Experiencing Data w/ Brian T. O’Neill (UX for AI Data Products, SAAS Analytics, Data Product Management)

Een podcast door Brian T. O’Neill from Designing for Analytics - Dinsdagen

Dinsdagen

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136 Afleveringen

  1. 074 - Why a Former Microsoft ML/AI Researcher Turned to Design to Create Intelligent Products from Messy Data with Abhay Agarwal, Founder of Polytopal

    Gepubliceerd: 21-9-2021
  2. 073 - Addressing the Functional and Emotional Needs of Users When Designing Data Products with Param Venkataraman

    Gepubliceerd: 7-9-2021
  3. 072 - How to Get Stakeholders to Reveal What They Really Need From a Data Product with Cindy Dishmey Montgomery

    Gepubliceerd: 24-8-2021
  4. 071 - The ROI of UX Research and How It Applies to Data Products with Bill Albert

    Gepubliceerd: 10-8-2021
  5. 070 - Fighting Fire with ML, the AI Incident Database, and Why Design Matters in AI-Driven Software with Sean McGregor

    Gepubliceerd: 27-7-2021
  6. 069 - The Role of Creativity and Product Thinking in Data Monetization with ‘Infonomics’ Author Doug Laney

    Gepubliceerd: 13-7-2021
  7. 068 - Why User Adoption of Enterprise Data Products Continues to Lag with International Institute for Analytics Executive VP Drew Smith

    Gepubliceerd: 29-6-2021
  8. 067 - Why Roche Diagnostics’ BI and Data Science Teams Are Adopting Human-Centered Design and UX featuring Omar Khawaja

    Gepubliceerd: 15-6-2021
  9. 066 - How Alison Magyari Used Design Thinking to Transform Eaton’s Business Analytics Approach to Creating Data Products

    Gepubliceerd: 1-6-2021
  10. 065 - Balancing Human Intuition and Machine Intelligence with Salesforce Director of Product Management Pavan Tumu

    Gepubliceerd: 18-5-2021
  11. 064 - How AI Shapes the Products of Startups in MIT’s “Tough Tech” Venture Fund, The Engine feat. General Partner, Reed Sturtevant

    Gepubliceerd: 4-5-2021
  12. 063 - Beyond Compliance: Designing Data Products With Data Privacy As a UX Benefit with The Data Diva (Debbie Reynolds)

    Gepubliceerd: 20-4-2021
  13. 062 - Why Ben Shneiderman is Writing a Book on the Importance of Designing Human-Centered AI

    Gepubliceerd: 6-4-2021
  14. 061 - Applying a Product Mindset to Internal Data Products with Silicon Valley Product Group Partner Marty Cagan

    Gepubliceerd: 23-3-2021
  15. 060 - How NPR Uses Data to Drive Editorial Decisions in the Newsroom with Sr. Dir. of Audience Insights Steve Mulder

    Gepubliceerd: 9-3-2021
  16. 059 - How Design Thinking Helps Organizations and Data Science Teams Create Economic Value with Machine Learning and Analytics feat. Bill Schmarzo

    Gepubliceerd: 23-2-2021
  17. 058 - IoT Spotlight: 8 UI / UX Strategies for Designing Indispensable Monitoring Applications

    Gepubliceerd: 9-2-2021
  18. 057 - How to Design Successful Enterprise Data Products When You Have Multiple User Types to Satisfy

    Gepubliceerd: 26-1-2021
  19. 056 - How Design Helps Drive Adoption of Data Products Used for Social Work with Chief Data Officer Dr. Besa Bauta of MercyFirst

    Gepubliceerd: 12-1-2021
  20. 055 - What Can Carol Smith’s Ethical AI Work at the DoD Teach Us About Designing Human-Machine Experiences?

    Gepubliceerd: 29-12-2020

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Are you an enterprise data or product leader seeking to increase the user adoption and business value of your ML/AI and analytical data products? While it is easier than ever to create ML and analytics from a technology perspective, do you find that getting users to use, buyers to buy, and stakeholders to make informed decisions with data remains challenging? If you lead an enterprise data team, have you heard that a ”data product” approach can help—but you’re not sure what that means, or whether software product management and UX design principles can really change consumption of ML and analytics? My name is Brian T. O’Neill, and on Experiencing Data—one of the top 2% of podcasts in the world—I offer you a consulting product designer’s perspective on why simply creating ML models and analytics dashboards aren’t sufficient to routinely produce outcomes for your users, customers, and stakeholders. My goal is to help you design more useful, usable, and delightful data products by better understanding your users, customers, and business sponsor’s needs. After all, you can’t produce business value with data if the humans in the loop can’t or won’t use your solutions. Every 2 weeks, I release solo episodes and interviews with chief data officers, data product management leaders, and top UX design and research professionals working at the intersection of ML/AI, analytics, design and product—and now, I’m inviting you to join the #ExperiencingData listenership. Transcripts, 1-page summaries and quotes available at: https://designingforanalytics.com/ed ABOUT THE HOST Brian T. O’Neill is the Founder and Principal of Designing for Analytics, an independent consultancy helping technology leaders turn their data into valuable data products. He is also the founder of The Data Product Leadership Community. For over 25 years, he has worked with companies including DellEMC, Tripadvisor, Fidelity, NetApp, Roche, Abbvie, and several SAAS startups. He has spoken internationally, giving talks at O’Reilly Strata, Enterprise Data World, the International Institute for Analytics Symposium, Predictive Analytics World, and Boston College. Brian also hosts the highly-rated podcast Experiencing Data, advises students in MIT’s Sandbox Innovation Fund and has been published by O’Reilly Media. He is also a professional percussionist who has backed up artists like The Who and Donna Summer, and he’s graced the stages of Carnegie Hall and The Kennedy Center. Subscribe to Brian’s Insights mailing list at https://designingforanalytics.com/list.

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