Experiencing Data w/ Brian T. O’Neill (AI & data product management leadership—powered by UX design)
Brian T. O’Neill from Designing for AnalyticsIs the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harde... more
| Publishes | Twice monthly | Episodes | 100 | Founded | 7 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | BusinessTechnologyManagement | |||
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Latest Episodes
In this episode, I sat down with tech humanist Kate O’Neill to explore how organizations can balance human-centered design in a time when everyone is racing to find ways to leverage AI in their businesses. Kate introduced her “Now–Next Continuum,” a ... more
In this episode, I talk with Ilya Preston, co-founder and CEO of PAXAFE, a logistics orchestration and decision intelligence platform for temperature-controlled supply chains (aka “cold chain”). Ilya explains how PAXAFE helps companies shipping sensi... more
This is part two of the framework; if you missed part one, head to episode 175 and start there so you're all caught up.
In this episode of Experiencing Data, I continue my deep dive into the MIRRR UX Framework for designing trustworthy agentic AI ap... more
In this episode of Experiencing Data, I introduce part 1 of my new MIRRR UX framework for designing trustworthy agentic AI applications—you know, the kind that might actually get used and have the opportunity to create the desired business value ever... more
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- A Must-Listen for Data Product Designers and Analytics Enthusiasts
If you’re in the world of data product design, analytics, or decision science, Brian T. O’Neill’s Designing for Analytics podcast is a goldmine of insights. It’s one of the few—if not the only—podcasts dedicated to the intersection of design, user experience, and data-driven products.
Brian’s deep expertise and ability to distill complex topics into engaging discussions make each episode valuable, whether you're a designer, data scientist, or product leader. His interviews with industry experts... more
Apple Podcasts5Jemoraz
Spain6 months ago - Be engaged understand the positive difference UX makes!
I have found that Brian T. O’Neill always has insightful and engaging guests on his podcast. It is a great topic space as user experience and service design are greatly under-valued and under-appreciated in the Data and AI spaces > they make such a positive impact in use and experience (my perspective). Do yourself a favour and listen to ‘Experiencing Data’.
Apple Podcasts5p gimme
Australiaa year ago - Excellent analysis, exceptional design
Brian is bringing it home with this podcast. I initially found the show as a result of my interests in UX design and data analytics. The podcast on UI/UX with LLMs is spot on. Highly recommended.
Apple Podcasts5JMDien
United Statesa year ago - Time well spent
I met Brian a year ago at a CDO workgroup meeting and was immediately taken with his thinking around how to best leverage data and communicate actionable insights.
Apple Podcasts5Adam-from-TexasUnited Statesa year ago - Very useful convo
If you're in Data Product, you really need to listen to this pod
For example, episode 145 is all about adopting a client-centric approach. Seems obvious, but are most organisations' data teams doing it? Not so much.
I especially liked when they were discussing how data teams often try to crowbar their products onto users. Pod guest Malcolm Hawker comes up with a hilarious analogy of HR or Procurement insisting on user training so the users would finally "get it" 🤣🤣 It's around minute 00:28 ... more
Apple Podcasts5Quantoidb
Canadaa year ago
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Apple Podcasts | #207 |  United Kingdom/Technology |
Apple Podcasts | #100 |  South Korea/Technology |
Apple Podcasts | #126 |  Saudi Arabia/Technology |
Apple Podcasts | #214 |  Netherlands/Technology |
Apple Podcasts | #231 |  Japan/Technology |
Apple Podcasts | #234 |  Sweden/Technology |
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Frequently Asked Questions About Experiencing Data w/ Brian T. O’Neill
What is Experiencing Data w/ Brian T. O’Neill about and what kind of topics does it cover?
The episodes focus on the dynamics of user experience (UX) and product management in the realms of AI and analytics, exploring how effective design can drive user adoption of technology and data products. Topics like building trust in AI applications, overcoming challenges in data product management, and the importance of user-centered design practices are recurrent themes. The podcast features insights from industry experts who share their experiences and strategies to create impactful software solutions that bridge the gap between advanced analytics and real-world usability, making it a valuable resource for professionals seeking to enhance their products' success in the market.
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How many listeners does Experiencing Data w/ Brian T. O’Neill get?
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Which podcasts are similar to Experiencing Data w/ Brian T. O’Neill?
These podcasts share a similar audience with Experiencing Data w/ Brian T. O’Neill:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. DataFramed
3. Practical AI
4. Y Combinator Startup Podcast
5. NVIDIA AI Podcast
How many episodes of Experiencing Data w/ Brian T. O’Neill are there?
Experiencing Data w/ Brian T. O’Neill launched 7 years ago and published 100 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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What guests have appeared on Experiencing Data w/ Brian T. O’Neill?
Recent guests on Experiencing Data w/ Brian T. O’Neill include:
1. Kate O'Neill
2. Ilya Preston
3. Irina Malkova
4. Todd Olson
5. Shri Santhanam
6. Stuart Winter-Tear
7. Adam Berke
8. Anna Jacobson
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.