CLEVELAND, July 22, 2026 (GLOBE NEWSWIRE) — In the debut episode of the podcast “The Savvy CIO,” Dr. Radha Pram, IBM’s vice president of AI First Transformation, debunks the idea that CIOs can “take the magic of AI and sprinkle it on processes that are perhaps too complex or poorly specified and that it will deliver truly measurable business outcomes, and that’s just it.” No. ”
In this podcast, sponsored by Park Place Technologies, Plumb and host Bradd Busick discuss how CIOs balance the rush of AI adoption with budget pressures, audits, security, and the everyday need to keep the lights on.
“You take a large amount of data into a flat file, like a spreadsheet, and you apply a known statistical formula, like an average. You put it in, and the other side comes out, it prints out the average, and you can collect it over and over again to get a distribution. Or you can look at it over time to get a time series,” Plumb said. “Those are all deterministic results. What LLM does is take a huge amount of data and connections that we know and don’t know, and put an inference layer on it to come up with combinations of information that we don’t know about and that we couldn’t have predicted would yield speculative rather than deterministic results. That’s the black box. That’s kind of the secret sauce, so to speak.”
Plumb added that the advantage of the process is that it produces a lot of things that users had never thought of before, but the disadvantage is that users don’t always know exactly what led to that result or how to reproduce it.
In this episode, available on Apple, Spotify, and Amazon, Plumb discusses IBM’s approach to data governance, balancing speed and security, and workflow practices with banks and governments.
Prior to joining IBM, Dr. Radha Puram spent three years at the highest levels of the U.S. Department of Defense, serving as the Pentagon’s principal officer for digital and artificial intelligence. There, he led the department’s AI, data, and analytics implementation efforts, creating new pathways for acquiring and scaling digital technologies at one of the largest and most highly regulated organizations on the planet. She holds a PhD from Princeton University, a BS from Massachusetts Institute of Technology, and has held senior positions at Google, Facebook, Rand Corporation, and Perry World House at the London School of Economics. Her role at IBM is to operationalize AI technologies and concepts internally and test them before deploying them to clients.
upcoming episodes
- August 5th — Liquid Cooling: When, Where, and Why? — Zach Smith, Co-Founder and CEO @ Datum
- August 19th — Why AI Buildout Fails — Sklyar Roebuck, CTO @ Resolved
- September 2nd — The hidden costs of AI-enablement — Roy Illsley, Chief Analyst @ Omdia
- September 16th — Managing Hidden Spends — Mark Dunkerly, CISO/VP IT, Coca-Cola Bottlers
- September 30th — Post-assurance — Rob Brothers, Industry Analyst @ IDC
- October 14th — Monitoring: Build or Buy? — TBA
- October 28th — Mind the Skills Gap — Jason Elrod, CISO, MultiCare Health
- November 11th — Global IT, Local Rules — TBA
- November 25th — Amnesia — TBA
About Park Place Technologies
Park Place Technologies is one of the world’s leading IT infrastructure services companies with annual revenues of $1.2 billion and 3,300 employees. We help more than 25,000 organizations in 180 countries, including half of the Fortune 500 companies, drive innovation by dramatically reducing the time and money they spend managing their IT infrastructure while improving performance and uptime.
Leveraging the world’s largest field engineering team, a strong group of highly skilled engineers, and a global enterprise operations center, Park Place delivers significant cost savings on hardware maintenance, software technical support, hardware procurement, and more. It also streamlines IT infrastructure management, freeing up internal teams from day-to-day tasks and freeing them to focus on strategic initiatives.
For more information, please visit ParkPlaceTechnologies.com.
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