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 moving fast, but most organizations are still stuck at the “more dashboards” stage. We sit down with data analytics and AI executive Zoher Karu to talk about what actually moves the needle: decision intelligence that helps people make the call, not just justify it later. Along the way, Zoher shares a career journey across consulting, retail, finance, and healthcare, and why a business-first mindset beats a technology-first rollout every time.

We dig into a real product example with Taylor.ai, a men’s clothing rental subscription that blends human stylists with algorithms. It’s a surprisingly hard matching problem: understanding a person’s fit, taste, and goals while also understanding the clothing itself and the context around it, from weather to travel. That leads to a bigger takeaway for anyone building AI products: clean feedback loops, clear definitions of “better,” and data that is organized enough to support real decisions.

From there, we challenge a common pattern in enterprise AI strategy: using generative AI to shave minutes off manual work while missing the larger transformation. Zoher argues the bigger prize comes from redesigning the whole process, even asking why the work exists at all. We also get candid about trustworthy AI, security, and why models will always produce an answer even when they are guessing, which raises the stakes for data quality, access controls, and critical thinking.

If you’re leading AI, analytics, or digital transformation, this one is built for you. Subscribe, share it with a teammate, and leave a review with the biggest decision you want data and AI to improve. 

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 can feel like a mind. Brandon Lozano argues it’s something far more practical and far more dangerous when misunderstood: a prediction engine fueled by data quality, incentives, and whatever slips into the pipeline. As we celebrate the anniversary of AI Are Not, we talk with Brandon, lead AI engineer at IsAdvice and Consulting, about how a career that blends computer science, data science, and policy awareness changes the way you build and govern AI systems in the real world.

We dig into Brandon’s path through research, including work at SLAC National Accelerator Laboratory and a formative look at how policing algorithms can inherit bias from skewed datasets. That thread leads straight into today’s generative AI reality: large language models can hallucinate, sound confident, and still be wrong. We unpack why LLMs are best understood as advanced “autocorrect at scale,” why context and memory features can quietly contaminate outputs, and why data integrity and traceability are the foundation of trustworthy AI.

From there, we get hands-on with applied AI for energy and infrastructure, including the challenge of accelerating microgrid adoption when information lives in silos and important inputs sit in unstructured formats like scanned notes and handwritten documents. We also talk AI governance, cybersecurity, and why “ethics” can be called rules or standards but cannot be optional, especially in an AI race mindset. We close with a forward look at robotics, edge AI, digital twins, semiconductors, and rare earth minerals shaping what 2030 may look like.

If you care about AI governance, data quality, cybersecurity, and practical digital transformation, listen now, then subscribe, share with a colleague, and leave a review so more builders and leaders can find the conversation. 

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.

Some people in the United States still live without electricity, and once you sit with that fact, it changes how you hear every promise about innovation. We’re joined by LaRhonda Julien, a performance psychologist and long-time electric utility professional, to talk about what it really takes to expand reliable power to tribal lands and other underserved communities through IEEE’s Electrification of Native Lands Task Force. We get specific about the work: relationship-building with tribes, engineering and technical considerations, permitting and regulatory friction, funding gaps, and the training needed to sustain systems long after the initial build.

From there, we zoom in on AI and the electrification journey. We talk about where AI can genuinely help, like simplifying complicated infrastructure and funding applications, and where we need to be cautious, like overtrusting “AI-powered” vendors, failing to do due diligence, and ignoring data integrity. If communities do not understand how these tools work, AI can create fear, confusion, or even open the door to exploitation. The thread running through it all is human in the loop, not as a buzzword, but as a responsibility.

We also connect leadership to human and organizational performance in high-risk utility environments, with practical examples that make safety feel real across your whole life. If you care about ethical AI, energy access, digital transformation, the future of work, or leading people through fast change, this conversation delivers grounded insight and a clear challenge: put people first, and the results follow. 

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 can save hours of work, but it can also scale mistakes faster than any team can react. That’s why we sit down with independent consultant and former DOE leader LeAnn Oliver to get practical about AI governance, not as paperwork, but as risk management for real systems that touch real people.

We start with LeAnn’s path from public finance into enterprise technology leadership, including automation work that created massive efficiency gains and also introduced hard lessons about change management, data privacy, and handling PII. From there, we dig into what comprehensive AI governance actually means: aligning enterprise architecture, cybersecurity, and policy so autonomous AI agents know what they can do, what they must never do, and when they have to hand control back to a human. We also talk about why quantum and ever-faster compute raise the stakes by accelerating both good outcomes and bad ones.

Then we pressure-test the ideas with real examples: an AI tool that wiped data during development, AI-generated “recommended books” that didn’t exist, and why high-stakes domains like medical interventions and critical infrastructure should have clear human decision points. We also explore the uncomfortable truth behind the race to AI: lots of spending, uneven ROI, and growing legal liability, which is exactly why boards and CEOs need to treat AI governance as strategic oversight, not an afterthought.

If you lead a business, run technology, or advise executives, listen through and share this conversation with someone who’s pushing AI into production. 

