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2024 AI Governance Leadership Summit

This 90-minute virtual event will bring together leaders from Fortune 500 and Global 2000 companies to share insights and real-world experiences related to business innovation and AI Governance. This year's theme is Minimum Viable Governance: How to Drive Digital Transformation with Generative AI. Topics will include generative AI, scaling AI initiatives, AI Governance, regulations, and risk management. Register now.

Minimum Viable Governance - How to Drive Digital Transformation with Generative AI

Join us for the 2024 AI Governance Leadership Summit on September 25th at 12pm ET.

We know Generative AI is accelerating digital transformation, but too many enterprises currently find their AI initiatives held back by the consequences of not having proper AI governance. AI that lacks transparency and accountability contributes to significant risk across an organization. In a widely-cited interview, Accenture’s CEO stated that less than 2% of executives can identify how AI is being used in their companies and its risks.
 
With technology rapidly  evolving and new regulations being implemented around the globe, enterprise AI Investments are wasted without AI governance. It’s time for accountability. If generative AI is the driving force along the highway to digital transformation, AI governance is where the rubber meets the road. 

Join ModelOp, along with a community of business leaders in AI, innovation, risk, and security, to share insights and real-world experiences at the 2024 AI Governance Leadership Summit. Together, we’ll discover what it takes to push beyond research, experiments, and pilots, and bring generative AI to market, efficiently, ethically, and responsibly.

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Our Speakers

Bill Franks
Speaker

Bill Franks

Director of the Center for Data Science and Analytics at Kennesaw State University

Bill Franks is the Director of the Center for Data Science and Analytics at Kennesaw State University.  Franks is also the author of Winning The Room, Taming The Big Data Tidal Wave, The Analytics Revolution, and 97 Things About Ethics Everyone In Data Science Should Know. He is a sought after speaker and frequent blogger, has been ranked on multiple industry influencer lists, and was an inaugural inductee into the Analytics Hall of Fame. His work, including roles as Chief Analytics Officer for Teradata (NYSE: TDC) and the International Institute For Analytics, has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.  You can learn more at https://www.bill-franks.com.

Speaker

Senator Scott Wiener

California State Senator, District 11

Elected in November 2016 and reelected in 2020, Senator Scott Wiener represents District 11 in the California State Senate. District 11 includes all of San Francisco, Broadmoor, Colma, and Daly City, as well as portions of South San Francisco.

In the State Senate, Senator Wiener works day and night to make housing more affordable; strengthen and expand our public transportation systems; increase access to health care, including mental health and addiction treatment; ensure families have access to food, child care, paid family leave, and other critical supports; fight climate change and keep California in the lead on climate action; reform our broken criminal justice system; and safeguard and expand the rights of all communities, including immigrants and LGBTQ people.

Senator Wiener is the lead author of SB 1047: Safe and Secure Innovation for Frontier Artificial Intelligence Models Act.

Speaker

Gaia Bellone

Chief Data Scientist at Prudential Financial

Gaia Bellone is a dynamic and accomplished leader in the field of Data Science and Artificial Intelligence. In her current role at Prudential Financial, she leads Global Data and AI Governance and serves as Chief Data Officer (CDO) for Emerging Markets.

Her contributions to Prudential Financial have been significant and impactful. As the former Chief Data Scientist at Prudential, she led the Data Science team in creating innovative solutions for Digital, Marketing, Sales, and Distribution, the AI/ML Platform team, and the GenAI Enterprise Program. Her leadership and strategic vision have been instrumental in driving business growth and enhancing operational efficiency.

Prior to her tenure at Prudential, she held prominent positions at Key Bank and JPMorgan Chase. At Key Bank, she served as the Head of Data Science for the Community Bank. Her leadership and expertise in data science were crucial in optimizing the bank's operations and improving customer experience. At JPMorgan Chase, she led the data science teams for Home Lending and Auto Finance. Her strategic insights and data-driven solutions significantly improved the business performance in these sectors, contributing to the overall success of the enterprise.

Throughout her career, she has consistently demonstrated her ability to leverage data and AI to drive business growth and improve operational efficiency. Her contributions to the businesses and the enterprise have been substantial and transformative.

