learning - Blog - Global Risk Community2024-03-29T11:00:57Zhttps://globalriskcommunity.com/profiles/blogs/feed/tag/learning7 Essential Skills for Proficiency in Knowledge Workhttps://globalriskcommunity.com/profiles/blogs/7-essential-skills-for-proficiency-in-knowledge-work2023-05-21T18:20:48.000Z2023-05-21T18:20:48.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><span style="font-size:12pt;"><a href="{{#staticFileLink}}11134142271,RESIZE_930x{{/staticFileLink}}"><img class="align-full" src="{{#staticFileLink}}11134142271,RESIZE_710x{{/staticFileLink}}" alt="11134142271?profile=RESIZE_710x" width="710" /></a>In today's Knowledge-Based Economies, the capacity to acquire and implement knowledge is crucial for both personal and economic success.</span></p><p><span style="font-size:12pt;">Knowledge acquisition and application can be divided into 4 basic categories. Each category of knowledge represents a distinct aspect of knowledge: Know-what, Know-why, Know-who, and Know-how.</span></p><p><span style="font-size:12pt;">The importance of knowledge work to the success of an organization has grown in recent years. The struggle between competing organizations has shifted from tangible to intangible resources, in which knowledge and the capacity to apply knowledge play a crucial role. Having <a href="https://flevy.com/browse/flevypro/knowledge-management-km-strategy-3801">a solid Knowledge Management Strategy</a> has become increasingly important for sustaining a competitive advantage.</span></p><p><span style="font-size:12pt;">Knowledge workers—employees who are valued for their ability to think analytically, <a href="https://flevy.com/browse/marketplace/analytics--data-analysis-guidelines-4319">analyze data</a>, solve problems, and make decisions based on data-driven insights—now play a crucial role in steering innovation and progress within their organizations by creating, sharing, and utilizing knowledge. Their knowledge and abilities are crucial to their organizations' creativity, <a href="https://flevy.com/browse/flevypro/workplace-productivity-primer-3975">productivity</a>, profitability, and competitive advantage.</span></p><p><span style="font-size:12pt;">Multiple studies on the subject have been analyzed and synthesized to produce the following 7 skills that are essential to the success of a knowledge worker.</span></p><p><span style="font-size:12pt;">The work of Cochran and Ferrari (2009) served as the basis for selecting these skills, with the addition of "Personal Management" based on the researchers' own insights.</span></p><ol><li><span style="font-size:12pt;"><strong>Thinking Skills</strong></span></li><li><span style="font-size:12pt;"><strong>Communication</strong></span></li><li><span style="font-size:12pt;"><strong>Teamwork and Leadership</strong></span></li><li><span style="font-size:12pt;"><strong>Lifelong Learning and Self-direction</strong></span></li><li><span style="font-size:12pt;"><strong>Technology Use</strong></span></li><li><span style="font-size:12pt;"><strong>Ethics and Professionalism</strong></span></li><li><span style="font-size:12pt;"><strong>Personal Management</strong> </span></li></ol><p><span style="font-size:12pt;"><a href="https://flevy.com/browse/flevypro/7-skills-of-knowledge-work-7067" target="_blank"><img class="align-center" src="{{#staticFileLink}}11134141490,RESIZE_710x{{/staticFileLink}}" alt="11134141490?profile=RESIZE_710x" width="710" /></a></span></p><p><span style="font-size:12pt;">Each of these abilities is necessary for knowledge workers to prosper in their positions and contribute to the success of their organizations. Through policies, procedures, and <a href="https://flevy.com/browse/marketplace/organization-structure-6116">organizational structures</a>, organizations and their leaders should facilitate the acquisition and application of each of the 7 skills for knowledge work.</span></p><p><span style="font-size:12pt;">Let's delve somewhat deeply into a few of the skills.</span></p><h3><span style="font-size:12pt;"><strong>Thinking Skills</strong></span></h3><p><span style="font-size:12pt;">Thinking abilities are the capacity to employ information effectively in order to solve problems, create solutions, and complete duties.</span></p><p><span style="font-size:12pt;">Thinking skills encompass critical thinking, systems thinking, analysis skills, problem resolution, creativity, and design.</span></p><h3><span style="font-size:12pt;"><strong>Communication</strong></span></h3><p><span style="font-size:12pt;">Communication skills are the capacity to comprehend and convey ideas effectively. In addition to verbal and written communication, there is also nonverbal communication.</span></p><p><span style="font-size:12pt;">The 1st component of effective communication skills is the ability to comprehend and decipher complex information from a variety of sources and media. </span></p><p><span style="font-size:12pt;">The 2nd component is effectively and appropriately communicating this information in multiple formats.</span></p><h3><span style="font-size:12pt;"><strong>Teamwork and Leadership</strong></span></h3><p><span style="font-size:12pt;">Teamwork and Leadership refer to the capacity to collaborate with others to achieve a common goal.</span></p><p><span style="font-size:12pt;">Teamwork and leadership entail collaboration, motivation, and efficient management to attain shared objectives and maximize the team's effectiveness.</span></p><h3><span style="font-size:12pt;"><strong>Lifelong Learning and Self-direction</strong></span></h3><p><span style="font-size:12pt;">Self-direction and lifelong learning refer to the process of acquiring new skills, knowledge, and expertise in one's field of work or interest. Learning Organizations equip their employees with this capacity.</span></p><p><span style="font-size:12pt;">Interested in learning more about 7 Skills of Knowledge Work? You can download <a href="https://flevy.com/browse/flevypro/7-skills-of-knowledge-work-7067">an editable PowerPoint presentation on <strong>7 Skills of Knowledge Work</strong> here </a>on the <a href="https://flevy.com/browse">Flevy documents marketplace</a>.</span></p><h3><span style="font-size:12pt;"><strong>Do You Find Value in This Framework?</strong></span></h3><p><span style="font-size:12pt;">You can download in-depth presentations on this and hundreds of similar business frameworks from the <a href="https://flevy.com/pro/library">FlevyPro Library</a>. <a href="https://flevy.com/pro">FlevyPro</a> is trusted and utilized by 1000s of management consultants and corporate executives.</span></p><p><span style="font-size:12pt;">For even more best practices available on Flevy, have a look at our top 100 lists:</span></p><ul><li><span style="font-size:12pt;"><a href="https://flevy.com/top-100/strategy">Top 100 in Strategy & Transformation</a></span></li><li><span style="font-size:12pt;"><a href="https://flevy.com/top-100/consulting">Top 100 Consulting Frameworks</a></span></li><li><span style="font-size:12pt;"><a href="https://flevy.com/top-100/digital">Top 100 in Digital Transformation</a></span></li><li><span style="font-size:12pt;"><a href="https://flevy.com/top-100/opex">Top 100 in Operational Excellence</a></span></li><li><span style="font-size:12pt;"><a href="https://flevy.com/top-100/organization">Top 100 in Organization & Change</a></span></li></ul></div>Lean Product Development & Innovationhttps://globalriskcommunity.com/profiles/blogs/lean-product-development-innovation2021-08-08T12:19:39.000Z2021-08-08T12:19:39.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><img class="alignright size-medium wp-image-2076 align-right" src="http://powerpointing-templates.com/wp-content/uploads/2021/08/Lean1-300x198.jpg" alt="Lean1" width="300" height="198" />Improving Product Development competencies in designers and developers is a concern for senior leaders in the Manufacturing sector.</p><p>The approach most organizations take in developing <a href="https://flevy.com/browse/stream/human-resources">Human Resources</a> does not go beyond staffing the cream of the crop from leading global educational institutes. Talent Development to them is, typically, sending their people to attend workshops and keeping up with employee annual training hours’ goals, and that’s it. Companies usually spend more on acquiring latest manufacturing equipment or modern collaboration tools than they do to develop their greatest asset—their people.</p><p>Research on manufacturing practices unequivocally suggests that it’s primarily the inspiration to adopt a culture of <a href="https://flevy.com/browse/marketplace/implementing-a-continuous-improvement-system-1034">Continuous Improvement</a> in people that results in operational excellence. This Continuous Improvement Culture has more significance than implementing Lean practices across all processes.</p><p>The “<a href="https://flevy.com/browse/flevypro/lean-product-development-and-innovation-5802">Lean Product Development</a>” concept isn’t a new notion. The practice has been around since the 1980s. An MIT study in the 1980s revealed that manufacturing practices in Japanese automakers were totally opposed to those of auto manufacturers in the rest of the world. These approaches were referred to as “<a href="https://flevy.com/browse/marketplace/lean-manufacturing-160">Lean</a>” practices. Research into manufacturing practices of Toyota has spread the knowledge about Lean Product Development globally.</p><p>Lean concept is strikingly opposing to the philosophy that emphasizes on delegating the responsibility of developing the designers’ / developers’ capabilities to the Human Resources Department. In order to develop and deliver superior products, Lean Product Development focuses on enabling the developers build “personal dexterity” as the key element of success. The concept necessitates technical training and collaboration between developers.</p><p>Before embarking on the Lean Product Development and <a href="https://flevy.com/browse/stream/innovation">Innovation</a> journey, organizational leadership should work on finding answers to these 3 fundamental questions:</p><ol><li>In order to design better products, which critical insights do we need to develop regarding customers, products, and processes?</li><li>Which mediums, organizational knowledge, and tools are required to develop these insights?</li><li>Which organizational structures and ways of doing businesses are ideally suited to develop these valuable insights and improving the expertise of developers?</li></ol><p><a href="https://flevy.com/browse/flevypro/lean-product-development-and-innovation-5802"><img src="https://flevy.com/blog/wp-content/uploads/2021/08/Key-Questions-Lean-Product-Development.png" alt="" width="590" height="445" /></a></p><p>Pondering over these critical questions and answering them facilitates in creating a pool of skilled Product Designers and developers.</p><p>Let’s dive deeper into these questions.