ThinkData Podcast

Dataworks Group Limited

The Growth Playbook brings you inside the minds of the leaders shaping Data and AI. Each episode, we sit down with some of the most interesting voices in the industry, from startup founders to seasoned execs, to hear their stories, lessons learned, and the real strategies behind growing great businesses.

  1. S4 | E11 | How AI Is Fixing Healthcare’s $1 Trillion Admin Problem with Jaimal Soni - Insight Health

    3月24日

    S4 | E11 | How AI Is Fixing Healthcare’s $1 Trillion Admin Problem with Jaimal Soni - Insight Health

    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 simpleAutomate the adminReduce the noiseGive doctors their time back We go deep on: Where the healthcare system is really failing todayThe technical breakthroughs behind voice AI speaking directly to patientsWhat clinics are actually doing when they adopt AIWhy was Insight Health built by both clinicians and technologistsWho really buys AI in healthcare and what makes them say yes This is not about replacing doctors It is about making them more effective

    29分
  2. S4 | E10 | Why AI initiatives fail to deliver measurable results - CDO @ Precisely

    3月12日

    S4 | E10 | Why AI initiatives fail to deliver measurable results - CDO @ Precisely

    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.

    29分
  3. S4 | E9 | The Hidden Cost of Time: AI, Productivity, and Measuring Real ROI with Laurel CTO - Jason Li

    3月5日

    S4 | E9 | The Hidden Cost of Time: AI, Productivity, and Measuring Real ROI with Laurel CTO - Jason Li

    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.

    29分
  4. S4 | E8 | The Future of Mental Health Monitoring with AI | Loren Larsen, CEO of Videra Health

    2月26日

    S4 | E8 | The Future of Mental Health Monitoring with AI | Loren Larsen, CEO of Videra Health

    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.

    26分
  5. S4 | E7 | Why Data, Not Models, Will Decide the Winners - Sandeep Chinchali (Poseidon)

    2月23日

    S4 | E7 | Why Data, Not Models, Will Decide the Winners - Sandeep Chinchali (Poseidon)

    Today’s guest is Sandeep Chinchali, Chief Scientist at Poseidon, a company building the data layer AI actually needs to improve. 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.

    25分
  6. S4 | E6 | AI in Drug Discovery with Josh Haimson - Inductive Bio

    2月8日

    S4 | E6 | AI in Drug Discovery with Josh Haimson - Inductive Bio

    AI is everywhere in biotech, but where does it genuinely create impact? 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: Where AI truly outperforms traditional approaches in drug developmentWhy computational models are finally earning real trust from scientistsWhat Inductive Bio’s Series A unlocked, and how they’re balancing speed vs depthThe role of industry partnerships and early adopters in shaping the platformWhere 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.

    26分
  7. S4 | E5 | Healthcare Doesn’t Have a Data Problem. It Has an Admin Problem with Matt Faustman @ Honey Health

    2月5日

    S4 | E5 | Healthcare Doesn’t Have a Data Problem. It Has an Admin Problem with Matt Faustman @ Honey Health

    Healthcare doesn’t struggle because of a lack of data or innovation. 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: Why EHR add-ons and traditional automation fall shortHow Honey Health decided which customers to go after first, and what they got wrongWhat makes AI agents fundamentally different from workflow toolsWhere Honey’s real competitive advantage comes fromAnd 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.

    32分
  8. S4 | E4 | Ads, Ethics, and the Future of Revenue in GenAI Apps with Mike Choi @ Koah Labs

    2月2日

    S4 | E4 | Ads, Ethics, and the Future of Revenue in GenAI Apps with Mike Choi @ Koah Labs

    AI apps are exploding, but monetisation remains one of the biggest unanswered questions. 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 CoveredWhy most AI apps struggle to monetise sustainablyThe origin story behind Koah LabsWhy traditional advertising breaks in chat-based productsHow to monetise AI without harming user experienceConvincing AI founders and advertisers to embrace new modelsThe future of advertising in GenAI over the next 2–3 yearsEthics, privacy, and trust in AI-powered ad systems

    29分
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予告編

番組について

The Growth Playbook brings you inside the minds of the leaders shaping Data and AI. Each episode, we sit down with some of the most interesting voices in the industry, from startup founders to seasoned execs, to hear their stories, lessons learned, and the real strategies behind growing great businesses.

情報

  • クリエイター
    Dataworks Group Limited
  • 配信期間
    22年 - 26年
  • エピソード
    101
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © Copyright 2026 Dataworks Group Limited
  • 番組のWebサイト
    ThinkData Podcast