A Senior Managing Director at Accenture, Lan Guan currently leads the Accenture Center for Advanced AI. Guan advises cross-industry C-suite clients to develop and implement data and Artificial Intelligence strategies and products with strategic goals of helping them grow in the new era of Generative AI. She specializes in data strategy, cloud architecture, robotics, cognitive science, artificial intelligence, and machine learning. During her time at Accenture, she has spearheaded a range of leadership initiatives, including serving on the advisory board of the AI4All organization, which aims to significantly increase the number of next-generation AI talents in society. She also pioneered a FutureofU partnership with multiple start-ups to recruit unconventional data and AI talent into Accenture. Away from Accenture, Guan is an Adjunct Faculty with the Data Science Institute at Columbia University. As the recipient of the Top Women Leaders in Consulting for 2022, Guan has published many industry white papers and journal articles about the growing impact of AI on corporate transformation. She also co-authored a management handbook titled, "Selling Through Someone Else: How to Use Agile Sales Networks to Sell More." In addition, she is a sought-after industry speaker on data and AI. A passionate inventor, Guan holds more than 10 patents. She graduated from Wayne State University with a PhD ABD in econometrics and quantitative economics. Guan also graduated from the University of Michigan with an MBA in computational engineering.

As a Director of Data Analytics and Artificial Intelligence at KPMG US, Jean-Gabriel Prince helps companies leverage advanced technologies to transform their business. With a wealth of experience in various industries, Prince specializes in Data Engineering, Machine Learning, and Natural Language Processing, including Generative A.I. Over the years, he has led various cutting-edge A.I. projects for numerous large institutions. This includes applying machine learning to macro trading, designing and implementing Cybersecurity Data Lakes, Automating Regulatory Reporting, and Financial Document Processing, among many others. Prince’s firm, KPMG, is one of the world’s leading professional services firms with more than 75 offices and over 40,000 employees. Before KPMG, Prince held several leadership positions in London and New York, including Head of Quantitative Research for two Systematic Macro Hedge Funds. He also served as a Portfolio Manager for BlackRock. He holds a M.Sc. in Mechanical Engineering from Imperial College London and another master's in Applied Mathematics from INSA Toulouse. Moreover, Prince holds various certifications in Data Science, Cloud Computing, Artificial Intelligence, Product Management, Agile Methodologies, Cybersecurity, and Risk Management from professional organizations like Microsoft, AWS, (ISC)², Scrum Alliance, and Pragmatic Institute.

As a Managing Director at FTI Consulting, John Collins helps clients deploy AI at scale to solve their business problems. Typically, the AI that Collins delivers involves deep learning neural networks, generative adversarial networks, reinforcement learning, and natural language processing – along with supporting Python ecosystems, data pipelines, predictive analytics, and UI. Notably, Collins is an expert in risk management, including market, credit, liquidity, operational, cyber, and compliance risks. On top of that, he has extensive capital markets experience across fixed income, foreign exchange, equities, delta one, and OTC derivatives. Notably, he has achieved remarkable accomplishments, including the launch of Identif.AI, a pioneering AI-powered platform for sanctions screening and anti-money laundering transaction monitoring. Collins conceptualized, guided the development, and led the global implementation of Identif.AI, revolutionizing financial crimes compliance by addressing the challenge of excessive false positives. Previously, Collins directed large transformation programs in global financial institutions, covering trading and portfolio management, market and credit risk, enterprise data architecture, and regulatory transformation. Collins holds a PhD in Finance (Financial Mathematics and Econometrics) from EDHEC Business School. In addition to his duties at FTI, he frequently collaborates on research projects and publishes papers with academic colleagues. His research interests include the use of DL for analysis of high-frequency financial time series and comparisons of DL to other complex non-linear state space models.

Paul Henninger is a Partner, Head of UK Connected Technology & Global Lighthouse at KPMG UK. As Head of Connected Technology, Henninger leads all UK Technology teams, including technology advisory, data & analytics, cloud & application engineering, automation; and its enterprise platforms teams across major platforms – including SAP, Oracle, Salesforce, Coupa and others. In his global role, he leads data, analytics, engineering, and automation capabilities. With more than 25 years of experience, Henninger has worked across a wide-range of industries, including retail, technology, financial services, manufacturing, and government. His recent client work includes: leading the technology and business model transformation for the post-merger integration of two major financial infrastructure firms; and supporting the rapid deployment of vaccination programs. Trusted for his expertise, Henninger is frequently sought out as a subject-matter expert and advisor by leading organizations working on policy, R&D initiatives, and educational programs related to the adoption and development of data-driven technologies. He holds an undergraduate degree in architecture from Princeton University.

Wim Verleyen is the Associate Director of Data & Analytics at Raytheon Technologies,the world's largest aerospace and defense company. With more than 180,000 global employees, they push the limits of technology and science to redefine how they connect and protect their world. The company, with 2022 sales of $67 billion, is headquartered in Arlington, Virginia. Verleyen joined Raytheon Technologies in 2020. As a technology leader with over 15 years of experience, Verleyen has a proven track record of advancing data capabilities for descriptive, diagnostic, and predictive services. In addition to his expertise in data science and machine learning, he also has significant experience working closely with technology leaders and business stakeholders, which has enabled Verleyen to define and execute AI/ML innovation that delivers tangible business value. Verleyen earned a PhD in machine learning for systems pathology from the University of St Andrews and a master’s in electrical and electronics engineering from the KU Leuven Faculty of Engineering Technology, De Nayer Campus.