AI_Cloud Essentials

CoreWeave

Breakthroughs stall when leaders are forced to build the future on foundations from another era. Modern AI demands new thinking, tooling and decision patterns, yet many executives feel trapped by outdated playbooks. AI Cloud Essentials clears that bottleneck. Hosted by Independent AI Value Strategist Ritu Jyoti, the show delivers practical guidance for leaders navigating trillion-parameter models, real-time adaptation and fast-moving AI ecosystems. Each episode offers clear frameworks to help teams innovate faster, scale smarter and reduce friction without jargon or recycled thinking.

  1. 4d ago

    Move Fast, Fail Forward—and Clone the Win

    AI cloud infrastructure is the difference between a viral moment and a missed opportunity. In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Jake Rothman, who leads Go-To-Market and Partnerships at Decart AI, to unpack how a single viral LinkedIn demo of virtual try-on turned into a commercial roadmap — and why an AI-native cloud partner like CoreWeave made it possible to say yes. Jake traces Decart's journey from Oasis One — a Minecraft-inspired, prompt-generated world model — to real-time video products demanding sub-40 millisecond latency, and shares the go-to-market playbook his team uses to turn one obsessed customer into a repeatable motion. This conversation is for AI builders, infrastructure leaders, and GTM teams deciding how fast they can afford to move. What you'll take away: Why sub-40 millisecond latency is the threshold that makes real-time AI experiences possible How burst capacity removes the internal debate when a product spikes overnight The "clone the win" playbook: find one customer who loves the product, then exhaust that track Why Decart treats GPU optimization as a commercial product, not a cost center How world models like Oasis One point toward the physical AI and robotics opportunity ahead

  2. Jun 30

    How AI Is the Ultimate Horizontal Enabler

    AI agents are reshaping enterprise infrastructure, and AI-native cloud is becoming the foundation for what comes next. In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Chen Goldberg to explore how businesses are moving from models to agents—and why traditional cloud environments can’t keep up. If you want to understand how CoreWeave’s AI-native cloud drives faster experimentation, better production scale, and real business outcomes, this episode gives you the roadmap. Ritu and Chen break down how CoreWeave helps customers move beyond AI experimentation into full production, supporting everything from enterprise search to large-scale inference and agentic workflows. They discuss customer examples, revealing how bottlenecks shift from compute to data movement, why speed matters more than ever, and how organizations can “lean in” instead of falling behind. Whether you’re a CIO, CTO, platform leader, or AI innovator, this conversation will change how you think about infrastructure in the AI era. Learn why AI-native cloud is critical for moving from experimentation to production Understand how AI agents are changing the demands on infrastructure and data pipelines Discover how companies like MercadoLibre and Cohere are scaling AI workloads faster See why “speed matters” is becoming the most important strategy for enterprise AI teams Learn how leaders can avoid pilot purgatory and accelerate innovation with confidence Don’t risk building tomorrow’s AI strategy on yesterday’s infrastructure. Learn how to move faster, scale smarter, and lead the shift from models to agents before your competitors do.

  3. Jun 16

    How Marketing Is Moving to an AI-First Approach

    AI product marketing is changing fast—and the teams that win will be the ones using AI for more than just content generation. In this episode of AI Cloud Essentials, host Ritu Jyoti sits down with Susanne Seitinger, VP of Product Marketing at CoreWeave, to unpack how AI product marketing is transforming everything from messaging and naming to persona development and synthetic research. If you want to understand how to increase marketing velocity without sacrificing strategy, this conversation delivers practical insights you can use immediately. Ritu and Susanne explore how product marketing teams can move beyond surface-level AI use cases and rethink foundational practices like validation, decision-making, and customer feedback loops. They break down how synthetic research helps teams test messaging in days instead of months, why “AI slop” is a real risk for marketers, and how human discernment still separates great marketing from automated noise. Susanne also shares how her team at CoreWeave is building an AI-first product marketing function—one that balances speed, consistency, and real customer resonance. Learn how AI product marketing improves naming, messaging, and persona mapping Understand when synthetic research works—and when traditional research still matters Discover how to create faster feedback loops without losing message consistency Avoid “AI slop” by strengthening human judgment, discernment, and taste See how leading product marketing teams are building AI-first workflows that scale Don’t risk falling behind while your customers and competitors move faster than ever. Learn how to rethink product marketing from the ground up and use AI to create real business impact.

  4. Jun 2

    How AI Is Transforming DevOps and the Developer Experience

    AI-powered engineering is reshaping how software gets built, and this episode breaks down exactly what that means for teams today. In this episode of AI Cloud Essentials, we explore AI-powered engineering through real-world use cases, revealing how autonomous agents are changing the role of developers and accelerating innovation. If you’re trying to understand where AI coding tools deliver real value—and where they still fall short—this conversation gives you a clear, practical roadmap. Hosted by Ritu Jyoti, this episode features Camille Fournier, VP of Engineering at CoreWeave, who shares how teams are moving beyond simple code completion into fully agent-driven workflows. From greenfield development to operational automation inside complex AI cloud environments, Camille explains how organizations are adopting these tools, where bottlenecks are emerging (like code review and validation), and what it takes to actually get value from AI today. You’ll walk away with a grounded understanding of how AI is transforming engineering workflows—not just in theory, but in practice. What you’ll learn: How AI agents are shifting engineering from writing code to orchestrating systems Where AI coding tools work best today (greenfield vs. legacy systems) Why code review, validation, and workflows are becoming the new bottlenecks How non-engineers are already using AI tools to build and automate work The mindset engineers need to stay relevant as AI evolves rapidly Don’t risk falling behind as AI reshapes engineering. Learn how to adapt your workflows, rethink your role, and get real value from AI—before the gap widens.

