- DisrupTV
DisrupTV is a weekly podcast with hosts R "Ray" Wang and Vala Afshar. The show airs live at 11:00 a.m. PT/ 2:00 p.m. ET every Friday. The audience can expect A-list guests, the latest enterprise news, hot startups, insight from influencers, and much more. Tweet questions to #DisrupTV or @DisrupTVShow. We broadcast live on StreamYard.
Show Link: https://www.youtube.com/user/ConstellationR
Featured Guests:
Paul Daugherty
Chief Technology and Innovation Officer
Accenture
Paul Daugherty is Accenture's Chief Technology and Innovation Officer (CTIO), and is a member of Accenture’s Global Management Committee. As a visionary in shaping the innovation of technology, Paul leads and executes Accenture’s technology strategy, leveraging the company’s leading-edge capabilities and research and development to reinvent the future of business.
As CTIO, Paul also leads Accenture’s Innovation strategy and organization, including Accenture Labs and The Dock in Dublin, Ireland. He directs Accenture’s global research and development into emerging technology areas such as generative AI, quantum computing, science tech and space technology. He leads a dedicated innovation group that not only designs and delivers transformational business and technology solutions, but also invests in, and partners with, pioneering companies to pilot and incubate new technologies. Paul also leads Accenture’s annual Technology Vision report, hosts its annual Innovation Forum event, and leads Accenture Ventures, which he founded to focus on strategic equity investments to accelerate growth.
Previously, Paul served as Accenture's Group Chief Executive – Technology, where he led all aspects of Accenture's Technology business. In this role, he led the formation of Accenture Cloud First to help clients across every industry accelerate their digital transformation and realize greater value at speed and scale by rapidly becoming “cloud first” businesses. He oversaw the launch of the Accenture Metaverse Continuum business group, which focuses market-leading capabilities in customer experience, digital commerce, extended reality, blockchain, digital twins, artificial intelligence and computer vision to help clients design, execute and accelerate their metaverse journeys. Most recently, he helped lay the groundwork for Accenture’s $3 billion investment in its Data & AI practice to help clients rapidly and responsibly advance and use AI, including Generative AI, to achieve greater growth, efficiency and resilience.
Paul is a passionate advocate for gender equality in the workplace and STEM-related inclusion and diversity initiatives. For more than six years, he has been a member of the board of directors of Girls Who Code, an organization that seeks to support and increase the number of women in computer science careers.
Paul serves on the board of directors of Avanade, the leading provider of Microsoft technology services. He also serves on the boards of the Computer History Museum and the Computer Science and Engineering program at the University of Michigan.
In 2023, Paul received the prestigious St. Patrick’s Day Science Medal for Industry from Science Foundation Ireland as well as a nomination to Thinkers50, a ranking of the world’s most influential management thinkers. He also accepted the FASPE Award for Ethical Leadership in 2019 for his work in applying ethical principles to the development and use of artificial intelligence technologies.
Paul is co-author of two highly acclaimed books: Human + Machine: Reimagining Work in the Age of AI (Harvard Business Review Press, 2018), a management playbook for the business of artificial intelligence; and Radically Human: How New Technology is Transforming Business and Shaping Our Future (Harvard Business Review Press, April 2022).
Paul joined Accenture in 1986. He earned his Bachelor of Science degree in computer engineering from the University of Michigan.
Twitter: @pauldaugh
Eric Siegel
Author of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment
Eric Siegel, Ph.D. is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. Eric also publishes op-eds on analytics and social justice.
Eric has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. Eric and his previous book have been featured in Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, The Financial Times, Forbes, Fortune, GQ, Harvard Business Review, The Huffington Post, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.
Twitter: @predictanalytic