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

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.

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.

1. Their approach is simple
2. Automate the admin
3. Reduce the noise
4. Give doctors their time back

We go deep on:

1. Where the healthcare system is really failing today
2. The technical breakthroughs behind voice AI speaking directly to patients
3. What clinics are actually doing when they adopt AI
4. Why was Insight Health built by both clinicians and technologists
5. 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

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.

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.

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.

While most of the industry obsesses over bigger models and more compute, Poseidon is tackling the real bottleneck: access to rare, high-quality, IP-safe data that can’t be scraped, copied, or faked.

With billions being poured into data centres and revenue growth starting to slow across parts of the AI ecosystem, are we heading for an industry shake-out?

In this episode, we unpack:

• Why more leaders believe the future of AI won’t live solely in hyperscale data centres

• Whether the cloud-only AI model is starting to fracture

• What “edge AI” actually means for real businesses

• Why data quality and trust now matter more than raw volume

• Why scraped internet data is no longer enough

• What executives should truly be paying attention to over the next 3–5 years

• What will separate AI winners from the hype

This is a must-listen for founders, investors, operators, and anyone trying to understand where AI is really heading next.

In this episode of the ThinkData Podcast, I sat down with Josh Haimson, Co-Founder and CEO of Inductive Bio, to explore how AI-driven virtual chemistry labs are transforming drug discovery.

We cover:

1. Where AI truly outperforms traditional approaches in drug development
2. Why computational models are finally earning real trust from scientists
3. What Inductive Bio’s Series A unlocked, and how they’re balancing speed vs depth
4. The role of industry partnerships and early adopters in shaping the platform
5. Where are the biggest AI opportunities in drug discovery over the next 3–5 years

A grounded, technical, and refreshingly honest conversation about the future of AI-powered therapeutics.

It struggles because of admin.

In this episode of the ThinkData Podcast, I sit down with Matt Faustmen, Co-Founder and CEO of Honey Health, to explore why back-office operations are the real constraint in modern healthcare, and how autonomous AI agents can finally unblock them.

We talk about:

1. Why EHR add-ons and traditional automation fall short
2. How Honey Health decided which customers to go after first, and what they got wrong
3. What makes AI agents fundamentally different from workflow tools
4. Where Honey’s real competitive advantage comes from
5. And the company Matt is actually trying to build over the next five years

This is a grounded, operator-level conversation about building AI for real systems, real constraints, and real outcomes, not demos.

If you’re building in healthtech, AI infrastructure, or regulated industries, this one’s worth your time.

In this episode of the ThinkData Podcast, Mike Choi, Co-Founder of Koah Labs, shares how AI products can generate revenue without destroying user experience or trust.

We explore why classic ad models fail in chat-based interfaces, what it takes to convince AI builders and advertisers to adopt new monetisation approaches, and how advertising inside GenAI products will evolve over the next few years.

If you’re building, funding, or scaling an AI product, this episode is a must-listen.

🧠 Topics Covered

1. Why most AI apps struggle to monetise sustainably
2. The origin story behind Koah Labs
3. Why traditional advertising breaks in chat-based products
4. How to monetise AI without harming user experience
5. Convincing AI founders and advertisers to embrace new models
6. The future of advertising in GenAI over the next 2–3 years
7. Ethics, privacy, and trust in AI-powered ad systems

We explore Ilya’s unconventional journey from Juilliard to Goldman Sachs to venture capital, and ultimately to founding Craft, as well as why traditional data tools fall short when it comes to real-time supplier risk.

From government to healthcare, we dive into how leading organizations are using Craft to anticipate disruption, assess supplier exposure, and make faster, more confident decisions in an increasingly volatile world.

Arjun previously led design on the Uber for Drivers app, an experience that gave him first-hand insight into how broken tools, poor communication, and rigid systems impact people who don’t sit at desks all day.

Teambridge is building a single operating system for frontline teams: combining scheduling, communication, workflows, and real-time insights into one intelligent platform. Their mission is simple but powerful, make managing people easier and make work better for the people doing it.

In this episode, we explore why frontline workers have been overlooked by technology, how AI can genuinely improve shift-based work, and where the biggest opportunities lie over the next few years.

🧠 Topics We Cover

1. The lightbulb moment behind Teambridge, and how Uber for Drivers inspired the idea
2. Why most AI tools still ignore frontline and hourly workers
3. How Teambridge applies AI to scheduling, communication, and workflows
4. The hardest challenges in scaling a two-sided workforce platform
5. Where AI will have the biggest impact on frontline work next

In simple terms, FinalSpark is exploring a new form of biocomputing that replaces silicon with real brain cells. This conversation dives into what that actually means, why it matters, and what it could unlock for the future of computation, energy efficiency, and AI.

This is a genuinely mind-bending episode that sits at the intersection of neuroscience, computing, ethics, and deep tech innovation.

Key Topics Covered

1. What FinalSpark is building and why biocomputing represents a radical shift from silicon-based systems
2. What drew Ewelina to FinalSpark’s mission and long-term vision
3. Early challenges in building a biocomputing platform and how close the company is to true product-market fit
4. Feedback from early users and adopters working with neuron-based computing
5. The biggest technical and operational hurdles to scaling living neuron infrastructure
6. How FinalSpark differentiates itself in the emerging biocomputing space
7. The company’s long-term vision over the next 5 to 10 years and how it plans to fund and execute that roadmap

Why This Episode Matters

Biocomputing is no longer science fiction. As traditional computing approaches physical and energy limits, FinalSpark is exploring an entirely new paradigm. This episode offers a rare, grounded look at what it really takes to turn breakthrough science into a commercial platform.

NeuraLight’s eye-tracking technology is already being deployed in clinical trials, where it has shown the ability to be up to 10× more sensitive than existing neurological assessment tools.

In this conversation, we explore how AI-driven biomarkers are reshaping neurology, the realities of working with pharma and clinical trial teams, and what it takes to build and scale a scientifically rigorous healthtech company.

This episode is a deep dive into where AI meets neuroscience, and why better data could change patient outcomes at scale.

🎯 Key Topics Covered

The original vision behind NeuraLight and how it has evolved

Balancing scientific rigour with commercial scale in healthtech

How pharma and clinical trial teams are using NeuraLight today

The realities of deploying AI inside hospitals and trials

What “success” looks like in neurological biomarkers over the next 3–5 years

After seven years in finance, from derivatives trading to risk analytics at Deutsche Bank, Chandini made the bold decision to leave the world of corporate stability to build Auquan.

Today, the company is helping financial institutions use AI to extract meaning, insight, and structure from the huge volumes of data they rely on.

We talked through:

• The origin of Auquan and the moment the idea clicked
• Why AI is so challenging to deploy in finance
• The dynamics of co-founding a company with a sibling
• How Auquan’s mission evolved as they learned more about customer pain points
• The values guiding her leadership style

A sharp, honest discussion on building in one of the most demanding industries.

Folia was born from a deeply personal experience within Nell’s own family, where traditional healthcare systems failed to capture the nuance of day-to-day patient life. Today, Folia turns those everyday observations into structured, research-ready data that clinicians, researchers, and families can actually act on.

We explore:

• The founding story and how personal lived experience shaped Folia’s mission

• What makes Folia different from traditional patient-tracking or EPRO tools

• Why AI is only as powerful as the underlying data, and how Folia closes the real-world data gap

• How the team has scaled headcount and capability following their Series A

• How Mosaic is giving patients unprecedented control over research participation

• The future of AI-driven, patient-led insights

This conversation is a must-listen for anyone working in digital health, AI, chronic condition management, or patient-reported outcomes.

In this episode, we explore:

1. How Canary Speech was founded and where the idea came from
2. Why holding 14 patents in vocal biomarker technology is such a competitive advantage
3. How Canary ensures clinical-grade safety, trust, and bias mitigation in AI healthcare tools
4. The latest innovations in aggression detection, neurological disorders & behavioural health
5. How global regulation (U.S. vs Europe vs Asia) shapes adoption speed in healthcare AI

If you’re interested in AI, healthcare, digital biomarkers, clinical innovation, or the future of diagnostics, this episode is a must-listen.

We dived into:

• The spark behind founding Assembled

• The misconception around AI “replacing” roles

• Key differences between U.S. and European adoption of AI

• How agentic AI could reshape frontline support

• What CX and CS teams must prepare for over the next 3–5 years

A must-listen for anyone building in AI, customer operations, or scaling support teams globally.