Speaker

Hays W. "Skip" McCormick

Chief Technology Officer at Cornerstone Technologies

Skip McCormick is a technology, data science, and intelligence leader. After serving as a member of Cornerstone Technologies’ Board of Directors for a long while, Skip McCormick recently accepted the full-time role as Chief Technology Officer and Artificial Intelligence Practice Lead, pioneering efforts to service the many advanced and complex needs of our clients. Before joining Cornerstone, Skip was a Managing Director at BNY Mellon where he built and lead BNY Mellon’s Data Science infrastructure and organization, driving the scope and impact of predictive analytics and machine learning for the firm, where he was recognized as BNY Mellon’s Innovator of the Year for this unprecedented foundational work.

Prior to BNY Mellon, Skip was privileged to serve the federal service for twenty-seven years, including seventeen at the CIA where he built and lead teams combating terrorism with game-changing big-data and supercomputing innovations at global-scales with high-consequence leveraging imperfect data, uncertain context, and critical dependencies on dynamic metadata.

Skip has an uncanny knack for seeing and solving simultaneous technical challenges before they are obvious, optimally leveraging new and emerging opportunities. He is also a respected computer science author with deep experience in unpredictable and messy data acquisition & hygiene, regulatory governance, and high-impact strategic problem solving at enterprise scales. He is an agile, resourceful, inspirational leader and team-builder.

Skip grew up in Seattle, Washington before serving in the US Navy as a Surface Warfare Officer.

Speaker

Sumalatha Bachu

Senior Director of Technology at FINRA

Sumalatha Bachu has over 23+ years of diversified technology experience. She specializes in big data operations, enterprise application monitoring solutions, automation, data analytics, and machine learning model governance and monitoring domains. In her role at FINRA, she leads multi-disciplinary teams managing market regulation batch/data operations and oversees petabyte-scale data and complex workloads in FINRA’s cloud-based big data architecture.

Sumalatha has a master’s degree in Information Technology from University of Maryland. She lives with her husband and two kids in Maryland. She is passionate, motivated and a coach combining technical acumen to provide innovative solutions.

Dave Trier photo
Speaker

Dave Trier

VP Product at ModelOp

Dave Trier is charged with defining and executing on strategy for ModelOp Center, paving the way for customers to overcome their ModelOps challenges and unlock the value of AI.

Prior to joining ModelOp, Dave held several technology and data leadership roles, VP of Advanced Analytics Services at Teradata, and Chief Technology Officer at Powered by Action. As a manager and consultant at Accenture, he led large-scale enterprise transformation projects and helped pioneer the space of ModelOps through various Accenture consultancy tools and solutions.

With over 20 years of technology and product management experience and multiple patents in his name, Dave helps ensure ModelOp continually delivers cutting edge innovation, helping enterprises implement and drive business transformation with ground-breaking technologies—from AI, big data, and cloud computing, to IoT solutions.

Dave holds a Bachelor of Science in Electrical Engineering from University of Notre Dame.

More speakers to be announced soon

Discussion Topics

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How can we effectively scale AI initiatives to realize business benefits like improved efficiency and innovation?

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What are the consequences of not doing AI Governance?

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How do we balance innovation with responsible AI practices, enduring transparency, fairness, and regulatory compliance?

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How do we prove and communicate the value of our generative AI journey to the organization?

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Focus priorities

Generative AI and scaling initiatives with AI Governance
AI Governance and regulations
Digital transformation or enterprise innovation
Managing the cultural change and cross-functional teamwork needed to govern and scale AI initiatives
Security and data privacy for AI
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Agenda

September 25th

If Generative AI is the driving force along the highway to digital transformation, AI Governance is where the rubber meets the road.

12:00 EST - Opening

12:05 EST - Keynote

Minimum Viable Governance — Bill Franks

12:20 EST - Special Message

AI Innovation and Regulations — Senator Scott Wiener

12:30 EST - Fireside Chat

AI Governance is Not Optional: Automation, protecting the business, and the keys to responsible AI — Gaia Bellone

12:50 EST - Panel Discussion

Regulations, Innovation, and Guardrails: Where to start and how to scale — Skip McCormick, Sumalatha Bachu, and Dave Trier

13:15 EST - Audience Q&A

Bill Franks, Gaia Bellone, Skip McCormick, Sumalatha Bachu, Dave Trier

13:25 EST - Closing

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