ai - Events - Global Risk Community2024-03-28T22:32:19Zhttps://globalriskcommunity.com/events/feed/tag/ai2nd Annual Development, Implementation and Management of ML Modelshttps://globalriskcommunity.com/events/2nd-annual-development-implementation-and-management-of-ml-models2024-04-22T04:00:00.000Z2024-04-22T04:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-04-22">Apr 22, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-04-24">Apr 24, 2024</a></p><p>Location: New York, NY</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12367254258?profile=RESIZE_400x&width=400"></div><div><p><em>Adjust your development and management of ML models practices to mitigate emerging risks, ensure regulatory compliance and stay competitive in the era of generative AI</em></p><p>The GFMI <a href="https://www.marcusevans.com/conferences/mlmodeldevelopment?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cmu342+-+grc&utm_id=cmu342">2<sup>nd</sup> Annual Development, Implementation and Management of ML Models</a> conference taking place on April 22-24, 2024 in New York, will showcase best practices for developing and managing Machine Learning (ML) models to maximize business value. The event will present best use cases of Natural Language Processing (NLP) and technologies that harness the potential of ChatGPT and generative AI. It will also assess the lessons learned by financial institutions that have successfully implemented these technologies, achieving a high ROI.</p><p><strong>Attending This Premier marcus evans Conference Will Enable You to:</strong></p><ul><li><strong>Harness</strong> the potential of ChatGPT to maximize business value.</li><li><strong>Assess</strong> the best use cases of NLP technologies to extract valuable insights from unstructured financial data.</li><li><strong>Gain</strong> the update from the Regulators to ensure compliance of ML Model development, implementation and management practice.</li><li><strong>Combine</strong> traditional and alternative data sets for the best business decisions.</li><li><strong>Address</strong> data bias and fairness challenges in ML Models through proactive approaches.</li><li><strong>Advance</strong> current model risk frameworks to accommodate ML models and minimize their risk.</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>Wayne B. Shoumaker</strong>, SVP, Quantitative Analytics Manager, Model Risk Management, <strong>Wells Fargo</strong></li><li><strong>Hua Julia Li</strong>, Senior Vice President, Global Head of Model Risk Management,<strong> State Street</strong></li><li><strong>Harikrishna Mallepalli</strong>, Senior Vice President, <strong>Citi</strong></li><li><strong>Xiaoling (Sean) Yu</strong>, Head of Financial Crimes Modeling & Analytics,<strong> KeyBank</strong></li><li><strong>Imir Arifi</strong>, Head of Methodologies & Models in the Americas, <strong>UBS</strong></li><li><strong>Carlos Rodriguez</strong>, Director - Model Validation, AI & ML,<strong> Ally</strong></li></ul><p>For more information please contact Ria Kiayia, Digital Media and PR Marketing Executive at <u><a href="mailto:riak@global-fmi.com">riak@global-fmi.com</a></u> or visit the event website: <a href="https://bit.ly/3Q7AvwV">https://bit.ly/3Q7AvwV</a></p></div>6th Annual Model Risk Management for Financial Institutionshttps://globalriskcommunity.com/events/6th-annual-model-risk-management-for-financial-institutions2024-05-21T22:00:00.000Z2024-05-21T22:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-05-22">May 22, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-05-24">May 24, 2024</a></p><p>Location: Frankfurt, Germany</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12300427901?profile=RESIZE_400x&width=400"></div><div><p>The <strong>marcus evans</strong> <a href="https://www.marcusevans.com/conferences/modelrisk?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cm515+-+grc&utm_id=cm515">6<sup>th</sup> Annual Model Risk Management for Financial Institutions</a> conference taking place on 22-24 May, 2024 in Frankfurt, Germany will enable you to discover new strategies for effective model validation, and monitoring in the era of Artificial Intelligence (AI) and machine learning. Moreover, you will be able to engage with industry leaders to understand the complexities of non-credit model handling and the necessary skill sets for today's evolving risk environment. Finally, you will delve into discussions on integrating advanced models within regulatory frameworks and learn how to navigate the ethical considerations and risks associated with these technologies. </p><p><strong>Key Topics include:</strong> </p><ul><li><strong>Decoding</strong> <strong>PRA SS1/23:</strong> Navigate through evolving regulatory challenges</li><li><strong>AI model validation in dynamic environments:</strong> How to adapt to continuous learning</li><li><strong>Breaking</strong> <strong>new ground:</strong> The validation challenges of NLP and LLM in finance</li><li><strong>Refining</strong> ESG model validation: Navigating data intelligence challenges</li><li><strong>Integrate</strong> internal audits in model lifecycle management</li><li><strong>Enhance</strong> governance through effective model inventory</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>Catarina Souza</strong>, Head of Model Development and Review Division, <strong>PRA - Bank of England</strong></li><li><strong>Kirsty Cartwright, </strong>Head of Model Risk Governance, <strong>Natwest Group</strong></li><li><strong>Darius Grinvaldas</strong>, Head of Risk Analytics, <strong>Luminor Group</strong></li><li><strong>Shailesh Pillay</strong>, Group Head of Model Risk Management, <strong>FirstRand</strong></li><li><strong>Eric Peter</strong>, Head of Group model’s audit, <strong>Société Générale</strong></li><li><strong>Jens Jakob Baltzer Rasmussen</strong>, Head of Model Risk Management, <strong>Rabobank</strong></li></ul><p>For more information please contact Ria Kiayia, Digital Media and PR Marketing Executive at <a href="mailto:riak@marcusevanscy.com">riak@marcusevanscy.com</a> or visit: <a href="https://bit.ly/4867F6z">https://bit.ly/4867F6z</a></p></div>Machine Learning in Quantitative Financehttps://globalriskcommunity.com/events/machine-learning-in-quantitative-finance2024-06-04T22:00:00.000Z2024-06-04T22:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-06-05">Jun 5, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-06-07">Jun 7, 2024</a></p><p>Location: Amsterdam, the Netherlands</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12399908066?profile=RESIZE_400x&width=400"></div><div><p>The <strong>marcus evans</strong> <a href="https://www.marcusevans.com/conferences/mlquantitativefinance?