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Human-Centered AI Leadership & Culture: Change Management in the AI-Driven Enterprise

Author:

Sam Burd

Chief Strategy Officer

Dell Technologies

Author:

Magnus Östberg is the Chief Software Officer (CSO) at Mercedes-Benz, where he spearheads the development and implementation of the MB.OS vehicle operating system. Born in Sweden, Östberg holds a Master's degree in Electrical Engineering from Chalmers University of Technology and an Executive MBA from the University of Gothenburg. With a career deeply rooted in automotive software, Östberg brings extensive experience from leadership roles at Mecel, Delphi, and Aptiv. His expertise spans vehicle software, infotainment, telematics, and advanced driver-assistance systems (ADAS). Notably, at Aptiv, he was instrumental in the development and launch of the ADAS Satellite Architecture for multiple automotive manufacturers.

Author:

Forrest Norrod

Executive Vice President & GM, Data Center Solutions Group

AMD

Forrest Norrod is executive vice president and general manager of the Data Center Solutions Business Group at AMD. In this role, he is responsible for managing all aspects of strategy, business management and engineering for AMD data center products. Norrod has more than 30 years of technology industry experience across a number of engineering and business management roles at both the chip and system level.

Norrod was previously vice president and general manager of the Server Business at Dell from December 2009 to October 2014. He joined Dell as CTO of Client Products in August 2000, and held multiple engineering and management roles during his tenure.

Prior to Dell, Norrod worked at Cyrix Corp from 1993 to 1997 and led the integrated x86 CPU businesses at National Semiconductor from 1997 to 2000.

Norrod is a member of Intuit’s board of directors, a leading provider of financial tools for individuals and small businesses.

Norrod earned his Bachelor of Science and Master of Science degrees in electrical engineering from Virginia Tech and holds 11 US patents in computer architecture, graphics and system design.

Author:

Ramin Hasani

Co-Founder & CEO

Liquid AI

Ramin Hasani is the Co-founder and CEO of Liquid AI and a machine learning Scientist at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT).

Previously, he was jointly appointed as a Principal AI and Machine Learning Scientist at the Vanguard Group and a Research Affiliate at CSAIL MIT. Ramin’s research focuses on robust deep learning and decision-making in complex dynamical systems. Prior to that, he was a Postdoctoral Associate at CSAIL MIT, leading research on modeling intelligence and sequential decision-making, with Prof. Daniela Rus.

He received his Ph.D. degree with distinction in Computer Science from the Vienna University of Technology (TU Wien), Austria (May 2020). His Ph.D. dissertation and continued research on Liquid Neural Networks got recognized internationally with numerous nominations and awards such as TÜV Austria Dissertation Award nomination in 2020, and HPC Innovation Excellence Award in 2022. He is a frequent TEDx Speaker.

Moderator

Author:

Jeff Hart

Senior Partner

QuantumBlack, AI by McKinsey

Jeff is one of McKinsey’s leading thinkers on bringing artificial intelligence and machine learning to improve core commercial sales and operations processes for core industrial clients, including those in chemicals, energy, and metals and mining.

A key partner with QuantumBlack, Jeff oversaw the development of our proprietary B2B commercial analytics platform that converted McKinsey’s best thinking on sales and pricing into reusable software that any B2B client can use.

Examples of Jeff’s recent work include the following:

standing up a commercial analytics center of excellence that leverages machine learning to recommend prices and includes new processes and training programs. This new capability is on track to deliver more than $200 million in additional margin for a petrochemical company
supporting development of a digital factory, including operating model and skill building, for a midstream oil and gas company; the first product focused on identifying data issues and increasing uptime on critical assets
partnering with a sports team on an analytics transformation to fully embed its use of technology and advanced analytics

Outside of McKinsey, Jeff is a board member for Combined Arms, a not for profit focused on improving the effectiveness of organizations that provide support to military veterans and their families.

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Lessons Learned from Enterprise AI Deployments in 2025 - QuantumBlack, AI by McKinsey

Author:

Dan Tinkoff

Senior Partner & Global Leader

QuantumBlack, AI by McKinsey

Dan is a senior partner in McKinsey’s New Jersey office and leads QuantumBlack, AI by McKinsey, globally and in North America. He leverages his data and AI expertise and extensive industry knowledge to advise leaders and chief digital and AI officers of life-science businesses on their strategies and operating models. He also works extensively with organizations on transforming and innovating their capabilities for today’s dynamic healthcare and technology landscape.

