🎙️ Inside the Factory: Real-Time AI Intelligence for Manufacturing | Think AI Podcast Ep. 3

Your machines already know what's wrong — but nobody's listening. Dave Goyal takes you inside 4 real manufacturing companies to show how real-time data and AI transformed their operations. Plus: a 4-layer framework to get started and 7 AI use cases you can implement now.

⏱️ In this episode:

00:21 – Why your factory machines are smarter than your spreadsheets

03:15 – The data silo problem: ERP, MES, and PLCs that don't talk

06:30 – 98% exploring AI, only 20% ready — here's why

08:45 – Case Study 1: Professional audio equipment

13:00 – Case Study 2: Global outdoor adventure gear

17:30 – Case Study 3: Medical devices (FDA compliance & traceability)

22:30 – Case Study 4: Fall protection safety equipment

27:00 – The 4-layer framework: ERP → Shop Floor → Analytics → AI

32:00 – 7 AI use cases: predictive maintenance, computer vision QA & more

42:00 – "My ERP handles everything" — why that's not enough

46:00 – AI Tip of the Day: Analyze any spreadsheet in 60 seconds

50:00 – Series recap and what's next

If this changed how you think about manufacturing data, subscribe and share it with a plant manager, CIO, or operations leader who needs to hear it.

🔗 Links & Resources

📖 Real-Time Business Intelligence Mastery — DaveGoyal.com

🌐 DaveGoyal.com

💼 LinkedIn: Dave Goyal

🎙️ Ep 1: Personal Journey & First AI Assistant | Ep 2: Healthcare & AI

ManufacturingAI #RealTimeData #SmartFactory #DataAnalytics #ThinkAIPodcast

The U.S. healthcare system loses $260 billion a year. Not from malpractice. From paperwork, billing errors, and missing data.

In this episode, Dave Goyal — founder of Think AI (top 1% of 500,000 Microsoft partners), Harvard-trained in AI for healthcare — shares 15+ years of real healthcare projects. No theory. No hype.

You’ll hear how he built a claims system from zero that generated $100M+ in annual revenue. How he designed data strategies for entire health networks. How he helped non-profit hospitals turn buried patient records into life-saving insights.

Plus: six back-office AI use cases any healthcare org can start today, a straight-talk segment on privacy and HIPAA, and an AI Tip of the Day you can try in two minutes.
Next up: Episode 3 — AI in Manufacturing

linkedin.com/in/davegoyal | davegoyal.com

#HealthcareAI #RevenueCycleManagement #DataStrategy #ThinkAI #AIpodcast

Episode 1: From Leg Braces to Leading AI — My Story
What does a kid who couldn't walk in central India have to do with artificial intelligence? Everything.

In this debut episode of the Think AI Podcast, Dave Goyal shares the unfiltered story behind the brand — from growing up with a physical disability in Indore, India, to building one of the top 1% Microsoft Data & AI consulting firms in the world. You'll hear about the father who carried him to school, the best friend who taught him to ride, 400 walk-in interviews in six months, building a system that took a medical device company from zero to $100M+ in revenue, and why he's now launching Data & AI Studio to make artificial intelligence accessible to everyone.

This isn't a tech talk. It's a human story about resilience, reinvention, and what happens when you refuse to let anyone else define your limits.

In this episode:

Growing up with a disability and finding independence through a modified Vespa scooter
The blind musician friend who planted the first seed of entrepreneurship
From Silicon Valley biotech to white-hat hacking across 20+ countries
Co-founding Think AI and reaching the top 1% of Microsoft's 500,000 global partners
Why a 95% project success rate in an industry that averages 50–70%
The three coaching experiences that changed everything
Introducing Data & AI Studio: community, packaged AI solutions, and coaching
AI Tip of the Day: Build your first AI assistant in 10 minutes (full prompt included)

Coming in Episode 2: A deep dive into healthcare and AI — real projects, real revenue, and what most leaders are getting wrong.

Connect with Dave:
LinkedIn: [Dave Goyal]
Website: davegoyal.com

What happens when someone with 17 years of IT strategy experience gets a front-row seat to the AI transformation inside a global tech enterprise? Priya Udeshi is Chief of Staff to the CIO and Head of IT PMO, sitting at the intersection of AI strategy, governance, and execution. She shares how she balances enterprise-scale agent deployments with democratized AI for every employee, why old governance frameworks are breaking, and what CIOs need to do right now to stop falling behind.

In this episode:
00:00 Meet Priya Udeshi: From PMO leader to Chief of Staff
05:25 AI curious vs. AI enthusiast vs. AI skeptic: Where do you fall?
08:24 Enterprise search as the real solution to meeting overload
11:59 Why PPM tools fail and what actually works
18:55 AI is in the passenger seat, I’m driving
22:31 AI doubles capability every 3.3 months. What that means by 2030
24:00 Agent sprawl is real and governance has to evolve
31:16 Hallucinations: What’s working to contain them
41:05 What CIOs should be doing RIGHT NOW
44:33 Measuring AI-assisted engineering with real KPIs
47:06 Priya’s 7-year-old built a children’s book with AI
52:04 Trust your gut: Advice to her younger self

If this conversation sparked something for you, hit Subscribe and drop a comment with your biggest AI challenge right now. New episodes every week.