</p><h3><strong>Question 1</strong></h3><p>Lean Product Development emphasizes on developing a steady stream of products at an even pace—referred to as “<strong>Takt</strong>.” iPhone 1 and iPhone 2 are examples of a steady stream of products released at regular intervals in Apple’s iPhone value stream.</p><p>Takt has evolved the way products are designed. An initial product is developed as a means to validate an idea. Products are progressed from the initial product based on stakeholders’ feedback. The purpose of a <a href="https://flevy.com/browse/marketplace/lean--value-stream-mapping-vsm-599">value stream</a> of products is to improve the current product offerings, inspire the existing customers to upgrade, and tempt potential customers to try the product. In these evolving value streams, every product release serves as an opportunity to gain insights into the market.</p><p>The value enhancement through Takt has 2 broad objectives:</p><ul><li>Fixing problems in existing products and creating offerings meeting the customer needs.</li><li>Lowering manufacturing costs and improving quality.</li></ul><h3><strong>Question 2 </strong></h3><p>Lean Product Development underscores the significance of the medium through which developers should learn in order to create superior products. Developers’ capabilities in technical Problem Solving and learning what the others are doing helps enhance the quality of each new release. Development teams should have quick access to accumulating a thorough knowledge of the entire supply chain and the effect of their decisions on manufacturing. This assists in improving the efficiency of the developers.</p><p>Instead of learning and gaining knowledge through traditional ways, Lean Product Development encourages the developers to learn through Action Learning—the process where teams are continuously mentored and encouraged to learn collectively on the job, solve problems creatively, and test models to cope with real-life issues.</p><p>Interested in learning more about the key elements to consider before enabling Lean Product Development & Innovation, and the phases of the Lean process? You can download an <a href="https://flevy.com/browse/flevypro/lean-product-development-and-innovation-5802">editable PowerPoint on <strong>Lean Product Development & Innovation</strong> here</a> on the Flevy documents marketplace.</p><h3>Did You Find Value in This Framework?</h3><p>You can download in-depth presentations on this and hundreds of similar business frameworks from the <a href="https://flevy.com/pro/library">FlevyPro Library</a>. <a href="https://flevy.com/pro">FlevyPro</a> is trusted and utilized by 1000s of management consultants and corporate executives. Here’s what some have to say:</p><blockquote><p>“My FlevyPro subscription provides me with the most popular frameworks and decks in demand in today’s market. They not only augment my existing consulting and coaching offerings and delivery, but also keep me abreast of the latest trends, inspire new products and service offerings for my practice, and educate me in a fraction of the time and money of other solutions. I strongly recommend FlevyPro to any consultant serious about success.”</p><p>– Bill Branson, Founder at Strategic Business Architects</p></blockquote><blockquote><p>“As a niche strategic consulting firm, Flevy and FlevyPro frameworks and documents are an on-going reference to help us structure our findings and recommendations to our clients as well as improve their clarity, strength, and visual power. For us, it is an invaluable resource to increase our impact and value.”</p><p>– David Coloma, Consulting Area Manager at Cynertia Consulting</p></blockquote><blockquote><p>“FlevyPro has been a brilliant resource for me, as an independent growth consultant, to access a vast knowledge bank of presentations to support my work with clients. In terms of RoI, the value I received from the very first presentation I downloaded paid for my subscription many times over! The quality of the decks available allows me to punch way above my weight – it’s like having the resources of a Big 4 consultancy at your fingertips at a microscopic fraction of the overhead.”</p><p>– Roderick Cameron, Founding Partner at SGFE Ltd</p></blockquote></div>Machine Learning Where Various Fields Meethttps://globalriskcommunity.com/profiles/blogs/machine-learning-where-various-fields-meet2020-09-25T07:32:59.000Z2020-09-25T07:32:59.000ZBhupendra Prasadhttps://globalriskcommunity.com/members/BhupendraPrasad<div><p>Since the beginning of time, human beings have been utilizing various types of tools to accomplish numerous tasks. The imagination of the human brain led to the invention of various machines. Life becomes easy with these machines as they empower and enable humans to fulfill various needs, including traveling, industries, constructions, and computing.</p><p>Despite rapid advancement in the machine industry, intelligence remains the significant difference between humans and machines in doing their tasks. A human uses his or her sense to collect information from the environment; the human brain analyzes that information and then takes appropriate decisions. On the other hand, machines are not intelligent by nature. A machine cannot analyze data and take decisions.</p><p><a href="{{#staticFileLink}}8028339701,original{{/staticFileLink}}" target="_blank"><img src="{{#staticFileLink}}8028339701,original{{/staticFileLink}}" class="align-center" alt="8028339701?profile=original" /></a></p><p>It is when Alan Turing thought if it possible for the machine to think, then the intelligent machines’ era began in/around the mid 20th century. Since then, artificial intelligence (AI) has been evolving rapidly.</p><p></p><h2><strong>What is Machine Learning?</strong></h2><p>The term <strong><em>machine</em></strong> <strong><em>learning</em></strong> means to enable machines to think and learn without using any software. The goals of the machine-learning are to enable machines to do prediction, clustering, and make well-informed choices from a given dataset. Machine learning can be considered as a branch of <a href="https://www.skillxs.com/blog/artificial-intelligence-and-deep-learning-are-transforming-the-modern-era">artificial intelligence</a>. The statistical learning methods act as a backbone of intelligent software which is used to create machine intelligence.</p><p></p><h2><strong>Machine Learning Methods:</strong></h2><p>Four machine learning methods are explained below.</p><h3><strong>1. Supervised Learning:</strong></h3><p>In this machine learning technique, the objective is to conclude a function or mapping from the training data that is labeled. The training data contains X (input vector) and Y (output vector) of labels or tags. A tag or label from the Y vector is the description of its respective input example from X (input vector). Together they create a training example. In other words, the training data contains training examples.</p><p></p><h3><strong>2. Unsupervised Learning:</strong></h3><p>In this method, there is a lack of supervisors or training data. To put it simply, unlabeled data is what all we have. The objective is to find a hidden structure in this data. There can be various explanations for the data not having a label. It can be because of the unavailability of investments to pay for manual labeling or the innate nature of the data itself. With various devices of data collection, data is collected at an unmatched rate.</p><p></p><h3><strong>3. Semi-Supervised Learning:</strong></h3><p>In this type of machine learning method, the given data are a combination of classified and unclassified data. This mixture of labeled and unlabeled data is utilized to produce a suitable model for the classification of the data. In many of the cases, labeled data is very less and there is plenty of unlabeled data. To grasp a model that can predict classes of future test data is the primary target of semi-supervised learning.</p><p></p><h3><strong>4. Reinforcement Learning:</strong></h3><p>This type of machine learning technique intends to use observations collected from the interaction with the surroundings to take actions that would increase the reward or reduce the risk.</p><p></p><h2><strong>Applications of Machine Learning</strong></h2><p>Machine learning is a combination of various fields and it has proved itself to be able to solve many real-world problems and challenges. Let’s see some applications of machine learning:</p><p></p><h3><strong>1. Able to Recognize Handwritten Postal Codes</strong></h3><p>The US Postal Service was successfully in using the potential of machine learning in the 1960s when they were able to use machines to automatically read the different address codes of typed addresses to sort letters. There is a typed, handwritten, or printed content of the text in the images that are readable for humans. Optical character recognition technology is utilized so that machines can also read such text.</p><p>OCR software tries to analyze the image and attempts to recognize the alphabetic letter and numeric digit. When it successfully identifies a character, it converts it into machine-encoded text. Then, we can electronically edit, search, and compress this machine-encoded text. Moreover, this encoded text can further be used as an input for various applications like automatic translation, text-to-speech, and text mining. With the help of precise OCR, data entry becomes easy, quicker, and cost-effective.</p><p></p><h3><strong>2. Diagnosis with the help of Computer</strong></h3><p>Algorithms used for pattern recognition can be helpful in computer-aided diagnosis. It can help doctors in explaining medical images in comparatively less time. Medical images of the various medical tests, for example, X-rays, MRI, and ultrasound are the sources of information explaining a patient’s condition.</p><p>A radiologist has to analyze and gauge the output of these medical tests that are in the form of digital images. The radiologist must be assisted by a machine due to time constraints. Computer-aided diagnosis utilizes methods of pattern recognition from machine learning to recognize doubtful things in the image.</p><p></p><h3><strong>3. Vision of the Computer</strong></h3><p>The primary objective behind making robots is to provide them with the ability to see and behave accordingly after understanding the situation. The in-built cameras in a robot can give images. However, they will not assist the robot to identify or interpret the image. But what type of learning can a robot do by using pattern recognition?</p><p>There is a popular event called Robot Soccer World Cup which is a global tournament of soccer for robots. The RoboCup 2015 which was held in China got massive popularity. In the game, the robots are anticipated to coordinate and cooperate with the other members (which are also robots) of their team to win the match. They must categorize objects and identify activities. They do such tasks with the help of input from their cameras. These tasks come purely under the domain of pattern recognition, a branch of machine learning.