The Hitchhiker's Guide Podcast

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  1. Apr 9

    From Models to Inference What It Really Takes to Scale AI in the Enterprise

    In this episode of The Hitchhiker’s Guide to IT, we explore one of the most important shifts happening in enterprise AI today: the move from model-centric thinking to inference-driven systems. For years, the focus has been on building bigger, more powerful models. But as organizations move from experimentation to production, the real challenge is no longer just model performance — it’s how those models are deployed, orchestrated, and scaled in real-world environments. Rob May, CEO of NeuroMetric AI, joins the conversation to break down what it actually takes to operationalize AI at scale. He explains why many organizations struggle to move beyond pilots, pointing to challenges like cost, evaluation complexity, and the need to rethink workflows entirely for an AI-driven world. The discussion dives into how inference workloads are reshaping infrastructure requirements, from increased demand on GPUs to the need for smarter orchestration across multiple models. Rob also highlights why choosing the “best” model is often the wrong question — and why success depends more on aligning the right models to the right tasks within a well-structured system. Ultimately, this episode reinforces a critical takeaway: scaling AI isn’t just about technology — it’s about building the right foundation, from infrastructure and data to operational discipline.

    From Models to Inference What It Really Takes to Scale AI in the Enterprise

  2. Apr 6 ·  Video

    From Models to Inference What It Really Takes to Scale AI in the Enterprise

    In this episode of The Hitchhiker’s Guide to IT, we explore one of the most important shifts happening in enterprise AI today: the move from model-centric thinking to inference-driven systems. For years, the focus has been on building bigger, more powerful models. But as organizations move from experimentation to production, the real challenge is no longer just model performance — it’s how those models are deployed, orchestrated, and scaled in real-world environments. Rob May, CEO of NeuroMetric AI, joins the conversation to break down what it actually takes to operationalize AI at scale. He explains why many organizations struggle to move beyond pilots, pointing to challenges like cost, evaluation complexity, and the need to rethink workflows entirely for an AI-driven world. The discussion dives into how inference workloads are reshaping infrastructure requirements, from increased demand on GPUs to the need for smarter orchestration across multiple models. Rob also highlights why choosing the “best” model is often the wrong question — and why success depends more on aligning the right models to the right tasks within a well-structured system. Ultimately, this episode reinforces a critical takeaway: scaling AI isn’t just about technology — it’s about building the right foundation, from infrastructure and data to operational discipline.

    From Models to Inference What It Really Takes to Scale AI in the Enterprise

  3. Apr 3 ·  Bonus Video

    What IT Leaders Get Wrong About Modernization

    In this bonus segment from The Hitchhiker’s Guide to IT podcast, industry experts break down a critical misconception shaping modern IT strategies: modernization isn’t just about speed. As organizations adopt cloud, SaaS, and AI technologies, many focus on moving faster. But without a strong foundation, speed often introduces fragility instead of progress. One of the biggest gaps is visibility. In today’s complex environments—spanning hybrid infrastructure, APIs, and AI systems—many organizations lack a clear understanding of how their systems connect and operate. Without that visibility, it becomes difficult to maintain security, performance, and control. At the same time, the industry is shifting toward resilience. As systems grow more complex, technical debt and over-engineered architectures create instability. To keep up, organizations are rethinking how systems are designed—breaking down monoliths and building more resilient, adaptable structures. The takeaway is clear: modernization that lasts requires more than speed. It depends on visibility, resilience, and strong operational foundations. The organizations that succeed aren’t just moving faster—they’re building systems that can keep up.

    What IT Leaders Get Wrong About Modernization

  4. 12/19/2025

    Why Power Is the Next IT Frontier

    As AI and data demands skyrocket, the future of IT infrastructure hinges on one critical resource — power. In this episode of The Hitchhiker’s Guide to IT, host Michelle Dawn Mooney sits down with Pete DiSanto, Executive Vice President of Engineering Solutions at Enchanted Rock, to explore why energy resilience is becoming the new competitive edge for data centers and digital infrastructure leaders. Drawing on decades of experience across nuclear, fossil, and distributed generation, DiSanto breaks down how the industry is rethinking its relationship with the grid. He explains how distributed microgrids and flexible interconnections can help data centers not only protect against outages but also give power back to the grid when it’s needed most. From lessons learned during Texas’s Winter Storm Uri to the push for cleaner, faster, and smarter energy solutions, DiSanto reveals how power and IT are converging to form the next great frontier of innovation. Key Takeaways: Resilience Through Partnership: Collaboration between data centers and utilities is key to stabilizing and strengthening the grid.Flexibility Is the Future: Flexible interconnections and distributed microgrids can transform data centers from power consumers into grid assets.People Drive Reliability: Even the best technology depends on skilled, mission-driven teams to keep systems running when it matters most.Prepare, Don’t React: Regular operation and testing of on-site generation ensures performance under real-world stress.Shared Innovation: The data center industry’s culture of collaboration and knowledge-sharing is accelerating the path to a resilient energy future.

