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:
148 Odcinki
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106 - Ideaflow: Applying the Practice of Design and Innovation to Internal Data Products w/ Jeremy Utley
Opublikowany: 13.12.2022 -
105 - Defining “Data Product” the Producty Way and the Non-technical Skills ML/AI Product Managers Need
Opublikowany: 29.11.2022 -
104 - Surfacing the Unarticulated Needs of Users and Stakeholders through Effective Listening
Opublikowany: 15.11.2022 -
103 - Helping Pediatric Cardiac Surgeons Make Better Decisions with ML featuring Eugenio Zuccarelli of MIT Media Lab
Opublikowany: 1.11.2022 -
102 - CDO Spotlight: The Non-Technical Roles Data Science and Analytics Teams Need to Drive Adoption of Data Products w/ Iván Herrero Bartolomé
Opublikowany: 18.10.2022 -
101 - Insights on Framing IOT Solutions as Data Products and Lessons Learned from Katy Pusch
Opublikowany: 4.10.2022 -
100 - Why Your Data, AI, Product & Business Strategies Must Work Together (and Digital Transformation is The Wrong Framing) with Vin Vashishta
Opublikowany: 20.09.2022 -
099 - Don’t Boil the Ocean: How to Generate Business Value Early With Your Data Products with Jon Cooke, CTO of Dataception
Opublikowany: 6.09.2022 -
098 - Why Emilie Schario Wants You to Run Your Data Team Like a Product Team
Opublikowany: 23.08.2022 -
097 - Why Regions Bank’s CDAO, Manav Misra, Implemented a Product-Oriented Approach to Designing Data Products
Opublikowany: 9.08.2022 -
096 - Why Chad Sanderson, Head of Product for Convoy’s Data Platform, is a Champion of Data UX
Opublikowany: 26.07.2022 -
095 - Increasing Adoption of Data Products Through Design Training: My Interview from TDWI Munich
Opublikowany: 12.07.2022 -
094 - The Multi-Million Dollar Impact of Data Product Management and UX with Vijay Yadav of Merck
Opublikowany: 28.06.2022 -
093 - Why Agile Alone Won’t Increase Adoption of Your Enterprise Data Products
Opublikowany: 14.06.2022 -
092 - How to measure data product value from a UX and business lens (and how not to do it)
Opublikowany: 31.05.2022 -
091 - How Brazil’s Biggest Fiber Company, Oi, Leverages Design To Create Useful Data Products with Sr. Exec. Design Manager, João Critis
Opublikowany: 17.05.2022 -
090 - Michelle Carney’s Mission With MLUX: Bringing UX and Machine Learning Together
Opublikowany: 3.05.2022 -
089 - Reader Questions Answered about Dashboard UX Design
Opublikowany: 19.04.2022 -
088 - Doing UX Research for Data Products and The Magic of Qualitative User Feedback with Mike Oren, Head of Design Research at Klaviyo
Opublikowany: 5.04.2022 -
087 - How Data Product Management and UX Integrate with Data Scientists at Albertsons Companies to Improve the Grocery Shopping Experience
Opublikowany: 22.03.2022
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.