</p><p></p><h3><strong>4. Speech Recognition</strong></h3><p>The domain of speech recognition intends to create techniques and methods that can enable the computer to identify and translate spoken language into text. Translation of speech that is automatic finds its applications in numerous settings such as court reporting and video captioning.</p><p>This innovation can be beneficial to people with disabilities. Over a period of time, the precision of speech recognition has been improving. While it is a fact that voice-controlled software, for example, Amazon’s Alexa, Microsoft’s Cortona, and Apple’s Siri fail to understand our speech sometimes, but the things will likely improve in the coming future.</p><p></p><h2><strong>What lies in the future for Machine Learning?</strong></h2><p>Machine learning is the science of computer algorithms that has been consistently improving and has been central to artificial intelligence since its inception. With the rapid evolution of the field, there has been a rise in the uses, demands, and significance of machine learning.</p><p>Machines can help in filtering out only useful information that assists in a major development, and we are already observing how the innovation of machine learning is being utilized and implemented in a wide range of industries. Recent advancement in machine learning has been boosted by the development of new computer algorithms & theory and by the ongoing expansion in the availability of online data and low-cost computation. The acceptance of various types of machine learning methods can be seen in various fields such as science and technology.</p><p></p><p>With extensive ongoing research and rapid advancement, it can be assumed that machine learning will flourish extensively in the near future. <strong><em>Due to the high demands of machine learning techniques across different industries, the career prospects in this field are bright and lucrative.</em></strong></p><p></p><p><strong>SkillXS IT Solutions</strong> is the pioneer in the field of machine learning courses. It provides online and affordable machine learning courses that can take your career to the next level. Different modules have been prepared by the machine learning experts of SkillXS IT Solutions to simplify your way. These modules are designed in such a way that anyone from any background can easily grasp them.</p><p>Owing to infinite applications in numerous fields, a career in machine learning will never disappoint you. It is a stable and lucrative career option that will provide money and balanced life. <strong>According to some reliable online website, the average salary of a machine learning engineer in India is approx. 7 lakhs per annum</strong>. The bright side is this would increase substantially with experience.</p><p></p><p>So, why are you waiting for some miracle to happen which will take your career to a positive plane? Go for digital machine learning courses by SkillXS IT Solutions today and ensure a positive and highly-paid career for yourself.</p><p></p><p><strong>Book your seat:</strong> <a href="https://www.skillxs.com/course/112/machine-learning-specialist">https://www.skillxs.com/course/112/machine-learning-specialist</a></p><p></p><h3><strong>What is the Pay by Experience Level for Machine Learning Engineers?</strong></h3><p>An entry-level Machine Learning Engineer with less than 1-year experience can expect to earn an average total compensation (includes tips, bonus, and overtime pay) of Rs.501,571 based on 113 salaries. An early career Machine Learning Engineer with 1-4 years of experience earns an average total compensation of Rs.693,442 based on 328 salaries. A mid-career Machine Learning Engineer with 5-9 years of experience earns an average total compensation of Rs.1,159,032 based on 78 salaries. <strong>An experienced Machine Learning Engineer with 10-19 years of experience earns an average total compensation of Rs.1,948,718 based on 19 salaries.</strong></p><p></p><h2><strong>Summary:</strong></h2><p>Machine learning is not a new subject. It can be considered as a subset of artificial intelligence. The current development in machine learning is bound to the growth in some important areas such as data availability, computer power, and algorithmic innovation.</p><p>Machine learning finds its application across various fields such as speech recognition, computer diagnosis and robotic, etc. Moreover, machine learning has been successful in creating a revolution in these fields by taking them to the next level of functionality and efficiency. Therefore, machine learning will take an upward curve in the near future when it comes to the applications. This field will grow more and more in the next few years.</p><p> </p></div>Learning Organizations - Making Supplier Networks A Valuable Source of Competitive Advantage For Youhttps://globalriskcommunity.com/profiles/blogs/learning-organizations-making-supplier-networks-competitive2020-09-08T07:36:31.000Z2020-09-08T07:36:31.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><a href="{{#staticFileLink}}8028338467,original{{/staticFileLink}}" target="_blank"><img class="align-right" src="{{#staticFileLink}}8028338467,original{{/staticFileLink}}" alt="8028338467?profile=original" width="400" /></a>Large manufacturers are often reluctant to share knowledge with suppliers. However, supplier networks are considered a great source of gaining competitive edge by <a href="https://flevy.com/business-toolkit/learning-organization">Learning Organizations</a>.</p><p>A Learning Organization is founded on innovation, free flow of ideas, and a consistent focus on transforming the ways of doing business in order to achieve the desired results. For instance, Toyota out-performed its competitors in the 2000s era by incorporating the principles of Learning Organization in its culture and sharing technology and knowledge with its suppliers. This resulted in less defects, lower inventory levels, and improved labor productivity for its suppliers and higher profits for Toyota.</p><p>Specifically, Toyota became a Learning Organization by developing the infrastructure and inter-organizational processes that enabled quick and free flow of explicit and tacit knowledge to its supplier network. The Learning Organization at Toyota features 3 inter-organizational processes, which became foundational to its approach to Supply Chain Management::</p><ul><li><strong>Supplier Associations</strong></li><li><strong>Consulting Groups</strong></li><li><strong>Learning Teams</strong></li></ul><p><a href="https://flevy.com/browse/flevypro/learning-organization-supplier-networks-5216"><img class="aligncenter size-full wp-image-7350" src="https://flevy.com/blog/wp-content/uploads/2020/09/LO-Toyota-LO-image-for-blog.png" alt="" width="1002" height="752" /></a></p><p><a>Let’s dive deeper into these processes.</a></p><h3><strong>Supplier Associations</strong></h3><p>Supplier Associations were setup by Toyota, initially, to share information, valuable experience, and to extract feedback. The knowledge-sharing mechanisms that Toyota’s Supplier Associations employ include high-level sharing of explicit knowledge within the supply network regarding production plans, policies, and market trends. The Supplier Associations hold bimonthly/monthly meetings to discuss key topics that include cost, quality, safety, best practices, and social activities.</p><p>These Supplier Associations enable suppliers to build relationships in Toyota at higher levels which was not a common practice in the industry. This resulted in tremendous improvements in supplier performance due to explicit information and experience-sharing, which ultimately benefited Toyota to achieve excellence.</p><h3><strong>Consulting Groups</strong></h3><p>By establishing Consulting Groups in the 1960s, Toyota started the practice of providing free consultation regarding valuable production knowledge to its suppliers through experts. This was accomplished through the creation of Operations Management Consulting Department (OMCD) in Japan in the 1960s and Toyota Supplier Support Center (TSSC) in the U.S. in 1992.</p><p>By developing the Consulting Groups infrastructure, Toyota’ consultants spent significant time at their supplier sites free of charge, helping them resolve problems in the Toyota Production System (TPS) implementation. Suppliers, in turn, were encouraged to share their project results and open their operations to one another. This explicit sharing of results and knowledge enabled other suppliers to replicate best practices and benefited Toyota by negotiating Target Pricing with its suppliers.</p><h3><strong>Learning Teams</strong></h3><p>Learning Teams—the 3<sup>rd</sup> pillar of a Learning Organization—were pioneered by Toyota in 1977 by organizing its suppliers into Voluntary Study Groups in Japan or Plant Development Activity (PDA) groups in the U.S. The Learning Team collaborated voluntarily on production and <a href="https://flevy.com/business-toolkit/quality-management">quality management</a>.</p><p><strong> </strong>The Learning Teams were—and still are—responsible for determining a theme and spending time addressing each member’s problems related to that theme, making the members learn significantly by having outside pair of eyes look at their problems. This helped Toyota’s suppliers’ network achieve effective tacit knowledge transfer, explore new ideas and applications of Toyota Production System (TPS), transfer valuable lessons learnt to all stakeholders, and enhance production quality.</p><p>Toyota follows a deliberate step-wise path to create Knowledge-Sharing Networks. These Knowledge-Sharing Networks are an invaluable resource for enhancing both overt and implicit information and experiences for the organization.</p><p>Key dynamics of Toyota’s Knowledge-Sharing Networks involve creating a non-threatening one-on-one relationship with suppliers through the Suppliers Association in the form of financial as well as valuable knowledge-sharing assistance.</p><p>Interested in learning more about the dynamics of Toyota’s Knowledge-Sharing Networks, the fundamental barriers to learning, and their implications on the suppliers and the manufacturer? You can download <a href="https://flevy.com/browse/flevypro/learning-organization-supplier-networks-5216">an editable PowerPoint on <strong>Learning Organization: Supplier Networks</strong> here</a> on the <a href="https://flevy.com/browse">Flevy documents marketplace</a>.</p><h3><strong>Are you a Management Consultant?</strong></h3><p>You can download this and hundreds of other <a href="http://flevy.com/pro/library/frameworks">consulting frameworks</a> and <a href="http://flevy.com/pro/library/consulting">consulting training guides</a> from the <a href="http://flevy.com/pro/library">FlevyPro library</a>.