We explored how Augment is transforming one of the world’s most operationally challenging industries, what it takes to build reliable automation that humans actually trust, and the lessons Art has learned scaling a fast-growing AI startup from the ground up.

Episode Outline / Talking Points

• The origin of Augment — what inspired the creation of an AI teammate for logistics.
• Finding product–market fit — the early signals that proved Augment was solving a real pain point.
• Building trust in automation — how to win over operators in a traditional, process-heavy industry.
• Scaling the team and tech — balancing rapid growth with product reliability.
• Short-term vs. long-term AI innovation — how Augment prioritizes both.
• Key customer moments — wins that validated the company’s vision
• The future of logistics — the AI breakthroughs that will reshape the industry over the next 3–5 years.

We explore how Smartling builds trust in AI, what helped them achieve product-market fit, and how they maintain leadership in one of the most competitive spaces in tech.

🧠 Key Talking Points

• How Smartling combines human linguistic expertise with AI to improve translation quality
• Building customer trust through transparency, explainability, and real results
• The “aha” moments that proved Smartling’s AI-powered tools worked at scale
• Lessons in scaling trust across enterprise customers and global markets
• What it takes to stay differentiated amid a flood of new AI translation tools
• Olga’s perspective on the next frontier of language AI

We explore how AI and data are driving breakthroughs in oncology — from uncovering insights in patient records to shaping fairer, safer, and more global cancer research.

🔍 In this episode, we cover:

🧠 AI in Cancer Research — How Flatiron is using AI to analyze patient records, uncover new patterns, and accelerate clinical understanding.

⚖️ Avoiding Bias — The steps taken to ensure AI models in oncology are fair, representative, and clinically trustworthy.

🌍 Global Data Collaboration — Why diverse, real-world datasets from hospitals worldwide are critical for improving cancer outcomes.

🔒 Balancing Innovation & Safety — How Flatiron protects patient privacy and data ethics while pushing the boundaries of AI innovation.

🚀 The Future of Flatiron — What’s next for AI-powered oncology research, and how global collaboration is reshaping cancer care.

If you’re interested in the intersection of AI, real-world data, and life sciences, this episode offers a rare inside look at how Flatiron Health is changing the landscape of cancer research, responsibly and at scale.

We talk about her journey from NASA to startup life, how she validated early demand for Waterlily, and what it’s really like building a company (and marriage) in parallel with her partner, Evan.

In this episode, I cover

• What Waterlily is and how the idea first came about
• How Lily validated demand early and identified signs of product-market fit
• How she cuts through the AI hype when speaking with investors and partners
• The story behind formalizing the co-founder dynamic with Evan
• How do they balance startup life and marriage, and what communication rituals help
• What Lily had to unlearn as a first-time founder once traction started building
• Her approach to hiring and what great talent looks like in caretech
• Why the mission behind long-term care planning matters more than ever

Chris has led some of the most recognized companies at the intersection of healthcare, benefits, and technology, and is now at the forefront of using AI and data to personalize care at scale.

We talk about:

💡 How Personify Health is reimagining employee wellbeing through data-driven personalization

🤖 The rise of digital “doppelgangers”, and how they’re improving engagement and outcomes

⚙️ What it takes to unite teams and culture after a major merger and rebrand

🚀 The balance between innovation and operational discipline at scale

🌍 The future of employer-led healthcare and Personify’s vision for what comes next

If you’re interested in how data is redefining healthtech, benefits, and workplace wellbeing, this one’s for you.

We dive into Patrick’s path from Google Duplex to healthtech, and explore how Faro is rethinking clinical trials, making them faster, more affordable, and trusted by researchers, doctors, and regulators.

We cover:

• What drew Patrick into healthtech and the vision behind Faro
• How Google Duplex shaped his view of AI in healthcare
• Why clinical trials are slow and expensive, and how Faro is fixing that
• Building AI systems that regulators can actually trust
• What it means for Faro to act as a “design partner” for researchers
• How Faro has already saved companies over $100M in trial costs

If you care about AI, healthcare, and the future of clinical trials, this is a must-listen.

We explore:

🚀 How Pi Health is moving beyond traditional CRO models

🌍 Making trials more diverse and inclusive across regions

🤝 What they look for in the right sponsors and trial partners

📊 Why real-time, regulatory-grade data is critical for sponsors and regulators

🔮 The next big opportunities for Pi Health in clinical research

If you’re interested in where AI is reshaping life sciences, or how to build the future of clinical trials, this one’s for you.

We also explore how Ferrum ensures its AI is safe and unbiased, and whether the future of healthcare AI should be shaped by stronger regulation or smarter hospital governance.

In this episode, we cover:

• What inspired Ken to start Ferrum Health
• The biggest hurdles to getting AI into hospitals at scale
• Why patient data should stay within hospital walls
• How Ferrum makes sure AI is accurate, unbiased, and safe
• The balance between regulation and hospital governance in healthcare AI

We dig into how AI can expand healthcare capacity, why training AI is a lot like training medical students, and the lessons learned from building a modern, physician-led practice.

Top Talking Points

• Counsel’s mission and the problems they’re solving in healthcare
• The original vision for AI-powered, messaging-based care
• How AI can shift capacity from scarcity to abundance
• Training AI like medical students: what that means in practice
• Lessons from the first year of building an AI-first, physician-led platform

We dive into what sets Exa apart from competitors like Perplexity and Bing, the bold strategies behind its rapid growth, and Thais’ perspective on where AI agents are truly moving the needle.

Discussion Points

• How Exa positions itself differently from Perplexity and Bing.
• The GTM tactics that helped Exa grow sign-ups 8× in just five months.
• The story behind the balloon-box campaign and its impact.
• How Exa uses AI daily across marketing, content, and GTM execution.
• Insights from analyzing 500+ AI agent companies, top trends, and standout use cases.

Today I’m joined by Tomas Reimers, co-founder and CPO of Graphite, a Series B startup that’s redefining code review with AI. We’ll be diving into how Tomas and the team validated demand, scaled the business without traditional marketing, and continue to stay ahead in a competitive space.

Here are some of the discussion points we’ll cover:

• The problem Graphite set out to solve, and how Tomas knew people really needed it
• Growing through education and community instead of traditional campaigns
• Why they kept users on a waitlist and how they knew the product was ready for wider adoption
• The challenges of explaining a new product category and making it resonate with users
• What makes Graphite different in a crowded market, and how it plans to stay ahead

Through Dimer Health, she’s building an AI-driven startup reimagining transitional care — helping hospitals cut readmissions and improve patient outcomes with a human-centered approach.

In our conversation, we covered:

• How the idea for Dimer came about
• The role AI plays in keeping patients out of the hospital
• Building trust in AI with privacy and compliance at the core
• Finding product-market fit and scaling go-to-market
• Lessons from the early days and what she’d do differently
• What’s next for Dimer in the next 12–18 months

If you’re curious about AI, digital health, and the future of patient care, you’ll really enjoy this one.

From co-founding an agritech startup to leading product in voice AI, Tom’s path is anything but ordinary.

He shares insights on building great voice agents, the impact of large language models, and why the hardest part is always the last 10%.

In this episode, you’ll hear us talk about:

• How Tom went from agritech founder to product leader at LiveKit
• What LiveKit is, and how it’s helping developers build real-time voice & video apps
• Why large language models are transforming the future of voice agents
• The “80/10 rule” and why the last stretch is the hardest to crack
• How moving from coder to product leader reshaped his approach to innovation

Today I’m joined by Bill Snyder, Founder & CEO of Cylinder Health, the gut-first virtual care platform helping employers and health plans tackle digestive health with personalized, clinically backed support that improves outcomes and lowers costs.

Bill has a wealth of experience in digital health and wellness, having led teams at Humana, Virta Health, and Vivante before founding Cylinder in 2021.

💡 Conversation Topics

• What inspired Bill to launch Cylinder Health, and how the product has evolved since its early days
• The biggest challenges he faced when expanding to more employers and health plans
• Balancing human support (dietitians and coaches) with technology while scaling
• How Cylinder is using AI and automation today to personalize care and improve outcomes
• Where AI could play a bigger role in the future, from patient experience to operational efficiency

The conversation covers how Phil is applying automation and intelligent systems to an industry long overdue for change, tackling outdated processes, improving customer experiences, and bringing real innovation to a traditional space.

