Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

AI is accelerating so fast that it’s starting to feel less like a normal tech wave and more like a societal gear shift, and that speed has consequences. I sit down with Nithin Mohan, an AI and supercomputing leader, to unpack what it really takes to build products for massive HPC systems, lead teams of deep technical experts, and stay grounded while generative AI transforms how work gets done.

We start with Nithin’s journey from joining an early-stage startup to helping scale enterprise innovation, then move into leadership tactics that actually work with highly skilled engineers and researchers: hiring for aptitude, empowering real autonomy, and shaping work so people can hit a true flow state. From there, we widen the lens to the inflection point where artificial intelligence, high-performance computing, and energy intersect. AI needs infrastructure, and infrastructure runs on energy, so energy efficiency and grid readiness become part of every serious AI strategy.

We also explore the upside: faster drug discovery, better climate modeling, and a future where AI plus supercomputing could compress research timelines in ways that change public health and the economy. Along the way, we call out two essentials that often get missed in the hype cycle: curated data and strong data governance, and a serious commitment to AI ethics and policy that keeps pace with technical progress.

If you care about AI leadership, supercomputing, responsible AI, and the future of work, this conversation is for you.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

A stolen credential can do more damage than a noisy “hack”, and AI is about to multiply the number of identities your organization has to defend. We sit down with cybersecurity and risk executive James Imanian to unpack why identity security has become the new center of gravity for cyber defense, and why many teams are still underestimating machine identities such as service accounts, tokens, and secrets.

From there, we push into what’s next: AI agents that can execute tasks independently, call other agents, and operate at scale. That capability is exciting, but it also creates real governance questions. What identity should an agent have? What access is appropriate? What gets logged? And what happens when an agent tries to “get the job done” by reaching into systems a human would know to avoid? We talk practical guardrails, emerging best practices, and why waiting for perfect standards is a losing strategy.

We also zoom out to the board and executive lens. Ethical AI and people-centered security are not add-ons; they’re how organizations protect decision integrity when data is compromised or poisoned. If your AI strategy ignores identity governance, privileged access management, audit logs, and data integrity, you’re not moving fast, you’re building on sand.

Welcome to "AI or Not," the podcast where we explore the intersection of digital transformation and real-world wisdom, hosted by the accomplished Pamela Isom. With over 25 years of experience guiding leaders in corporate, public, and private sectors, Pamela, the CEO and Founder of IsAdvice & Consulting LLC, is a veteran in successfully navigating the complex realms of artificial intelligence, innovation, cyber issues, governance, data management, and ethical decision-making.

A newborn can look “mostly fine” and still be minutes away from a life-altering diagnosis. The hardest part is that the most effective treatment, therapeutic hypothermia, only works when clinicians can identify brain injury within about six hours after birth. That time pressure, plus limited access to EEG experts, leaves too many families without a clear answer when it matters most.

I sit down with Marc Fiammante, a retired IBM Fellow who became a PhD student at the Paris Brain Institute for one practical reason: legal access to the medical data needed to build better tools. We unpack what newborn EEG monitoring really looks like at the bedside, why black-box deep learning can fail the trust test in medicine, and how “symbolic AI” and signal processing can create decisions clinicians can audit. Marc Fiammante shares how listening to a neurophysiologist interpret EEGs led to a breakthrough approach that models brain dynamics, producing a distinctive “Batman mask” pattern in healthy newborns and enabling high-accuracy, traceable comparisons across patients.

We also get honest about what it takes to move from research to impact: strict data selection within the first six hours, avoiding confounders, navigating patents and publication rules across the US and Europe, and designing a lightweight, lower-cost path toward a portable device that more maternity wards can actually use. If you care about healthcare AI, explainable AI, AI governance, or real-world digital transformation, this conversation offers a grounded blueprint for building systems that augment clinicians rather than replace them.

Additional Links:

https://www.sciencedirect.com/science/article/pii/S0169260725005826

https://patents.google.com/patent/WO2025186361A1/en

https://foundation.generali.at/en/

https://www.thehumansafetynet.org