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

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

Martedì

Categorie:

Economia Arte Tecnica

138 Episodio

  1. 056 - How Design Helps Drive Adoption of Data Products Used for Social Work with Chief Data Officer Dr. Besa Bauta of MercyFirst

    Pubblicato: 12/01/2021

  2. 055 - What Can Carol Smith’s Ethical AI Work at the DoD Teach Us About Designing Human-Machine Experiences?

    Pubblicato: 29/12/2020

  3. 054 - Jared Spool on Designing Innovative ML/AI and Analytics User Experiences

    Pubblicato: 15/12/2020

  4. 053 - Creating (and Debugging) Successful Data Product Teams with Jesse Anderson

    Pubblicato: 01/12/2020

  5. 052 - Reasons Automated Decision Making with Machine Learning Can Fail with James Taylor

    Pubblicato: 17/11/2020

  6. 051 - Methods for Designing Ethical, Human-Centered AI with Undock Head of Machine Learning, Chenda Bunkasem

    Pubblicato: 03/11/2020

  7. 050 - Ways to Practice Creativity and Foster Innovation When You’re An Analytical Thinker

    Pubblicato: 20/10/2020

  8. 049 - CxO & Digital Transformation Focus: (10) Reasons Users Can’t or Won’t Use Your Team’s ML/AI-Driven Software and Analytics Applications

    Pubblicato: 06/10/2020

  9. 048 - Good vs. Great: (10) Things that Distinguish the Best Leaders of Intelligent Products, Analytics Applications, and Decision Support Tools

    Pubblicato: 22/09/2020

  10. 047 - How Yelp Integrates Data Science, Engineering, UX, and Product Management when Creating AI Products with Yelp’s Justin Norman

    Pubblicato: 08/09/2020

  11. 046 - How Steelcase’s Data Science, UX, & Product Teams Are Helping Customers Design Safer Office Workplaces Informed by Covid-19 Recommendations w/ J...

    Pubblicato: 25/08/2020

  12. 045 - Healthcare Analytics…or Actionable Decision Support Tools? Leadership Strategies from Novant Health’s SVP of Data Products, Karl Hightower

    Pubblicato: 11/08/2020

  13. 044 - The Roles of Product and Design when “Competing in the Age of AI” with HBS Professor and Author Karim Lakhani

    Pubblicato: 28/07/2020

  14. 043 - What a Product Management Mindset Can do for Data Science and Analytics Leaders with Product School CEO, Carlos González de Villaumbrosia

    Pubblicato: 14/07/2020

  15. 042 - Why Machine Learning and Analytics Alone Can’t Drive Behavioral Change inside Police Departments with Allison Weil

    Pubblicato: 30/06/2020

  16. 041 - Data Thinking: An Approach to Using Design Thinking to Maximize the Effectiveness of Data Science and Analytics with Martin Szugat of Datentreib...

    Pubblicato: 16/06/2020

  17. 040 – Improving Potato Chips and Space Travel: NASA’s Steve Rader on Open Innovation

    Pubblicato: 02/06/2020

  18. 039 – How PEX Fingerprinted 20 Billion Audio and Video Files and Turned It Into a Product to Help Musicians, Artists and Creators Monetize their Work

    Pubblicato: 19/05/2020

  19. 038 – (Special Co-Hosted Episode) Brian and Mark Bailey Discuss 10 New Design and UX Considerations for Creating ML and AI-Driven Products and Applica...

    Pubblicato: 05/05/2020

  20. 037 – A VC Perspective on AI and Building New Businesses Using Machine Intelligence featuring Rob May of PJC

    Pubblicato: 21/04/2020

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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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