Experiencing Data w/ Brian T. O’Neill - Data Products, Product Management, & UX Design
Technology Podcasts
If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? 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 designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Location:
Cambridge, MA
Genres:
Technology Podcasts
Description:
If you’re a leader tasked with generating business and org. value through ML/AI and analytics, you’ve probably struggled with low user adoption. Making the tech gets easier, but getting users to use, and buyers to buy, remains difficult—but you’ve heard a ”data product” approach can help. Can it? 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 designer’s perspective on why creating ML and analytics outputs isn’t enough to create business and UX outcomes. How can UX design and product management help you create innovative ML/AI and analytical data products? What exactly are data products—and how can data product management help you increase user adoption of ML/analytics—so that stakeholders can finally see the business value of your data? Every 2 weeks, I answer these questions via solo episodes and interviews with innovative chief data officers, data product management leaders, and top UX professionals. Hashtag: #ExperiencingData. PODCAST HOMEPAGE: Get 1-page summaries, text transcripts, and join my Insights mailing list: https://designingforanalytics.com/ed ABOUT THE HOST, BRIAN T. O’NEILL: https://designingforanalytics.com/bio/
Twitter:
@rhythmspice
Language:
English
Contact:
12105384237
142 - Live Webinar Recording: My UI/UX Design Audit of a New Podcast Analytics Service w/ Chris Hill (CEO, Humblepod)
Duration:00:50:56
141 - How They’re Adopting a Producty Approach to Data Products at RBC with Duncan Milne
Duration:00:43:49
140 - Why Data Visualization Alone Doesn’t Fix UI/UX Design Problems in Analytical Data Products with T from Data Rocks NZ
Duration:00:42:44
139 - Monetizing SAAS Analytics and The Challenges of Designing a Successful Embedded BI Product (Promoted Episode)
Duration:00:51:02
138 - VC Spotlight: The Impact of AI on SAAS and Data/Developer Products in 2024 w/ Ellen Chisa of BoldStart Ventures
Duration:00:33:05
137 - Immature Data, Immature Clients: When Are Data Products the Right Approach? feat. Data Product Architect, Karen Meppen
Duration:00:44:50
136 - Navigating the Politics of UX Research and Data Product Design with Caroline Zimmerman
Duration:00:44:16
135 - “No Time for That:” Enabling Effective Data Product UX Research in Product-Immature Organizations
Duration:00:52:47
134 - What Sanjeev Mohan Learned Co-Authoring “Data Products for Dummies”
Duration:00:46:52
133 - New Experiencing Data Interviews Coming in January 2024
Duration:00:02:33
132 - Leveraging Behavioral Science to Increase Data Product Adoption with Klara Lindner
Duration:00:42:56
131 - 15 Ways to Increase User Adoption of Data Products (Without Handcuffs, Threats and Mandates) with Brian T. O’Neill
Duration:00:36:57
130 - Nick Zervoudis on Data Product Management, UX Design Training and Overcoming Imposter Syndrome
Duration:00:48:56
129 - Why We Stopped, Deleted 18 Months of ML Work, and Shifted to a Data Product Mindset at Coolblue
Duration:00:35:21
128 - Data Products for Dummies and The Importance of Data Product Management with Vishal Singh of Starburst
Duration:00:53:01
127 - On the Road to Adopting a “Producty” Approach to Data Products at the UK’s Care Quality Commission with Jonathan Cairns-Terry
Duration:00:36:55
126 - Designing a Product for Making Better Data Products with Anthony Deighton
Duration:00:47:38
125 - Human-Centered XAI: Moving from Algorithms to Explainable ML UX with Microsoft Researcher Vera Liao
Duration:00:44:42
124 - The PiCAA Framework: My Method to Generate ML/AI Use Cases from a UX Perspective
Duration:00:21:51
123 - Learnings From the CDOIQ Symposium and How Data Product Definitions are Evolving with Brian T. O’Neill
Duration:00:27:17