Data Democratization Podcast: Stories about AI, Data, and Privacy

• 52. Synthetic Data as a Strategic Enterprise Data Asset with AWS' Faris Haddad

  Welcome back to season 5 of the Data Democratization Podcast - and our first-ever live studio recording.In this episode, Alexandra Ebert sits down with Faris Haddad, AWS' Global AI Technical Strategy Lead. Together, they delve into the transformative role of synthetic data in modern enterprises.  Faris shares his journey into the world of synthetic data, highlighting its evolution from a niche solution to a cornerstone of enterprise data strategy. He discusses the challenges organizations face with data silos, legacy systems, and privacy concerns, and how synthetic data offers a pathway to overcome these hurdles.  Whether you're grappling with data accessibility issues or exploring innovative ways to leverage your organization's data assets, this episode offers valuable perspectives on integrating synthetic data into your enterprise data strategy. 

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• Democratizing AI? Not Without Data Intelligence & Synthetic Data—Ari Kaplan on the Biggest Roadblocks to Scaling AI

  AI democratization sounds great in theory, but why do so many enterprises struggle to make it work? In this episode, Ari Kaplan, Head of Tech Evangelism at Databricks, breaks down the biggest roadblocks to scaling AI—and what’s needed to overcome them. From data intelligence and synthetic data to why leading enterprises rely on unified data and analytics Platforms to cut costs, reduce governance complexity, and streamline AI adoption—we explore how organizations can move beyond AI pilot purgatory and use AI to drive tangible impact at scale.Ari dives into the hard truths about AI implementation, including why companies still face governance hurdles, siloed data, and inefficient infrastructure. Ari and I discuss how organizations can get more value from their data, deploy AI responsibly, and use synthetic data to scale securely.Plus, Ari shares his personal approach to balancing a global career, thought leadership, and content creation—including how he manages to make time for writing books while advising enterprises worldwide. We also discuss his take on social media strategy, the skills he’s encouraging his kids to develop for an AI-driven world, and the future of work in an era of intelligent automation.If you care about AI democratization, enterprise AI strategy, and staying ahead of the curve, this is an episode you won’t want to miss!

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• 50. How to Democratize Data and Bridge AI's Tech/Business-Gap with Erste Group's Anna Lishchenko

  For the 50th episode of the Data Democratization Podcast, I sat down with Anna Lishchenko, Data & Analytics for Business Platform Lead at Erste Group. As a true champion of data democratization, Anna shares invaluable insights into how to make data widely accessible, actionable, and impactful across a large, decentralized organization.💡 What you'll learn:The essential elements of building a data-driven culture, including data literacy, governance, and community building.Laying the foundation for success: How to align data and AI initiatives with business goals and secure buy-in from key stakeholders.Breaking barriers to experimentation: Using synthetic data to democratize access and accelerate innovation.Bridging silos: Connecting business and technical teams to drive collaboration and create real impact.Scaling AI and data initiatives: Turning one-off projects into sustainable enterprise-wide strategies.Whether you're just starting on your AI journey or scaling data initiatives, this episode is packed with actionable insights and practical advice. Don’t miss this engaging conversation about the status-quo and the future of data democratization!

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• 49. "Forget copying others — every organization needs to build their own AI muscle" with Microsoft's Daragh Morrissey

  In episode 2 of the new season, Alexandra Ebert chats with Daragh Morrissey, Microsoft’s Director of AI for Worldwide Financial Services, recorded live at Money2020 US. Daragh offers a global perspective on AI adoption in financial services, highlighting unique strategies and challenges faced by institutions worldwide. He explains why Canada and Australia stand out in AI progress and why succeeding with Gen AI requires financial institutions to shift from over-strategizing to focusing on tangible outcomes.Daragh also shares insights on impactful AI applications in financial services, from automating contact centers to upselling, enhancing customer relationships, and modernizing legacy code. Lastly, Alexandra and Daragh take a look at the future of work and the role autonomous agents might play. They also debate whether AI will free up advisors time and whether, as a result, banks will have many more human advisors, or if the future of personalized banking will be more automated, yet transformative in enhancing individual financial health and fostering greater inclusivity. Daragh’s compelling anecdotes and strategic insights make this episode a must-listen for anyone interested in AI’s future in financial services.Table of Contents:0:00 - 2:39 Introduction to the Episode and Guest2:39 - 4:42 Daragh's Role and Microsoft's AI Approach in Financial Services4:42 - 6:37 Patterns in Successful AI Adoption Globally6:37 - 8:20 Gen AI Adoption: Early Success Stories and Lessons Learned8:20 - 10:59 Overcoming Challenges: Moving Beyond Perfectionism in AI Projects10:59 - 12:14 The Shift in Financial Services AI Use Cases12:14 - 14:36 Regional Differences in AI Approaches in Financial Services14:36 - 17:55 AI Use Cases in Financial Services: From Advisors to Autonomous Agents17:55 - 20:00 Ethical Challenges and Responsible AI in Financial Services20:00 - 23:25 The Future of Financial Services AI: Customer Relationship Innovations23:25 - 27:32 Expanding Financial Inclusion with AI and Responsible AI Practices27:32 - 29:41 Closing Thoughts on AI’s Impact on Financial Services

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• 48. Driving Impact with (Gen) AI for Financial Services with NVIDIA's Malcolm deMayo

  Welcome back to Season 4 of the Data Democratization Podcast! In the 1st episode of the new season, Alexandra Ebert sat down with Malcolm DeMayo, NVIDIA's VP of Global Financial Services, live at Money2020 US to dive into what it takes for financial services organizations to succeed with data and AI at scale. Malcolm shares insights on using data as a true differentiator, why Responsible AI practices are more important than ever, and how modern privacy-enhancing technologies - like federated learning and synthetic data - help tackle common data challenges. He also sheds light on how Gen AI is impacting talent and the surprising ways AI assistants might help organizations counteract the negative effects of employee churn. And, of course, Alexandra asks Malcolm for his vision for the future of AI in financial services. Check out other episodes of the Data Democratization Podcast for more stories about data, privacy, responsible AI and how to do data democratization well.

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