</p></div>Artificial Intelligence and Deep Learning are Transforming Modern Erahttps://globalriskcommunity.com/profiles/blogs/artificial-intelligence-and-deep-learning-are-transforming-modern2020-08-15T06:57:29.000Z2020-08-15T06:57:29.000ZBhupendra Prasadhttps://globalriskcommunity.com/members/BhupendraPrasad<div><p>Ever since the invention of machines or computers, their ability to do difficult tasks grew significantly. The recent growth in computer and machine algorithms has changed the face of engineering and science. The growth is so tangible that it is significantly rebuilding relationships among people, organizations, intelligent behavior, and engineered systems.</p><p></p><p><a href="{{#staticFileLink}}8028329270,original{{/staticFileLink}}" target="_blank"><img src="{{#staticFileLink}}8028329270,original{{/staticFileLink}}" class="align-center" alt="8028329270?profile=original" /></a></p><p></p><p>The computer systems have been developed to increase the speed and reduce size in terms of time. The curiosity of humans has pushed them to wonder “Can a controlled system or machine think and behave like humans?”</p><p></p><p>Probably such curiosity had led to the invention of modern machine learning systems such as Artificial Intelligence. Before we dig deep into the subject, let’s first understand what Artificial intelligence is.</p><p></p><h2><strong>What is Artificial Intelligence?</strong></h2><p>In 1956, John McCarthy had coined the term <strong>Artificial Intelligence</strong> (AI). A commonly believed notion that “<em>Machine will think and do like humans more accurately in the near future</em>” is the concept behind Artificial Intelligence. In other words, AI can be defined as “the engineering and science of making intelligent machines, especially computer programs”.</p><p></p><p>AI is similar to making a computer or software that thinks intelligently and in same manner as intelligent humans. On the other hand, <strong>Deep Learning</strong> is a subset of Artificial Intelligence that emulates the functioning of the human brain in processing data for use in making decisions, detecting objects, recognizing speech, and translating languages. Deep learning methods can work without human supervision.</p><p></p><h2><strong>Why AI is gaining Massive Popularity?</strong></h2><p>The Digital era has brought about an explosion of data in varied forms and from different regions of the world. This data is known as big data that is taken from different search engines, social media, e-commerce platforms, and other digital sources, etc.</p><p></p><p>In this, there is a huge amount of unstructured data that would take decades for humans to understand and extract relevant information. Many companies realize the potential of AI systems like Deep Learning in unraveling this wealth of data into easy to understand format.</p><p></p><p>There is a positive correlation between the popularity of AI and its growing advantageous applications to vast fields.</p><p>Now, let’s dive deep into the applications of AI to different fields because of which Artificial Intelligence is gaining massive popularity.</p><p></p><p>If you’re seeking to enhance your skills and career prospects, then nothing can be better than learning Artificial Intelligence. Extensive and exclusive courses on Artificial Intelligence are offered by <strong><em><a href="https://www.skillxs.com/">SkillXs</a></em></strong>.</p><p></p><h2><strong>Applications of Artificial Intelligence</strong></h2><p>Artificial Intelligence has a dominant role in various fields owing to its numerous beneficial applications.</p><p></p><h3><strong>1. Medicine</strong></h3><p>The evolutionary calculation is the term for some computational strategies in line with the ordinary growth process that mimics the system of common choice and survival of the fittest. Artificial Intelligence has been effectively helping PC to locate the tumors in therapeutic pictures. AI is similarly known to reach to the conclusion of various types of growth, and inborn heart surrenders.</p><p></p><h3><strong>2. Accounting Databases</strong></h3><p>AI is known to mitigate the problems of accounting databases. There are some issues with existing accounting database systems such as the needs of decision-makers are not fulfilled by accounting information, humans do not comprehend the computerized databases, and accounting systems are not easy to use, etc. Integrating AI systems with these databases can help in the appraisal of huge volumes of information with or without a leader’s support.</p><p></p><h3><strong>3. Gaming World</strong></h3><p>Playing games is one of the favorite things to do for many people. With the advancement of computer games, they have come a long way from modest text-based to the 3D graphics games with the complex universe. Today, AI is the most crucial part of any computer game. Playing the game without artificial intelligence would be so tedious. AI provides complex and new features to the gaming world. Spatial thinking, learning, audio use, assets portion, circumstance investigation, direction, rushing are some of the many different ways that AI adds to modern era computer games.</p><p></p><h3><strong>4. Traffic Signal Recognition</strong></h3><p>Various devices can perceive, recognize, and follow traffic signs from moving vehicles. Existing algorithms and systems cannot distinguish traffic signs. Locating and detection is done by AI methods based on color segmentation using different shape models. 3D technology is also often used. Other methods that use machine learning algorithms are also used for detection and classification.</p><p></p><h2><strong>Future Outlook</strong></h2><p>Using Artificial Intelligence with advanced research work, it would be possible to manage the roads’ traffic. Additionally, by applying different algorithms of AI, it would be possible to reduce the number of accidents that happen on the road.</p><p></p><p>Though AI has not touched the common people’s lives directly, but it is open to areas like neutral networks, medical, industry, space, military, and geology. With extensive research and advancement, we can expect bright forecasts in the field of AI and we will be able to move from the concept of humans like machines to developing the machinery that will be able to understand and act like intelligent humans.</p><p></p><p>That will be the era where robots based on AI will be doctors in hospitals, drivers in a bus, cook in restaurants, and professors in the classroom.</p><p>Experts of Artificial Intelligence predict that there will be 2.3 million jobs in the field of AI by 2020. Moreover, it is also predicted that AI technology will destroy around 1.7 million jobs worldwide, but still creating about half a million new jobs all over the world.</p><p></p><p>Additionally, AI offers various feasible and unique career possibilities. AI is used in various fields ranging from entertainments to transportation, yet there is a dearth of skilled and qualified professionals.</p><p>Hence, we can conclude that careers in AI technology can take a person to great heights in terms of growth, stability and money.</p><p></p><h2><strong>To conclude</strong></h2><p>There is extensive research going on in the field of Artificial Intelligence and Deep Learning. The domain of AI gives machines the ability to think intelligently and analytically. There is a huge contribution of AI techniques to various areas. AI would positively play a vital role in different fields in the coming future. AI techniques are used in computer games to make them more user-friendly. Moreover, AI plays a vital role in managing traffic signals and reducing the number of accidents on the road.</p><p></p><p>Owing to vast applications, it is pertinent to say that the field of AI will flourish more in the times to come. It is not wrong to say AI would be going to attract the attention of aspirants, researches, and the common people to a great degree in coming future.</p><p></p><p>Mastering Artificial Intelligence and other digital courses become easy with <em>SkillXs</em>. You may click on the given below link to know more about the courses.</p><p></p><p><strong>To join course click here:</strong> <a href="https://www.skillxs.com/course/115/artificial-intelligence-and-deep-learning">https://www.skillxs.com/course/115/artificial-intelligence-and-deep-learning</a></p></div>How to Create a Next-Generation Learning Organization That Enables Digital Transformation?https://globalriskcommunity.com/profiles/blogs/how-to-create-a-next-generation-learning-organization-that2020-07-27T09:01:25.000Z2020-07-27T09:01:25.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><a href="{{#staticFileLink}}8028327853,original{{/staticFileLink}}" target="_blank"><img class="align-right" src="{{#staticFileLink}}8028327853,original{{/staticFileLink}}" alt="8028327853?profile=original" width="300" /></a>Survival of a business in this digital age largely depends on its ability to timely embrace Digital Transformation. Digital Transformation entails using Digital Technologies to streamline business processes, culture, and customer experiences.</p><p>In order to compete today—and in future—and to enable Digital Transformation, organizations should work towards fostering a culture of continuous learning, since Digital Transformation depends on learning and innovation. The organizations that holistically embrace this culture are called “<a href="https://flevy.com/browse/flevypro/digital-transformation-next-generation-learning-organization-5158">Next-Generation Learning Organizations</a>.”</p><p>The next generation of Learning Organizations capitalize on the following key variables; Humans, Machines, Timescales, and Scope. These organizations incorporate technology in enabling dynamic learning. Creating Next-Generation Learning Organizations demands reorganizing the entire enterprise to accomplish the following key functions to win in future:</p><ol><li><strong>Learning on Multiple Timescales</strong></li><li><strong>Man and Machine Integration</strong></li><li><strong>Expanding the Ecosystem</strong></li><li><strong>Continuous Learning</strong></li></ol><p><a href="https://flevy.com/browse/flevypro/digital-transformation-next-generation-learning-organization-5158"><img class="aligncenter size-full wp-image-7153" src="https://flevy.com/blog/wp-content/uploads/2020/07/image-2.png" alt="" width="1200" height="1080" /></a></p><h3><strong>Learning on Multiple Timescales</strong></h3><p>Next-Generation Learning Organizations make the best use of their time. They appreciate the objectives that can be realized in the short term and those that take long term to accomplish. Learning quickly and in the short term is what many organizations are already doing, e.g., by using Artificial Intelligence, algorithms, or dynamic pricing. Other learning variables that effect an organization gradually are also critical, e.g., changing social attitudes.</p><h3><strong>Man and Machine Integration</strong></h3><p>Rather than having people to design and control processes, Next-generation Learning Organizations employ intelligent machines that learn and adjust accordingly. The role of people in such organizations keeps evolving to supplement intelligent machines.