The Enterprise GTM Podcast

What happens when two long-time product and engineering leaders—who once yelled at each other across the office—reunite on a podcast to decode the future of data and AI? In this episode, Vidya Raman hosts Anjan Kundavaram (CPO at Fivetran) and Chandler Hoisington (formerly CPO at EnterpriseDB and AWS exec) for a candid, behind-the-scenes conversation that spans: * Why the Lakehouse architecture is more than a buzzword—and how Iceberg is quietly winning the open standards race * Whether RAG, embeddings, and vector databases are already becoming yesterday’s news * What’s really holding enterprise AI adoption back (hint: it’s not just the models) * Why unstructured data is the new oil—and what most companies are missing * How the roles of PMs and engineers are being reshaped (but not replaced) by AI And a whole lot more—from the false promises of CI/CD for data to whether you’ll really need a vector DB six months from now. If you’re building, shipping, or leading in the age of intelligent infrastructure, this episode is one you won’t want to miss. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit veenormous.substack.com [https://veenormous.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

What happens when one of the world’s largest asset managers decides to think like a tech company? In this episode, Diwakar Goel, Global Head of Data at BlackRock, pulls back the curtain on how his team is orchestrating one of the most ambitious data transformations in the financial world. From powering global investments with a touchless analytics “green package,” to reimagining operations through a homegrown AI-infused task platform, Diwakar shares how data governance, privacy, and automation are embedded not as afterthoughts—but as design principles. You’ll hear how they balance speed and regulation, why operational excellence isn’t just grunt work anymore, and why he believes most AI projects need to start with something far less sexy: foundational data modeling. Oh, and did we mention he manages a 3,300-person org where 80% of operations are already fully automated? This is not your average CIO playbook. 🔑 Topics Covered: * Why BlackRock treats data like code—and how it’s paying off * The surprising way AI is helping reduce employee churn in data ops * Why Diwakar prefers “boring” AI over “magical” AI * How a single-digit governance team handles massive compliance needs * What startups often get wrong when trying to sell to enterprises like BlackRock This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit veenormous.substack.com [https://veenormous.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

In this episode, we go inside the minds of two powerhouse CISOs—Rinki Sethi (Upwind, ex-Twitter, Rubrik, Bill.com) and Lucas Moody (Alteryx, ex-Palo Alto Networks)—as they unpack what it really takes to secure an enterprise in today’s world of AI, multi-cloud sprawl, and constant threat exposure. They talk candidly about: * The evolving role of the CISO—from reactive firewalls to boardroom influence * Why some vendors gain trust while others get ignored * The hidden complexity behind “simple” security practices like IAM * What early-stage founders consistently get wrong—and how to fix it * The parallel lessons from cloud, mobile, and now GenAI transformations If you’re building for the enterprise, selling to CISOs, or investing in cybersecurity, this is a blueprint you can’t afford to miss. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit veenormous.substack.com [https://veenormous.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

In this must-listen episode of The Enterprise GTM Podcast, Pavi Ramamurthy, Global CIO and CSO of Blackhawk Network, shares a candid and deeply insightful look into the world of enterprise security, tech innovation, and risk management. From managing massive fraud prevention systems behind the gift cards you see at Target, to navigating startup pitches and the realities of AI adoption—this is a masterclass in modern IT and security leadership. 💡 What You’ll Learn: • How Pavi balances business priorities vs. security risks • Why startup founders need to drop the pitch and start a real conversation • The surprising cost of switching vendors—even if the tech is “10x better” • Why shadow AI isn’t so different from shadow IT—and how to manage both • The power of CISO communities and peer recommendations • Why “best-of-suite” often wins over “best-of-breed” in today’s enterprise deals • What makes a new security vendor stand out—or get silently passed over • The magic wand wish that Pavi has from startups 💬 Memorable Quote: “I ask one question before investing in any solution: What’s the cost of not doing this?” “Know your CISO!” 👀 Who Should Listen: • Founders and startups pitching to the enterprise market • Security and IT professionals navigating risk and innovation • Anyone curious about how real enterprise decisions get made This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit veenormous.substack.com [https://veenormous.substack.com?utm_medium=podcast&utm_campaign=CTA_1]

In this episode, Diamond Bishop shares his fascinating journey through AI, machine learning, and enterprise software, from working at Microsoft (Cortana), Amazon (Alexa), AWS, and Meta (PyTorch) to founding Augmend, an AI-driven DevOps knowledge assistant, which Datadog later acquired. He dives deep into building AI-powered enterprise products, the challenges of selling into large organizations, and why AI-driven automation is the future of DevOps and security operations. Diamond also unveils Bits.ai, Datadog’s intelligent AI assistant designed to automate on-call incident resolution, debugging, and code error fixing. For founders, product leaders, and AI enthusiasts, this episode is packed with lessons on enterprise GTM (Go-To-Market) for Developer Tools, AI-driven automation, and the future of software engineering. Key Topics Discussed: 1️⃣ The Evolution of AI & Machine Learning 2️⃣ Founding Augmend: AI for DevOps Knowledge Sharing 3️⃣ The biggest challenges for Dev Tool startups 4️⃣ Bits.ai: The AI Assistant for DevOps & Security 5️⃣ Lessons in building with Gen AI & GTM Insights Who Should Listen? ✅ AI/ML Engineers & DevOps Professionals – Learn how AI-driven automation is transforming workflows ✅ Tech Founders & Enterprise GTM Leaders – Get real-world insights on selling AI to enterprises ✅ Investors & AI Enthusiasts – Understand the next wave of AI-powered enterprise automation Resources & Links: 🔗 Follow Diamond Bishop [https://www.linkedin.com/in/diamondbishop/] on LinkedIn 🔗 Datadog Bits.ai [https://www.datadoghq.com/product/platform/bits-ai/] (Private Beta) 📢 Enjoyed this episode? Don’t forget to subscribe, rate, and share! 🚀 This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit veenormous.substack.com [https://veenormous.substack.com?utm_medium=podcast&utm_campaign=CTA_1]