Stratola Spectrum - Tech Conversations about AI, Data, and Automation

About Stratola Spectrum - Tech Conversations about AI, Data, and Automation

Dinesh Chandrasekhar, CEO & Founder of Stratola, is a technologist and GTM specialist. In this podcast, he interviews various CxOs and technical leaders across the tech spectrum and discusses various extremely current and relevant topics that span AI, Automation, and Data. For more information about Stratola, visit www.stratola.com.

Publisher

Dinesh Chandrasekhar

Category

technology

Language

en

Explicit

No

First episode

17 Feb 2025

Latest episode

7 May 2026

Latest episodes

12 episodes in the feed.

1. 

   7 May 2026

   Stratola Spectrum S2 E5: Context — The Missing Layer in Enterprise AI | Prukalpa Sankar, Atlan

   Everyone has been chasing smarter models. Bigger context windows. Faster inference. But the agents enterprises are deploying are still getting things wrong. Not because the models are not good enough. Because they do not understand the business. In this episode of Stratola Spectrum, Dinesh Chandrasekhar sits down with Prukalpa Sankar, founder and co-CEO of Atlan, to talk about the problem sitting underneath almost every failed enterprise AI deployment right now: Why AI today is valuable but not useful and what the difference actually means. What the question "what are my top 10 customers" reveals about how unprepared most enterprises actually are. Why the bottleneck in enterprise AI is no longer technology and what is actually slowing deployments down. How Atlan went from five months in testing hell to five days in production for their customers. 🎙️ Prukalpa Sankar, Founder and Co-CEO, Atlan🎙️ Dinesh Chandrasekhar, Chief Analyst and Founder, Stratola🔗 https://www.stratola.com 00:00 — Introduction: Dinesh opens with the real question behind enterprise AI today. 00:23 — The Real Fault Line in Enterprise AI: Why the conversation is shifting from model performance to context. 02:13 — Meet Prukalpa Sankar, Atlan: Founder and Co-CEO of Atlan, co-founder of Social Corps the world's largest government data lake, Forbes 30 Under 30 and Fortune 40 Under 40. 03:40 — What Context Actually Is at a Systems Level: Why context is not just better retrieval or a larger token window. 04:09 — Why Onboarding an Agent Should Look Like Onboarding a Human: The parallel between how companies build institutional knowledge in human employees. 06:59 — AGI Is Already Here. It Is Just Not Useful: Why Prukalpa believes the intelligence problem is largely solved. 07:59 — The Five Layers of Context Explained: Using the question "what are my top 10 customers" to show why context is a stack of user intent, knowledge, meaning, semantics and data, not a single layer. 11:19 — Why Metadata Alone Was Never Going to Be Enough: How Atlan started as a data team solving its own problems. 13:41 — Why AI Agents Need Fundamentally Different Infrastructure: Every agent action starts with a context search and the latency. 15:11 — Atlan's Autonomous Workflow Milestone: The first week where autonomous workflows created more context than humans and AI-assisted workflows combined. 19:04 — Why Ontology Is Re-Emerging Right Now: The shift from bounded use cases like dashboards to unbounded agent use cases brought ontology back from niche construct to production requirement. 21:38 — We Are at the Worst AI Intelligence We Will Ever See: Why the current moment is the floor not the ceiling. 25:49 — The Difference Between Context for Data and Context for AI: Why having metadata, lineage and a business glossary is a necessary foundation but still not enough to take AI reliably into production. 32:31 — Why Shared Context Layers Collapse and How to Prevent It: The lesson from Looker. 35:19 — Centralized Platform, Federated Context: How Prukalpa thinks about ownership and governance architecture for context at scale across multiple agents and systems. 35:44 — MCP and Why Protocol Lock-In Is the Biggest Risk Right Now: Why the worst thing any leader can do today is commit to any single framework. 38:50 — Where a CIO Should Actually Start: Not with the context layer but with the top business problems that need solving in the next three to six months. 41:07 — From Five Months in Testing to Five Days in Production: Why the bottleneck in enterprise AI is no longer technology and what organizational change, ownership questions. 44:06 — What Breaks First When You Have 500 Agents: The three failure modes Prukalpa sees most often across enterprise AI deployments and how to build foundations that prevent each one. 47:11 — What Prukalpa Is Most Excited About in the Next 12 Months: The emotional journey organizations go through from fear to joy as they start giving AI more control.