Key Topics:

The Move AI story, and why moving was ripe for disruption

How computer vision + AI turn messy home photos into actionable data

Rethinking moving as AI coordination, not just another “marketplace”

Designing AI that feels genuinely helpful, not overwhelming

Finding product-market fit and scaling human-in-the-loop AI

Why “unsexy” categories can unlock powerful AI advantages

🎧 What we cover:

• Where AI actually is right now, and how to separate hype from real disruption
• The decline in data & analytics job openings, what's behind it and how leaders should adapt
• Advice for data professionals worried about AI replacing their roles
• How companies can build trust in AI systems, both with employees and customers
• What the future of AI-native teams might look like

This one’s honest, insightful, and packed with takeaways for anyone navigating the AI and data space today.

Sandeep brings a wealth of experience from over 15 years at Google, where he led marketing for Android, Chrome, and Google Play. Now at the helm of Auxia, he’s focused on helping businesses harness AI to drive smarter, faster customer growth.

We dive into the shift from Big Tech to startup life, how Auxia is building AI agents for modern marketing teams, and the future of personalization, privacy, and AI-first marketing.

🧠 Key Talking Points:

• From Google to Startup: What motivated Sandeep to leave Google and build Auxia? What lessons did he take from Big Tech into startup life?
• The Auxia Mission: How Auxia is helping marketing teams automate and scale customer engagement with AI.
• Personalization vs. Privacy: Navigating the balance between deeply personalized marketing and growing data privacy expectations.
• Future of AI in Marketing: What emerging trends, tools, and technologies are likely to disrupt marketing in the next 3–5 years?
• Advice to Future Founders: Sandeep’s take on building in AI today, and his one piece of advice for anyone entering the space.

With a background at Google and Facebook, Cameron shares how his technical expertise is helping redefine in-home preventive care.

Topics covered include:

• The founding story of Sprinter Health and Cameron’s journey into healthcare
• What Sprinter does and the core problem it’s solving in the U.S. healthcare system
• The operational and technical challenges of delivering care at home
• How Sprinter ensures its technology works for both patients and clinicians in real-world settings
• The role of AI in logistics, scheduling, and driving better clinical outcomes
• How Sprinter differentiates itself in a fast-growing digital health market
• Cameron’s vision for the future of at-home healthcare, and how Sprinter is shaping it

A great listen for anyone interested in the intersection of AI, logistics, and healthcare innovation.

With an impressive background spanning leadership roles at YouTube, Houseparty, Spotify, Amazon, Expedia, and EA, Kinshuk shares what drew him away from big tech and into the mission-driven world of healthtech.

He breaks down Cedar’s vision, the challenges of healthcare billing, and how the company is leveraging AI to make the patient financial experience clearer, faster, and more empathetic.

We dive into:

• What Cedar is and the real-world problem it's solving
• How AI is helping demystify the billing process for patients
• The launch of "Kora", Cedar’s AI assistant, and how it simplifies bill understanding and management
• Building trust in AI for sensitive use cases like healthcare and financial data
• How Cedar keeps pace with the ever-changing healthcare landscape
• What’s next on the roadmap as Cedar continues to innovate with AI

A must-listen for anyone interested in the intersection of AI, healthtech, and real-world impact.

Aegis is taking a unique approach to digital health innovation, blending venture building with deep healthcare collaboration, whilst helping to reshape how care is delivered.

We cover:

• How Aegis Ventures differs from traditional VCs and incubators
• The Aegis Digital Consortium and its mission to put health systems at the center of innovation
• How do they choose which healthcare challenges are worth solving
• What founders must get right in the first 100 days of a new company
• Why some startups struggle to gain traction with health systems, and how to avoid the same fate
• How AI is influencing the kinds of companies Aegis is launching
• The biggest mistakes early-stage healthtech founders make

Whether you’re a founder, investor, or operator in digital health, this episode offers real insight into how the future of care is being built.

We delve into how CareRev is redefining the traditional nursing model by providing nurses with more flexibility, autonomy, and control over their schedules through a shift-based marketplace. Brandon shares the origin story of the platform and how it supports nurses with different life needs.

We also explore the role of AI and data in determining shift pay rates, balancing nurse attraction with hospital budget constraints, and delivering cost-effective staffing at scale.

Brandon walks us through the recent launch of IRP+, a solution designed to help hospitals build and manage internal resource and float pools, reducing reliance on expensive travel nurse contracts.

As the conversation continues, we address one of healthcare’s most urgent issues: nurse burnout. Brandon discusses how CareRev is tackling the root causes by promoting work-life balance and supporting long-term workforce stability, especially in the post-COVID landscape.

Finally, we unpack the operational and GTM challenges CareRev faced during its growth journey, offering insights into healthcare sales cycles, platform adoption, and Brandon’s leadership style through it all.

We covered a wide range of topics, including:

• How Regard is solving one of healthcare’s biggest data problems, and what makes their product stand out
• The challenges of selling into a complex market with long sales cycles and how their go-to-market approach evolved
• Building trust in AI with clinicians and administrators, and the early hurdles they faced in getting buy-in
• Why so many startups get hiring wrong, and how Eli approached building a strong, mission-aligned team
• Where AI in healthcare is headed next, and the role Regard plans to play in shaping that future

A great conversation with some honest insights on scaling in one of the toughest industries out there.

Hamid brings deep experience from the healthcare technology space and has been at the forefront of driving operational efficiencies in some of the most complex health systems in the U.S.

The conversation kicks off with a look into Hamid’s background, followed by an overview of CodaMetrix, how it began, what problem it solves, and why it matters.

Key Discussion Points:

🧠 The Origin Story & Problem Solving

Hamid shares a brief introduction and explains the mission behind CodaMetrix, and the pain point they set out to fix in clinical coding and revenue cycle management.

📈 Finding Product-Market Fit

Many founders talk about product-market fit, but Hamid reflects on the exact moment he knew CodaMetrix was solving a real need for hospitals, and how that realization shaped their strategy.

🧭 From Internal Tool to Market-Ready Product

CodaMetrix was born out of Mass General Brigham. Hamid walks through how the company’s go-to-market strategy evolved once they moved beyond internal use and began selling to other healthcare systems.

⚙️ Navigating GTM in Complex Health Systems

Selling AI into large healthcare systems is no small task. Hamid discusses the toughest challenges, from long sales cycles to navigating multiple stakeholders, and shares what’s worked (and what hasn’t).

🤖 The Evolution of AI Thinking

Since launching CodaMetrix, how has Hamid’s perspective on AI shifted? He talks through lessons learned, where the tech is headed, and how CodaMetrix is staying ahead.

A big thanks to Hamid for joining the show and sharing his insights. For more conversations like this, follow The ThinkData Podcast wherever you get your podcasts, and stay tuned for more interviews with the founders and operators shaping the future of AI and HealthTech.

Topics include:

❤️‍🩹Matt’s journey from founder to CTO at Datavant

❤️‍🩹What Datavant does and the problem it solves in healthcare

❤️‍🩹How they handle both identified and de-identified health data at scale

❤️‍🩹What sets Datavant apart in a crowded AI healthtech market

❤️‍🩹Key challenges Matt faces as a scaling CTO

❤️‍🩹The tech trends reshaping healthcare, and which excite him most

❤️‍🩹How he hires and retains top talent in a competitive market

Today’s guest is Adil, Chief Technology Officer at OXIO.

Adil spent nearly two decades at Verizon before joining OXIO in 2023, where he now leads the technology strategy for a company that’s redefining telecom.

OXIO is the world’s first telecom-as-a-service platform. It empowers brands to launch their mobile networks, giving them full control over the wireless experience and access to valuable customer data.

We covered a lot, including:

• After nearly 20 years at Verizon, what inspired him to join a startup like OXIO
• How is AI reshaping the mobile telecom space?
• What’s driving users to switch mobile providers, and how can AI help address those frustrations?
• How does OXIO use AI to personalize plans while handling user data ethically
• How brands use AI to deliver mobile experiences that truly stand out from traditional carriers.

We’ll talk about how Vellum is making AI more accessible, how companies are using it, and Anita’s role in driving that growth.

