TeqTalk with Jas

TeqTalk is a podcast series by Jas Kaur that explores various topics related to technology, data-driven engagement, and omni-channel marketing. The podcast provides insights and discussions on how AI and advanced technologies are transforming industries, helping businesses enhance customer engagement and drive success. TeqTalk is designed to be an informative and engaging resource for professionals looking to leverage technology for growth, efficiency, and innovation across sectors.

TeqTalk with Jas is a news podcast hosted by Unknown Host, with 66 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts TeqTalk with Jas, a news show with 66 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  TeqTalk with Jas

  Why Enterprise AI Struggles to Reach Production | Inside CoreWeave’s Playbook

  Sep 16, 202632 minS1

  How do you scale enterprise AI without turning access, governance, and production readiness into bottlenecks? In this episode, Prashant Motewar, Head of Business Technology and enabling Data/AI at CoreWeave, joins Jas Kaur to share how CoreWeave is democratizing AI across the organization, giving employees access to AI tools, enterprise data, and a structured path to build, deploy, and improve internal applications. The conversation explores how business users are becoming AI builders, how CoreWeave moves ideas from experimentation to production, and how security guardrails, MCP-enabled context, observability, and governance are built into the process. Prashanth also explains CoreWeave’s approach to build vs. buy, why AI usage can signal which applications are solving meaningful business problems, and why speed with precision matters when scaling AI. ⏱️ Timestamps 00:00 - Scaling enterprise AI beyond adoption 02:57 - From Equinix to CoreWeave: Democratizing AI 05:08 - CoreWeave’s AI platform: Tools, context and internal apps 10:12 - Speed, business engineers and low-friction adoption 18:50 - Enterprise AI use cases and the build-vs-buy decision 22:43 - Scaling AI enablement and predictive data center operations 25:39 - Governance by design, token usage and app support 28:56 - Leadership, AI culture and what drives innovation --------- ️ Guest: Prashant Motewar, Head - Business Technology, and enabling Data/AI at CoreWeave Prashant Motewar is a transformational IT executive leading enterprise systems, data, and AI enablement at CoreWeave. With nearly three decades of experience across global Fortune 500 companies, he develops business-outcome-driven technology strategies that use data and AI to drive measurable impact. LinkedIn: https://www.linkedin.com/in/prashant-motewar/ ️ Host: Jas Kaur | CTO, Teqfocus | Host, TeqTalk & East Bay CXO Meetup Architecting enterprise AI-powered digital transformation and building scalable, data-driven systems that simplify AI adoption across industries. LinkedIn: https://www.linkedin.com/in/jas-kaur-5396b237 Apply to be a Guest on TeqTalk: https://www.teqfocus.com/teqtalks/ --------- About the podcast: TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation, especially in healthcare, pharma, and the tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the world. From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions. Subscribe to stay ahead in the world of artificial intelligence, cloud data platforms, healthcare tech, and business innovation. #enterpriseai #aigovernance #agenticai #coreweave #teqtalk

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  TeqTalk with Jas

  Enterprise AI Architecture Explained in 13 Minutes

  Sep 9, 202613 minS1

  Your enterprise AI agents can execute a workflow perfectly and still make the wrong decision. In this episode of TeqTalk, Jas Kaur, CTO at Teqfocus, unpacks the shift from workflow automation to intelligent decision systems, and what that shift demands from enterprise AI architecture. ️Timestamps: 00:00 - Enterprise AI: Beyond Workflow Automation 01:32 - The Evolution of Enterprise Intelligence 03:19 - Enterprise AI Architecture: Events, Context and Decisions 05:12 - Agent Harnesses, Governance and Feedback 07:33 - How to Measure Enterprise AI Success 09:45 - Outcome Intelligence with Agently AI Jas breaks down three things enterprise AI leaders need to measure before calling any AI agent a success: • Why AI agent governance and bounded autonomy matter more than raw automation • The Outcome Intelligence framework: system performance, decision quality, and business outcome, measured separately • Why AI observability has to expand past uptime and latency to actually track AI decision making Teqfocus has it’s own agentic AI practice, where these Outcome Intelligence principles are built directly into how enterprise AI agents are deployed, governed, and measured as real AI in production. For CIOs, CDOs, enterprise architects, business systems leaders, and technology executives scaling enterprise AI agents, this episode offers a practical framework for building, governing, and measuring AI in production. --------- ️ Host: Jas Kaur | CTO, Teqfocus | Host, TeqTalk & East Bay CXO Meetup Architecting enterprise AI-powered digital transformation and building scalable, data-driven systems that simplify AI adoption across industries. LinkedIn: https://www.linkedin.com/in/jas-kaur-5396b237 Apply to be a Guest on TeqTalk: https://www.teqfocus.com/teqtalks/ --------- About the podcast: TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation, especially in healthcare, pharma, and the tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the world. From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions. Subscribe to stay ahead in the world of artificial intelligence, cloud data platforms, healthcare tech, and business innovation.