</p><h3><strong>Expanding the Ecosystem</strong></h3><p>The Next-generation Learning Organizations incorporate economic activities beyond their boundaries. These organizations act like platform businesses that facilitate exchanges between consumers and producers by harnessing and creating large networks of users and resources available on demand. These ecosystems are a valuable source for enhanced learning opportunities, rapid experimentation, access to larger data pools, and a wide network of suppliers.</p><h3><strong>Continuous Learning</strong></h3><p>Next-generation Learning Organizations make learning part and parcel of every function and process in their enterprise. They adapt their vision and strategies based on the changing external environments, competition, and market; and extend learning to everything they do.</p><p>With the constantly-evolving technology landscape, organizations will require different capabilities and structures to sustain in future. A majority of the organizations today are able to operate only in steady business settings. Transforming these organizations into the Next-Generation Learning Organizations—that are able to effectively traverse the volatile economic environment, competitive landscapes, and unpredictable future—necessitates them to implement these 5 pillars of learning:</p><ol><li><strong>Digital Transformation</strong></li><li><strong>Human Cognition Improvement</strong></li><li><strong>Man and Machine Relationship</strong></li><li><strong>Expanded Ecosystems</strong></li><li><strong>Management Innovation</strong></li></ol><p><strong>1. Digital Transformation</strong></p><p>Traditional organizations—that are dependent on structures and human involvement in decision making—use technology to simply execute a predesigned process repeatedly or to gain incremental improvements in their existing processes. The <a href="https://flevy.com/browse/flevypro/digital-transformation-next-generation-learning-organization-5158">Next</a><a href="https://flevy.com/browse/flevypro/digital-transformation-next-generation-learning-organization-5158">-generation Learning Organizations (NLOs)</a>, in contrast, are governed by their aspiration to continuously seek knowledge by leveraging technology. NLOs implement automation and autonomous decision-making across their businesses to learn at faster timescales. They design autonomous systems by integrating multiple technologies and learning loops.</p><p><strong>2. Human Cognition Improvement</strong></p><p>NLOs understand AI’s edge at quickly analyzing correlations in complex data sets and are aware of the inadequacies that AI and machines have in terms of reasoning abilities. They focus on the unique strengths of human cognition and assign people roles that add value—e.g., understanding causal relationships, drawing causal inference, counterfactual thinking, and creativity. Design is the center of attention of these organizations and they utilize human imagination and creativity to generate new ideas and produce novel products.</p><p><strong>3. Man and Machine Relationship</strong></p><p>Next-generation Learning Organizations (NLOs) make the best use of humans and machines combined. They utilize machines to recognize patterns in complex data and deploy people to decipher causal relationships and spark innovative thinking. NLOs make humans and machines cooperate in innovative ways, and constantly revisit the deployment of resources, people, and technology on tasks based on their viability.</p><p>Interested in learning more about the other pillars of Learning? You can download <a href="https://flevy.com/browse/flevypro/digital-transformation-next-generation-learning-organization-5158"><u>an editable PowerPoint on <strong>Digital Transformation: Next-generation Learning Organization</strong> here</u></a> on the <a href="https://flevy.com/browse">Flevy documents marketplace</a>.</p><h3><strong>Are you a Management Consultant?</strong></h3><p>You can download this and hundreds of other <a href="http://flevy.com/pro/library/frameworks">consulting frameworks</a> and <a href="http://flevy.com/pro/library/consulting">consulting training guides</a> from the <a href="http://flevy.com/pro/library">FlevyPro library</a>.</p></div>Digital Education Is Taking The Concept Of Online Education To New Horizonshttps://globalriskcommunity.com/profiles/blogs/digital-education-is-taking-the-concept-of-online-education-to2020-07-23T06:46:26.000Z2020-07-23T06:46:26.000ZKBV Researchhttps://globalriskcommunity.com/members/KBVResearch<div><p>When things like ticket booking, watching TV shows, ordering food are being digital, education is still lagging in terms of digital education. The number of Internet users is growing increasingly with an increase in the number of smartphones. It provided a good chance to provide education online.</p><p></p><p><a href="{{#staticFileLink}}8028334060,original{{/staticFileLink}}" target="_blank"><img src="{{#staticFileLink}}8028334060,original{{/staticFileLink}}" class="align-center" alt="8028334060?profile=original" /></a></p><p></p><p>Online education is slowly and steadily becoming popular with the interest of working professionals to learn new things, technology. <a href="https://www.kbvresearch.com/digital-education-market/">Digital education</a> is an academic practice that ultimately helps students. This makes use of a wide variety of technology-enhanced education strategies. This includes blended learning, flipped learning, personalized learning, and other approaches that rely on digital tools to a minor or large degree.</p><p></p><h2><strong>What is digital education?</strong></h2><p>Digital education is a creative use of interactive tools and technologies during teaching and learning and is also referred to as technology-enhanced learning (TEL) or e-learning. Exploring the use of new technology offers educators the opportunity to develop engaging learning opportunities in the courses they teach, which may take the form of blended or fully online courses and programs.</p><p></p><p>Digital education encourages learners to access value-added education in remote areas, giving everyone equal opportunities for education. Students living in Tier 2 and Tier 3 cities no longer need to move to urban cities for higher or specialized education, as digital learning has affected their homes and transformed their homes into teaching space. Cutting-edge know-how is enlightening scholars sitting in the comfort of their homes, while they only need an internet connection to make the most of the amenities. Anyone can easily acquire online, regardless of their physical and demographic changes.</p><p></p><h2><strong>Digital education vs. traditional education</strong></h2><p>Digital education is increasingly replacing traditional education methods on a daily basis. Given how quickly classrooms are evolving, it's best to forget the approaches you may recall when you were in school and start thinking about newer teaching and learning techniques focused on digital education tools and technologies. The use of digital learning in classrooms can range from the basic use of tablets instead of paper to the use of sophisticated software programs and equipment rather than a simple pen. Here's how digital learning is a step up from traditional education methods.</p><p></p><h2><strong>Digital education is making students self-motivated and more accountable</strong></h2><p>Students using digital education tools and technology are more engaged in the process and more interested in expanding their knowledge base; they may not even understand that they are actively learning while they learn by engaging methods such as peer education, teamwork, problem-solving, reverse coaching, idea maps, gaming, staging, role-playing, and storytelling.</p><p></p><p></p><p>Since digital learning is far more interactive and memorable than bulky textbooks or one-sided lectures, it provides a better context, a greater sense of understanding, and more engaging activities than traditional education methods. It makes it easier for students to connect with learning materials. Furthermore, they also offer a more interesting and engaging way to digest information. This is reflected in their retention and test scores. Also, as students can track their progress, motivation and accountability can be improved.</p><p></p><h2><strong>Digital education tools and technology is rapidly increasing information sharing</strong></h2><p>Over recent years, the switch from print to digital has had an impact on how we learn. Much like the printing press did six centuries ago; this transition is changing formal education and growing learning opportunities. Digital learning not only allows students to access more and more content, but it also ensures that the knowledge in question is customized to their personal needs. The most valuable benefit of digital learning is the ability to help each student learn at the best possible pace and path.</p><p></p><p>Digital learning tools and technologies enable educators to share information quickly with other educators in real-time. The explosion of free and open content and tools has created an ecosystem for exchanging the economy. By accepting digital technology and interactive learning, classrooms around the country and across the globe can not only communicate with one another and share insights, but can also improve study, experience, and communication skills. Practice also allows educators to enjoy a level playing field. Schools will save money by providing equal access to educational materials to expensive private schools.</p><p></p><h2><strong>Traditional education methods have to be replaced</strong></h2><p>Traditional lectures can still exist along with new-age learning tools and technology, but instructional materials will be provided as a supplement to classroom practices and moved online for students to refer beyond the classroom. Classroom time is often used to discuss the curriculum, engage in team activities, and complete class projects. Students also have the opportunity to pace their learning and even study using a remote learning platform if they want to do so.</p><p></p><p>By helping children think beyond their typical learning patterns, digital learning inspires creativity and makes children feel a sense of accomplishment that encourages further education. Digital learning tools and technology fill gaps where traditional classroom teaching is stagnating behind. In addition, some of the efficiencies that such tools bring are simply unparalleled by traditional learning techniques. Digital education is an innovative means to minimize costs, optimize capital, and improve both visibility and influence for students and educators alike.</p><p></p><h2><strong>Advantages of digital education</strong></h2><p>Traditional classroom-based education is becoming obsolete. Consider examples of online or on-demand streaming services such as Netflix, Amazon Prime, etc. It provides us with a personalized and on-demand television experience. It eliminates location, system, and timing constraints. Television programs, athletic events are broadcast in a personalized way. Similarly, the delivery of education or the learning process must be personalized.