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 

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.

Tired of watching incumbents sweep up federal work while your proposals stall? We sit down with Carroll Bernard—Navy veteran, former SBA insider, and co-founder of Govology—to unpack a practical path small businesses can use to win today: start where you can win, build real value, and put AI to work on the right problems.

Carroll traces his journey from supply officer to educator, explaining how Govology has trained over 25,000 learners and why early pursuit beats last-minute bids. We dig into the hidden power of micro purchases as a low-friction onramp, the bigger opportunity across state and local markets, and the mindset shift from chasing certifications to delivering best-value outcomes. You’ll hear why proposals are the final step—not the strategy—and how conversations about gaps, goals, and pain points can shape buyer demand long before a solicitation hits SAM.gov.

We also get tactical with AI. Instead of dangling six-figure platforms, Carroll shows how to map processes, target bottlenecks, and decide where simple automation is enough and where AI’s reasoning adds lift. From using ChatGPT to flag contract risks and sharpen copy to activating Microsoft Copilot and SharePoint, we focus on tools you likely already have. We talk governance, security, and change management so your investment doesn’t gather dust. And we preview Govology’s SAMI chatbot—an AI concierge that turns a course library into a guided learning experience, hinting at a future where every small contractor deploys AI agents to inform buyers, surface past performance, and accelerate decisions.

If you’re a small or disadvantaged business owner looking for a playbook you can afford, this conversation will help you design a value ladder, pick your first winnable targets, and integrate AI step by step with human oversight. Subscribe, share this episode with a fellow founder navigating procurement, and leave a review with the one workflow you’ll automate first.

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.

Crises don’t wait for perfect plans. We sit down with Dr. David Bray—previously IT Chief for the Bioterrorism Preparedness and Response Program, a Senior National Intelligence Service Executive, FCC CIO, Executive Director for two bipartiasn Commissions on tech and geopolitics, and long-time public servant—to explore how leaders make clear, ethical decisions when information is incomplete, politics are hot, and systems are already under stress. From modeling anthrax response and spotting SARS via garlic prices and hospital parking lots to steering the FCC through a bot-fueled flood of 23 million public comments, David unpacks the tactics that keep organizations learning while they act.

We dig into gray zone conflict and why free societies must incubate technology with intention. Hidden chips, untrusted hardware, and disinformation aren’t sci-fi threats; they’re daily realities that call for independent verification, resilient supply chains, and cross-functional playbooks. David argues the real AI risk isn’t a rogue superintelligence but the erosion of the shared commons—those social spaces and norms that let diverse people reason together. He shows how to counter that drift: break silos, invite dissent backed by data, and create structures where rival perspectives do their tug-of-war out loud.

This conversation offers a practical decision toolkit for the AI era. Build a personal board of advisors across humans and machines. Ask for sources, climb to the balcony for a systems view, measure decision elasticity, and plan pivots before you need them. We also talk about the difference between managing and leading, how to process loss without losing momentum, and why moral courage—stating what’s true when it’s inconvenient—still matters. Guided by Rawls’s veil of ignorance and a bias for service over spectacle, David leaves us with a clear charge: protect the commons, choose curiosity over certainty, and be the change where you stand.

If this resonated, subscribe, share with a colleague who leads through uncertainty, and leave a review telling us your favorite takeaway. What’s your pivot plan when clarity lags?

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.

Want to work faster without losing the craft? We sit down with engineering leader Hina Gandhi to unpack the real trade‑offs of coding with AI: where LLMs shine, where they fail loudly, and how to keep human judgment in control. Hina walks us through a hands‑on reinforcement learning project that tunes Apache Spark configurations—showing how agents learn from rewards to optimize performance on skewed, large datasets. That practical story sets the stage for a clear explanation of how LLMs actually work, why precision in prompting matters, and what separates a smart engineer from a lazy one when the model starts suggesting code.

The conversation moves into the changing role of the developer: less brute‑force typing, more reviewer‑in‑chief. We cover the productivity surge—days collapsed into hours—alongside the hidden cost of overreliance, including diminished deep thinking and the temptation to accept plausible‑sounding answers. Governance threads through every segment: fact‑checking against official docs, data freshness, security boundaries, and the need for human approval before agents touch production. Hina shares a striking cautionary tale of an AI agent that ignored instructions and corrupted a live database, underscoring why least privilege and explicit safeguards are non‑negotiable.

We also explore multi‑agent systems and role‑based agents in modern IDEs—ask, plan, debug, implement—that coordinate like a small team. Used step by step, they help preserve architecture and code quality even as sprint velocity rises. Then we dive into Model Context Protocol (MCP), a practical way to give models secure, auditable access to documents and repos so they can summarize, draft designs, and review PRs with real context. The throughline is simple and powerful: augmented intelligence. Let AI handle grunt work and accelerate exploration, while you direct, verify, and own outcomes.

If this conversation helps you sharpen your approach to AI and software quality, follow the show, share it with a teammate, and leave a quick review so others can find it.