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  TeqTalk with Jas

  AI Harness: What Makes Agents Reliable, Not Just Smart

  Sep 1, 202627 minS1

  AI agents are getting smarter, but intelligence alone does not make them reliable. This episode breaks down Harness Engineering, the operating system around AI agents that determines what they know, what they can do, what they remember, how they recover, and how safely they act in production. Using a real refund-agent scenario, we unpack the 9 layers of reliable enterprise AI agents: Context, orchestration, sub-agents, tools, skills, state and memory, permissions, verification and observability, and recovery. You’ll also see what production lessons from OpenAI and Anthropic reveal about agent reliability, human approval fatigue, guardrails, durable state, and why traditional software engineering becomes even more important when AI starts taking real-world actions. Timestamps: 00:00 Two Teams. Same AI Model. Wildly Different Results — Why? 01:06 It's Not the Model. It Never Was. 04:27 What Is Harness Engineering? (The Operating System Nobody Builds) 10:31 The Single Most Important Rule in AI Agent Design 11:56 Why Your Vector Database Is NOT Your Competitive Moat 19:57 OpenAI's 5-Month Experiment: 3 Engineers, 1,500 Pull Requests 21:20 97% Approval Rate. 13.6% Actual Safety. The Data Is Alarming. 24:39 The 9-Question Checklist: Run This on Any AI Agent You're Building 25:43 Prompt Engineering vs. Context Engineering vs. Harness Engineering 26:44 Intelligence Proposes. The Harness Decides What Actually Happens. If you are building or deploying enterprise AI agents, this episode gives you a practical architecture checklist for evaluating whether your agent is actually ready for production. --------- ️ Host: Jas Kaur | CTO, Teqfocus | Host, TeqTalk & East Bay CXO Meetup Architecting enterprise AI-powered digital transformation and building scalable, data-driven systems that simplify AI adoption across industries. LinkedIn: linkedin.com/in/jas-kaur-5396b237 Subscribe to the TeqTalk LinkedIn Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7140699953898717184 Apply to be a Guest on TeqTalk: https://www.teqfocus.com/teqtalks/ --------- About the podcast: TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation, especially in healthcare, pharma, and the tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the world. From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions. Subscribe to stay ahead in the world of artificial intelligence, cloud data platforms, healthcare tech, and business innovation. #HarnessEngineering #AgenticAI #AIAgents #EnterpriseAI #teqtalk

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  TeqTalk with Jas

  Can FQHCs Fix America’s Healthcare Access Problem?

