Experiencing Data w/ Brian T. O’Neill - Data Products, Product Management, & UX Design

A podcast by Brian T. O’Neill from Designing for Analytics - Tuesdays

Categories:

Business Arts Technology

133 Episodes

  1. 131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill

    Published: 11/28/2023

  2. 130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome

    Published: 11/14/2023

  3. 129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue

    Published: 10/31/2023

  4. 128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst

    Published: 10/17/2023

  5. 127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry

    Published: 10/3/2023

  6. 126 - Designing a Product for Making Better Data Products with Anthony Deighton

    Published: 9/19/2023

  7. 125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao

    Published: 9/5/2023

  8. 124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

    Published: 8/22/2023

  9. 123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill

    Published: 8/8/2023

  10. 122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill

    Published: 7/25/2023

  11. 121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill

    Published: 7/11/2023

  12. 120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2)

    Published: 6/27/2023

  13. 119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1)

    Published: 6/13/2023

  14. 118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom

    Published: 5/30/2023

  15. 117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions

    Published: 5/16/2023

  16. 116 - 10 Reasons Your Customers Don’t Make Time for Your Data Product Initiatives + A Big Update on the Data Product Leadership Community (DPLC)

    Published: 5/2/2023

  17. 115 - Applying a Product and UX-Driven Approach to Building Stuart’s Data Platform with Osian Jones

    Published: 4/18/2023

  18. 114 - Designing Anti-Biasing and Explainability Tools for Data Scientists Creating ML Models with Josh Noble

    Published: 4/4/2023

  19. 113 - Turning the Weather into an Indispensable Data Product for Businesses with Cole Swain, VP Product at tomorrow.io

    Published: 3/21/2023

  20. 112 - Solving for Common Pitfalls When Developing a Data Strategy featuring Samir Sharma, CEO of datazuum

    Published: 3/7/2023

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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.