
Accenture AI Leaders Podcast
The Accenture AI Leaders Podcast series takes a closer look at industry trends, opportunities, and challenges related to AI, analytics, and data that are top of mind for CDOs, CAOs, and CIOs from leading organizations across the world. Listen in as these leaders talk one-on-one about their experiences driving AI-powered initiatives across their organizations.
Latest episodes

Oct 25, 2021 • 20min
AI Leaders Podcast #10: Creating Value with Digital Twins
Arnab Chakraborty talks with Bob Messier, SVP, Global Technology Services at SAS, about Digital Twins. They discuss which industries are leading the way, and some of the different use cases which range from sports to manufacturing to healthcare.

Sep 24, 2021 • 22min
AI Leaders Podcast #9: Big Data, Little Data & Synthetic Data
George Marcotte sits down with Ray O'Brien, Independent Entrepreneur & Finance Advisory Board Member, to talk about how companies are using data and the difference between big data, little data and synthetic data. They also discuss how different regions think about data privacy.

Aug 23, 2021 • 26min
AI Leaders Podcast #8: Women in AI
Joyce Kline talks with Rebekah Arsenault, an AI Strategy Consultant, and Sally Lin, a Data Scientist, about their experiences as women in the technology field and a group they started at Accenture called Women in AI.

Jul 29, 2021 • 12min
AI Leaders Podcast #7: Kimberly Nguyen's journey to becoming a Data Science Consultant
In this episode of the AI Leaders Podcast, Kimberly Nguyen, a Data Science Consultant, talks with Joyce Kline, Applied Intelligence Managing Director, about her career journey. Starting with her early struggles with math to getting two degrees in statistics and the ups and downs of finding a job in the field. Listen now to Kimberly's inspiring story.

Jul 5, 2021 • 16min
AI Leaders Podcast #6: Getting the Talent Equation Right to Scale AI
Alex Statnikov, Head of Customer Lifecycle Automation and Data Platform at Square, joins Arnab Chakraborty to discuss what skills are needed today and tomorrow in order to be successful in the field of analytics and AI.

May 27, 2021 • 26min
AI Leaders Podcast #5: Automating the Accenture Employee Experience to be More Intelligent
Jason Warnke and Mark Martynus join Lee Barrett to discuss how Accenture is using data and AI to automate the Accenture Employee Experience to be More Intelligent. This means identifying patterns in the data to make better decisions and ultimately improve the experience for all of our employees.

May 4, 2021 • 30min
AI Leaders Podcast #4: Building the Data Driven Culture Across the Organization
Joy Bonaguro, Chief Data Officer for the State of California, joins Arnab Chakraborty to discuss why building a data driven culture is actually about change management and how she views the role of the CDO. Listen now.

Apr 13, 2021 • 22min
AI Leaders Podcast #3: Accelerating AI Momentum on Cloud
Pallab Deb, Head of Partner Solutions & AI Partnerships at Google Cloud, joins Arnab Chakraborty to discuss the acceleration of AI, analytics and data with the journey to cloud. A super relevant topic as we are in the midst of one of the most disruptive periods that we have seen in the last century.

Feb 22, 2021 • 43min
AI Leaders Podcast #2: Professionalization of AI
Zachery Anderson, Chief Data & Analytics Officer at the NatWest Banking Group, joins Fernando Lucini, Global Lead Data Science & ML Engineering to discuss what companies must do in order to scale AI effectively for long-term success. https://www.accenture.com/professionalizeAI

Nov 3, 2020 • 26min
AI Leaders Podcast #1: Data Driven Transformation
Dr. Amy Gershkoff Bolles, Chief Data Officer of Bitly, dives into the world of data-driven transformation. She addresses the difference between hype and reality in data initiatives. Organizations must prioritize data fluency and define clear goals to leverage data effectively. Bolles emphasizes the need for hiring talent with both technical skills and business acumen. Leadership’s role is critical, especially in adapting to consumer behavior shifts. Collaboration and accountability are vital for ethical AI practices, ensuring diverse stakeholders work together to navigate these changes.
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