2. 

   28 Apr 2026

   Stratola Spectrum Season 2 Episode 4: A Playbook for Deployable Healthcare AI | Dr. Ron Razmi

   95% accuracy on a medical exam. 20% accuracy in the real world. That gap is the healthcare AI story nobody is telling loudly enough. In this episode of Stratola Spectrum, Dinesh Chandrasekhar sits down with Dr. Ron Razmi, ex-cardiologist, health AI investor at ZOI Capital and author of AI Doctor: The Rise of AI in Healthcare: Why the largest radiologist shortage in history exists despite years of AI investment. The pacemaker story. One missing data point. Almost a catastrophic decision. Why incumbents like Epic can kill your startup's pipeline without shipping a single feature. The B2C2B model quietly solving the enterprise sales problem in healthcare. Why 98% of digital health companies never reach an exit. 🎙️ Dr. Ron Razmi: https://www.linkedin.com/in/ronald-m-razmi-md-2b55b8 🎙️ Dinesh Chandrasekhar: https://www.linkedin.com/in/dineshc/ 🔗 https://www.stratola.com #HealthcareAI #AIinHealthcare #DigitalHealth #AmbientAI #HealthTech #MedicalAI #AI #StratolaSpectrum 00:00 — Introduction: Dinesh introduces Dr. Ron Razmi, his journey from practicing cardiologist to McKinsey consultant to health tech founder to author and investor in healthcare AI. 00:22 — Meet Dr. Ron Razmi: Ex-cardiologist, advisor at ZOI Capital and author of AI Doctor: The Rise of AI in Healthcare, written for builders, buyers and investors. 01:22 — The Biggest Misconception About AI in Healthcare: Everyone keeps saying AI will replace doctors. 03:21 — The Radiologist Shortage Nobody Is Talking About: AI has been detecting lesions for years. 07:27 — From WebMD to ChatGPT Health: WebMD was annoying. AI-powered self-diagnosis is a more serious problem. 09:34 — When LLM Accuracy Drops From 95% to 20%: Two studies from Nature Medicine and Microsoft confirm the same finding. Benchmark accuracy looks great. Real-world accuracy is a different story. 13:43 — Where AI Should Actually Start in Healthcare: Doctors do not need help with diagnosis. 95% of diagnoses are already on the chart. The case for starting with administrative burden. 16:19 — The Macro Environment Reshaping Healthcare AI Budgets: Medicaid rollbacks and ACA cuts are tightening budgets across the value chain and changing where spending is going. 19:03 — Why Selling Into Healthcare Takes So Long: Not one decision maker. The CMO, CTO, CFO and COO all need to say yes and each one has effective veto power. 21:52 — How Incumbents Block Startups Without Building Anything: Epic does not need a product. They just need to say they are working on it. 27:16 — The B2C2B Model Changing Healthcare Sales: Give it free to the doctors. Let them get dependent on it. Let them pressure the organization to buy it. 29:22 — Why Every AI Project in Healthcare Is a Data Project: The biggest barrier is not the algorithm. It is fragmented, siloed data that makes even good models unreliable in production. 31:07 — The Pacemaker Story: One Missing Data Point, One Near-Catastrophic Decision: Dr. Razmi's father. A beta blocker prescribed in Las Vegas. 34:38 — The Champagne That Went Flat: A startup celebrated getting oncology data from a major hospital. Then discovered the oncology team was on a completely separate EHR. 37:10 — The Adoption Scorecard for Builders, Buyers and Investors: The structured framework Dr. Razmi's team at ZOI Capital uses to evaluate health AI companies. 41:08 — Three Questions Every Hospital Should Ask Before Buying Clinical AI: Reimbursement, clinical evidence and liability. The questions most decision makers are skipping. 45:54 — The 2% Exit Rate Nobody Wants to Say Out Loud: 98% of digital health companies never reach an exit. Digital health is more than three times harder than the overall VC ecosystem. 48:52 — Where the Real Moat Is for Health AI Startups: Not the model. Workflow integration so seamless that people do not even realize their workflow changed. 51:57 — The Unit Economics Problem Most AI Startups Are Not Thinking About: Output tokens cost 20x more than input tokens.

