Blog

Accelerated pace of technological disruption has forced organizations to change.  It has triggered leaders to think of the ways they must adopt to survive in these challenging times.

Organizations are confronting this scenario by embracing digital technologies.  Traditionally, the focus of the organizations in these Transformation initiatives has remained on speed of change.  To get the most out of their initiatives, they are making drastic changes, to include:

• Creating Agile Teams
• Introducing Mobi

This is a transcription of our interview with Terisa Roberts, Director and Global Solution lead for Risk Modeling and Decisioning at SAS about the role of AI/ML in Risk Management.

You can watch the original video interview here or tune in to this episode on our Risk Management Show podcast here https://globalriskcommunity.libsyn.com/terisa or via iTunes, Spotify and other podcast apps by searching "Risk Management Show"

Boris: Welcome to our interview with Terisa Roberts. She is a Director and

This is a transcription of our interview with David Asermely, Global Lead - Model Risk Management at SAS.

You can watch the full video interview here. Make sure to subscribe to our Risk Management Show via iTunes, Spotify or other major podcast apps. Just search using the keyword "Risk Management Show" inside your favorite app so that when interviews will start rolling in, you receive your notifications or podcast will download straight to your phone.

Boris: Welcome to our Interview with David

Connected Device Analytics is highly valuable in the present scenario. Let’s see why these devices are making trends in the industry. There is amplified adoption of these tools in various sectors due to increased penetration of the internet and rise in the adoption of the Internet of Things (IoT), a rise in the adoption of advanced technologies for payment, and an increase in the need for digital infrastructure. Also, factors such as new software approval, training, and knowledge transfer, and i

Connected Claims USA has officially launched as the first fully virtual claims event and remains the world’s largest and most senior claims event (June 23-25, 2020).

As uncertainty becomes the new normal, it has never been more important for the insurance industry to pull together to support customers and claims handlers alike through this difficult time. Claims transformation is more urgently needed than ever before.

"It’s true that we’re in a period of disruption, but from disruption, I believe,

This is a transcript of our interview with David Rogers, Global Product Marketing at SAS

You can watch the original video interview here

Boris: Hello ladies and gentlemen and welcome to our interview with David Rogers. David is a Global Product Marketing Manager covering risk management solutions and technology delivered to financial services, energy and utilities verticals for SAS. SAS is the leading global analytics company with 40 years of experience spread across all key sectors such as hea

As the foundation of all marketing operations, customer analytics includes methods such as statistical modeling, data processing, information management, and segmentation. In today's ultra-competitive industry, all corporate executives need to base their decisions on sound research, evidence, and information.

Therefore, any choice they make will be focused on rational decisions and will be more likely to help them prosper and survive. Top executives, product managers, and customer analytics manag

Even before Covid-19 began its global march, the insurance industry was gearing up for profound change. But as the events of 2020 continue to evolve, there is growing sense of urgency for carriers to accelerate delivery of spot-on solutions for their customers.

To navigate this new era, Reuters Events is launching Insurance AI and Innovative Tech Virtual (May 27-28).

Across all corners of insurance, longer-term goals now require immediate action, and a strategic push to embrace digitalisation like

The rapid growth in the usage of smartphones and other connected mobile devices has caused a spurt in the amount of data that flows through telecom operator networks. The operators must process, store, and extract information from the available data. By helping to optimize network use and services, improve customer experience, and improve security, Big Data analytics will help them increase productivity.

Research has shown that telecom companies have significant potential to benefit from Big Data

Enterprises invest in Analytics to improve Decision Making and outcomes across the business. This is from Product Strategy and Innovation to Supply Chain Management, Customer Experience, and Risk Management. Yet, many executives are not yet seeing the results of their Analytics initiatives and investments.

Every organization putting on investment in Analytics has experienced several stumbling blocks. This differentiates the leaders from the laggards. Analytics-driven Organizations have clearly es

Business dashboards are important tools to measure key performance indicators and data pertaining to an organization or certain procedure.  Just as a vehicle dashboard is powerful performance management tool in summarizing a performance of a multitude of processes, a business dashboard summarizes the performance or impact of a host of functions, teams, and activities; and assists in Strategic Planning and decision making.

Business dashboards simplify sharing and analysis of large data, and help

Companies often know where they want to go when it comes to Strategy Development. Companies want to be more agile, quicker to react, and more effective. They want to deliver great customer experience, take advantage of new technologies to cut costs, improve quality and transparency, and build value.

Yet, while most companies are trying to get better, the results tend to fall short. One-off initiatives in separate units do not deliver big enterprise-wide impact. Improvement methods that were adopt

Sports associations have a broader range of information on concussions and thus, physicians of the sports world can now improve care facilities for players. This is where sports analytics comes in handy, especially in soccer, which is one of the most popular sports played worldwide.

As the number one sport in the world, this game is exceptional in its ability to reinforce initiatives that can enrich the lives of young people all over the world. Sporting games yield huge amounts of data. Advanced

For insurance carriers, automation can be a dangerous game as customers demand both a frictionless, automated claims process and access to understanding claims handlers. How do you find the right balance?

With chatbots at FNOL, image analytics estimating damage more accurately than any human, and complex claims being fast-tracked to claims adjusters, virtual claims handling delivers the efficiency that customers expect with the empathy customers need. Join our panel of experts as they share insig

With 90% of carriers actively investing in new data projects, project failure is not an option.

Artificial intelligence (AI) and machine learning (ML) have become mainstays in the insurance industry, equipping insurance companies with tools that can help them to become more efficient and profitable than ever before. But with the stakes so high, carrier executives are immobilized - the volume of cutting-edge data sources has exploded and the vast majority won’t implement a project if they’re not

Creating a culture that measures productivity objectively is a sensitive matter. Key Performance Indicators (KPIs) are being employed extensively by organizations across the globe to monitor and track performance.  KPIs provide valuable metadata to improve top-down and bottom-up vertical efficiency.

Analytics-driven firms are aware that KPIs are much more than a tool to evaluate performance.  Utilizing KPIs, they gather valuable insights, create enterprise-wide accountability, and develop a goal-

The insurance industry is facing the challenges of disruption caused by the technological advancements in artificial intelligence (AI) and machine learning (ML). Insurance carriers are now able to know more about their customers than ever before. They can use data mining with AI and ML to develop compelling product offerings. Customers may enjoy a more personalized experience that has faster and more accurate claims processing capabilities resulting in vastly improved customer service.

Is your o

As customer expectations have risen thanks to new platforms and products, so too has the level of technological sophistication as artificial intelligence, chatbots, drones, telematics and apps have become common in multiple industries. The insurance industry is now at a critical juncture as carriers seek to transform their claims processes, using new technologies to meet rising customer expectations and reduce costs. According to a recent survey, over 70% of insurance carriers are looking to inv

As insurance carriers look to technology to meet customer demands at scale, how carriers react to competition and rising customer expectations today will define their success tomorrow. From providing bespoke products, instant customer service and real-time risk monitoring, the likes of AI, machine learning and other innovative technologies are proving the only means through which insurance carriers can meet the high demands of consumers today.

Likewise, managing the backend requirements of the te

In an age where customers are demanding their Insurance Carrier be more like Amazon or PayPal with a smooth, touchless customer experience, Insurance Carriers face multiple obstacles to satisfying this demand. Chief among them is the overwhelming multitude of technologies available to reach that touchless claims goal.

77% of insurance carriers will invest in automation in the next few years to achieve seamless claims. The incredible potential to leverage technology stretches across the claims la