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

En podcast av Brian T. O’Neill from Designing for Analytics - Tisdagar

Tisdagar

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143 Avsnitt

  1. 141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne

    Publicerades: 2024-04-16
  2. 140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ

    Publicerades: 2024-04-02
  3. 139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)

    Publicerades: 2024-03-19
  4. 138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures

    Publicerades: 2024-03-05
  5. 137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen

    Publicerades: 2024-02-20
  6. 136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman

    Publicerades: 2024-02-06
  7. 135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations

    Publicerades: 2024-01-23
  8. 134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”

    Publicerades: 2024-01-09
  9. 133 - New Experiencing Data Interviews Coming in January 2024

    Publicerades: 2023-12-26
  10. 132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner

    Publicerades: 2023-12-12
  11. 131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill

    Publicerades: 2023-11-28
  12. 130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome

    Publicerades: 2023-11-14
  13. 129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue

    Publicerades: 2023-10-31
  14. 128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst

    Publicerades: 2023-10-17
  15. 127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry

    Publicerades: 2023-10-03
  16. 126 - Designing a Product for Making Better Data Products with Anthony Deighton

    Publicerades: 2023-09-19
  17. 125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao

    Publicerades: 2023-09-05
  18. 124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

    Publicerades: 2023-08-22
  19. 123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill

    Publicerades: 2023-08-08
  20. 122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill

    Publicerades: 2023-07-25

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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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