</p><p></p><p>The traditional classroom-based lecture process may not benefit each person. Every individual has some strengths and weaknesses, and the speed of understanding a particular topic is different for everybody. It also depends on particular students who are involved in a particular topic or subject. Personalized learning using technology is one of the patterns that will dominate over the coming year.</p><p></p><p>Digital education facilitates continuous feedback from content-integrated evaluation, neuro-games, simulations, and interactive learning. When students can track their progress, motivation and ownership can be enhanced. Cloud platforms make it easy for teachers to communicate and manage their students regardless of where they are located.</p><p></p><h2><strong>Barriers to digital education</strong></h2><p>Digital education at the moment is not fully controlled by the government. Most of the time, students or practitioners are looking to complete a course from a certified/Govt-approved educational institution. It can help them get a job after finishing the course. Online course providers offer courses that are autonomous, private. These cases certainly help individuals, but their acceptability or scale to the mass market is limited due to a non-regulated area.</p><p></p><p>Inequality is rife in our society in all its variations. Moreover, given the costs of modern technology, not every student could afford it. That is why, if the overall digital transition of the education sector is to succeed, classes need to provide students with all the requisite tools and materials in a universal manner. Conversely, teachers do not have to extend to the individual student level, but rather can limit it to the front-of-the-classroom tools.</p><p></p><h2><strong>To sum up</strong></h2><p>The digital education market is rapidly transforming the methods of education altogether. Education is however lagging in terms of technology adoption. Education is something that will bring a positive difference to the world. Education technology will continue to remove the current barriers to providing quality education around the globe.</p><p></p><p><strong>Free Valuable Insights:</strong> <a href="https://www.kbvresearch.com/news/digital-education-market/">Global Digital Education Market to reach a market size of USD 48.4 billion by 2026</a></p><p></p><p>Adaptability to vocational education, executive management courses is on the higher side, as many working professionals choose courses that they can easily learn; sign up for in-office or at home. Higher education is now gradually entering the digital age. Online certifications, value-added certifications are becoming increasingly popular with college students. Most of these courses are intended to improve the employability of students.</p></div>5 Core Pillars Essential to Evolve into the Next-Generation Learning Organizationhttps://globalriskcommunity.com/profiles/blogs/5-core-pillars-essential-to-evolve-into-the-next-generation2020-07-02T17:46:07.000Z2020-07-02T17:46:07.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><a href="{{#staticFileLink}}8028327853,original{{/staticFileLink}}" target="_blank"><img class="align-right" src="{{#staticFileLink}}8028327853,original{{/staticFileLink}}" alt="8028327853?profile=original" width="300" /></a></p><p><a href="https://flevy.com/browse/stream/transformation">Transformation</a> of an organization into a Next-generation Learning Organization (NLO) is a challenging endeavor. The main hurdles include convoluted hierarchies, bureaucratic red tape, delayed decision making, and complicated organizational systems and processes.</p><p>To develop a learning organization, leadership needs to trim down bureaucracy and complexities. They should make the best use of technology to gather holistic real-time data, deploy <a href="https://flevy.com/business-toolkit/artificial-intelligence">Artificial Intelligence</a> at scale, and develop data-driven decision-making systems.</p><p><a href="https://flevy.com/browse/flevypro/next-gen-learning-organization-core-pillars-5133">Five Core Pillars of Learning</a> are essential for the creation of a <a href="https://flevy.com/browse/flevypro/next-gen-learning-organization-core-pillars-5133">Next-generation Learning Organization</a>, including:</p><ol><li><strong>Digital Transformation</strong></li><li><strong>Human Cognition Improvement</strong></li><li><strong>Man and Machine Relationship</strong></li><li><strong>Expanded Ecosystems</strong></li><li><strong>Management Innovation</strong></li></ol><p><a href="https://flevy.com/browse/flevypro/next-gen-learning-organization-core-pillars-5133"><img class="aligncenter size-full wp-image-6959" src="https://flevy.com/blog/wp-content/uploads/2020/07/5-Pillars-of-Learning-Org.png" alt="" width="962" height="722" /></a></p><p>Let's take a deep dive into the first 3 Core Pillars.</p><h3><strong>1. Digital Transformation</strong></h3><p>The first pillar is <a href="https://flevy.com/browse/stream/digital-transformation">Digital Transformation</a>. Next-generation Learning Organizations (NLOs) are characterized by their speed of learning and their adeptness to take action based on new insights. They use emerging technologies to automate as well as “autonomize” their businesses, without relying too much on human intervention and decision-making.</p><p>By autonomizing, the NLOs enable machines to learn, take action, and evolve on their own based on continuous feedback. They create integrated learning loops where information flows automatically from digital platforms into AI algorithms where it is mined in run-time to gather new insights. The insights are passed to action systems for necessary action that create more data, which is again mined by AI, and the cycle continues, facilitating learning at fast pace.</p><h3><strong>2. Human Cognition Improvement</strong></h3><p>Next-generation Learning Organizations (NLOs) schedule time for their people to have unstructured reflection on their work. While most organizations fear disruption of human work in future by AI and machines, NLOs assign unique roles to their people based on human cognition strengths—e.g., understanding relationships, drawing causal judgment, counterfactual thinking, and creativity. These organizations are aware of AI’s advantage—in analyzing correlations in complex data promptly—as well as its shortcomings in terms of reasoning abilities and interpretation of social / economic trends. NLOs make design the center of their attention and utilize human creativity and imagination to generate new ideas and produce novel products. They assign roles accordingly, inspire imagination in people by exposing them to unfamiliar information, and inculcate dynamic collaboration.</p><h3><strong>3. Man and Machine Relationship</strong></h3><p>NLOs foster innovative ways to promote collaboration between people and machines. They recognize that this helps them in better utilization of resources, maximize synergies, and learn dynamically.</p><p>To create effective collaboration between people and machines, NLOs develop robust human-machine interfaces. The existing AI systems lack the ability to decipher everything, which is an area where humans excel. NLOs supplement these shortcomings by setting up human-machine interfaces, where humans assist the AI by corroborating its actions and suggesting sound recommendations. These learning organizations bifurcate responsibilities based on the risks involved, assign humans and machines appropriately against each job, and select a suitable level of generalization and sophistication between humans and machines.</p><p>Interested in learning more about the Core Pillars of Learning? You can download <a href="https://flevy.com/browse/flevypro/next-gen-learning-organization-core-pillars-5133"><u>an editable PowerPoint on <strong>Next-generation Learning Organization: Core Pillars</strong> here</u></a> on the <a href="https://flevy.com/browse">Flevy documents marketplace</a>.</p><h3><strong>Are you a Management Consultant?</strong></h3><p>You can download this and hundreds of other <a href="http://flevy.com/pro/library/frameworks">consulting frameworks</a> and <a href="http://flevy.com/pro/library/consulting">consulting training guides</a> from the <a href="http://flevy.com/pro/library">FlevyPro library</a>.</p></div>Do You Know How to Transform Your Organization into a Learning Organization?https://globalriskcommunity.com/profiles/blogs/do-you-know-how-to-transform-your-organization-into-a-learning2019-06-13T19:25:51.000Z2019-06-13T19:25:51.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><img src="https://media.licdn.com/dms/image/C4E12AQGUHGSZFjsW9g/article-cover_image-shrink_720_1280/0?e=1565827200&v=beta&t=hGbxR7ReCncyIhWsY41RvJ4OKVsJRJgFHjDrauWlKfY" alt="0?e=1565827200&v=beta&t=hGbxR7ReCncyIhWsY41RvJ4OKVsJRJgFHjDrauWlKfY" /></p><p>In this era of rapid change only organizations that are evolving and continuously learning can flourish. Successful organizations discover how to tap their people’s commitment and capacity to learn at all levels.</p><p>A <a href="https://flevy.com/browse/flevypro/learning-organization-primer-3829" target="_blank">Learning Organization</a> is a place where people continually expand their capacity to create the results they truly desire, where new ideas and thinking are nurtured, and where people are continually learning to see the whole together. A Learning Organization is established on the principles of innovation, free flow of ideas, and a consistent focus on transforming the ways of doing business.</p><p>Learning Organizations adopt 5 distinct practices to succeed, which form the “building blocks” of such organizations:</p><ul><li>Systematic Problem Solving</li><li>Experimentation</li><li>Learning from Experience</li><li>Learning from Others</li><li>Knowledge Transfer</li></ul><p><a href="https://flevy.com/browse/flevypro/learning-organization-primer-3829" target="_blank">Five key characteristics distinguish a Learning Organization</a> from the rest. These attributes serve as the guiding principles and practices that these organizations study and integrate into their DNA. A blend of these core characteristics helps organizations adopt a more interconnected way of thinking:</p><ol><li><strong>Systems Thinking</strong></li><li><strong>Personal Mastery</strong></li><li><strong>Mental Models</strong></li><li><strong>Shared Vision</strong></li><li><strong>Team Learning</strong></li></ol><div class="slate-resizable-image-embed slate-image-embed__resize-full-width"><a href="http://flevy.com/browse/flevypro/learning-organization-primer-3829" target="_blank"><img src="https://media.licdn.com/dms/image/C4E12AQGARvoOh8bLUg/article-inline_image-shrink_1000_1488/0?e=1565827200&v=beta&t=ZQ3L393IaB5Yw_p8lrgUO1LTwID_Zo_nEVD6iKxlCQY" alt="No alt text provided for this image" /></a></div><p>By adopting and mastering these core characteristics organizations become communities that employees can commit to. Let's, now, discuss the first 3 characteristics in detail.