In this episode:

• How Vellum helps businesses build and manage AI applications in production
• Anita’s role in driving growth and go-to-market strategy
• The six levels of agentic AI behavior, and why they matter
• Key insights from The State of AI 2025 report (25% of companies now run AI in production)
• What’s enabling successful AI adoption, and what’s holding others back
• Where the AI space is heading, and how Vellum is preparing for it

In today’s episode, we’re joined by Karthik, General Manager of AI at LogicMonitor, an AI-powered platform helping businesses manage IT across both cloud and on-premises environments.

Karthik brings a wealth of experience, with 14 years at SAP and nearly 5 years at Aisera, leading innovation in AI and IT operations. We're excited to have him on the show!

In this conversation, we dive into:

• Karthik’s career journey and what led him to join LogicMonitor.
• How LogicMonitor helps businesses manage modern IT infrastructures.
• How companies can prepare for the AI era and optimize hybrid data center workloads.
• The latest updates to LogicMonitor’s AI agent, Edwin AI, and how it's simplifying life for IT teams.
• Trends shaping the future of the data center ecosystem, and how LogicMonitor is positioning for what's ahead.

Stay tuned for an insightful discussion on how AI is transforming IT management!

We covered a lot of ground, with Manish sharing valuable insights from his experience leading SymphonyAI’s retail division.

Here’s a glimpse into what we discussed:

• What excites him most about the future of AI in retail
• The biggest challenges in driving AI adoption in the sector, and how SymphonyAI is tackling them
• How AI can empower better decision-making in an industry traditionally driven by human expertise and slower to embrace new technologies

This was a thought-provoking conversation about the evolving role of AI in retail. If you’re curious about how AI is transforming the customer experience, this is an episode you won’t want to miss!

On today’s episode, I’m joined by Krishnan, who is currently at AWS, where he advises enterprise companies on implementing the best AWS solutions for their business.

Before joining AWS, Krishnan spent several years launching and building companies in the AI, drone, and edge processing space, bringing deep experience across early-stage innovation and technical leadership.

In this episode, we’ll explore:

• A Brief Overview of Krishnan’s Background

His journey in leading, growing, and advising early-stage AI, data, and tech companies.

• Why Startups Struggle with Go-to-Market (GTM) and Sales Strategies

Common pitfalls and how early-stage founders can avoid them.

• What Private Equity Firms Look for in Acquisition Targets

Key evaluation criteria for AI, data, SaaS, and deep tech businesses.

• How Generative AI is Transforming Industries

From healthcare to entertainment, real-world applications, and future potential.

• Challenges Startups Face in Adopting Generative AI

Including funding hurdles, integration complexity, and data privacy issues.

Said brings a wealth of experience in networking and telecommunications, having held senior roles at major players like Juniper Networks, Violin Memory, and Ericsson.

Under his leadership, ZEDEDA has experienced rapid global growth, helping businesses deploy and manage edge computing at scale.

Topics Covered

• Said’s Journey - His background and what inspired him to launch Zededa
• Understanding Edge Orchestration - What it is, and why it’s becoming essential across industries
• Building a Global Business - Key steps the founding team took to scale internationally
• Go-To-Market & Product-Market Fit - Strategy, growing pains, and how ZEDEDA found its niche
• The Role of AI in IoT - How AI is accelerating innovation, especially in the energy sector
• Customer Success Stories - Real-world examples of ZEDEDA’s impact on clients

Episode 3 of Season 3 features a special guest, Jean-Louis, founder and CEO of Gladia, a French-based speech recognition and audio analysis startup.

This episode offers one of the most open, honest, and upfront conversations yet, providing real insight into what it takes to launch and scale an early-stage startup.

Key Topics Covered:

• Jean-Louis' background and the journey that led to founding Gladia
• The problem Gladia is solving and its core mission
• The challenges of understanding product-market fit
• Gladia’s go-to-market (GTM) and sales strategy, along with its ideal customer profiles
• The fundraising journey, what worked, what didn’t, and what he would do differently
• Managing company culture in a rapidly growing, remote-first startup

This is a must-listen for anyone navigating the startup world!

Suzanne is the co-founder and CEO of Brighthive, a full-stack data management platform, powered by AI. She is a serial entrepreneur with over 22 years of experience in building and scaling tech startups and I am super excited to have her on today!

We covered a lot including -

• Suzanne's background and what inspired her to launch Brighthive
• What Brighthive is and the problem it aims to solve
• Brighthive's go-to-market (GTM) and sales strategy, and the steps being taken to stand out in a competitive space
• Suzanne's thoughts on how products like Brighthive will impact data teams and the broader labor force
• As a 3x founder, Suzanne's advice for aspiring entrepreneurs considering launching their first business

On today’s show, I’m excited to welcome Jeff Elton, the CEO of ConcertAI, a global leader in Clinical AI and Real-World Data solutions

Jeff has a wealth of experience in the Life sciences and health space, having worked for Accenture, Novartis, and McKinsey and lectured at Boston University.

• Jeff's background and what led him to become the CEO of Concert
• Who is ConcertAI and what problem does his business solve?
• The challenges that Jeff and the ConcertAI team had to overcome over the past 6 years
• What it means to be in charge of “the world’s largest oncology and hematology dataset”
• With the rise of more solutions that live in the clinical cloud, what are the main considerations leaders should be aware of?
• What are some of the key ways AI and data are transforming precision medicine?
• How do we ensure that AI within the healthcare space isn’t removing that human touch, but instead becoming an asset to it?

In this episode, we examine the dynamic landscape of AI and tech hiring in Europe and the United States.

We’re thrilled to be joined by two exceptional guests, Serena Huang and Rob Wersley, who share invaluable insights from both sides of the Atlantic.

Together, we explore some of the most pressing topics shaping the world of Data & AI today. Here's a glimpse of what’s in store:

• A deep dive into the state of the Data & Analytics job market from a hiring and talent perspective.
• Actionable steps organizations can take to harness Data & AI for enhancing employee engagement, performance, and productivity.
• Insights into why many companies struggle to attract and retain top talent in the Data & AI space.
• Plus, you won't want to miss Serena and Rob’s favorite out-of-the-box interview questions!

This was a fascinating discussion packed with practical advice and thought-provoking perspectives. Tune in and enjoy!

Josh brings over 30 years of experience in data center technology, having worked with industry leaders such as NCR, AT&T, and Dell.

He currently serves as the CEO of Accelsius, a company at the forefront of advanced cooling technology for data centers.

We covered a huge amount, including:

• Background on Josh’s career journey and what led him to become the CEO of Accelsius.
• Josh’s role at Accelsius and what a typical week looks like as CEO
• The mission of Accelsius and the specific problem the company is solving within the industry.
• A closer look at the environmental impact of AI systems and data centers
• The steps he took to build awareness and drive ARR
• Some of the challenges Josh has had to overcome as CEO

On today’s episode, I’m joined by Jason Abrams.

Jason is the VP of Revenue Strategy at Plenful, a Series A SaaS and AI startup in the digital health space. With over 15 years of sales experience, he’s successfully led and grown teams at LinkedIn, Lyra Health, Color, and Spring Health.

In this episode, we’ll dive into building and scaling Sales and GTM teams within a startup.

We covered a lot of ground:

• Jason's background and what brought him to Plenful
• Who is Plenful and what problem is it looking to solve
• Jason's thoughts on the Healthtech market
• What are the most important factors and considerations companies should consider when building their ARR?
• What impact has AI and associated software had on sales teams
• What makes a great sales leader
• Jason's advice to candidates who may be looking at sales as a career path

Vince has been working in the healthtech space for over 25 years, during which time he launched products and services in virtual care, remote monitoring, digital health, and wellness.

He is the President of Spren, a super interesting early-stage startup within the fitness, wellness & longevity space.

We covered a lot of ground, including:

• Vinces background brought him to Spren
• What is Spren and what problem is it trying to solve
• How big a part can AI play in creating a healthier population
• What are the most exciting developments Vince has seen in the world of AI & Wellbeing/Health
• Why there is still so much nervousness around AI within Health/care
• Predictions for the next 12/18 months!

Rich has been working within the Data and AI space for around 20 years, which has seen him lead major AI initiatives across Government, Defense, and Cyber Security,

He is a very well-regarded figure and speaker in AI, leading him to write and release a book, titled GenAI recently, Revealed!

