Ship AI

Manav Gupta
  • 0.0 (0)
  • TECHNOLOGY

From 0 to Production. Practical tips, tricks, and best practices to make AI useful for production in the real world!

  1. 6D AGO

    Responsible AI by Design | Alex LaPlante, RBC

    Alex LaPlante is VP of Cash Management Technology at RBC, former Interim Head of Borealis AI, co-author in Harvard Business Review, and a member of Canada's federal AI Strategy Task Force. In this conversation, she unpacks what separates organizations that actually ship AI from those stuck in demo mode — and why the answer is less about technology than culture, cross-functional collaboration, and asking the right questions before you build. What we cover: The "can we / should we" framework for every AI projectWhy responsible AI has to be designed in from day one, not bolted on at the endHow RBC built an enterprise-grade MLOps platform to scale AI safelyWhy "developer productivity" is the wrong frame — and what to measure insteadAgentic AI in regulated industries: the realistic deployment pathCanada's AI talent and commercialization gap — and what the Task Force is recommending

    47 min

  2. MAR 17

    Episode 7 - AGI is coming

    Seven Minutes to Midnight: AGI Is Coming   What is AGI? When is it arriving? And what does it mean for your career, your organization, and humanity? In this episode of Ship AI, Manav Gupta delivers one of the most comprehensive, honest, and practical breakdowns of artificial general intelligence available today. No hype. No sci-fi. Just the data, the frameworks, and the hard questions. Chapters 00:00 Introduction to AGI and Its Importance 13:56 The AGI Clock: Current Status and Predictions 17:49 The 10-Minute Problem in AGI Development 20:39 AI 2027 Timeline and Predictions 26:48 Agent Levels and Their Implications 30:34 Risk and Safety in AI Development 31:32 The Alignment Challenge in AI 36:34 The Five Walls: What Stands Between Current AI and AGI 41:07 Job Exposure: Technical Automatability vs Actual Displacement 44:03 Human Futures with AI 48:39 Future Scenarios for Humanity and AI 53:28 Navigating Career Paths in an AI World Bottom line: Significant disruption is coming. The shape of it depends on decisions being made right now — by policymakers, by organizations, and by you. If your core value is executing against known procedures, you are at risk. If your core value is judgment, trust, or physical presence, you have structural protection.

    1 hr

  3. MAR 10

    Mihai Criveti, Context Forge

    In this episode, Manav sits down with Mihai Criveti — IBM Distinguished Engineer and the creator of Context Forge, IBM's open-source agentic middleware — for a candid, technical conversation about what it actually takes to ship AI in the enterprise. 00:58 Navigating AI for Students 05:41 Context Forge and Scaling AI Agents 13:24 Understanding Context Forge 18:30 The Role of Middleware in AI 19:47 Evaluating AI Agents 24:10 Scaling AI in Enterprises 29:59 The Evolution of MCP Protocol 33:31 The Future of AI Agents and Workforce Dynamics 39:16 Lessons from Cloud Native to AI Agents 45:35 The State of AI and Future Predictions

    55 min

  4. MAR 6

    Episode 6 - AI Agents.

    The episode explores the rise of AI agents, their evolution from chatbots, and the challenges and opportunities in deploying and scaling AI agents. It delves into the characteristics of AI agents, the React pattern, advanced reasoning patterns, multi-agent orchestration, frameworks and protocols, governance, security implications, and the skills premium in the age of agency. Takeaways AI agents are evolving from chatbots to systems that think, plan, and act on behalf of users.The React pattern, advanced reasoning patterns, multi-agent orchestration, and governance are critical components in the deployment and scaling of AI agents. Chapters 00:00 The Age of Agency15:33 Frameworks and Protocols30:17 Multi-Agent Orchestration47:47 Security Implications

    53 min

  5. FEB 24

    Ozge Yeloglu, VP AI & Analytics, CIBC

    The conversation with Ozge Yeloglu covers her journey to becoming the VP of Advanced Analytics and AI at CIBC, her approach to deploying AI at scale, and the framework she built for success. It also delves into the concept of AI governance by design and the unique model of balancing AI governance and delivery, as well as leveraging the approach to change management for a large organization.  Chapters: 00:00 Introduction to Ozge Yeloglu and Her Journey08:53 AI Governance and Trustworthy AI Approach16:40 Building a Framework for AI Deployment29:49 People Change Management in AI38:20 Attracting and Retaining AI Talent43:17 The Future of AI: Hype vs. Reality49:38 Advice for Aspiring Engineers in AI

    53 min

  6. FEB 17

    Episode 5 - AI Gets a Body

    Episode Summary: When AI Gets a Body This episode explores the paradigm shift from digital AI to physical AI—what happens when chatbots become robots. We trace the evolution from Karel Čapek's 1920 coining of "robot" to today's Cambrian explosion of humanoids, autonomous vehicles, drones, and brain-computer interfaces. Chapters: 00:00 The Dawn of Physical AI 11:32 The $50 Trillion Opportunity15:54 Basics of Robotics28:07 Humanoids37:56 Autonomous Vehicles45:13 Defense AI54:17 Space AI57:22 Brain Computer Interface01:07:42 The Human Dimension01:11:15 Key Takeaways

    1h 14m

  7. FEB 10

    Lawrence Wan, Chief Architect, BMO

    Episode Overview Lawrence Wan, Chief Architect and Innovation Officer at Bank of Montreal, shares insights on how one of Canada's largest financial institutions approaches technology transformation, AI adoption, and the future of agentic systems in a heavily regulated industry. 00:00 Introduction to Lawrence Van and BMO 05:01 The Role of Technology in Banking 11:19 Designing for Scale and Future Technologies 16:57 AI in Banking: Current Applications and Future Prospects 21:50 Generative AI: Productivity Gains and Challenges 28:22 The Future of AI Agents in Banking 33:34 The Evolving Role of Technologists in Banking

    39 min

  8. FEB 3

    AI In Banking - Vinh Tran, RBC

    AI In Banking - Vinh Tran, VP Data & AI, RBC In this episode, Vinh Tran—VP of Data and AI Platforms at RBC and an RBC Fellow—shares how one of the world's largest banks is approaching AI at enterprise scale. Key Takeaways "You have to control AI in order to scale it." Vinh explains that governance isn't about going slow—it's about building confidence. RBC invests heavily upfront in platforms, guardrails, and standardization so they can then open the doors and scale with assurance. The Control Plane Approach: RBC has built a comprehensive AI control plane that includes: A centralized LLM gateway controlling which models can be used (currently 6-8 rigorously validated models)An MCP gateway for managing agent-to-tool connections with proper authenticationA controlled runtime environment for monitoring agent behavior at the transport levelAn agent registry for inventory management and lifecycle control 00:00 Introduction to AI in Banking 02:01 The Role of AI in Enhancing Customer Experience 04:03 Governance and Compliance in AI Models 08:53 Control Plane: Ensuring Safe AI Deployment 14:53 Control Plane for Scaling AI 20:47 AI Guardrails 26:05 AI Agents and Standards 32:20 Predictions for the future 36:34 Advice for Aspiring Technologists

    41 min
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About

From 0 to Production. Practical tips, tricks, and best practices to make AI useful for production in the real world!

Information

  • Creator
    Manav Gupta
  • Years Active
    2025 - 2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © 2025 Manav Gupta
  • Show Website
    Ship AI

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