Faculty
Ed Watal
From Amazon Alexa to the Self Driving Tesla, AI has been powering our lives over the last decade. AI, with its newfound potential in large language models, has created a new baseline on what we expect from computers and digital intelligence. This generalized power is now in the hands of over 100 million people and is backed by over 180 bn dollars of capital. This may not seem like much at the Global Scale, with over 4.9 Billion Internet users and over 112 Trillion in Assets Under Management across the world.
However, given the rapid adoption of AI in the last 6 months, it is possible that we may be at the cusp of a rapid change leading us to the next epoch in computing. This master class aims to provide Board Members and C-level executives, the basic AI knowledge, lessons from AI fails and successes, and access to some of the brightest minds in the field of AI. It also will empower you with a thinking and decision framework to create shareholder value and teach you how to look for potential threats that significantly erode business value.
I welcome you to be part of this enriching journey where we will all learn from each other, share our context and experiences, and walk away richer in our ability to harness the power of AI in an ethical and responsible way that makes our world a better place.
Ed Watal
Ed Watal is an AI Thought Leader and Technology Investor. One of his key projects includes BigParser (an Ethical AI Platform and Data Commons for the World). He is also the founder of Intellibus, an INC 5000 “Top 100 Fastest Growing Software Firm” in the USA. Forbes Books is collaborating with Watal on a seminal book on our AI Future. Board Members and C-level executives at the World's Largest Financial Institutions rely on him for strategic transformational advice.
Jepson Taylor
Jepson Taylor has over 18 years of machine-learning experience. After studying chemical engineering, Taylor worked for Intel/Micron in applied semiconductor building process control and fault models.
After that, he worked as a quant at a hedge fund on a 600 GPU cluster. Taylor then joined a young Sequoia-backed HR startup called HireVue to run their data group as their Chief Data Scientist, where he delivered 14 patents in AI. In 2017 Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise.
Zeff was acquired by DataRobot in 2020 where Taylor worked as their Chief AI Evangelist until resigning in July 2022. Taylor then joined DataIku as their Chief AI Strategist and left in December 2023 to pursue his new venture. He is now a co-founder of an AI startup bringing a revolutionary B2C product to the market.
Jepson Taylor
Jepson Taylor has over 18 years of machine-learning experience. After studying chemical engineering, Taylor worked for Intel/Micron in applied semiconductor building process control and fault models. After that, he worked as a quant at a hedge fund on a 600 GPU cluster. Taylor then joined a young Sequoia-backed HR startup called HireVue to run their data group as their Chief Data Scientist, where he delivered 14 patents in AI. In 2017 Taylor co-founded Zeff.ai to pursue deep learning for image, audio, video, and text for the enterprise. Zeff was acquired by DataRobot in 2020 where Taylor worked as their Chief AI Evangelist until resigning in July 2022. Taylor then joined DataIku as their Chief AI Strategist and left in December 2023 to pursue his new venture. He is now a co-founder of an AI startup bringing a revolutionary B2C product to the market.
Feifei Wu
Feifei Wu is the Managing Director and Global Head of Engineering at Macquarie Asset Management, where she drives engineering strategy and innovation across asset and wealth management. She leads global teams advancing AI, machine learning, automation, data and cloud platforms to transform financial services.
Previously, Feifei served as General Partner (Divisional Chief Information Officer) at Edward Jones, overseeing technology strategy and digital modernization. Before that, she was Global CIO at Brown Brothers Harriman, where she led enterprise-wide data & digital transformation initiatives.
Her career also includes senior leadership roles at Royal Bank of Canada, BNY Mellon, and MetLife Investments, where she championed modernization through data and AI-driven solutions.
Feifei holds a Master’s degree in Computer Engineering with a focus on AI / ML from Zhejiang University and also completed her Master and Ph.D studies in Computer Science at Rutgers University with a focus on AI / ML. Known for combining technical depth with business strategy, she is recognized for shaping technology innovation in global finance.
Feifei Wu
Feifei Wu is the Managing Director and Global Head of Engineering at Macquarie Asset Management, where she drives engineering strategy and innovation across asset and wealth management. She leads global teams advancing AI, machine learning, automation, data and cloud platforms to transform financial services.
Previously, Feifei served as General Partner (Divisional Chief Information Officer) at Edward Jones, overseeing technology strategy and digital modernization. Before that, she was Global CIO at Brown Brothers Harriman, where she led enterprise-wide data & digital transformation initiatives.
Her career also includes senior leadership roles at Royal Bank of Canada, BNY Mellon, and MetLife Investments, where she championed modernization through data and AI-driven solutions.
Feifei holds a Master’s degree in Computer Engineering with a focus on AI / ML from Zhejiang University and also completed her Master and Ph.D studies in Computer Science at Rutgers University with a focus on AI / ML. Known for combining technical depth with business strategy, she is recognized for shaping technology innovation in global finance.
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