• What inspired Rich to write his book?
• Rich's views on where we currently stand as users and adopters of AI
• How Rich sees data and analytics teams evolving, particularly with the rise of AI and automation
• What Rich believes to be the biggest threat posed by AI today
• Predictions for AI development over the next 12 to 18 months

This was a fantastic discussion around one of the hottest topics in tech today, Generative AI. Do yourself a favor and download a copy of his book today - HERE

On today's show, I am pleased to welcome Tara Goodmam!

Tara is the Vice President of Life sciences for Pointclickcare, who are a leading Healthcare technology platform, built to support meaningful collaboration and real-time insights at every stage of the patient healthcare journey

Tara has over 20 years of experience in the clinical trials, research, and Data space, and I am super excited to welcome her to the show!

We covered the following:

• Background to Tara and what brought her to PCC
• Who is Point Click Care and what problem is it trying to solve?      
• How big a part do AI and Advanced Analytics play in the business and products
• How do they measure the success and ROI of their solution?      
• What is their GTM and Sales strategy
• What is next for PointClickCare

This was a fascinating insight into how Data and Advanced Analytics is directly helping an aging population!

Jess has over 12 years of experience working within the Data & Analytics space and is the Data Architecture Manager at Underdog Fantasy, one of the world's fastest-growing sports gaming companies.

We had a cracking discussion and touched on a few of the following points:  

• What makes a great data leader
• Why do so many companies struggle to develop future leaders within data & analytics?
• What are some of the limitations of bringing in external talent
• What steps should companies take to put themselves in the best possible position to retain and develop managers?
• How Jess sees the role of a Data team manager changing over the coming years
• Jess's advice to aspiring managers within Data.

Moshe is the CEO & Founder of NeuReality, a semiconductors & Artificial intelligence startup.

They operate in a space that has been gathering a huge amount of interest and

excitement from the world of AI.

He gave a fascinating insight into the following:

🤖How did the idea for NeuReality come about?

🤖What is NeuReality and what problem are they trying to solve?

🤖What were some of the early challenges they had to overcome

🤖What was their GTM and Sales strategy and who is their ideal customer profile?

🤖How NeuReality is making AI technology more accessible and affordable to a broader range of users while simultaneously killing the CPU? 

🤖 How Moshe and his team ensure that NeuReality stays at the forefront of technology

🤖 A closer look at his recent Performance Results comparing NR1 Architecture to CPU architecture, specifically Qualcomm's AI-100. 

🤖What can we expect to see from NeuReality over the coming months?

Sasha is a Software and AI Investor at Headline, an international venture capitalist firm.

Sasha is very active in the field of AI, and is well-placed to offer his insight into what it takes to build and scale a great business within Artificial Intelligence!

We covered a lot of grounding including:

✅Sasha's background and what brought him to Headline

✅Who is Headline and what companies & founders do they typically look to invest in?

✅Sasha's thoughts on the current state of the startup space within AI

✅What are some of the major pitfalls Sasha sees in startups

✅Best advice to founders looking to scale a company within AI?

✅Predictions for 2024

This was a cracking discussion, where we tackled a whole host of topics including:

• Yuvals background and what took him from an early career in the Israeli Defense Forces to launching Senser
• What is Senser, and what problem is it trying to solve?
• What makes it different from other observability products out there?
• What has been the standout customer feedback or impression that has stuck with him?
• What were some of the biggest challenges they had to overcome?
• If they had your time again, what would they do differently?
• What can we expect to see from Senser over the coming months?

Their platform has been set up to ensure that companies are building the right solutions, in the right way!

We covered a lot of ground in this episode:

• Rehgans background and what was the original idea behind AlignAi?
• What specific challenges does AlignAi tackle?
• Historically, governance has been perceived as an obstacle to innovation. How is AlignAi dispelling this notion and actively promoting innovation?
• What impact on team performance can AlignAI bring?
• Why should companies adopt stringent AI/Data Governance practices right from the outset?
• What repercussions might companies face for neglecting the implementation of a robust AI governance strategy?
• What developments or initiatives can we anticipate from AlignAI in the coming months?
• Rehgans fantastic work with Women in Analytics!

Stephanie is the Co-Founder & CEO of Diedem Capital, which is a funding marketplace for founders.

Stephanie has a wealth of experience within the startup and venture capitalist space, and in my opinion, no better person to give us a real insight into what is happening in the world of Tech and AI right now.

We covered A LOT:

• Stephanie's background and what made her launch Diadem
• What is the aim of the platform, and what makes it unique?
• Stephanie's thoughts on the current state of the generative AI startup scene
• What specific areas/sectors within AI is Stephanie most excited about and why?
• What do investors look at before deciding whether that company is investible?
• What is the general rule of thumb for valuing a start-up in AI? 
• What challenges does Stephanie foresee happening in the AI market for startups over the coming months?
• Stephanie's advice on how founders can navigate a turbulent market!

Emalick is the founder of Ecotone AI, a company with a very clear vision –

"To develop AI-based medicines that can cure approximately 10,000 inherited diseases that would have normally been overlooked by the pharmaceutical industry"

He has a fascinating backstory and is seen by many to be a true pioneer in this space.

We had a great discussion about the following:

✔His background and what led him to launch Ecotone

✔Who is Ecotone and what is their mission & vision?

✔What part AI plays in the product

✔What is an LGM(Large Genome Model)

✔The impact that AI can bring to medicine and rare genetic diseases

✔In a highly regulated space such as medicine, how EMalick and Ecotone navigate the various laws and policies in each state and country.

✔Emalick's thoughts on the current state of the generative AI market.

✔What can we expect to see from Ecotone over the coming months?

Click for a recent whitepaper EMalick released - https://emalick.substack.com/p/emergent-populations-derived-with

In this very special in-person episode, I sat down in NYC with Aditya Khurjekar who is a serial founder from the world of artificial intelligence and content authentication!

We had a great discussion around:

• Aditiya's background, and what brought him to launch his latest venture xign.ai.
• Who is MEDICI and what was the original idea for the platform
• How did the Prove acquisition come about, and how did he know when was the right time to sell
• Aditya's thoughts on what makes a great start-up
• His thoughts on the current state of the AI market
• What are some of the hottest sectors within AI from an investment perspective right now?
• What changes we can expect to see across the global AI market over the next 12-18 months?

Radiolife is an early-stage start-up in the field of health diagnostics.

They leverage RF technology and AI to advance pathologies research, revolutionizing disease understanding and patient care.

This was a fascinating discussion about the complexities of bringing a health product to market in the US!

We spoke about -

• Sergio's background and what made him launch Radiolife.
• Who is Radiolife, what is their product, and what makes it unique?
• What part does AI play in the product?
• Sergio's top tips for budding entrepreneurs who may have a great idea, but are struggling with how to turn that into a business.
• How to navigate the complexities of one of the most highly regulated markets in the world.
• How they overcame product development challenges to comply with regulations.
• What is next for Radiolife?

In this episode, I met with Chaz Giles who is the Founder & CEO of Revea.

Revea is a precision skincare company using advanced diagnostics, personal analysis, and machine learning to deliver skincare designed for each individual’s biology

This was a great discussion, covering a load of interesting topics such as -

• Chaz's background and how the idea for Revea was conceived?
• What is Revea, what makes the product unique, and how big a part does AI play
• What is Revea's marketing and GTM strategy, and how do they compete against the larger more well-known brands within the cosmetic and skincare space?
• Why most start-ups fail
• Chaz's thoughts on the importance of establishing a clear set of values and competencies that his team is hired against
• When is the "right time" to hire?
• Chaz's thoughts on the current state of the AI market
• What we can expect to see from Revea over the coming months and through 2024

In this episode, I had the pleasure of sitting down with Cal Al-Dhubaib, the CEO & Founder of Pandata.

Pandata designs and develops AI and machine learning solutions for high-risk industries, focusing on responsible and ethical development.

Cal is a highly regarded speaker and consultant in the world of AI, and there isn't much he and his team don't know about the world of AI.

We covered a lot:

• Cal's background and what brought him to launch Pandata
• Who are Pandata, and what type of problems are they brought in to solve
• The steps companies should be taking to ensure AI is being built and used for good
• Why responsible and ethical AI development is so important
• How companies can attract, engage, retain, and upskill their AI & Data Team
• What does Cal expect to see from the AI world over the coming months?

