Discover the shift from a data-driven to a value-driven approach that empowers organizations. Learn how building data literacy can unlock collective intelligence and foster innovation. Explore the intersection of AI and data strategy, highlighting the importance of clean data. Understand the crucial role of responsible AI in healthcare and the need for ethical governance. This discussion features thought leaders emphasizing collaboration and the human aspects of technology in achieving impactful results.

Marni Baker Stein, Coursera’s Chief Content Officer, has a rich background in online education. In this conversation, she explores the ripple effects of Generative AI on upskilling and the pressing need for emotional intelligence as technology transforms workplaces. Marni highlights alarming trends like the dramatic rise in demand for AI skills and the gender gap in tech education. She emphasizes the urgency for individuals to proactively pursue new skills, alongside the role of data in personalizing learning experiences for enhanced outcomes.

Deepak Jose, Vice President of Data Sciences & Business Intelligence at Niagara Bottling, discusses his career transition from mechanical engineer to data leader. He emphasizes the necessity of a business problem-first mindset over a data-first approach. Deepak shares insights on the evolving role of AI in business, advocating for adaptable strategies rather than rigid capabilities. He stresses the importance of empathy and collaboration in leadership to truly solve organizational challenges. Personal reflections highlight the significance of family and work-life balance.

Dr. Gary Marcus, a prominent AI scientist and industry critic, shares his insights on the shortcomings of current AI systems. He stresses the urgent need for AI regulation, likening its importance to immigration and financial policies. Marcus challenges the hype around AI capabilities, arguing that true understanding of human intelligence remains elusive. Additionally, he highlights the global AI race and the imperative for international cooperation to ensure ethical governance of AI technologies.

Jeremy Kahn, an AI history expert, shares insights on the lessons learned from the Turing Test and cautions against deskilling due to technology. Sol Rashidi highlights the challenges of AI implementation, emphasizing the need for cultural and relevancy ROI alongside financial metrics. Bernard Marr discusses making AI understandable for society, addressing its impact on jobs and personalization in healthcare. The trio reflects on the balance of harnessing technology while promoting human collaboration and resilience.

Mark Cuban, a renowned entrepreneur and investor, discusses his mission to bring transparency to the prescription drug industry through his Cost Plus Drugs initiative. He shares insights on utilizing data analytics to enhance sports performance and injury prevention. Cuban emphasizes the importance of making technology and AI education accessible to underprivileged children, fostering curiosity and diversity in tech talent. His enthusiasm for large language models highlights the endless possibilities for personal and professional growth in today's digital landscape.