3. 

   10 Apr 2026

   Stratola Spectrum Season 2 Episode 3: Real-Time Intelligence in the AIoT Era | Dr. Jürgen Krämer, Cumulocity

   The IoT promise was simple. Connect your machines. Get the data. Make better decisions. A decade later, most enterprises have the first two parts. The third one is still largely a human problem sitting on top of a very expensive data pipeline. In this episode of Stratola Spectrum, Dinesh sits down with Dr. Jürgen Krämer, CPO and MD, Cumulocity, to talk about what it actually takes to close that loop in the AIoT era: How agentic AI is replacing dashboards and rule engines with digital workers that manage themselves. Why the gap between monitoring and operating is where most industrial AI value sits unclaimed. What a maintenance technician's job looks like before and after AI gets involved, and why the difference is striking. How digital twins evolved from 3D visualization into the contextual layer that makes AI decisions reliable. What state and context mean in a cyber-physical system and why most enterprises are still missing both. No hype, just clarity. 🎙️ Guest: Jürgen Krämer, CPO and MD, Cumulocity, https://www.linkedin.com/in/juergenkraemer⁠ (https://www.linkedin.com/in/juergenkraemer)🎙️ Host: Dinesh Chandrasekhar, Chief Analyst, Stratola, https://www.linkedin.com/in/dineshc/⁠ (https://www.linkedin.com/in/dineshc/) 📌 Chapters timestamped below - 00:00 — Introduction: Dinesh introduces Dr. Jürgen Krämer, his journey from founding RTM in 2007 through Software AG to leading Cumulocity today.00:15 — Meet Dr. Jürgen Krämer, Cumulocity: PhD from Marburg University, patent holder in complex event processing, veteran of industrial IoT since before it had a name.01:36 — What Cumulocity Actually Does: Real customer examples from ABB, Energon wind turbines and Eaton, and what connecting industrial assets at scale looks like in practice.03:10 — From M2M to IoT to AIoT: How Cumulocity evolved through three platform waves and what each transition demanded from customers.04:54 — Agentic AI Is Shifting SaaS From Tools You Use to Digital Workers You Manage: Why dashboards and rule engines are on their way out faster than most people expect.07:40 — Monitoring vs. Operating: The Line Most IoT Platforms Cannot Cross: Passive observation versus active management, with real wind turbine examples from Jürgen.10:27 — When Do You Automate and When Do You Keep a Human in the Loop: How a human-governed rule gets defined, approved and then automated at scale.14:15 — What State Actually Means in a Cyber-Physical System: Why sensor data alone is not enough and how metadata, asset hierarchies and semantic layers make AI decisions reliable.19:39 — Digital Twins Are Not 3D Models: The SAP partnership linking ERP master data to physical OT reality and why this bridge makes AI on industrial assets possible.25:38 — The Pump Four Moment: What AI-Assisted Field Service Actually Looks Like: Vague ticket in the old world. Diagnosis, part on order, repair guide and shutdown window in the new one.28:14 — You Cannot Trust the AI: Why human oversight in physical systems is not optional and what trustworthy AI actually requires in practice.31:01 — Edge vs. Cloud Intelligence: Latency, data sovereignty, air-gapped deployments and the develop-once-deploy-everywhere paradigm.34:38 — Intermittent Connectivity and Why Apache Pulsar Is Part of the Answer: The data broker approach that keeps industrial IoT reliable when connectivity is not.38:02 — Policy-Based Automation: How You Let AI Act Without Losing Control: Parameter changes, firmware updates, versioned and auditable human-approved policies.43:13 — The Competitive Landscape and Why Bob the Builder Is the Real Competitor: What happens when enterprises build their own IoT stacks and someone says "now do the global rollout."47:46 — The Moat for the Next Few Years: Semantic Layer on Top of Hyperscalers: Why buy and build gets stronger with agentic AI and what hyperscalers alone cannot provide.#AgenticAI #IoT #AIoT #EdgeAI #IndustrialAI #EnterpriseAI #DigitalTwin #AI #MLOps #StratolaSpectrum

4. 