    Why Power Is the Next IT Frontier

  5. 12/19/2025 ·  Video

    Video: Why Power Is the Next IT Frontier

    As AI and data demands skyrocket, the future of IT infrastructure hinges on one critical resource — power. In this episode of The Hitchhiker’s Guide to IT, host Michelle Dawn Mooney sits down with Pete DiSanto, Executive Vice President of Engineering Solutions at Enchanted Rock, to explore why energy resilience is becoming the new competitive edge for data centers and digital infrastructure leaders. Drawing on decades of experience across nuclear, fossil, and distributed generation, DiSanto breaks down how the industry is rethinking its relationship with the grid. He explains how distributed microgrids and flexible interconnections can help data centers not only protect against outages but also give power back to the grid when it’s needed most. From lessons learned during Texas’s Winter Storm Uri to the push for cleaner, faster, and smarter energy solutions, DiSanto reveals how power and IT are converging to form the next great frontier of innovation. Key Takeaways: Resilience Through Partnership: Collaboration between data centers and utilities is key to stabilizing and strengthening the grid.Flexibility Is the Future: Flexible interconnections and distributed microgrids can transform data centers from power consumers into grid assets.People Drive Reliability: Even the best technology depends on skilled, mission-driven teams to keep systems running when it matters most.Prepare, Don’t React: Regular operation and testing of on-site generation ensures performance under real-world stress.Shared Innovation: The data center industry’s culture of collaboration and knowledge-sharing is accelerating the path to a resilient energy future.

    Video: Why Power Is the Next IT Frontier

  6. 12/19/2025

    Turning Heat into Power: Building Sustainable Data Centers for the AI Era

    As AI workloads surge, data centers face growing pressure to deliver more compute with less environmental impact. In this episode of The Hitchhiker’s Guide to IT, host Michelle Dawn Mooney sits down with Svante Horn, CEO and founder of Scandinavian Data Centers, to explore how his team is redefining what it means to build sustainable, resilient digital infrastructure. Horn shares the story of how Scandinavian Data Centers emerged from a unique combination of financial expertise, repurposed military infrastructure, and a vision for circular, community-powered operations. By capturing and reusing waste heat from data centers to power local district heating systems, Horn’s model turns digital demand into societal and environmental value — a concept he calls Data Center 3.0. The conversation dives into the technological and economic innovations behind this approach, from liquid cooling and heat pumps to integrating with local energy grids and even supporting greenhouse agriculture. Horn also discusses the broader implications for the AI era — how sustainability, resilience, and cost-efficiency must align for infrastructure to truly scale. Looking ahead, Horn predicts a shift toward more localized, circular, and transparent data center ecosystems — ones that not only serve global compute needs but also strengthen the communities and grids that host them. Key Takeaways: Circular and Secure: How reusing waste heat and aligning with local grids strengthens both sustainability and resilience.Data Center 3.0: Designing data centers around societal and environmental benefit — not just IT efficiency.AI & HPC Ready: The rise of high-grade heat from AI workloads is creating new opportunities for energy reuse.Future-Proofing IT: Why power availability and grid collaboration will define the next decade of digital infrastructure.Societal Impact: How sustainable data centers can become engines for local employment, energy stability, and food security.

    Turning Heat into Power: Building Sustainable Data Centers for the AI Era

  7. 12/19/2025

    The Future of Infrastructure Starts with Smarter Simplicity

    In this episode of The Hitchhiker’s Guide to IT, host Michelle Dawn Mooney sits down with Nabil Bukhari, Chief Technology & Product Officer and GM of Subscriptions at Extreme Networks, to explore how IT leaders can scale smarter in today’s hybrid, AI-driven landscape—where every infrastructure decision has ripple effects on agility, cost, and resilience. With decades of experience leading infrastructure transformation across global enterprises, Nabil shares how organizations can move beyond tactical decisions to build scalable, outcome-aligned strategies. He breaks down why functional silos are breaking down, how platforms are replacing scattered SaaS sprawl, and what it really takes to prepare for the future of AI and edge computing. The conversation covers: Why starting with business outcomes—not technology—is key to smart infrastructure decisionsHow to avoid vendor lock-in while maintaining strong strategic partnerships with cloud providersWhat distinguishes a true platform from a bundle of SaaS tools—and why that matters for scale and governanceThe ARC model (Accelerate, Replace, Create) for deploying AI initiatives that matterHow AI is reshaping leadership expectations—and why C-suite roles must evolve or risk becoming obsoletePreparing for the shift from centralized AI to edge-native intelligenceTune in for a bold, business-first perspective on what’s next for IT infrastructure, from one of the industry’s top voices in networking and cloud innovation.

    The Future of Infrastructure Starts with Smarter Simplicity

  8. 12/19/2025

    What Modern Infrastructure Needs to Stay Secure and Agile

    In this episode of The Hitchhiker’s Guide to IT, host Michelle Dawn Mooney sits down with Galvin Widjaja, CEO and co-founder of Lauretta.io, to explore the intersection of situational awareness, AI-driven infrastructure, and ethical design. Widjaja’s journey defies expectation. From managing a family-run restaurant in Singapore to leading behavior-based AI initiatives with the U.S. Department of Homeland Security, his career reflects a unique blend of technical innovation and human empathy. At Lauretta.io, he’s reimagining video analytics—not through facial recognition or biometrics, but by understanding behavior and context while putting privacy first. The conversation covers: Why designing AI systems around intent and behavior—not identity—unlocks powerful use cases in environments like airports, retail, and military basesHow Lauretta.io's privacy-first infrastructure mimics the value of cookies in the digital world—tracking context without compromising personal dataReal-world examples where intelligent, non-invasive surveillance reduced threat response times from hours to minutesWhat it takes to unify fragmented data across airport checkpoints and deliver seamless security profiles in real timeHow IT leaders can implement privacy-aligned architecture through intentional data collection, risk calibration, and behavioral aggregationWhether you're building smart physical infrastructure, advancing ethical AI, or modernizing situational awareness tools, this episode offers a bold look at what's next and how to do it responsibly.

    What Modern Infrastructure Needs to Stay Secure and Agile
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