</p><h3><strong>Systems Thinking</strong></h3><p>Systems thinking allows people to study businesses as bounded objects. Learning Organizations possess information systems to assess the performance of the organization and its components as a whole. Systems thinking states that all the characteristics must be present together in an organization for it to be a Learning Organization. However, some experts consider that the characteristics of a Learning Organization are gradually acquired, rather than developed simultaneously.</p><h3><strong>Personal Mastery</strong></h3><p>Personal mastery is an individual’s commitment to learning. It is about becoming more productive by applying skills to work in the most constructive manner. It involves clarification of focus, vision, and to interpret reality objectively. Training, development, and continuous self-improvement are the sources of individual learning.</p><h3><strong>Mental Models</strong></h3><p><a href="https://fs.blog/mental-models/" target="_blank">Mental models</a> include assumptions and generalizations retained by individuals and organizations, which go undetected, as mental models limit peoples’ observations. Learning Organizations need to identify and challenge these models. For a learning environment it is important to replace confrontational attitudes with an open culture that promotes inquiry and trust, introduce mechanisms for uncovering and assessing organizational theories of action, and discard any unwanted values.</p><h3><strong>Role of Leadership</strong></h3><p>Productivity and competitiveness relies on knowledge generation and processing. Therefore, organizations not only have to invest in new machinery and systems to improve production, but also focus on knowledge generation and learning of their people. Learning Organizations require a new view of leadership. Leaders in Learning Organizations create workplaces that help people keep building their capabilities to understand complexity, clarify vision, and improve shared mental models.</p><p><a href="https://mitsloan.mit.edu/faculty/directory/peter-m-senge" target="_blank">Peter Senge</a> describes the 3 key qualities of leaders to be critical in leading the Learning Organization:</p><ol><li><strong>Designer</strong></li><li><strong>Steward</strong></li><li><strong>Teacher</strong></li></ol><h3><strong>Designer</strong></h3><p>The key roles of a leader as a designer in Learning Organizations is designing the policies, strategies, and systems. The designer also outlines the governing ideas—the purpose, vision, and core values—for the people. They plan and develop the learning processes whereby people throughout the organization can deal productively with the critical issues they face, and cultivate personal mastery of the team members in the desired learning disciplines.</p><h3><strong>Steward</strong></h3><p>According to Peter Senge, the notion of management in this modern age should be replaced by “stewardship”—whereby control and consistency should be swapped with partnership and choice. The leader as a steward tells ‘purpose stories’ about their organization and relate those stories. They explain the reasons of the tasks that are required to be performed, the need for the organization to evolve, and the purpose of evolution. They learn to listen to other people, involve them, and develop vision—both individual and shared.</p><p>Interested in learning more about the key attributes of leaders and core characteristics of a <a href="https://flevy.com/browse/flevypro/learning-organization-primer-3829" target="_blank">Learning Organization</a>? You can download <a href="https://flevy.com/browse/flevypro/learning-organization-primer-3829" target="_blank"><u>an editable PowerPoint on </u><strong><u>Learning Organization Primer</u></strong><u> here</u></a> on the <a href="https://flevy.com/browse" target="_blank">Flevy documents marketplace</a>.</p><h3><strong>Are you a Management Consultant?</strong></h3><p>You can download this and hundreds of other <a href="http://flevy.com/pro/library/frameworks" target="_blank">consulting frameworks</a> and <a href="http://flevy.com/pro/library/consulting" target="_blank">consulting training guides</a> from the <a href="http://flevy.com/pro/library" target="_blank">FlevyPro library</a>.</p></div>The 5 Building Blocks to Creating a Learning Organizationhttps://globalriskcommunity.com/profiles/blogs/the-5-building-blocks-to-creating-a-learning-organization2019-06-08T11:53:18.000Z2019-06-08T11:53:18.000ZMark Bridgeshttps://globalriskcommunity.com/members/MarkBridges<div><p><img src="{{#staticFileLink}}8028296891,original{{/staticFileLink}}" alt="8028296891?profile=original" /></p><p>Organizations need to persistently improve the way they do business to stay ahead of the curve. New ideas trigger organizational improvement and build the foundation of a Learning Organization.</p><p>Scholars have defined a <a href="https://flevy.com/browse/flevypro/learning-organization-5-building-blocks-3827" target="_blank">Learning Organization</a> in many different ways. Some suggest it as an organization skilled at creating, acquiring, and transferring knowledge, and at modifying its behavior to reflect new knowledge and insights. Marlene Fiol and Marjorie A. Lyles describe <a href="https://en.wikipedia.org/wiki/Organizational_learning" target="_blank">organizational learning</a> as “the process of improving actions through better knowledge and understanding.” Barbara Levitt and James G. March define organizations as "Learning Organizations when they encode inferences from history into routines that guide behavior. Chris Argyris categorizes organizational learning as “a process of detecting and correcting error.” According to Peter Senge, “a Learning Organization is a group of people working together collectively to enhance their capacities to create results they care about.”</p><p>Being a Learning Organization offers several advantages. A perpetual influx of insights and new experience keeps the organization dynamic and ready for transformation; assists in better management of investments, improves efficiency; and helps in developing cost leadership and differentiation strategies. Learning Organizations tend to be more innovative by encouraging people to learn, develop, and by generating a more innovative environment. Shared learning builds the corporate image of the organization and increases the pace of change within the organization. Learning Organizations provide their people the ability to think insightfully about complex problems, take coordinated action, improve decision making, and instill a sense of community in them.</p><p>Despite efforts to improve continuously and creating new knowledge, organizations cannot simply become Learning Organizations. They employ various approaches but what they actually need is to become proficient in translating new knowledge into new ways of doing things, and actively managing the learning process so that it gets ingrained into the organizational culture.</p><p>Becoming a Learning Organization necessitates mastering 5 key activities. These 5 activities form the <a href="https://flevy.com/browse/flevypro/learning-organization-5-building-blocks-3827" target="_blank">building blocks of a Learning Organization</a> and should be integrated into the organizational core to transform your company into a Learning Organization.</p><ol><li><strong>Systematic Problem Solving</strong></li><li><strong>Experimentation</strong></li><li><strong>Learning from Experience</strong></li><li><strong>Learning from Others</strong></li><li><strong>Knowledge Transfer</strong></li></ol><div class="slate-resizable-image-embed slate-image-embed__resize-full-width"><img src="https://media.licdn.com/dms/image/C4E12AQHfqTx8YarMow/article-inline_image-shrink_1000_1488/0?e=1565222400&v=beta&t=k9bNfOaQrzGicarnmLbyZjAywugiDhE3GXjTFrI2ZN4" alt="No alt text provided for this image" /></div><p>Applying these practices to some degree or in isolated cases isn’t enough. To ensure continued success, these practices should be complemented by distinct mindsets, support systems, and processes.</p><p>Let’s now discuss the first 3 building blocks in detail.</p><h3><strong>1. Systematic Problem Solving</strong></h3><p>Systematic problem solving is based on scientific methods for diagnosing problems, e.g., the Plan, Do, Check, Act (PDCA) cycle or “hypothesis-generating, hypothesis-testing.” The technique employs fact-based management, relying on concrete data instead of assumptions for making decisions and utilizes statistical tools—such as Pareto charts, histograms, correlation, and cause and effect diagrams—to consolidate data and draw conclusions.</p><p>For a real Learning Organization, people need to become more disciplined, pay more attention to detail, assess underlying causes, and analyze data before reaching decisions.</p><h3><strong>2. Experimentation</strong></h3><p>Experimentation involves systematic exploration and testing of new knowledge. Experimentation has 2 fundamental configurations; both forms transfer knowledge and yield new insights, capabilities, tools, techniques, and processes:</p><ol><li>Ongoing programs</li><li>Demonstration Projects</li></ol><h3><strong>Ongoing Programs</strong></h3><p>Ongoing programs entails a chain of small experiments aimed at yielding incremental gains in knowledge. These programs maintain a steady flow of new ideas by sending workforce on sabbaticals at different places to learn new work practices and tools from industry and academia, and applying that knowledge to their daily routines. Such programs foster risk taking and a feeling of “benefits of experimentation far outweigh the costs.”</p><h3><strong>Demonstration Projects</strong></h3><p>Demonstration projects are one of a kind, large-scale initiatives that include holistic system-wide transformation targeted at a single site. These projects are executed with a goal of developing new organizational capabilities using a “clean slate” approach.</p><p>Self-managing, multi-departmental teams; high level of employee autonomy; considerable “learning by doing;” course corrections; implicit policy guidelines, precedents, and decision rules are the key characteristics of demonstration projects.</p><h3><strong>3. Learning from Experience</strong></h3><p>Learning Organizations gain valuable knowledge from their past experiences, by doing an exhaustive and systematic appraisal of past successes and failures. However, not too many managers pay attention to past experiences or reflect on those, eventually losing valuable insights. To inculcate a culture of learning, lessons learned should be recorded and made readily accessible to all employees.