She offered great insight into what it takes to set up, launch, and scale a startup in the US.

We discussed the following -

✔Who is Weve and what makes their service unique

✔The steps companies should take when looking to make their first full-time hire in the US

✔What companies should consider when looking to make their first hire?

✔The steps companies should take to a) stand out, b) attract the best possible talent and c) ensure they are embedding the company culture from day one

✔What are the best states/cities to set up in, and why?

✔Are companies better off building an "in-office" culture, or going for fully remote upon launch?

In this episode, I sat down with Rohan Doctor, the Founder and CEO of Louisa.AI.

Louisa AI maximizes the revenues of Financial Institutions by connecting Expertise + Relationships + Intel.

We had a great discussion, talking about the following -

• Rohan's background and how the idea for Louisa came about
• Who is Louisa and what problem is it trying to solve
• What were some of the initial challenges/considerations Rohan and the team had to overcome when taking an "idea" and turning that into a fully fully-fledged business
• The steps Rohan took to adapt from the large corporate life of Goldman to the Founder and CEO of a start-up.
• What is the long-term vision for the company
• Rohan's thoughts on the current state of the AI market
• His advice for budding entrepreneurs

Our podcast is presented in partnership with Dataworks, and today, I am very excited to have Suman Kanuganti on the show.

Suman is the Co-Founder & CEO of Personal.ai, which has been making a huge amount of noise in the AI space.

Personal AI uses your data, and opinions to create a unique interactive messaging experience!

In this episode, we will be showcasing how effective this tool is in real time!

We discussed -

• Suman's background and when did he come up with the idea for personal.ai

• What is the long-term vision for the company, and where does Suman see his tool having the biggest impact?

• How personal.ai address concerns around AI ethics and data privacy

• How personal.ai stays ahead of the competition and adapts to emerging trends

• What is next for peronal.ai?

Amit is the Co-Founder & CEO at Kubiya, the world's first DevOps virtual assistant, powered by AI!

Kubiya was launched back in May 2022, and since then has experienced rapid growth and gained a huge amount of interest from the world of cloud and DevOps!

Amit gave a really detailed account of what it is like to conceive and launch an AI product, and we spoke about:

• What led him to launch Kubiya

• What is Kubiya, and what makes their product unique?

• What were the first steps they took when deciding when and who to hire?

• What the some of the key challenges they had to overcome in the early stages?

• What was their GTM and marketing strategy when launching, and how did that change over time

• Amits top tips to future founders when it comes to launching a new business from scratch

• What is next for Kubiya?

Our podcast is presented in partnership with Dataworks, and today, we're delighted to have Thierry Tremblay on the show.

Thierry is the CEO and founder of Kohezion, a platform specializing in low-code and no-code database software solutions

We covered a huge amount, including:

• What is the backstory to launching Kohezion, and how has Thierry's vision for the platform evolved since its inception
• How will no-code/low-code tools evolve, and what are the major advantages they offer to businesses and individuals
• What are some of the biggest challenges that Thierry and his team are currently solving
• How does Kohezion ensure the security of the data and applications created on its platform
• What users can expect in terms of future features & enhancements to the Kohezion platform

Solomon is the Founder & CEO of Delivery Layer. This SaaS Data Platform has been built, “to improve the time to market and customer experience for data products”.

With over 15 years of experience working in Data & Analytics, Solomon has worked for Paperless Post, Nielsen, and Helium 10 before launching his own start-up Delivery Layer in August 2023.

We spoke about -

• His background and what made him launch Delivery Layer

• Who is Delivery Layer and what makes the platform and product unique

• What steps Solomon took to build a best-in-class data team, while maintaining a culture?

• Solomon's thoughts on how Data & Analytics teams will be set up in the future when factoring in the huge number of layoffs that have happened over the past 6-12 months.

• What positions, or functions within a classic Data team will be displaced, or impacted the most by Artificial Intelligence.

Amanda is the Head of Applied Science at Data Squared and has over 20 years of experience in Data and analytics, which has seen her work for The Bloc, SiriusXM, and Macy's.

Amanda provides training, support, and mentorship to the next cohort of Data professionals, and has recently been recognized by Linkedin as a Top voice within Artificial Intelligence

This was a great discussion, covering a lot of areas, including:

• Amanda's background and how she broke into Analytics?
• How Amanda upskilled herself
• Advice and tips to those who are trying to make it in the world of Data
• The steps potential candidates can take to stand out when applying for roles
• How companies should approach hiring to put themselves in the best possible position to avoid redundancies.
• What does the future hold for AI?

Ahmet is the Senior Director of AI product at Domino Data Lab and has a wealth of experience in product management which has seen him work for the likes of Apple, Microsoft & Salesforce.

Ahmet leads AI product development at Domino, the Enterprise MLOps platform trusted by over 20% of the Fortune 100.

We spoke about:

• His background and what made him leave the relative comfort of "Big Tech" to join Domino.
• Who is Domino and what makes them and their platform unique
• The steps Domino Data Lab takes to ensure that its platform and technology remain current and can continue meeting the needs of the AI practitioners that use the platform
• How does Domino Data Lab address the ethical considerations and potential biases that can arise during the AI model development process
• Ahmet's thoughts on what makes a great Data product, and what considerations should companies make before looking to build out a dedicated AI product team.
• What new tools and features can we expect to be released by Domino over the next 12-18 months?

Chris is a Partner Manager at Nvidia, responsible for supporting startups by giving them access to Nvidia resources, and full go-to-market support.

Nvidia engineers the most advanced chips, systems, and software that powers Artificial intelligence, and is one of the fastest-growing technology companies of all time.

Chris gave a fascinating insight into what it is like to work for a company like Nvidia, and what we can expect to see from the world of Gen-AI over the next 6-12 months.

• Who is Nvidia & what is behind their rapid growth over the last 5-10 years?
• What is Nvidia’s growth strategy and how they approach building partnerships and onboarding customers in the startup and Enterprise space
• What has been the biggest technological advancement & product release at Nvidia recently and why?
• Chris's thoughts about the current state of the GenAI space
• What does the future hold for Nvidia and GenAI

Amanda is a former high school biology teacher and Edtech executive who is now the Founder and CEO at “AI for Education”.

Their mission is to help educators and academic institutions adopt AI technology, responsibly!

We covered a lot of topics, including -

• Background to Amanda, and when did she come up with the idea for AI for Education
• How Amanda took that vision and turned it into a fully-fledged business
• How AI is being used to personalize learning
• How AI can help make education more accessible to students from all backgrounds
• What are the ethical considerations for using AI in education
• How can AI help to prepare students for the jobs of the future
• What are some of the challenges that need to be addressed in order to make AI more widely adopted in education

Amanda is a hugely knowledgeable, passionate, and engaging Founder, with a very clear vision and mission to revolutionize teaching and learning through the power of AI!

Bryce is the Director of Product Management for Tatari, which is a leading platform for buying and measuring advertising across linear and streaming TV.

They use cutting-edge Data & AI technology to help advertisers buy and place adverts!

Bryce is an expert in his field and for anyone who has the slightest bit of interest in how AI is helping drive advertising within TV, then this is the episode for you!

We talked about -

• Background to Bryce and what brought him to the US and Tatari
• Who is TATARI and how does artificial intelligence help their customers?
• How AI & Data product management differ from the more classic software PM.
• What makes a great Data & AI product?
• With privacy concerns and changes in data regulations, how does Tatari ensure the ethical and responsible use of AI in ad measurement, while still delivering accurate and actionable insights to clients?
• What does the future hold for AI and advertising measurement?

Scott is the CEO and founder of Brooklyn Data company, and they are regarded as one of the leading modern data analytics consulting firms out there.

Following the acquisition by Velir in March this year, he assumed the role of Chief Data officer, and is now working across the group helping to drive data-driven decision-making across their customer base!

Scott's passion, and excitement for this space shone through, and for anyone interested in hearing what it takes to launch, scale, and go through an acquisition, this is a MUST listen.

We covered a lot -

• What led Scott to launch Brooklyn Data Company back in 2018
• The steps he took to launch and lead a business that saw year-on-year growth since inception.
• How did he know when was the right time to become part of Velir
• How Scott got the people and talent piece right from the outset
• How he created a brand and a compelling story that people would buy into, and want to work for
• With the rapid rise of AI tools and products currently entering the space, what are Scott's thoughts on how this will impact the way Data teams are set up moving forward

Hardika is the Senior Director of Product at Involve AI & R2D2 and was recently voted one of the United States' top 100 directors in Artificial intelligence.

