Enterprise Aligned AI

Aparna Sinha

Track the adoption of AI in Enterprises and learn best practices from Practitioners. https://enterprisealignedai.com/#subscribe

Episodes

  1. EP4: How Coursera Became an AI-Native Enterprise (with Mint MCP)

    6d ago

    EP4: How Coursera Became an AI-Native Enterprise (with Mint MCP)

    📖 Episode summary + insights: https://enterprisealignedai.com/episodes/coursera-becoming-ai-native/✉️ Subscribe for free to receive new episodes: https://enterprisealignedai.com/subscribeCoursera is fourteen years old and public, in an industry everyone assumes AI will replace. Instead of blocking AI, CTO Mustafa Furniturewala leaned way in, building the enablement and guardrails to make it safe. I talk with Mustafa and Jiquan Ngiam, founder of Mint MCP, about becoming AI-native: the MCP gateway that governs data access, migrating a decade of code in hours, background agents that work like coworkers, and how business users now build their own AI skills.💡 KEY INSIGHTS • Block or Embrace: blocking AI pushes people to unsafe workarounds, enablement is safer • MCP vs APIs: MCPs built for agents with security boundaries an API key cannot express • MintMCP Gateway: governs MCP sprawl and bundles tools by role, empowering IT and users • Migrating Code with Tech Debt: what took weeks now runs in hours across 200+ repos • Background agents: a sandboxed Claude and Codex review loop, triggered from Slack • Business users: Coursera forked Anthropic's knowledge-work skills, and a quarter of AI usage now comes from non-coder business users🎧 PREFER Apple: {Apple URL — pending}YouTube: https://youtu.be/hcKmyD27mms⏱ CHAPTERS 00:00 Migrations and Tech Debt: Rewriting in Hours at Coursera 02:03 AI in Education: To Block or Embrace? 05:46 Personalization at Scale: Assessments and AI Tutors 10:02 MCP vs APIs and CLIs: Secure Data Access for Agents 14:07 Skills: Teaching AI your SOPs as Markdown 18:03 MCP Governance: Coursera's Requirements 21:53 AI Native Enterprise: Coursera's Journey 24:37 AI Does the Grunt Work, Engineers Do the Rest 27:24 GraphRAG vs Inline Context for Large Codebases 30:37 Building a Culture of AI Adoption 32:35 The New Agentic Engineering Lifecycle 35:28 Background Agents That Act Like Coworkers 39:41 When a Supply-Chain Attack Turns Your AI Against You 43:28 Unlocking Business Users with Claude Cowork 47:42 The Future of Personalized Learning👤 GUESTSMustafa Furniturewala, CTO, Coursera: https://www.linkedin.com/in/mustafaf/ Jiquan Ngiam, Founder & CEO, Mint MCP: https://www.linkedin.com/in/jngiam/🔗 CONNECTWebsite: https://enterprisealignedai.comLinkedIn: https://www.linkedin.com/in/apsinha/X: https://x.com/aparnabsinha#EnterpriseAI #AgenticAI #Coursera #MCP #MintMCP

    49 min
  2. EP3: Logitech's Award-Winning AI Share of Voice, Mastering Agentic Commerce with Typesense

    May 23

    EP3: Logitech's Award-Winning AI Share of Voice, Mastering Agentic Commerce with Typesense

    📖 Episode summary + insights: https://enterprisealignedai.com/episodes/agentic-commerce-with-logitech-and-typesense/ ✉️  Subscribe for free to receive new episodes: https://enterprisealignedai.com/subscribe                                          This episode of Enterprise Aligned AI explores how agents are reshaping eCommerce. 💡 KEY INSIGHTS Deepa Shekhar (Logitech) outlines Three Tracks of Agentic Commerce: shopping inside LLMs, brand-owned agents, and agents as autonomous buyers that rely on structured data and operational excellence over ads and storytellingJason Bosco (TypeSense) explains why search and retrieval are critical for agents, emphasizing fast, structured pre-processing of large data, unified product and business data, and approaches like hybrid search and LLM-assisted intent-to-query mapping.The Missing Product Catalog: no universal real-time product API for LLMs, fragmented product catalog and commerce protocols (ACP, UCP, MCP)Content Strategy Inverts: from brand storytelling to answering customer questions, structured for LLMs to read via llms.txtBrand Agents Need Shared Intelligence: isolated chatbots fragment the experience; one shared AI layer should power web, app, WhatsApp, and RCSAutonomous Agents that make decisions on real-time inventory and upto date operational status. Post-purchase gaps, legacy OMS/WMS constraints, emerging efforts like ONX• Guardrails for the Buy Click: financial controls, auditability, observability, and defenses against hallucinations and prompt injection ⏱ CHAPTERS 00:00 Agents Disrupt E-Commerce and Advertising00:21 Introduction to Agentic AI and E-commerce Transformation02:34 Exploring the Three Tracks of Agentic Commerce05:49 Role of Search in Agentic Retrieval08:14 Integrating Product Catalogs, Data and Protocols10:55 Future of Real-Time Data and Search13:49 Shifts in Content Strategy for E-commerce17:09 Modern Retrieval Stack22:08 Building Intelligent Brand Agents26:32 Evolving Protocols for Payments, Inventory and Operations33:16 Track Three Personal Agent Buyers35:58 Agents Evaluate Vendors40:12 Security Guardrails and Governance 📺 WATCH ON YOUTUBE  https://youtu.be/vFNzd3rh3wY          🎧 ALSO ON APPLE PODCASTS  https://podcasts.apple.com/us/podcast/ep3-agentic-commerce-with-logitech-and-typesense/id1890781384?i=1000769162471    👤 GUESTS                                                                                                                          Deepa Shekhar, Director of E-commerce & Digital Marketing Technologies, Logitech: https://www.linkedin.com/in/deepa-shekhar-677779/ Led the move to composable commerce architecture on Logitech.com (~$349M in direct-to-consumer revenue). Logitech.com was named PCMag Reader's Choice 2025 Best Manufacturer Online Store and won the "Growth Engine" award in Semrush's inaugural 2025 AI Visibility Awards for Consumer Electronics, measured across thousands of real prompts in ChatGPT and Google AI Mode. Jason Bosco, CEO & Co-founder, Typesense: https://www.linkedin.com/in/jasonbosco/ Typesense is an open-source search engine running 10B+ queries a month on Typesense Cloud, with 25,000+ GitHub stars and 12M+ Docker pulls. Built as a single C++ binary, Typesense is the open-source alternative to Algolia and Pinecone, and is revenue-funded, not VC-backed. Before Typesense, Jason was VP of Engineering at Dollar Shave Club and VP of Technology at Verishop.   🔗 CONNECT     Website: https://enterprisealignedai.com LinkedIn: https://www.linkedin.com/in/apsinha/ X: https://x.com/aparnabsinha

