Experiencing Data with Brian T. O'Neill

By Brian T. O'Neill from Designing for Analytics

How do you create innovative machine learning and analytics products? Brian T. O’Neill reveals the strategies and activities that CxOs and innovative leaders in technical product management, data science and analytics are using to deliver indispensable experiences around data. From traditional analytics to machine learning and AI, Brian and his guests explore how extraordinary value can be created when the outputs of data science and analytics are turned into engaging, valuable decision support applications and user experiences centered around the humans in the loop. Experiencing Data also features special guests on design, ethics, explainable AI (XAI), and innovation who relate their expertise to the world of data-driven software. If you're in charge of creating simple, valuable, human-centered data products that produce business value in the last mile, you'll enjoy #ExperiencingData. Transcripts available at: https://designingforanalytics.com/ed ABOUT THE HOST Brian T. O’Neill is ...

  1. 1.
    070 - Fighting Fire with ML, the AI Incident Database, and Why Design Matters in AI-Driven Software with Sean McGregor
    34:38
  2. 2.
    069 - The Role of Creativity and Product Thinking in Data Monetization with ‘Infonomics’ Author Doug Laney
    34:09
  3. 3.
    068 - Why User Adoption of Enterprise Data Products Continues to Lag with International Institute for Analytics Executive VP Drew Smith
    52:07
  4. 4.
    067 - Why Roche Diagnostics’ BI and Data Science Teams Are Adopting Human-Centered Design and UX featuring Omar Khawaja
    35:10
  5. 5.
    066 - How Alison Magyari Used Design Thinking to Transform Eaton’s Business Analytics Approach to Creating Data Products
    30:28
  6. 6.
    065 - Balancing Human Intuition and Machine Intelligence with Salesforce Director of Product Management Pavan Tumu
    30:50
  7. 7.
    064 - How AI Shapes the Products of Startups in MIT’s “Tough Tech” Venture Fund, The Engine feat. General Partner, Reed Sturtevant
    28:58
  8. 8.
    063 - Beyond Compliance: Designing Data Products With Data Privacy As a UX Benefit with The Data Diva (Debbie Reynolds)
    37:46
  1. 9.
    062 - Why Ben Shneiderman is Writing a Book on the Importance of Designing Human-Centered AI
    40:44
  2. 10.
    061 - Applying a Product Mindset to Internal Data Products with Silicon Valley Product Group Partner Marty Cagan
    36:39
  3. 11.
    060 - How NPR Uses Data to Drive Editorial Decisions in the Newsroom with Sr. Dir. of Audience Insights Steve Mulder
    36:52
  4. 12.
    059 - How Design Thinking Helps Organizations and Data Science Teams Create Economic Value with Machine Learning and Analytics feat. Bill Schmarzo
    42:22
  5. 13.
    058 - IoT Spotlight: 8 UI / UX Strategies for Designing Indispensable Monitoring Applications
    34:19
  6. 14.
    057 - How to Design Successful Enterprise Data Products When You Have Multiple User Types to Satisfy
    56:04
  7. 15.
    056 - How Design Helps Drive Adoption of Data Products Used for Social Work with Chief Data Officer Dr. Besa Bauta of MercyFirst
    38:24
  8. 16.
    055 - What Can Carol Smith’s Ethical AI Work at the DoD Teach Us About Designing Human-Machine Experiences?
    38:25
  9. 17.
    054 - Jared Spool on Designing Innovative ML/AI and Analytics User Experiences
    41:10
  10. 18.
    053 - Creating (and Debugging) Successful Data Product Teams with Jesse Anderson
    38:42
  11. 19.
    052 - Reasons Automated Decision Making with Machine Learning Can Fail with James Taylor
    43:14
  12. 20.
    051 - Methods for Designing Ethical, Human-Centered AI with Undock Head of Machine Learning, Chenda Bunkasem
    28:18
  13. 21.
    050 - Ways to Practice Creativity and Foster Innovation When You’re An Analytical Thinker
    35:09
  14. 22.
    049 - CxO & Digital Transformation Focus: (10) Reasons Users Can’t or Won’t Use Your Team’s ML/AI-Driven Software and Analytics Applications
    39:13
  15. 23.
    048 - Good vs. Great: (10) Things that Distinguish the Best Leaders of Intelligent Products, Analytics Applications, and Decision Support Tools
    36:21
  16. 24.
    047 - How Yelp Integrates Data Science, Engineering, UX, and Product Management when Creating AI Products with Yelp’s Justin Norman
    41:22
  17. 25.
    046 - How Steelcase’s Data Science, UX, & Product Teams Are Helping Customers Design Safer Office Workplaces Informed by Covid-19 Recommendations w/ J...
    49:41
  18. 26.
    045 - Healthcare Analytics…or Actionable Decision Support Tools? Leadership Strategies from Novant Health’s SVP of Data Products, Karl Hightower
    42:48
  19. 27.
    044 - The Roles of Product and Design when “Competing in the Age of AI” with HBS Professor and Author Karim Lakhani
    49:10
  20. 28.
    043 - What a Product Management Mindset Can do for Data Science and Analytics Leaders with Product School CEO, Carlos González de Villaumbrosia
    48:50
  21. 29.
    042 - Why Machine Learning and Analytics Alone Can’t Drive Behavioral Change inside Police Departments with Allison Weil
    38:26
  22. 30.
    041 - Data Thinking: An Approach to Using Design Thinking to Maximize the Effectiveness of Data Science and Analytics with Martin Szugat of Datentreib...
    43:18
  23. 31.
    040 – Improving Potato Chips and Space Travel: NASA’s Steve Rader on Open Innovation
    59:34
  24. 32.
    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
    43:17
  25. 33.
    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...
    1:00:25
  26. 34.
    037 – A VC Perspective on AI and Building New Businesses Using Machine Intelligence featuring Rob May of PJC
    48:11
  27. 35.
    036 – How Higher-Ed Institutions are Using AI and Analytics to Better Serve Students with Professor of Learning Informatics and Edtech Expert Simon Bu...
    44:48
  28. 36.
    035 – Future Ethics Author and Designer Cennydd Bowles Shares Strategies for Designing Ethical Data Products That Benefit Our Business, Community and ...
    46:49
  29. 37.
    034 – ML & UX: To Augment or Automate? Plus, Rating Overall Analytics Efficacy with Eric Siegel, Ph.D.
    35:02
  30. 38.
    033 - How Vidant Health’s Data Team Creates Empathetic Data Products and Ethical Machine Learning Models with Greg Nelson
    40:52
  31. 39.
    032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte
    39:05
  32. 40.
    031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari
    39:55
  33. 41.
    030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed
    51:16
  34. 42.
    029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang
    44:22
  35. 43.
    028 - Cole Nussbaumer Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action
    49:05
  36. 44.
    027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot
    46:08
  37. 45.
    026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation
    47:19
  38. 46.
    025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren
    39:18
  39. 47.
    024 - How Empathy Can Reveal a 60%-Accurate Data Science Solution is a Solid Customer Win with David Stephenson, Ph.D.
    34:52
  40. 48.
    023 - Balancing AI-Driven Automation with Human Intervention When Designing Complex Systems with Dr. Murray Cantor
    49:00
  41. 49.
    022 - Creating a Trusted Data Science Team That Is Indispensable to the Business with
    51:24
  42. 50.
    021 - Turning Complex Cloud IT Data Into Useful Decision Support Info with John Purcell of
    42:09

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