Listen Score
LS 40
Global Rank
TOP 2%

ABOUT THIS PODCAST 🔗

Update frequency:
biweekly
Average audio length:
41 minutes
Guest interviews
Has sponsors
English
United States
207 episodes
since Nov. 21, 2018
episodic

AUDIENCE OF THIS PODCAST 🔗

~97.36% of listeners are from United States.
🇺🇸
US
97.36%
🇦🇺
AU
0.82%
🇸🇬
SG
0.51%
🇬🇧
GB
0.17%
🇵🇭
PH
0.17%
🇮🇳
IN
0.10%
Others
0.87%
* Data source: directly measured on Listen Notes. real-time

LATEST EPISODE 🔗

Yoni Leitersdorf's company, Solid, sells a semantic layer: the plumbing that helps AI agents understand an enterprise's data well enough to do effective, valuable work that passes a customer's evals. As platform software, this is about as invisible as a product gets, and by Yoni's count there are p…

SEARCH PAST EPISODES

Search past episodes of Experiencing Data w/ Brian T. O’Neill.

PREVIOUS EPISODES

Logan Havern's company, Datalogz, sits on top of an enterprise's BI platforms (Power BI, Tableau, Qlik, Databricks Genie, and the SharePoint spreadsheets nobody admits to) and finds the duplicated, conflicting, and unused reports that AI is now generating faster than anyone can clean up. At one lar…
What happens when your product team suddenly moves six times faster at delivering features, but your sales and business traction is unchanged? AI, and particularly AI for coding, has made it easier than ever to ship features, but faster development doesn’t automatically create better products or be…
What makes an analytics or intelligence product indispensable when technical sophistication alone isn’t enough to drive adoption, renewals, or sales? Why do POCs stall, why does adoption stay flat, and why aren’t prospects nearly as excited about your (impressive) analytics tech as you are?      …
Recently, I met David Krauza, VP of Enterprise Data Strategy and Products & Governance at Comcast, at the 2026 CDOIQ symposium, and after chatting for a bit, he agreed to come on the show to talk about how he, as an enterprise buyer, thinks about B2B software purchases in the age of AI. As vibe…
I'm talking to Nishkam Prabodh of Venture Guides, an early-stage venture capital firm focused on infrastructure software, cybersecurity, and data. Nishkam explains why strong technology alone rarely determines whether a startup succeeds. Many technical founders struggle when transitioning from foun…
I’m talking to Bhaskar Sunkara, CEO of bicycle.AI, which provides an AI analyst product designed to monitor revenue-critical KPIs, investigate the business and technical drivers behind KPI changes, and take a “governed next step.” Bhaskar explains why analytics products often fail when they overwhe…
Today, I'm talking to Rana Gujral, CEO of Behavioral Signals, which provides AI that interprets human behavioral cues in speech to help route call center conversations more effectively, improve customer service performance, and detect voice-based fraud. Their moat is a decade of voice data tied to …
Everyone is racing to the same place chasing a limited set of buyers—how will your “AI for BI” product stand out? I've been seeing teams heavily invest in copilots, agents, semantic layers, governance frameworks, and increasingly sophisticated models, yet many still hear the same feedback from sale…
I've been seeing a recurring pattern with companies selling APIs, MCPs, data feeds, and other developer-focused AI products. While the technology is often sound if not impressive, sales momentum sometimes slows when prospects have to imagine how the product will create value in their own environmen…
Disclaimer: The podcast and artwork embedded on this page are from Brian T. O’Neill from Designing for Analytics, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.