Involve AI is a Series A SaaS platform within the customer intelligence space who have been experiencing rapid growth since its Series A towards the back end of 2021.

This was a really insightful discussion around -

• Hardika's background and what brought her to Involve.ai
• Who is Involve.ai and what makes their product and service unique?
• What were some of the challenges Hardika and her team had to overcome in the early stages, and then following their Series A investment?
• What steps did Hardika take when building her Data & AI Product team?
• Hardika's thoughts on what is next in the world of AI

For anyone that is interested in hearing what it takes to build a SaaS AI start-up, then this is a must-listen!

Jay is the CEO and Co-founder at Truve. Truve is an AI-powered legal analytics platform for law firms and their platform helps firms understand performance whilst at the same time helping to drive efficiencies across all parts of the business.

We had a great discussion, covering a number of topics, such as -

• Jay's background, what brought him to the US, and then to launch Truve.
• The vision behind Truve and what makes it a unique proposition within the field of Legal AI
• The steps Jay took to establish a founder team, and then launch.
• His advice to other founders who are looking at launching their own business
• The steps that Jay and his founder team take to establish a core set of values/principles that his team was hired and reviewed against?
• What makes a great startup vs. an average one
• What is next in the world of AI

Jay is an extremely charismatic and engaging leader and no surprise his business has done so well! This episode is a great listen to anyone who wants to understand what it takes to conceive an idea and then subsequently launch your own AI start-up!

Rajesh spent 10 years at Gartner where he was their chief of research and fellow and is now in the process of launching his own AI product, whilst also advising a handful of companies that are looking to realize the full potential of AI and generative AI.

Widely recognized as one of the leading voices in the world of AI, Rajesh offers a refreshing and fascinating insight into this space.

• What led Rajesh to leave Gartner after a decade, to now focus his efforts on advising AI companies and launching his very own AI startup.
• What are the key factors that large enterprises should consider when contemplating investments in artificial intelligence?
• What are some of the misconceptions about AI adoption and what can be done about it?
• How does Rajesh feel about the growth trajectory of AI compared to other emerging technologies, such as blockchain?
• What factors will ultimately determine the success of an AI product within Generative AI?
• What are his predictions and insights regarding the future direction of AI and its potential impacts on various industries and aspects of daily life?

Alex is the Co-founder and CEO of Performica who are a SaaS platform within the People and Performance management space.

Their tool helps managers and companies retain key staff, improve culture, and ultimately increase profits!

Alex started out as a Software engineer, and has a wealth of experience in building and launching greenfield products from the ground up!

This was a very open, informative, and eye-opening account of what life as a Co-Founder is really like.

We talked about -

• His journey as a founder and how he came up with the idea for Performica
• How Performica is making a difference in how businesses approach workforce management and employee engagement
• How he and Performica overcome the issues regarding employee Data privacy and security and how their platform ensures the confidentiality and integrity of the data that is collected
• His advice to any budding entrepreneur
• His thoughts on what the future of people analytics could look like

Alex is a highly successful and passionate Founder, and this podcast is a must listen to anyone that is curious about what life as an entrepreneur is really like!

Calvin is the Director of Product at Borealis, the AI research arm of the Royal Bank of Canada.

He started his career as an electrical engineer in 2007, and since then, he has gone on to build AI and Data teams for the likes of Autodesk, Foresee, and Allocadia.

We discussed -

• What brought him from a career in electrical engineering to now leading research projects within Artificial intelligence
• Who Borealis is, and what type of projects & use cases are they working on
• What is behind the rapid rise in the adoption of LLM’s for organizations and product companies alike?
• How are startups within the Gen AI space going to create products that ultimately stand out?
• What sectors will be impacted the most by AI and what sectors will ultimately see job cuts and jobs being replaced by AI and Automation?
• What is next for AI?

Calvin is both technically astute, commercially aware, and highly passionate about this space. This is a must-listen-to anyone interested in the more technical side of AI and what we can look forward to in the upcoming months.

Vinesh has a wealth of experience in Product Management and Artificial intelligence and has worked for the likes of Nasa, Intel, Lenovo, and most recently Qualcomm.

He is also a member of the board of advisors for the AI forum, and is an AI advisor to San Francisco & California state university!

We had a cracking discussion about -

• His background, which started Nasa in an early AI & Data science capacity through to heading up AI and ML at Qualcomm
• Who Qualcomm are and why is Generative AI becoming more important for players like Qualcomm?
• What is behind the rapid rise in importance and demand for a dedicated Product team aligned explicitly to ML and AL
• What are some of the challenges AI product teams usually face and how is this handled?
• How do people break into Product management
• What does the future hold for Generative AI?

Santiago is the Director of Product at Thoughtspot, responsible for leading their Search and AI product team.

He has over 10 years of product management experience, which has seen him build and launch products for the likes of Meltwater, HP, Adobe, and most recently Thoughtspot.

This was a fascinating episode with Santiago offering a deep insight into his career to date, as well as explaining who Thoughtspot are, and why they are such a force to be reckoned with in the world of Business intelligence and Artificial intelligence.

We spoke about -

• Santiago's background and what ultimately brought him to Thoughtspot.
• Who are Thoughtspot and what makes their product unique?
• How Santiago approached integrating GenerativeAI at Thoughtspot, and what impact will this product have for the industry as a whole moving forward
• How do you set up your Product Team to maximize ROI
• With so many companies entering the AI/Search space, how are these products going to remain competitive and offer consumers/businesses something unique
• What is next in the world of Large language models and GenerativeAI?

On today’s show, I am pleased to welcome Irene Bratsis.

Irene is the Director of Digital product and Data for the international WELL building institute, the Author of the AI product managers handbook as well as the NYC Co-Lead for Women in Data. She also moderates the Women in AI (WAI) Talks.

This was a very upbeat and energetic discussion, and we spoke about a LOT, including -

• Background to Irene, and what took her from a role in sales to Data Product management?
• Who are the IWBI and why does Data play such an integral part in their future?
• What is behind the rapid rise in the demand for dedicated product teams within Data & AI
• What made Irene want to write the "AI product managers handbook"?
• What led Irene to become involved in the Women in Data & AI
• Why is it so important to have a diverse Data team, and what steps can Women take in order to pursue a career in Data
• What does Irene think the future holds for AI?

Irene has an infectious energy and passion for this space and with a wealth of experience leading specialist Data and AI teams, give her page a follow on Linkedin and this episode a listen!

On today’s show, we welcome Serena Huang, the Founder of Data with Serena and the Chief Data officer at ABE.

Serena has worked for the likes of Paypal, Kraft Heinz, and GE within People Analytics and has also recently joined Linkedin as a course instructor!

We had a great conversation about the following -

• Serena's background and what ultimately brought her to ABE.work
• Who are ABE and what is the vision behind it?
• As someone who has championed personal branding, Serena offered up great advice on where to begin when it comes to creating a personal brand
• What is People analytics and why is it such an important part of the wider talent piece that organizations so often overlook
• What steps can companies take to ensure that they are getting the most out of their people, and in turn increase engagement and retention?
• At what stage should companies look to invest in people/HR/talent analytics and what is your advice on how to drive a “data-driven culture” in organizations?

Serena's passion and evident expertise in creating data-driven talent and people strategies for some of the world's leading brands made for a great episode! Make sure you give her page a follow and this episode a listen!

Today we welcome Ghalib Suleiman, the Founder and CEO of Polytomic, the world's first anywhere ETL platform.

Ghalib has over 15 years of experience within Data & Tech which saw him launch Polytomic back in 2019.

We spoke about

• His background in Data and Tech and what led him to launch Polytomic
• What is Polytomic and what makes their platform and product unique
• What you should try and avoid when you're a data team of one?
• What makes a great team and how should companies set their data teams up for maximum ROI
• What does the future hold for the modern data stack and analytics engineering
• What should you consider when deciding whether to pursue a career in management or continue along the individual contributor route?

This is a great episode for anyone who wants to hear what it takes to grow and launch a tech business in the world of the modern data stack.