Examples of his recent client work include:

helping a leading pharmaceutical company envision and design a tech-enabled direct-to-consumer channel for medication dispensing, telehealth, and assistance across the continuum of care
assisting a leading eye care company in building a differentiated B2B2C e-commerce platform to create more value for eye care professionals and their patients
supporting a leading healthcare company’s program to identify new business models to generate revenue from its data assets
helping a major pharmaceutical company develop an enterprise advanced analytics strategy, operating model, and implementation plan to drive a more than 10 percent incremental earnings increase from prioritized analytics use cases over three years
envisioning the AI-enabled future of a leading veterinary diagnostics and software company

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The Unique Challenges in AI & Digital Transformation at 100+ Year Old Firms

Author:

Swatee Singh

Chief Information Officer, Data, AI & Corporate Technology

TIAA

Swatee brings deep expertise in Big Data, Artificial Intelligence, Cloud, & Blockchain
while leading various Technology verticals in her career as their CIO. She has a
proven track record in leading strategy, design, and tech delivery of revenue
generating customer-centric, AI-powered applications at major global firms.
In her most recent role as the CIO of Enterprise Data Platforms at Barclays, she was
responsible for strategy, transformation and technical delivery of their next-gen
technology and data capabilities in a hybrid, multi-cloud environment, including
their E2E Machine Learning Platform and Realtime Streaming Platform. Prior, she
was Head of Big Data Platform Engineering and Distinguished Architect at
American Express, where she spent 8+ years, and led the development of global
platforms and leading-edge applications including multi-petabyte Big Data and AI
at PwC and McKinsey.

Swatee has tremendous followership in the industry and is known for her thought
leadership, innovation and developing the best talent. She is known for driving
innovation and recruiting/retaining the best talent. She is collaborative with a
natural ability to influence without organizational authority. She holds a PhD from Duke University with focus on Machine Learning. She is credited with multiple patents in Data, AI and Cloud, and is the author of several industry
publications.

At TIAA, Swatee has been tasked to elevate our Enterprise Data and AI strategy and impact across business lines, with focus on developing next-gen data management, AI and Machine Learning platforms, data science capabilities, data quality and governance and AI-powered differentiating assets. Swatee also leads the Client Tech Labs which looks to co-innovate with Clients using emerging tech to build next gen products. As CIO for Corporate Tech she is tasked with shared services to drive efficiencies and lower costs.

Author:

Franziska Bell

Chief Data, AI & Analytics Officer

Ford

Fran Bell Ph.D. is Chief Data, AI and Analytics Officer at Ford Motor Company, a role she assumed in January 2025.

In this role, Fran leads a diverse team of experts focused on enhancing how the Ford enterprise solves business problems and drives business value through data, artificial intelligence, and advanced analytics.

Fran joined Ford from BP, where she most recently served as Chief Technology Office (CTO) and Senior Vice President (SVP) of Digital Technology. At BP, her leadership encompassed a large technology organization responsible for software and platform engineering, data science, AI, data analytics, data engineering, data management, UX research, design, and change management. Before her time at BP, Fran held executive positions at Toyota Research Institute and Uber.

Fran holds a doctoral degree in Theoretical Chemistry from the University of California, Berkeley and a postdoc from Caltech.

Moderator

Author:

Stacey Haas

Senior Partner

McKinsey & Company

As a leader in McKinsey’s Consumer Practice, Stacey helps clients drive profitable growth, with a focus on portfolio strategy, innovation, and design-to-deliver above-market growth.

Recent examples of client work include the following:

designed a new approach to driving breakthrough innovation for a consumer company
guided a consumer-packaged-goods company through a global product-offering redesign while also building the internal design-to-value (an integrated approach to designing products that deliver the greatest value) capabilities
developed, in collaboration with a client and McKinsey Design, a new product, from the process of defining the “white space” to the development of the consumer-tested working prototype

Stacey is also a leader in All-In, McKinsey’s diversity and inclusion initiative.

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From Conversation to Completion: Building the Federated Intelligence Layer for the AI-First Workplace

Author:

Xuedong XD Huang

Chief Technology Officer

Zoom

Xuedong (X.D.) Huang is the chief technology officer at Zoom, where he leads the AI strategy and services for the company. Xuedong is a renowned technology leader who has been instrumental in bringing speech recognition and AI to the mass market. He has led groundbreaking milestones in speech recognition, machine translation, natural language understanding, and computer vision.

Prior to joining Zoom in 2023, he worked at Microsoft, where he served as Azure AI CTO and technical fellow. He began Microsoft’s speech technology group in 1993 and led Microsoft’s AI teams to achieve several of the industry’s first human parity milestones in speech recognition, machine translation, natural language understanding, and computer vision. He is an inventor with over 170 U.S. patents and has authored over 100 papers and two books. He is an IEEE and ACM Fellow, an elected member of the National Academy of Engineering and the American Academy of Arts and Sciences, and received the IEEE Bose Industrial Leader Award in 2023.

Xuedong received his Ph.D. from the University of Edinburgh in 1989 (sponsored by the British ORS and Edinburgh University Scholarship), his M.S. from Tsinghua University in 1984, and his B.S. from Hunan University in 1982.