ThinkData Podcast

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.

Healthcare is broken… but not in the way most people think.
Admin costs have passed $1 trillion annually, pulling doctors away from what actually matters, patient care.
In this episode, we sit down with Jaymal Sony, Co-Founder of Insight Health, a company using AI to transform independent healthcare.
Their approach is simple
Automate the admin
Reduce the noise
Give doctors their time back

We go deep on:
Where the healthcare system is really failing today
The technical breakthroughs behind voice AI speaking directly to patients
What clinics are actually doing when they adopt AI
Why was Insight Health built by both clinicians and technologists
Who really buys AI in healthcare and what makes them say yes

This is not about replacing doctors
It is about making them more effective

Today’s guest is Dave Shuman, Chief Data Officer at Precisely.
Precisely is a global leader in data integrity, helping organisations trust, manage and maximise their data so they can power better decisions, analytics and AI at scale.
Despite the explosion of AI investment, many organisations are still struggling to turn AI ambition into measurable business outcomes, and in this episode, we explore why.
Dave shares insights from Precisely’s 2026 State of Data Integrity and AI Readiness report, and explains why so many companies believe AI is aligned to business goals, yet only a small percentage actually link those initiatives to real KPIs.
We discuss:
• Why most AI initiatives fail to deliver measurable results
• Where the disconnect between AI strategy and execution really begins
• What the 2026 Data Integrity report reveals about enterprise AI readiness
• How organisations can turn AI confidence into real operational capability
• Whether the Chief Data Officer should be a data custodian or a business strategist
If you are building data platforms, scaling AI initiatives, or leading data strategy inside an organisation, this conversation is packed with insights.

Today I’m joined by Jason Li, CTO at Laurel.
Jason previously served as CTO at Ironclad, where he spent nearly a decade building contracting software, and also held engineering leadership roles at SalesforceIQ and Grovo.
Laurel is a Series C AI-powered time intelligence platform for professional services firms, automatically capturing how professionals spend their time and transforming that data into actionable insights that improve efficiency and profitability.
In this episode, we discuss:
• Why most firms still struggle to measure real AI ROI
• The hidden inefficiencies in how professional services firms track time
• What it actually takes to build reliable AI systems inside complex legacy environments
• The biggest mistakes organisations make when adopting AI tools
• How engineering teams are evolving in an AI-first world
If you’re building, buying, or deploying AI inside large organisations, this episode is packed with practical insight.

In this episode of ThinkData, Loren Larsen, CEO and Co-Founder of Videra Health, joins us to explore how AI is being applied in behavioral health beyond chatbots.
Videra’s platform analyzes video, audio, and text to help clinicians detect and monitor mental health risk between visits, enabling earlier intervention and better outcomes without disrupting workflows.
We discuss ROI, responsible growth, the future of AI in healthcare, and what most people misunderstand about behavioral health innovation.