Today I’m chatting with Osian Jones, Head of Product for the Data Platform at Stuart. Osian describes how impact and ROI can be difficult metrics to measure in a data platform, and how the team at Stuart has sought to answer this challenge. He also reveals how user experience is intrinsically linked to adoption and the technical problems that data platforms seek to solve. Throughout our conversation, Osian shares a holistic overview of what it was like to design a data platform from scratch, the lessons he’s learned along the way, and the advice he’d give to other data product managers taking on similar projects.
Highlights/ Skip to:
044 - The Roles of Product and Design when “Competing in the Age of AI” with HBS Professor and Author Karim Lakhani
043 - What a Product Management Mindset Can do for Data Science and Analytics Leaders with Product School CEO, Carlos González de Villaumbrosia
042 - Why Machine Learning and Analytics Alone Can’t Drive Behavioral Change inside Police Departments with Allison Weil
041 - Data Thinking: An Approach to Using Design Thinking to Maximize the Effectiveness of Data Science and Analytics with Martin Szugat of Datentreib...
040 – Improving Potato Chips and Space Travel: NASA’s Steve Rader on Open Innovation
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
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...
037 – A VC Perspective on AI and Building New Businesses Using Machine Intelligence featuring Rob May of PJC
036 – How Higher-Ed Institutions are Using AI and Analytics to Better Serve Students with Professor of Learning Informatics and Edtech Expert Simon Bu...
035 – Future Ethics Author and Designer Cennydd Bowles Shares Strategies for Designing Ethical Data Products That Benefit Our Business, Community and ...
034 – ML & UX: To Augment or Automate? Plus, Rating Overall Analytics Efficacy with Eric Siegel, Ph.D.
033 - How Vidant Health’s Data Team Creates Empathetic Data Products and Ethical Machine Learning Models with Greg Nelson
032 - How and Why Talented Analytical Minds Leave People Scratching Their Head Around Data with Nancy Duarte
031 - How Design Helps Enable Repeatable Value on AI, ML, and Analytics Projects with Ganes Kesari
030 - Using AI to Recommend Personalized Medical Treatment Options with Joost Zeeuw of Pacmed
029 - Why Google Believes it’s Critical to Pair Designers with Your Data Scientists to Produce Human-Centered ML & AI Products with Di Dang
028 - Cole Nussbaumer Knaflic On Data Storytelling, DataViz, and Why Your Data May Not Be Inspiring Action
027 - Balancing Your Inner Data Science Nerd While Becoming a Trusted Business Advisor and Strategist with Angela Bassa of iRobot
026 - Why Tom Davenport Gives a 2 out of 10 Score To the Data Science and Analytics Industry for Value Creation
025 - Treating Data Science at IDEO as a Discipline of Design with Dean Malmgren
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