</p><p>A handful of companies have laid out processes for their managers to contemplate on their past actions and incorporate those in their learning. At the core of this approach lies the belief that distinguishes productive failure from unproductive success. Productive failure delivers knowledge and understanding whereas unproductive success goes unnoticed where nobody knows what went well and why. Learning from experience approach isn’t that expensive—case studies and project reviews can be compiled with little cost.</p><p>Interested in learning more about the <a href="https://flevy.com/browse/flevypro/learning-organization-5-building-blocks-3827" target="_blank">building blocks of a Learning Organization</a>? You can download <a href="https://flevy.com/browse/flevypro/learning-organization-5-building-blocks-3827" target="_blank"><u>an editable PowerPoint on </u><strong><u>Learning Organization: 5 Building Blocks</u></strong><u> here</u></a> on the <a href="https://flevy.com/browse" target="_blank">Flevy documents marketplace</a>.</p><h3><strong>Are you a Management Consultant?</strong></h3><p>You can download this and hundreds of other <a href="http://flevy.com/pro/library/frameworks" target="_blank">consulting frameworks</a> and <a href="http://flevy.com/pro/library/consulting" target="_blank">consulting training guides</a> from the <a href="http://flevy.com/pro/library" target="_blank">FlevyPro library</a>.</p></div>marcus evans to Host the Innovation in Insurance Pricing Conference on May 23-24, 2018 in New Yorkhttps://globalriskcommunity.com/profiles/blogs/marcus-evans-to-host-the-innovation-in-insurance-pricing2018-03-13T19:39:26.000Z2018-03-13T19:39:26.000ZAmanda Pinkhttps://globalriskcommunity.com/members/AmandaPink<div><p><strong>marcus evans</strong> will host the <strong>Innovation in Insurance Pricing Conference on May 23-24, 2018 in New York.</strong> This conference will give insurance firms a critical insight and the practical expertise to innovate their pricing techniques within their personal lines. Delegates will understand how to enhance their data analytics and leverage big data to augment the quality and efficiency of current pricing strategies, in order to out price their competitors. You will develop your strategy to align insurance pricing innovations with regulatory requirements to ensure compliance for your firm.</p><p></p><p><strong>Learn From Key Practical Case Studies:</strong></p><ul><li><strong>Economical Insurance</strong>will maximize data quality to ensure accurate pricing</li><li><strong>Blue Cross and Blue Shield of Illinois</strong> will assess strategies to ensure the seamless integration of machine learning into your firm</li><li><strong>TD Insurance</strong> will optimize the calculation of the client level price to ensure your firm achieves the optimum profit margin</li><li><strong>Combined Insurance</strong> will evaluate the best method of developing customer friendly products at a competitive price</li><li><strong>AIG</strong> will integrate big data to accelerate the achievement of your business goals</li></ul><p> </p><p><strong>Key Speakers Include:</strong></p><ul><li>Daniel Blau, Head of Personal Lines Pricing, <strong>The Main Street America Group</strong></li><li>Imir Arifi, Head of Artificial Intelligence & Machine Learning, <strong>Blue Cross & Blue Shield of Illinois</strong></li><li>Larry Doyle, Global Personal Insurance Operations Executive, <strong>AIG</strong></li><li>Alex Faynberg, Senior Vice President, Chief Actuary, <strong>Combined Insurance</strong></li><li>Christopher Cooney, Vice President, Pricing, <strong>TD Insurance </strong></li></ul><p><strong> </strong></p><p>For more information, please visit: <a href="http://bit.ly/2Hv1Vqs">http://bit.ly/2Hv1Vqs</a> or you can contact Amanda Pink at apink@global-fmi.com.</p><p> </p><p><strong><em>marcus evans</em></strong> <em>conferences annually produce over 2,000 high quality events designed to provide key strategic business information, best practice and networking opportunities for senior industry decision-makers.</em></p><p><em> </em></p></div>10 Must-have’s from 2016’s Online Learning Studentshttps://globalriskcommunity.com/profiles/blogs/10-must-have-s-from-2016-s-online-learning-students2016-02-03T02:34:33.000Z2016-02-03T02:34:33.000ZEnrique Raul Suarezhttps://globalriskcommunity.com/members/EnriqueRaulSuarez<div><p></p><p><a href="{{#staticFileLink}}8028242660,original{{/staticFileLink}}"></a></p><p><a href="{{#staticFileLink}}8028242660,original{{/staticFileLink}}"><img width="350" class="align-center" src="{{#staticFileLink}}8028242660,original{{/staticFileLink}}" alt="8028242660?profile=original" /></a></p><p></p><p></p><h2 class="center" style="text-align:center;"><strong>10 Must-have’s from 2016’s Online Learning Students</strong></h2><p style="text-align:center;"> </p><p class="center" style="text-align:center;"><span class="font-size-3"><strong>Source:</strong></span></p><p class="center" style="text-align:center;"></p><p class="center" style="text-align:center;"><span class="font-size-3"><strong>eCampusNews</strong></span></p><p class="center" style="text-align:center;"></p><p><strong>Large-scale survey recognizes often-contradictory demands from students; offers recommendations for programs.</strong></p><p>Higher ed online learning students expect a lot from their programs; but with every student’s unique expectations and desires, how can institutions not only rise above the competition, but offer the best online learning options for their students?</p><p>Those are the questions a joint survey–conducted by Learning House and Aslanian Market Research of 1,500 individuals part of higher ed online learning programs nationwide–aimed to answer in its fourth annual survey.</p><p>Every year, these organizations conduct a survey of students at least 18 years old; have a minimum of a high school degree; and were recently enrolled, currently enrolled, or planning to enroll in the next 12 months in either a fully online undergraduate or graduate degree program or a fully online certificate or licensure program. (To access the 2012, 2013, and 2014 reports, click here.)</p><p>The report summarizes the trends in the online student experience, from recruitment to graduation, and aims to provide insights on how to attract and serve these students.</p><p>“The patterns and preferences of the sample of individual interviews are reflective of online students as a whole, and the data reflect a national template of the behavior and preferences of these students,” notes the report. “College and university leaders can use this information to attract and serve this growing population. Individual institutions should also consider regional data and their positioning in the local marketplace.”</p><p></p><p>See the rest of the article in the link below:</p><h2><strong>10 Must-have’s from 2016’s Online Learning Students</strong></h2><p></p><p><strong><a href="http://www.ecampusnews.com/top-news/students-online-learning-277/?" target="_blank">10 Must Have</a></strong></p><p></p><p></p></div>The State of Education in the United States: Cornerstones for a More Effective Educationhttps://globalriskcommunity.com/profiles/blogs/the-state-of-education-in-the-united-states-cornerstones-for-a2015-05-29T14:58:36.000Z2015-05-29T14:58:36.000ZEnrique Raul Suarezhttps://globalriskcommunity.com/members/EnriqueRaulSuarez<div><p><a href="{{#staticFileLink}}8028233871,original{{/staticFileLink}}"><img width="480" height="286" class="align-center" style="width:204px;height:137px;" src="{{#staticFileLink}}8028233871,original{{/staticFileLink}}" alt="8028233871?profile=original" /></a></p><h3 class="center" style="text-align:center;"><strong>Enrique Suarez</strong></h3><p></p><p class="center" style="text-align:center;"><strong>The State of Education in the United States: Cornerstones for a More Effective Education</strong></p><p class="center" style="text-align:center;"></p><p class="center" style="text-align:center;">Source:</p><p class="center" style="text-align:center;"></p><p class="center" style="text-align:center;">MIT Professor Jay Wright Forrester’s Work on System Dynamics</p><p class="center" style="text-align:center;"></p><p>During the last twenty years, Jay Forrester's attention has been focused primarily in two areas: 1) the creation of a system dynamics model of the United States economy, and 2) the extension of system dynamics training to kindergarten through high school education. Forrester sees the former project as leading to a new approach to economic science and a fundamental understanding of the way macroeconomic systems work. He views the latter project as crucial, not only for the future health of the field of system dynamics, but also for the future health of human society.</p><p></p><p>Although Forrester's national economic model remains unfinished, early and intermediate results have been published<a href="http://www.systemdynamics.org/DL-IntroSysDyn/orig-n10.htm"></a>. The most noteworthy of the results is that the model generates a forty- to sixty-year economic cycle or "long wave" that not only explains the Great Depression of the 1930s, but also shows that deep economic slumps are a repetitive feature of capitalist economies. At the time of this writing, Forrester's model shows that the United States economy is just beginning to rise out of the trough of the latest long wave downturn.</p><p></p><p>Forrester's efforts to extend system dynamics to K-12 education have, in a sense, taken him full circle, as the story begins with his original MIT mentor Gordon Brown. Brown retired from MIT in 1973 and began wintering in Tucson, Arizona. During the late 1980s, Brown introduced system dynamics to teachers in the Tucson school system. The results were remarkable. System dynamics spread, not only through the original junior high in which it was introduced, but through the entire school district. Subjects as diverse as Shakespeare, economics, and physics are today taught in the school district, wholly or in part, via system dynamics. Moreover, the district itself is using system dynamics in an effort to become a <em>learning organization<a href="http://www.systemdynamics.org/DL-IntroSysDyn/orig-n11.htm"></a></em>.</p><p></p><p>The future of system dynamics in K-12 education appears promising. Today, an international clearinghouse for K-12 system dynamics materials exists and Internet and World Wide Web sites have been created to disseminate information<a href="http://www.systemdynamics.org/DL-IntroSysDyn/orig-n12.htm"></a>. Numerous K-12 teachers, in the United States and abroad, have begun to integrate system dynamics into their classes, and attend international conferences on the subject. All of these developments suggest that the corporate and public sector decision makers of the future may well begin to view the problems they face through the lens of system dynamics<a href="http://www.systemdynamics.org/DL-IntroSysDyn/orig-n13.htm"></a>.</p><p></p><p>You can access to the full PowerPoint presentation in the following link:</p><p></p><p><a href="{{#staticFileLink}}8028234266,original{{/staticFileLink}}">StateofEducation.ppt</a></p><p></p><p></p></div>