Explore every episode of the podcast The Savvy CIO

Host Bradd Busick welcomes Omdia analyst Roy Illsley onto The Savvy CIO to get the data-informed skinny on the sunk costs that bleed out AI initiatives - and you might be surprised to hear that it’s not necessarily the pilots, consultants, or even the platforms themselves.

Roy pulls back the curtain on some of the more insidious costs of AI: poor utilization, lack of monitoring or proper measuring, and underestimations of token economics. He explains that being AI ready doesn’t just mean that your infrastructure can support the physical tech demand - it also needs to include organization-wide upskilling, strong data and security protocols, and clear governance led by accountable leadership. 

In the balancing act of innovation versus risk, AI makes it easier than ever for anyone in your organization to accidentally expose corporate data through public models, creating all new challenges in compliance and competitive threats - and with decades of experience under his belt and vast amounts of data at his fingertips, Roy’s seen all the mistakes that can be made with his own eyes. While there’s no “Roy-AI” yet, at least in this episode you can get answers to some of the biggest questions facing CIOs today: if the real value of AI comes from productivity gains, what kind of process, role, and model redesign needs to make it happen - and how can you manage all these rapid changes AND keep your budget, job, and sanity?

Highlights:

5:24 What does “being AI ready” actually mean?

9:45 What are the real hidden costs of AI?

16:39 Horror stories from the front lines of AI adoption

19:08 What does a company have to do differently to make their AI buildouts worth the cost?

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/

Roy Illsley: https://www.linkedin.com/in/royillsley/

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/

Report: https://omdia.tech.informa.com/om142916/the-ai-data-readiness-mandate

AI Readiness Tool: https://omdia.tech.informa.com/-/media/tech/omdia/brochures/ai/ai-readiness-tool-user-guide-040821.pdf?rev=305bff37956a465db04f08ae0634e646&hash=34F6FCB58AFBEAB33F08DCB000D74F40

Skylar Roebuck, CTO of Solvd and self-proclaimed serial entrepreneur with the receipts to back it up, sits down with host Bradd Busick to talk about what he calls the “last mile” of AI engineering: making ambition align with infrastructure reality. They bite into one of the toughest questions facing industry right now to get to the bottom of why AI proof-of-concepts that seem to work perfectly as a demo crash and burn when they’re rolled out at scale. 

Skylar explains that the problem most people run into with AI is treating it like a tech project, when in reality successful integration relies on organizational change efforts to embed the “how” into the “what”. They discuss the need to weave agents across all business units into the very fabric of the way things get done, how weak infrastructure and unclear value beyond cost-cutting contribute to the all-too-common story of AI buildouts failing, and why slow movers are facing an existential risk - while fast movers are contending with an ever-increasing demand for agility. 

Tune in to hear Skylar’s recommendations on why keeping a diversified AI portfolio is the best option for quick wins, steady bets, and game-changing ideas that go beyond “random acts of AI”.

Highlights:

6:06 How many AI buildouts are really failing?

13:40 What does AI actually cost?

16:30 What’s at risk if you’re slow to the ball on AI?

21:24 How can you make your AI buildout successful?

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/

Skylar Roebuck: https://www.linkedin.com/company/solvdinc/

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/

Solvd: https://solvd.com/

Solvd press release: https://solvd.com/news/new-ai-research-solvd/

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 Carreiro, 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.