    43 min
  3. EP2: Royal Bank of Canada's $1B AI Transformation

    Apr 22

    EP2: Royal Bank of Canada's $1B AI Transformation

    📖 Episode summary + insights: https://enterprisealignedai.com/episo... ✉️ Subscribe for free to receive new episodes: https://enterprisealignedai.com/subsc... This episode focuses on Royal Bank of Canada’s (RBC) $1B AI transformation - how one of the world's largest financial institutions is moving beyond experimentation to Enterprise-wide AI deployment. Our guest is Vinh Tran, Vice President of Data and AI Platforms and RBC Fellow 💡 KEY INSIGHTS • The $1B Investment: RBC committed ten figures to transform the entire organization with AI • Self-Serve Agents: RBC assist automates complex workflows while maintaining strict compliance • Build vs buy in regulated industries: Building is easier than ever and enables greater control • MCP Gateway + OpenTelemetry deliver security and observability for regulated agentic AI • Lumina, RBC's modern data platform, is the foundation making "AI for All" possible • Engineers become "builders" who orchestrate AI tools, not only write code🎧 PREFER VIDEO or APPLE PODCASTS? YouTube: https://www.youtube.com/watch?v=pVWtq0yCrEA Apple: https://podcasts.apple.com/us/podcast... ⏱ CHAPTERS 00:00 Introduction to Vinh Tran 03:34 The Scope of RBC's $1B AI Transformation 06:10 Transforming Customer Service 08:47 Measuring ROI of AI Across Business Units 14:23 Build vs. Buy: Why Build in Regulated Enterprises 18:37 Self-Service Agents at RBC 22:25 Setting Platform Standards: MCP and OpenTelemetry 26:00 Preparing Data for AI: Best Practices 30:33 Overcoming Data Readiness Challenges 33:16 RBC's Control Plane for Reliable Agentic AI 37:10 Use Cases for LLMs in Banking 40:37 RBC Assist: Productivity Chatbot or Superpower? 43:13 Workforce Transformation through 'AI for All' 45:58 Hiring the Next Generation of Builders 49:25 Advice for Enterprise AI Leaders 👤 GUEST Vinh Tran,   / vinhbtran   🔗 CONNECT Website: https://enterprisealignedai.com LinkedIn:   / apsinha   X: https://x.com/aparnabsinha #EnterpriseAI #AgenticAI #RBC #MCP #FinancialServices

    51 min
  4. Feb 28

    EP1: How Wayfair uses Arize for Reliable Agentic AI

    In this podcast episode, host Aparna Sinha discusses the current landscape of enterprise AI with guests Victor Sulaiman from Wayfair and Aman Khan from Arize AI. They explore the integration of AI in retail, the importance of evaluating AI systems, and the emerging field of Agentic Commerce. Aman explains Arize’s approach to scalable, AI workflow evaluation and governance, emphasizing open-source tools. The conversation also delves into optimizing logistics and support with AI, the necessity of human oversight on autonomous agents, and techniques for measuring ROI of enterprise AI investments. The episode concludes with insights on the build vs. buy dilemma and strategies for scaling AI from pilot projects to full production. 00:00 Introduction to Enterprise AI and Guests 02:16 AI in Retail: Enhancing Customer and Associate Experience 06:00 Evaluating AI: Arize's Unique Approach 10:36 Open Source: Power of Community Engagement in AI 13:41 Adapting to Generative AI: Evolving Use Cases 15:31 Agentic Commerce: The Future of Retail 19:08 Agentic Logistics: Can Reasoning Optimize Delivery? 22:24 Measuring Reliability and Determinism in AI Systems 25:52 Launching AI Agents: The Importance of Real-World Feedback 28:52 LLM as a Jury with Human Oversight in AI Systems 33:25 Navigating Autonomous Agents in Business 37:43 Understanding ROI in AI Investments 42:58 Build vs. Buy: Strategies for AI Deployment 45:44 Scaling AI from Pilot to Production

    50 min

Ratings & Reviews

5
out of 5
2 Ratings

About

Track the adoption of AI in Enterprises and learn best practices from Practitioners. https://enterprisealignedai.com/#subscribe