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
138 Episodio
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036 – How Higher-Ed Institutions are Using AI and Analytics to Better Serve Students with Professor of Learning Informatics and Edtech Expert Simon Bu...
Pubblicato: 07/04/2020 -
035 – Future Ethics Author and Designer Cennydd Bowles Shares Strategies for Designing Ethical Data Products That Benefit Our Business, Community and ...
Pubblicato: 24/03/2020 -
034 – ML & UX: To Augment or Automate? Plus, Rating Overall Analytics Efficacy with Eric Siegel, Ph.D.
Pubblicato: 10/03/2020 -
033 - How Vidant Health’s Data Team Creates Empathetic Data Products and Ethical Machine Learning Models with Greg Nelson
Pubblicato: 25/02/2020 -
032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte
Pubblicato: 11/02/2020 -
031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari
Pubblicato: 28/01/2020 -
030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed
Pubblicato: 14/01/2020 -
029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang
Pubblicato: 31/12/2019 -
028 - Cole Nussbaumer Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action
Pubblicato: 17/12/2019 -
027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot
Pubblicato: 03/12/2019 -
026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation
Pubblicato: 19/11/2019 -
025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren
Pubblicato: 05/11/2019 -
024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.
Pubblicato: 22/10/2019 -
023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor
Pubblicato: 08/10/2019 -
022 - Creating a Trusted Data Science Team That Is Indispensable to the Business with
Pubblicato: 24/09/2019 -
021 - Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of
Pubblicato: 10/09/2019 -
020 - How Human-Centered Design Increases Engagement with Data Science Initiatives
Pubblicato: 27/08/2019 -
019 - The Non-Technical (Human!) Challenges that Can Impede Great Data Science Solutions
Pubblicato: 13/08/2019
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.
