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

Podcast autorstwa Brian T. O’Neill from Designing for Analytics - Wtorki

Wtorki

Kategorie:

Biznes Sztuka Technologia

148 Odcinki

  1. 126 - Designing a Product for Making Better Data Products with Anthony Deighton

    Opublikowany: 19.09.2023

  2. 125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao

    Opublikowany: 5.09.2023

  3. 124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective

    Opublikowany: 22.08.2023

  4. 123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill

    Opublikowany: 8.08.2023

  5. 122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill

    Opublikowany: 25.07.2023

  6. 121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill

    Opublikowany: 11.07.2023

  7. 120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2)

    Opublikowany: 27.06.2023

  8. 119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1)

    Opublikowany: 13.06.2023

  9. 118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom

    Opublikowany: 30.05.2023

  10. 117 - Phil Harvey, Co-Author of “Data: A Guide to Humans,” on the Non-Technical Skills Needed to Produce Valuable AI Solutions

    Opublikowany: 16.05.2023

  11. 116 - 10 Reasons Your Customers Don’t Make Time for Your Data Product Initiatives + A Big Update on the Data Product Leadership Community (DPLC)

    Opublikowany: 2.05.2023

  12. 115 - Applying a Product and UX-Driven Approach to Building Stuart’s Data Platform with Osian Jones

    Opublikowany: 18.04.2023

  13. 114 - Designing Anti-Biasing and Explainability Tools for Data Scientists Creating ML Models with Josh Noble

    Opublikowany: 4.04.2023

  14. 113 - Turning the Weather into an Indispensable Data Product for Businesses with Cole Swain, VP Product at tomorrow.io

    Opublikowany: 21.03.2023

  15. 112 - Solving for Common Pitfalls When Developing a Data Strategy featuring Samir Sharma, CEO of datazuum

    Opublikowany: 7.03.2023

  16. 111 - Designing and Monetizing Data Products Like a Startup with Yuval Gonczarowski

    Opublikowany: 21.02.2023

  17. 110 - CDO Spotlight: The Value and Journey of Implementing a Data Product Mindset with Sebastian Klapdor of Vista

    Opublikowany: 7.02.2023

  18. 109 - The Role of Product Management and Design in Turning ML/AI into a Valuable Business with Bob Mason from Argon Ventures

    Opublikowany: 24.01.2023

  19. 108 - Google Cloud’s Bruno Aziza on What Makes a Good Customer-Obsessed Data Product Manager

    Opublikowany: 10.01.2023

  20. 107 - Tom Davenport on Data Product Management and the Impact of a Product Orientation on Enterprise Data Science and ML Initiatives

    Opublikowany: 27.12.2022

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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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