  Aug 19, 202635 minS1

  The U.S. healthcare industry represents approximately $5.3 trillion, yet community health centers serve millions of people with a fraction of that spending. Mallika Madakasira shares what this looks like on the ground at a community health center serving roughly 30,000 patients. She explains why healthcare outcomes can depend on something as fundamental as food, housing, transportation, or having someone available to help a vulnerable patient navigate the system. The conversation also goes inside the technology challenge. How can healthcare organizations use AI, ambient scribes, data warehouses, dashboards, and automation when there is little room for failed experimentation? Timestamps: 00:00 Why Community Healthcare Matters 03:47 The $5.3 Trillion Healthcare Paradox 11:18 The Surprising 80% Behind Health Outcomes 12:04 Healthcare Beyond the Doctor's Office 14:12 What Vulnerable Patients Actually Need 22:17 Is Healthcare AI Solving the Right 20%? 24:38 AI That Gives Clinicians Time Back 26:50 Turning Healthcare Data Into Decisions 30:26 Has Healthcare Become a Luxury? 34:24 What Would It Take to Fix the System? For healthcare leaders, clinicians, population health teams, and health technology professionals, this episode offers a practitioner-level look at the gap between the healthcare innovation conversation and the reality of delivering care. --------- ️ Guest: Mallika Madakasira, Director of Population Health, MCHC Health Centers https://www.linkedin.com/in/mallika-madakasira-877b76/ ️ Host: Jas Kaur | CTO, Teqfocus | Host, TeqTalk & East Bay CXO LinkedIn: linkedin.com/in/jas-kaur-5396b237 Resources used: https://docs.google.com/document/d/16Pbdq1XRg-CPJGYKXYKFRvpe2SFkjaxrmqaqcQzymlc/edit?usp=sharing Subscribe to the TeqTalk LinkedIn Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7140699953898717184 Apply to be a Guest on TeqTalk: https://www.teqfocus.com/teqtalks/ --------- About the podcast: TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation, especially in healthcare, pharma, and the tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the world. From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions. Subscribe to stay ahead in the world of artificial intelligence, cloud data platforms, healthcare tech, and business innovation.

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  TeqTalk with Jas

  Your AI Agent Is Missing These 4 Memory Layers

  Aug 5, 202639 minS1

  For an enterprise agent to remember previous interactions, apply company knowledge, follow business rules, and act reliably, organizations must build an entire memory architecture around it. In this episode, Jas Kaur and Ajay Kumar break down the difference between context and memory and explain the four layers behind enterprise AI agents. Working memory helps an agent manage the current task. Episodic memory records what happened before. Semantic memory stores trusted enterprise knowledge. Procedural memory defines how actions should be completed. The discussion also examines the risks of oversized context windows, poor data quality, weak instructions, and insufficient governance. Ajay shares a real enterprise example where an AI agent distributed more than $500,000 in unintended discounts because the surrounding memory and control system was not designed correctly. Timestamps: 00:00 Why AI models do not naturally remember 03:54 Context vs memory: the critical difference 06:21 Why bigger context does not mean better reasoning 09:53 The four layers of enterprise AI memory 14:08 Episodic memory: what happened before 16:06 Semantic memory: what the enterprise knows 20:22 Procedural memory: how AI gets work done 24:18 Why humans must remain at the helm 27:13 Why AI projects fail beyond the model 28:46 The $500K AI agent failure 32:07 The enterprise data problem 34:20 MemoryOps and the future of AI memory 37:23 What leaders should invest in now This conversation is especially relevant for CIOs, CTOs, CDOs, enterprise architects, data leaders, and executives responsible for AI strategy and governance. --------- ️ Guest: Ajay Kumar, Head of Artificial Intelligence and GTM, Salesforce. LinkedIn: https://www.linkedin.com/in/ajay-ai/ ️ Host: Jas Kaur | CTO, Teqfocus | Host, TeqTalk & East Bay CXO LinkedIn: linkedin.com/in/jas-kaur-5396b237 Resources used: https://docs.google.com/document/d/12MngNkBNG9AZZSStZLRXeULTJ2h5TqpX_lfUouqqeL8/edit?usp=sharing Subscribe to the TeqTalk LinkedIn Newsletter: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7140699953898717184 Apply to be a Guest on TeqTalk: https://www.teqfocus.com/teqtalks/ --------- About the podcast: TeqTalk is a technology podcast hosted by Jas Kaur, focused on AI, data, and digital innovation. It features conversations with CXOs, CIOs, data leaders, and industry experts from around the world. The show explores enterprise transformation across healthcare, pharma, and technology. Each episode connects emerging technology with real business strategy. TeqTalk delivers practical insights, executive perspectives, and trends shaping the future of enterprise solutions.

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