What happens when a cybersecurity leader who has sat on every side of the tech table — customer, reseller, distributor, and vendor — decides the future belongs to AI? Alex Ryals, CISO and SVP at MicroAge (celebrating 50 years!), breaks down why most companies are getting AI security dangerously wrong, and what to do before you flip the switch on Copilot or any AI tool.

In this episode:
00:05 — Intro: Alex's rare career journey across all four sides of the tech channel
03:47 — Why Alex traded global scale at TD SYNNEX for a smaller, more impactful role
10:53 — As a CISO, how do you balance "move fast" with "stay safe"?
14:02 — Shadow AI: the silent risk happening in your company right now
18:46 — Building a Copilot sales assistant and using AI avatars on YouTube
22:34 — Humanoid robotics, skills marketplaces, and where IT partners fit in
25:51 — MicroAge at 50: bankruptcy, reinvention, and lessons for every tech company
29:53 — Octum.ai: why data hygiene comes before any AI investment
33:30 — First move for leaders who don't know where to start with AI
If you're a business leader sitting on the fence about AI, this episode will either push you off or hand you a map. Like, subscribe, and drop your biggest AI security question in the comments.

🔗 Links & Resources
[MicroAge YouTube Channel] — Search "MicroAge" on YouTube
[Cybersecurity Deciphered] — Alex's personal channel: youtube.com/CybersecurityDecyphered
[Think AI Consulting] — thinkaicorp.com
Dave Goyal - davegoyal.com
[Add additional links here]

The Long Arc of Data and AI with Reza Rad

Reza Rad has watched every Microsoft data platform turn since SQL Server. 15-time MVP. Founder of RADACAD. Author of seven books. 10 million YouTube views. In this episode he tells Dave Goyal exactly which workforce AI is replacing, why your Copilot output is only as good as your star schema, and what a 22-year-old should spend the next two years learning if they want to survive the next decade.

In this episode:

00:00 Cold open: Who AI is actually replacing

00:34 Welcome and intro

01:48 What has actually changed and what has not in the AI era

07:52 Why Copilot in Power BI fails on a bad data model

10:39 The CFO who got the right Q3 number from stale data

14:59 Why AI is replacing juniors, not seniors

16:02 Real Fabric and AI customer outcomes

20:39 Governance, F-SKUs, and the iceberg under every AI investment

24:49 Mindset, energy, and surviving 20 years of platform turns

29:36 What Reza would tell a 22-year-old today

34:18 Power BI and Fabric Summit and why virtual beats in-person

37:55 Music, pattern, and improvising inside structure

42:13 What kept the content engine running for a decade

44:01 One thing AI-curious, AI-enthusiast, and AI-skeptic should each learn this quarter

47:02 New Zealand vs US adoption curves

49:22 Closing word

If this conversation helped you frame your own Power BI, Fabric, or AI strategy, share it with one teammate wrestling with the same questions. Subscribe for weekly conversations on building real AI in real companies.

---

🔗 Links and Resources

RADACAD Academy: https://radacad.com

Reza on LinkedIn: https://www.linkedin.com/in/rezarad/

Reza's books on Amazon: https://amzn.to/3QOdC4I

Power BI and Fabric Summit: https://globalpowerbisummit.com/

Think AI Podcast: https://bit.ly/ThinkAIPodcast

#PowerBI #MicrosoftFabric #DataAndAI #Copilot #RADACAD

What do music and regulated manufacturing AI have in common? More than you'd think. Nilesh Maheshwari, founder of Emorphis, Emorphis Health, and Yuktra AI, joins Dave Goyal to unpack why the hardest places to deploy AI (pharma, healthcare, regulated plants) demand faithfulness over cleverness — and why structure and freedom aren't opposites.

In this episode:

00:00 Why a "knowledge thread" beats a database on the shop floor

04:17 The real pain signal that built Yuktra (hint: it wasn't "we want AI")

07:08 Guardrails for regulated AI — why clever LLMs are dangerous

10:34 The plant-worker pushback that killed fancy AI answers

13:23 Music, discipline, and how structure creates freedom

18:54 What most US founders get wrong building with India teams

21:07 Why there's no such thing as a "best product"

29:22 Curious, enthusiast, or skeptic? Nilesh's take on AI

If you lead a plant, hospital, lab, or any regulated environment and you're wondering where AI actually fits — this one's for you.

👉 Subscribe for more conversations on Data, AI, and the humans behind the systems.

💬 Drop a comment: Are you AI curious, enthusiast, or skeptic?

---

🔗 Links & Resources

- Yuktra AI: https://yuktra.ai

- Emorphis Health: https://emorphis.health

- Nilesh on LinkedIn: https://www.linkedin.com/in/nileshmaheshwari/

- Dave on LinkedIn: https://www.linkedin.com/in/davegoyal/

#ThinkAIPodcast #RegulatedAI #ManufacturingAI #PharmaAI #FounderConversations