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cm519+-+grc&utm_id=cm519">Machine Learning in Quantitative Finance</a> conference taking place on 5-7 June, 2024 in Amsterdam, the Netherlands will enable you to discover new strategies for effective model validation, and monitoring in the era of Artificial Intelligence (AI) and machine learning. Moreover, you will be able to engage with industry leaders to understand the complexities of non-credit model handling and the necessary skill sets for today's evolving risk environment. Finally, you will delve into discussions on integrating advanced models within regulatory frameworks and learn how to navigate the ethical considerations and risks associated with these technologies. </p><p><strong>Key Topics include:</strong></p><ul><li>Promising visions of <strong>AI </strong>in Quant Finance.</li><li><strong>Overcome</strong> limitations of ML and hinderances to the speed of adoption.</li><li><strong>Alternative data</strong> – is it at the stage of making money?</li><li>Anticipate the rise of <strong>LLMs/NLP</strong> in Quant Finance.</li><li><strong>Personalise Machine Learning</strong> to improve customer experience, revenue, and next action calculations.</li><li><strong>Seamless integration</strong> of ethical investing and ESG with use of ML.</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>Thomas Raffinot</strong>, Head of Quant Investment Signals, <strong>AXA</strong></li><li><strong>Roberto Bartolomei, </strong>Head of Alternative and Quantitative Investment Solutions<strong>,</strong> <strong>BNP Paribas</strong></li><li><strong>Nicole Königstein</strong>, Chief Data Scientist and Head of AI & Quantitative Research, <strong>Wyden Capital AG</strong></li><li><strong>Karim Jadallah</strong>, Senior Managing Quant Consultant, <strong>UBS</strong></li><li><strong>Sebastian Schneider</strong>, Quantitative Equity Researcher, <strong>Robeco</strong></li><li><strong>Alejandro Rodriguez Dominguez</strong>, Head of Quantitative Analysis, <strong>Miralta Bank</strong></li></ul><p>For more information please contact Ria Kiayia at <a href="mailto:riak@marcusevanscy.com">riak@marcusevanscy.com</a> or visit: <a href="https://bit.ly/4cpcCu6">https://bit.ly/4cpcCu6</a></p></div>24th Edition Model Riskhttps://globalriskcommunity.com/events/24th-edition-model-risk2024-06-24T04:00:00.000Z2024-06-24T04:00:00.000ZRia Kiayiahttps://globalriskcommunity.com/members/RiaKiayia<p><a href="https://globalriskcommunity.com/events/list/on/2024-06-24">Jun 24, 2024</a> to <a href="https://globalriskcommunity.com/events/list/on/2024-06-25">Jun 25, 2024</a></p><p>Location: Boston, MA</p><p>Created by: <a href='/members/RiaKiayia'>Ria Kiayia</a></p><div><img src="https://storage.ning.com/topology/rest/1.0/file/get/12400206493?profile=RESIZE_400x&width=400"></div><div><p>The <strong>marcus evans</strong> <a href="https://www.marcusevans.com/conferences/model-risk?utm_source=media+partner&utm_medium=grc+event+listing&utm_campaign=cmu357+-+grc&utm_id=cmu357">24th Edition Model Risk</a> conference taking place on 24-25 June, 2024 in Boston, MA will enable attendees to delve deep into the integration and governance of AI and machine learning models, uncovering both the challenges and groundbreaking opportunities they present, as well as traditional models. Explore robust solutions for efficient model documentation and reporting and gain invaluable insights on navigating the evolving regulatory environments.</p><p><strong>Key Topics include:</strong></p><ul><li><strong>Provide</strong> an update on the regulatory guidance within MRM</li><li><strong>Master</strong> third party model management, validation and audit</li><li><strong>Breaking new ground:</strong> The validation challenges of NLP and LLM in finance</li><li><strong>Build</strong> solid governance uniting diverse expertise across the MRM function</li><li><strong>Unravel</strong> the model definition puzzle from an insurance perspective</li><li><strong>Climate risk</strong> and ESG model validation: emerging regulatory trends</li></ul><p><strong>Best Practices and Case Studies from:</strong></p><ul><li><strong>David Palmer</strong>, Senior Supervisory Analyst, <strong>Federal Reserve Board</strong></li><li><strong>Shawn Tumanov, </strong>Director, Data & Analytics (AI) Governance<strong>,</strong> <strong>BMO Financial Group</strong></li><li><strong>Aruna Joshi</strong>, Head of Model Risk Management, <strong>Visa</strong></li><li><strong>Seyhun Hepdogan</strong>, Director of Analytics, <strong>Fifth Third Bank</strong></li><li><strong>Michael Minnes</strong>, Head of Model Governance, <strong>MassMutual</strong></li><li><strong>Akshaya Nambiar</strong>, Assistant Vice President, ESG & Climate, Model Risk Management, <strong>Deutsche Bank</strong></li></ul><p>For more information please contact Ria Kiayia at <a href="mailto:riak@marcusevanscy.com">riak@marcusevanscy.com</a> or visit: <a href="https://bit.ly/3TyS372">https://bit.ly/3TyS372</a></p></div>