  5. May 19

    How Wall Street Can Drive The Next AI Breakthrough

    AI in financial markets is moving beyond incremental gains and into core decision-making. It’s no longer just about back-office automation, it’s beginning to reshape pricing, risk, and trading systems. In this episode, you’ll learn how to apply AI in financial markets to move beyond alpha and drive real market transformation. Hosted by Ritu Jyoti, an independent AI strategist, this episode features Dimitris Tsementzis, Founder and CEO of hLevel. Together, they explore why traditional AI approaches struggle in non-stationary markets and what it takes to build systems that can adapt, learn, and operate under constant change. From the limits of interpretability to the importance of controllability, this conversation breaks down how financial leaders can rethink models, manage risk, and apply AI to core market functions—not just incremental efficiency gains. In this episode, you’ll learn how to: Apply AI to pricing, risk, and trading systems Design AI systems for non-stationary, constantly changing markets Prioritize controllability over interpretability in high-risk environments Move beyond back-office automation to core market transformation Identify where AI can create real competitive advantage in finance Don’t risk falling behind by limiting AI to incremental improvements. Learn how to apply AI in financial markets to move beyond alpha and lead the next wave of innovation.

  6. May 5

    How Physical AI is Streamlining Engineering

    AI-powered engineering is transforming how organizations solve complex physical problems. AI-powered engineering is no longer about theory, it’s enabling faster simulation, real-world testing, and better decision-making across industries. In this episode, you’ll learn how to apply AI-powered engineering to accelerate innovation in the physical world. Hosted by Ritu Jyoti, an independent AI strategist, this episode of AI Cloud Essentials features Richard Ahlfeld, SVP for Physical and Scientific AI at CoreWeave. Together, they explore how AI is moving beyond digital systems into real-world applications like automotive, manufacturing, and robotics. From using transformers to dramatically improve simulation accuracy to learning directly from physical testing data, this conversation breaks down how leaders can move faster by combining AI with real-world iteration instead of relying on theory alone. In this episode, you’ll learn how to: Use AI to accelerate physical simulations and engineering workflows Combine simulation and real-world testing to improve outcomes Apply transformer models to complex physical systems Overcome data challenges in engineering and scientific AI Identify high-impact use cases across automotive, manufacturing, and robotics Don’t risk falling behind by relying only on traditional simulations or outdated workflows. Learn how to apply AI-powered engineering to move faster, test smarter, and build better systems.

  7. Apr 21

    How AI augments artistry

    AI in creative workflows is moving from experimentation to execution. AI in creative workflows is no longer about hype or isolated pilots, it’s about integrating AI into real production environments. In this episode, you’ll learn how to operationalize AI in creative workflows to drive real value across media and entertainment. Hosted by Ritu Jyoti, an independent AI strategist, this episode of AI Cloud Essentials features Mac Moore, Head of Media and Entertainment at CoreWeave. Together, they break down how studios are shifting from disconnected AI experiments to fully integrated, artist-centric workflows using platforms like CoreWeave Conductor for AI. From debunking the “prompt-to-movie” myth to explaining why assistive AI is the real future, this conversation unpacks how creative teams can scale production, reduce friction, and unlock new levels of collaboration without sacrificing artistry. In this episode, you’ll learn how to: - Integrate AI into creative workflows instead of running isolated experiments - Identify the right use cases for AI in media and entertainment production - Use assistive AI to augment creative teams, not replace them - Simplify complex AI infrastructure for artists and studio teams - Move from AI hype to real, production-ready value Don’t risk falling behind by treating AI as a side experiment. Learn how to integrate AI into your creative workflows and start realizing value today.

  8. Feb 24

    Future-Proof Your Enterprise AI: The Decisive Strategic Choice You Must Make Now

    AI native cloud strategy now determines who can scale AI and who stalls out. AI native cloud decisions directly impact cost control, speed to market, and competitive advantage as agentic AI moves from pilots to production. In this episode, leaders explain why the wrong AI foundation quietly becomes a business risk. In this episode of AI Cloud Essentials presented by CoreWeave, host Ritu Jyoti, Independent AI Strategist, is joined by Jean English, Chief Marketing Officer of CoreWeave, to take AI out of the infrastructure weeds and into the boardroom. They break down why general purpose cloud platforms were never designed for AI at scale and how AI native cloud architectures unlock faster innovation, better economics, and real business velocity. In this episode, you will learn how to: Tell if your current AI stack is enabling growth or slowing it down Understand the real differences between general purpose cloud and AI native cloud Move AI from prototype to production without friction Improve GPU utilization and cost predictability at scale Balance speed, security, and governance for enterprise AI Align AI infrastructure decisions with executive and board level outcomes Future proof your organization for agentic AI and next generation workloads The gap between AI leaders and laggards is widening fast. Do not risk rising costs, stalled innovation, or strategic lock in. Learn how to build an AI native foundation that protects speed, control, and competitive advantage while there is still time to lead.

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About

Breakthroughs stall when leaders are forced to build the future on foundations from another era. Modern AI demands new thinking, tooling and decision patterns, yet many executives feel trapped by outdated playbooks. AI Cloud Essentials clears that bottleneck. Hosted by Independent AI Value Strategist Ritu Jyoti, the show delivers practical guidance for leaders navigating trillion-parameter models, real-time adaptation and fast-moving AI ecosystems. Each episode offers clear frameworks to help teams innovate faster, scale smarter and reduce friction without jargon or recycled thinking.

Information

  • Creator
    CoreWeave
  • Years Active
    2025 - 2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © CoreWeave
  • Show Website
    AI_Cloud Essentials