Ari is the Head Evangelist responsible for increasing awareness of the Databricks product and has a fascinating background in Sports analytics, where he spent several years with the Baltimore Orioles and Chicago Cubs. His career has seen him then work for the likes of Nielson and Datarobot where he has been at the forefront of Data and AI for over 15 years.

We covered a lot, including -

• What does a week in the life of an evangelist look like and what IS an evangelist?
• What took him to a career in sports analytics and then on to work for some of the most recognized Data vendors in the world?
• Who are Databricks and what makes them such a force to be reckoned with?
• In a market with a new tool and vendor being released each day, what key considerations should organizations make before deciding what tools and tech stack to go with?
• What is behind the seemingly rapid rise and adoption of AI Tools and techniques to the mainstream
• What are Ari's predictions for the next 12/18 months in the world of Data & AI
• His advice for anyone looking to break into the more commercial side of AI

Thank you Ari for a cracking discussion, and for anyone interested in finding out more about him and Dataworks, make sure you give him a follow on here.

Mitch heads up a global team of specialists who are tasked with ensuring Entain's £1billion+ marketing budget across new and existing customers around the globe is delivering maximum short and long-term sustainable growth.

We discussed -

• What took Mitch from his early career in advertising and marketing through to Leading Marketing Analytics for one of the world’s largest B2C media brands
• What is “Marketing analytics” and why is it such an important function for any customer-led organization?
• How does Marketing analytics differ from more traditional BI?
• What steps should companies take BEFORE they look to make their first “Marketing analytics” hire?
• Best ways to unite and grow a remote workforce?
• What makes a great “Marketing analyst” and for those candidates currently working in a more classic BI/Data role, what can they do to break into “Marketing analytics”.
• What does the future hold for marketing analytics?

This was a great discussion, where Mitch provided a cracking insight into the world of marketing and analytics! For anyone interested in understanding how organizations know how to target and market to you, this is the episode for you!

Kedeisha's career started in the US Navy where she was an Aviation Electronics Technician, and in 2021 she decided to pursue a career in Data!

Kedeisha has amassed a fantastic following on Linkedin and is a regular contributor to the Data and Tech community.

She is the founder of Data in Motion which is a fantastic ed-tech platform for the Data community, which has a whole host of resources for any aspiring data professional!

We covered a LOT, including -

• What steps Kedeisha took to become a consultant in Data from an early career in the US Navy
• What made Kedeisha set up and launch Data In Motion
• Her top tips and advice to anyone that is looking to break into the world of analytics?
• What steps companies should take to retain and create a more committed and engaged Data workforce?
• What are the most important factors job seekers should consider when moving roles?
• What the future holds for Analytics engineering?

This is a MUST listen for anyone that wants to know what it takes to break into this fascinating space from someone that did just that!

John is the Senior Director of Data Science and Analytics at ACV and they are one of America’s largest digital marketplaces and data services partners for the automotive sector.

In the first episode of a 3 part series, we will be talking about how ACV trained, hired, and developed their very own Data Team in the Buffalo area!

We discussed -

• The background to the project at ACV and why Data & Analytics are seen as such an important driver behind their growth.
• The importance of having senior stakeholder buy-in and support from the very beginning.
• How John and ACV overcame the challenges of building and hiring a specialist data team in Buffalo, New York.
• What was behind their vision for launching a boot camp and how that worked in practice
• As John looked to scale out his team, what steps did he take in order to create a management layer?
• How John created and established a clear set of values and guiding principles that the team was brought into?

This is a great episode for anyone that is interested in hearing what it takes to create a brand new team, from scratch and overcome one of the MAJOR blockers to many firms that look to hire, LOCATION!

He has an excellent background in Artificial intelligence and Machine Learning which has seen him build and launch some of the most innovative and cutting-edge AI products for Microsoft, YouTube, and Genpact.

We discussed -

• His background and journey to Google(from a non-classic career in finance to launching and selling his first software firm)
• When should companies look to establish a dedicated Data Product function, and what considerations should they make before making those first hires?
• What is behind the demand and interest in Data Product Management?
• What should people consider before deciding on a career in Data Product management?
• What considerations should candidates consider before deciding whether to join a FAANG or Large Tech firm?
• What does the future hold for AI and ML heading(from a Product perspective)

Here are the resources Alon mentioned for anyone looking to switch to a Product career!

1. Cracking the PM Interview

2. Cracking the PM Career

3. Inspired

4. Product School

5. Exponent

We discussed -

• What steps companies should take when establishing a culture and environment of self-service analytics and who is ultimately responsible for the internal adoption of those tools?
• Why Data governance should be embraced and not feared.
• What are the benefits of organizations adopting and fostering an experimentation-based culture regarding product development and analytics?
• What should leaders do in order to create a united workforce and an environment of continual learning?
• What steps did Michelle take to navigate her career which saw her becoming a "Head of Data" within the modern data stack for some of the most exciting tech firms in the US today?

This was a cracking episode for anyone interested in how to create a culture of self-service analytics and fantastic work culture, whilst also appreciating that the success of so many projects within Data start and end with a robust and strict Data governance process!

We discussed -

• What is behind the rise in importance and demand for Data modelers with experience in the modern data stack
• How DBT has become the modeling tool of choice
• How Tre navigated his way through to his current role, despite not having the classic STEM education and Data analyst background
• Why is it so important for data engineers and architects to be as strong on the stakeholder/business side as they are technical?
• Best advice to analysts trying to break into the Data architecture and engineering field.
• What steps could hiring managers take when trying to attract and retain engineers?
• What makes a good Data architect?

This episode will provide aspiring Data professionals with the confidence and tools to pursue a career in data, irrespective of their background!

Rob has a wealth of experience within Tech and Data and has built and scaled Product teams for the likes of HP, Amazon, NetApp, Zerto, and Snowplow.

We discussed -

• What is behind the rise in demand for Data Product Managers
• What are the main blockers for companies when it comes to setting up a product team within Data
• What makes a good Data product manager
• What does the future hold for Data product
• What steps should companies consider before looking to make their first Data product hire
• For those candidates who don’t have a classic product and/or Data background, what steps should they take to break into this space? www.pragmaticinstitute.com

This episode is a MUST listen to anyone that is interested in knowing more about Data product management and what is behind its rapid rise in popularity!

In this episode, we will discuss -

• The importance of having a clear roadmap and infrastructure in place before trying to perform any analysis and deliver reporting capability to stakeholders
• How Zach defined his team's values on day one BEFORE a single hire had been made
• What steps he took when deciding on what the modern data stack should consist of
• How to strike that right balance of player and coach in a growing business
• Top tips and advice for those looking to break into management
• The benefit of networking and building up a trusted network of contacts in this space
• What is behind the rise in popularity of Analytics engineering, and how to break into it

In this episode, we will be discussing

• The steps Madison took to become an Analytics engineer
• What is behind the rise in popularity and demand for Analytics engineers
• How the role of the "Data engineer" could be changing
• What can people do to put themselves in the best possible position to secure that dream analytics role
• What are the best ways to stand out in this crowded and very competitive market

In this episode, we will be discussing

• What led Dustin and Brandi to set up the www.datacareerssummit.com
• What steps can organizations and hiring managers take in order to secure the best possible talent
• With the market being so competitive and the average tenure of a Data scientist being 18 months, what can companies do to create a more committed and engaged workforce
• What are the most important factors job seekers should consider when looking to move positions
• For entry-level analysts, what are the best ways to stand out and get noticed?
• How can you learn and pick up new tools without the need to spend ANYTHING!

In this episode, we will be discussing

• How Khurram forged a career in Data science which saw him transition from actuarial science to data science, filling the skill gaps and making strategic moves
• How he went about doubling his team of data scientists and engineers in 2022
• What steps you should take when building an elite analytics team
• How to build a retain a top data team
• Advice to new leaders in data science and tips on how to manage up and down
• When moving roles, what are the most important factors to consider
• How to market yourself and the steps you should take when creating an online presence

If want to stay up-to-date with the latest breakthroughs and trends in the world of Data & Artificial Intelligence, and if you're curious about some of the strategies that companies and founders use to launch Data & AI products, then you're in the right place!

Our aim is to bring together a diverse lineup of fantastic guests, from Founders to accomplished leaders and product owners at some of the most fascinating Data & AI companies worldwide who will each offer you a unique insight into what it takes to launch and scale a great Data business!

Thank you for tuning in, and I hope you enjoy the episode!