• Data Democratization: Stories about data, AI and privacy

  • 著者: MOSTLY AI
  • ポッドキャスト

Data Democratization: Stories about data, AI and privacy

著者: MOSTLY AI
  • サマリー

  • A podcast about data innovation, regulations and data privacy. We will bring you exciting and inspiring stories from the frontiers of data and privacy management. Think AI, fairness, privacy-compliance, synthetic data, data literacy, and more. Hosted by Alexandra Ebert, MOSTLY AI's Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to podcast@mostly.ai!

    © 2024 Data Democratization: Stories about data, AI and privacy
    続きを読む 一部表示

あらすじ・解説

A podcast about data innovation, regulations and data privacy. We will bring you exciting and inspiring stories from the frontiers of data and privacy management. Think AI, fairness, privacy-compliance, synthetic data, data literacy, and more. Hosted by Alexandra Ebert, MOSTLY AI's Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to podcast@mostly.ai!

© 2024 Data Democratization: Stories about data, AI and privacy
エピソード
  • 50. How to Democratize Data and Bridge the Tech/Business-Gap with Erste Group's Anna Lishchenko
    2024/11/21

    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!

    続きを読む 一部表示
    54 分
  • 49. "Forget copying others — every organization needs to build their own AI muscle" with Microsoft's Daragh Morrissey
    2024/11/14

    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 Guest
    • 2:39 - 4:42 Daragh's Role and Microsoft's AI Approach in Financial Services
    • 4:42 - 6:37 Patterns in Successful AI Adoption Globally
    • 6:37 - 8:20 Gen AI Adoption: Early Success Stories and Lessons Learned
    • 8:20 - 10:59 Overcoming Challenges: Moving Beyond Perfectionism in AI Projects
    • 10:59 - 12:14 The Shift in Financial Services AI Use Cases
    • 12:14 - 14:36 Regional Differences in AI Approaches in Financial Services
    • 14:36 - 17:55 AI Use Cases in Financial Services: From Advisors to Autonomous Agents
    • 17:55 - 20:00 Ethical Challenges and Responsible AI in Financial Services
    • 20:00 - 23:25 The Future of Financial Services AI: Customer Relationship Innovations
    • 23:25 - 27:32 Expanding Financial Inclusion with AI and Responsible AI Practices
    • 27:32 - 29:41 Closing Thoughts on AI’s Impact on Financial Services
    続きを読む 一部表示
    47 分
  • 48. Driving Impact with (Gen) AI for Financial Services with NVIDIA's Malcolm deMayo
    2024/11/07

    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.

    続きを読む 一部表示
    39 分

Data Democratization: Stories about data, AI and privacyに寄せられたリスナーの声

カスタマーレビュー:以下のタブを選択することで、他のサイトのレビューをご覧になれます。