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Published by Park Place Technologies
Every CIO right now is being asked to do more with less: modernize the stack, secure the perimeter, embrace AI…and still somehow come in under budget. The Savvy CIO is a podcast for business leaders who are living that tension - not the ones writing thought-leadership posts on LinkedIn about it. Brought to you by Park Place Technologies, this is the show that trades buzzwords for real talk; cost versus control, innovation versus risk, cloud versus local…the tradeoffs that IT leaders navigate every single day, told by people who have actually been through them. Join host and former CIO himself Bradd Busick as he sits down for frank, honest conversations that any CIO worth their salt needs to be having. Because the savviest CIOs aren’t chasing every trend - they’re figuring out which ones are actually worth the budget.
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Zachary Smith, CEO and co-founder of Datum, joins host Bradd Busick to talk about why data centers are breaking their longstanding rule of keeping liquid away from the chips. Zac walks Bradd through the history 101 lesson on why AI has superheated cooling needs beyond what air can handle, how to choose the right liquid cooling option for your stack, and when you need to start planning for more efficient heat extraction (spoiler: it’s probably sooner than you think.) Drawing on his own journey of fixing PCs to pay his way through his degree in classical performance at Julliard, to becoming a trusted expert in the latest tech advances for digital infrastructure, Zac delves into the very real constraints facing mixed and legacy facilities alike and practical tips on how to avoid an expensive 2am maintenance disaster. Plus Chris Carriero, Chief Technology Officer at Park Place Technology, also weighs in with his take on whether data centers are actually ready to embrace liquid cooling, what needs to change in order to effectively transition away from air without melting everything down, and the puzzle pieces that companies and leadership cannot overlook if they want to keep up. Highlights: 8:56 What even is liquid cooling? 12:57 How do you pick the right kind of liquid cooling? 17:22 How hard is it for a data centre to implement liquid cooling? with Chris Carreiro 21:31 What do you need to be aware of when it comes to implementing liquid cooling? Links: Park Place Technologies: https://www.parkplacetechnologies.com/ The Savvy CIO podcast page: https://www.parkplacetechnologies.com/the-savvy-cio/ Bradd Busick: https://www.linkedin.com/in/bbusick/ Facebook: https://www.facebook.com/ParkPlaceTech LinkedIn: https://www.linkedin.com/company/park-place-technologies/ X: https://www.linkedin.com/company/park-place-technologies/ YouTube: https://www.youtube.com/parkplacetechnologies Instagram: https://www.instagram.com/parkplacetechnologies/ Blog post: https://www.parkplacetechnologies.com/blog/data-center-liquid-cooling-vs-air-cooling/
In this inaugural episode of The Savvy CIO , host Bradd Busick speaks with Dr. Radha Plumb, IBM’s VP of AI-first transformation and former Pentagon chief digital and AI officer, about making real-world AI deployments audit ready. She breaks down the tough questions, like: How does your LLM differ from the legacy systems your auditor is used to looking at? Which amorphous risks do you need to be on the lookout for if you want to keep up the pace of progress? Can ensuring your systems are doing what you want them to do actually enable speed in your AI governance? They also discuss end-to-end compliance hurdles: role-based access control and data access decisions; the need for an orchestration layer to route data between LLM and deterministic methods; and why many failures occur at this intersection between technology and process. Using the IBM model, where they’re “taste testing their own cooking”, Dr. Plumb emphasizes model transparency, the importance of bounded data for regulated decisions, why early CISO involvement is critical in designing for security, and why documenting enterprise workflows allows for not just a faster AI deployment - but one that can actually withstand an audit. Highlights: 02:53 Meet Dr Radha Plumb 06:17 Why are auditors & LLMs fundamentally at odds? 14:07 What’s the difference between governing the data versus governing the LLM itself? 18:40 Is it possible to have speed and security in AI? Links: Park Place Technologies: https://www.parkplacetechnologies.com/ The Savvy CIO podcast page: https://www.parkplacetechnologies.com/the-savvy-cio/ Bradd Busick: https://www.linkedin.com/in/bbusick/ Facebook: https://www.facebook.com/ParkPlaceTech LinkedIn: https://www.linkedin.com/company/park-place-technologies/ X: https://www.linkedin.com/company/park-place-technologies/ YouTube: https://www.youtube.com/parkplacetechnologies Instagram: https://www.instagram.com/parkplacetechnologies/
Being a CIO can be a tough gig in today’s world: it’s a big task to find the time, skillsets, and budgets necessary to maintain legacy IT infrastructures…all while simultaneously transforming operations and making high-stakes decisions that will shape the future of the business. From getting your LLM audit-ready, to figuring out which liquid cooling option is the right choice, to planning what you hope isn’t your first-and-last AI buildout, these days modern tech leadership feels more and more like you’re navigating an obstacle course of critical inflection points. Luckily, you don’t have to make these decisions alone. Each episode of The Savvy CIO, we unpack these challenges, explore what’s next, and help you make smarter decisions with confidence. Come along with host and CIO himself, Bradd Busick, as he sits down with fellow leaders focused on modernizing, staying resilient, and keeping on top of technology that moves faster than budget cycles. Brought to you by Park Place Technologies, helping enterprises fuel innovation by reducing the time and money spent on IT infrastructure management - all while boosting performance and uptime. Subscribe now to listen to season one, debuting July 22nd, 2026, wherever you get your podcasts.
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Apple Podcasts rankings via the Mato Topic Intelligence Platform.
Observed September 11, 2026. Cached outside the daily freshness window; the positions keep the date they were taken on.
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