Key Moments:Why is the data wrong? (6:00)Our products are our data (11:00)The true size of the data quality problem (14:00)Clean your data before you prioritize shiny new tools (26:00)The next frontier: GenAI and unstructured data (31:00)Key Quotes:“The data estate has changed significantly. But the way in which we manage data and data quality specifically has not adapted.” – Barr Moses“I tracked every single change in the data that I made, and could calculate how much money a company saved after a data cleanup. For a mid-size company, the difference was approximately a quarter of a billion dollars. For a large company, it could be several billion dollars. 45% of the data I cleaned had errors.” – Olga Maydanchik“The competitive advantage is really the access to your proprietary data that you have as an enterprise. So you need to make sure that that data is accurate, reliable, and on time. Now, how do you do that? That's something that people are still figuring out.”  – Barr MosesMentions:Information Quality Applied: Best Practices for Improving Business Information, Outcomes and Systems: Book by Larry EnglishThe Rest is History PodcastFreakonomics PodcastThe Matrix Film SeriesThe Play That Goes WrongBio: Barr Moses: Barr Moses is the CEO and Co-Founder of Monte Carlo, the data reliability company. Monte Carlo is the creator of the industry's first end-to-end Data Observability platform. She is also co-author of O'Reilly's Data Quality Fundamentals: Building Reliable Data Pipelines. Previously, she was VP Customer Operations at Gainsight, a management consultant at Bain & Company and served in the Israeli Air Force as a commander of an intelligence data analyst unit.Olga Maydanchik:Olga Maydanchik is a data governance, data quality, and data architecture thought leader and practitioner. She is an expert in design and implementation of enterprise-wide data management programs, who has led data quality efforts at Deutsche Bank, AIG, and at Citi. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Key Moments:Leveraging data for good (2:00) Every leader is responsible for data management (13:00) New metrics to validate AI’s sustainability (21:00) Mitigating AI’s risks to society (23:00) The current shape of global AI regulation (28:00) The importance of diversity in mitigating data bias (37:00) Key Quotes:“Every leader must understand that they have a responsibility for data management. It’s an underlying skill that we really have to harness in all of our college, university, and high school programs. It's fundamental. We seem to teach people how to problem solve, but this is table stakes. In order to ever get AI right, we've got to solve the data challenges.”“There's no question on whether business value and how to measure AI’s return on investment (ROI) is always top of mind in my discussions with executives. But what they really want to know is if their existing ROI methods are sufficient or not. What are the new metrics that they need to put in place to validate AI and its sustainability?”“We’re not at the high-growth stage of AI innovation. We’re in the early experimentation stage. We don’t have international guardrails. All of these systems are going to take around 20-years to put in place. It takes six years to put a new university curriculum in place. People have to take responsibility to learn. This is a fundamental shift and it's one that's happening at break lightning speed.”Mentions:Mood InsightsGallup Research: 1 in 5 Employees Feel Lonely Worldwide KFF Loneliness and Support Networks Survey United States Artificial Intelligence Institute Dr. Cindy Gordon’s AI Insights NewsletterHispanic Alliance for Career Enhancement and SalesChoice Whitepaper: Why Diversity Equity and Inclusion Leaders Must Lead in AIBio: Dr. Cindy Gordon ICD.D. is the CEO of SalesChoice, a SaaS AI company focused on Ending Growth Uncertainty for Human Advantage, and has been recognized by Onalytica as one of the top AI global influencers. Prior, she has held senior executive and partner roles at Accenture, Xerox, and Citicorp. She has also been a venture capitalist and angel advancing B2B technology software companies. Internationally, she is recognized for her innovative thought leadership with over 14 books in the market. Cindy is also a board advisor, thought leader in SaaS, AI and AI education, market research companies at: The AI Forum, Corent Technology, Forbes, Kaji.AI, USAII. Her AI community track record is extensive, University of Arizona – Business and Technology AI Board Advisor, Adjunct Professor, George Brown College, Applied AI. She regularly speaks at international conferences to advance AI Ethics and AI Education to board directors and C-suite executives. Academically, Dr. Gordon has an honorary Applied AI Doctorate Certification from George Brown College, an MIT AI Strategy Certification, and a doctorate in Complexity Science and Social Networks. She is also a certified Board Director with an ICD.D. designation. Under Dr. Gordon’s leadership, the company has won over twenty international awards, most recently she was recognized as the CEO of the Year Award for Women in Digital Transformation. She has also received the Governor General Award for her Innovation and Community Leadership. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Key Moments: A journey from intern to CEO (05:10)Encouraging a harmonized relationship between humans and AI (09:58)Why embracing stress can drive urgency and effective change (17:18)Generative AI’s impact on the skills landscape (30:39)Fostering a data-driven company culture (36:41)Embrace change, and quickly (40:25)Key Quotes: “AI does amazing things, like summarizations and semantic search. Humans do amazing things like curation of knowledge, making sure it's accurate, connecting the dots, and creating relationships. So bringing the power of humans-in-the loop, especially given a broader trust deficit, felt like the right thing to do at this point in time.”“I think ultimately what guides us is we want to be useful to our users and our customers. That's the guiding light. Because why do we exist as an organization or a community? We should all just go home. If we don't actually have a mission and purpose that adds value, then we don't have a purpose. So the question is, what is that? What is the highest purpose?”“When you think about the future of software development, there’s a lot of doomsdayers about job losses. I think it's going to be the opposite. I think AI reduces the barrier to entry. I think a lot of people will be “developers”, even though they may be doing very different things.”Mentions: WeAreDevelopers World Congress 2023 OverflowAIOverflow API Stack Overflow for TeamsAmp It Up Book Bio: Prashanth Chandrasekar is Chief Executive Officer of Stack Overflow and is responsible for driving Stack Overflow’s overall strategic direction and results.Prashanth is a proven technology executive with extensive experience leading and scaling high-growth global organizations. Previously, he served as Senior Vice President & General Manager of Rackspace’s Cloud & Infrastructure Services portfolio of businesses, including the Managed Public Clouds, Private Clouds, Colocation and Managed Security businesses. Before that, Prashanth held a range of senior leadership roles at Rackspace including Senior Vice President & General Manager of Rackspace’s high growth, global business focused on the world’s leading Public Clouds including Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP) and Alibaba Cloud, which became the fastest growing business in Rackspace’s history. Prior to joining Rackspace, Prashanth was a Vice President at Barclays Investment Bank, focused on providing Strategic and Mergers & Acquisitions (M&A) advice for clients in the Technology, Media and Telecom (TMT) industries.  Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Topics include leveraging GenAI for success, importance of data governance and literacy, challenges in data leadership, addressing technical debt, personal hobbies and family traditions, prioritizing data inspired by Abraham Lincoln, and entertainment experiences.