   20 Mar 2026

   Stratola Spectrum Season 2 Episode 2: The Human Side of AI Adoption | Kim Manis, CVP, Microsoft Fabric

   Dinesh Chandrasekhar interviews Microsoft's Kim Manis about how AI adoption requires addressing human and organizational challenges, not just technology, to achieve true ROI.

5. 

   3 Mar 2026

   Stratola Spectrum Season 2 Episode 1 - Queries to Conversations : Is AI Redefining Databases? - With Shireesh Thota, Corporate Vice President, Databases at Microsoft

   Dinesh Chandrasekhar interviews Shireesh Thota, Corporate Vice President at Microsoft, exploring how AI redefines database architecture and the future of enterprise data infrastructure.

6. 

   23 Dec 2025

   Stratola Spectrum #7 - The World of AI from a Chief AI Officer's Vantage Point - Bob Friday - HPE

   Chief AI Officer Bob Friday of HPE discusses the role of AI executives, adoption challenges, security issues, and the future of Agentic AI with Dinesh Chandrasekhar in an interview.

7. 

   15 Sept 2025

   Stratola Spectrum #6 - Synthetic Data - Powering today's AI models - Muckai Girish Rockfish Data

   Muckai Girish of Rockfish Data defines synthetic data and its crucial role in advancing modern AI models, in an interview with Dinesh Chandrasekhar of Stratola.

8. 

   29 Jul 2025

   Stratola Spectrum #5 - Solace - Agent Mesh and Integration Workflows with AI

   Dinesh Chandrasekhar interviews Ed Funnekotter about Agent Mesh, which allows AI agents to communicate, addressing the growing complexity of integration in modern systems.

9. 

   11 Apr 2025

   Stratola Spectrum #4 - Massimo Pezzini - Agentic Automation and Application Integration

   Dinesh Chandrasekhar interviews Massimo Pezzini about how agentic automation transforms enterprise workflows and application integration, exploring its future impact.

10. 

    24 Feb 2025

    Stratola Spectrum #3 - Conor Twomey - AI Code Generation and Autonomous Agents

    Conor Twomey, former Head of AI Strategy at KX, discusses AI code generation and autonomous agents with host Dinesh Chandrasekhar, exploring how agents will empower everyone to become an AI engineer.

11. 

    18 Feb 2025

    Stratola Spectrum #2 - Unstract - Next-Generation Intelligent Document Processing

    Dinesh Chandrasekhar, Chief Analyst at Stratola, interviews Shuveb Hussain, CEO of Unstract, about Unstract's next-generation intelligent document processing solutions for extracting data from unstructured text.

12. 

    17 Feb 2025

    Stratola Spectrum #1 - Data Security and Privacy in Enterprise Automation and AI

    Dinesh Chandrasekhar interviews Amar Kanagaraj and Steve Shah on safeguarding enterprise automation and AI with robust data security and privacy strategies.

Who has been a guest on Stratola Spectrum - Tech Conversations about AI, Data, and Automation

Names identified in recent episode analyses. Showing up to five guests.

• Kim Manis
• Shireesh Thota
• Bob Friday
• Muckai Girish
• Ed Funnekotter

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

600

Score snapshot 15 Sept 2025

Apple Podcasts (US)

5.0 / 5

2 ratings

Spotify

5.0 / 5

5 ratings

Podcast Authority Score: 23 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

7

Social presence

0

YouTube

66

Engagement

32

Contact Stratola Spectrum - Tech Conversations about AI, Data, and Automation

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.