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
Kategorie:
137 Odcinki
-
135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations
Opublikowany: 23.01.2024 -
134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”
Opublikowany: 9.01.2024 -
133 - New Experiencing Data Interviews Coming in January 2024
Opublikowany: 26.12.2023 -
132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner
Opublikowany: 12.12.2023 -
131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill
Opublikowany: 28.11.2023 -
130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome
Opublikowany: 14.11.2023 -
129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue
Opublikowany: 31.10.2023 -
128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst
Opublikowany: 17.10.2023 -
127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry
Opublikowany: 3.10.2023 -
126 - Designing a Product for Making Better Data Products with Anthony Deighton
Opublikowany: 19.09.2023 -
125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao
Opublikowany: 5.09.2023 -
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective
Opublikowany: 22.08.2023 -
123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill
Opublikowany: 8.08.2023 -
122 - Listener Questions Answered: Conducting Effective Discovery for Data Products with Brian T. O’Neill
Opublikowany: 25.07.2023 -
121 - How Sainsbury’s Head of Data Products for Analytics and ML Designs for User Adoption with Peter Everill
Opublikowany: 11.07.2023 -
120 - The Portfolio Mindset: Data Product Management and Design with Nadiem von Heydebrand (Part 2)
Opublikowany: 27.06.2023 -
119 - Skills vs. Roles: Data Product Management and Design with Nadiem von Heydebrand (Part 1)
Opublikowany: 13.06.2023 -
118 - Attracting Talent and Landing a Role in Data Product Management with Kyle Winterbottom
Opublikowany: 30.05.2023 -
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 -
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
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.
