ThinkData Podcast

Most enterprise AI isn’t failing because of the models…
It’s failing because no one trusts the output.
In this episode of the ThinkData Podcast, we’re joined by Uri Knorovich, CEO of Nimble, to unpack the growing trust gap in enterprise AI and why bad, delayed, and fragmented data is becoming the biggest blocker to real AI adoption.
We explore:
• Why AI works in demos but breaks inside enterprises
• The hidden risk of AI outputs without traceable data lineage
• Why trusted, live data infrastructure matters more than model speed
• The shift from “is the AI fast?” to “can we trust the decisions?”
• Real-world examples where AI and live data are already driving value
A great conversation on the future of enterprise AI, data infrastructure, and building systems companies can actually rely on.

On today’s episode, we’re joined by Sadegh Salehi, Director of Research and Principal Scientist at Overjet, a Series C AI-powered dental platform spun out of MIT.
Overjet is using computer vision and AI to analyse dental X-rays, helping dentists, insurers, and patients make more accurate, transparent, and data-driven care decisions.
In this episode, we explore:
• The hardest machine learning challenges in dental imaging
• Building AI systems clinicians and insurers can trust
• Why Overjet expanded from software into hardware
• What it really takes to drive AI adoption inside clinical workflows
• The future of AI in dentistry over the next 5–10 years
A fascinating conversation on applied AI, healthcare infrastructure, trust, and the future of medical imaging.

Most AI today is intelligent… but it doesn’t feel human.
In this episode, I sit down with Vishnu Hari, founder of Ego AI and former AI researcher at Meta, to unpack what’s missing and why “humaneness” might be the biggest unlock in AI.
We cover:
Why AI still feels robotic
The gap between intelligence and behaviour
Why most AI companies are solving the wrong problem
And where the real opportunity sits

If you think AI is already “good enough”, this will challenge that.

Today’s guest is Anjan Kundavaram, Chief Product Officer at Fivetran, a company at the heart of the modern data stack.
In this episode, we unpack one of the biggest questions in AI right now
Who actually controls customer data
We explore what data ownership really means in the age of AI, how API restrictions are shaping what companies can and cannot build, and what happens to innovation if data becomes harder to access
We also dig into how Fivetran thinks about “data freedom” and what enterprises should be doing today to stay ahead
If you are building, investing, or operating in AI, this is one you do not want to miss

In this episode of ThinkData, I sit down with Wiley Jones, CEO and Co-Founder of Doss.
Doss is a Series B, hypergrowth startup rethinking ERP from the ground up. They are building a modern, AI-native operations stack for physical product companies, designed to replace spreadsheets, legacy systems, and slow, painful implementations.
We cover:
Where legacy ERP vendors like NetSuite and SAP have fundamentally missed the mark
Why now is the moment for a new category of operations software
What makes Doss a credible replacement, not just another layer
How AI is actually being applied inside ERP today
Why traditional ERP implementations fail and how Doss is changing that
The hardest product and GTM challenges they are solving right now

If you are building or scaling an operations-heavy business, this is a must-listen.