Unscripted with Jeff Pedowitz

Most podcasts let their guests give the answers they came prepared to give. This one doesn’t.Unscripted is where Jeff Pedowitz — CEO of The Pedowitz Group and one of the most recognized voices in AI-driven revenue marketing — sits down with the builders, thinkers, and leaders who are actually shaping what comes next. Not the keynote version. The real version.Every conversation runs through the same throughline: AI is no longer the story, it’s the substrate. What does that mean for the companies being built, the policies being written, the institutions trying to hold, and the humans navigating all of it?Guests come from everywhere — drug discovery, politics, investment, education, creative work — because the AI question doesn’t belong to any one industry. It belongs to everyone trying to do something that matters in a world that’s changing faster than the frameworks we use to understand it.No scripts. No softballs. No prepared answers left standing.Jeff asks what no one else though

Unscripted with Jeff Pedowitz is a technology podcast hosted by Jeff Pedowitz, with 20 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Jeff Pedowitz hosts Unscripted with Jeff Pedowitz, a technology show with 20 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #21

  Season 1. Episode 21. Unscripted with Nico Ianeselli

  Aug 19, 202644 minS1

  Nico Ianeselli wanted to be a doctor like his father until he heard it took 11 years, so he earned dual master's degrees in engineering and architecture instead. In this conversation with Jeff Pedowitz, the Chen Moore and Associates technology chief explains why construction's slowness isn't resistance but survival (a missed error means collapse, not a bug fix), and why safety-critical industries need humans in the lead, not just in the loop. He breaks down what digital twins actually do, from simulating hurricanes and full-load bridge scenarios to the 4D construction sequencing that avoided major mistakes on the $2.2 billion Muskrat Falls dam, and makes the case that IoT sensors plus digital twins could stretch a bridge's 50-year lifespan toward 200. Fresh from a conference trip to China, he delivers a blunt geopolitical read: Europe is crawling, America is walking, China is running. He takes on the unanswered AI liability question hanging over the Professional Engineer's stamp, flips the data center energy debate with his 4% versus 96% argument, and closes with a 50-year vision of AI contributing genuinely new engineering principles. His advice to a fearful Gen Z: magic is on the other side of fear.

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  Episode #20

  Season 1. Episode 20. Unscripted with Jennifer Preston

  Aug 14, 202646 minS1

  Jennifer Preston is a biomedical engineer with a PhD who now leads AI strategy for the consultants shaping drug development and commercialization decisions across pharma and biotech. Her firm uses AI to create synthetic patients and synthetic physicians, digital stand-ins that get interviewed and surveyed to test drug messaging before any real human is involved. She joins Jeff to answer the uncomfortable question underneath it all: what does it mean when healthcare starts making decisions based on people who don't exist?

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  Episode #18

  Season 1. Episode 18. Unscripted with Camberley Bates

  Jul 27, 202646 minS1

  Camberley Bates has spent 30-plus years as one of enterprise technology's most respected independent analysts, paid to cut through vendor hype and tell executives what's real. On this episode of Unscripted, she and Jeff unpack what IBM's earnings dip really signals (AI infrastructure spending delayed mainframe upgrades, not weakness), why 70 to 80 percent of enterprise data still lives on-prem, and why cloud-first has given way to workload placement. She explains the physics nobody can outrun: latency and data gravity make moon-based data centers a fantasy and on-prem AI stacks a boom for Dell and HPE. Bates gets candid about prompt privacy (she wouldn't bet enterprise data stays out of training models), the SaaS valuation crisis, the data center NIMBY wars, and how to decode "AI-ready" marketing. Her prediction for the claim that ages worst: that AI eliminates work. People need work to have value in their souls.

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  Episode #17

  Season 1. Episode 17. Unscripted with Russ Wilcox

  Jul 27, 202652 minS1

  Russ Wilcox, CEO of ArtifexAI, went from a broken sewer decision in his Cape Cod hometown to advising the Pentagon and State Department on the US-China AI race. In this episode of Unscripted, he tells Jeff how mining boring public records, zoning codes, meeting minutes, and permit archives, unlocks the 85 percent of human knowledge trapped in unstructured data. He explains why he believes the US is currently losing the AI race: China treats AI as infrastructure, with data reservoirs and specialized swarm agents, while the West chases god models built on 15 percent of human knowledge. Wilcox maps China's chip packaging dominance, makes the case for cognitive sovereignty, and lays out his three-part playbook for bringing AI to local government: compliance, decision support, and transparency. His vision: AI that revives local democracy through public-private partnership instead of digital techno-feudalism.

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  Episode #16

  Unscripted with Keith Pijanowski

  Jul 22, 202645 minS1

  Every impressive AI demo sits on an enormous, expensive, and very unglamorous foundation of data. Keith Pijanowski is one of the people who built it. After a decade-plus at Microsoft (where he helped evangelize Azure before its public release) and data pipeline work at BNY Mellon, he now works on the storage infrastructure that AI training and inference actually depend on. He breaks down why hundreds of GPUs hammering storage for months makes training a workload the software industry has never seen, and why inference is no longer lightweight thanks to KV caching across GPU memory, system memory, and network storage. He predicts power ratings will soon rival performance ratings for GPUs, dismisses space data centers as science fiction while taking ocean data centers seriously, and argues the build-out is rational because the Jevons paradox guarantees efficiency gains produce more demand, not less. His deepest concern isn't the machines. It's people publishing content and shipping code they don't understand. Use AI as a productivity tool, but don't let it turn you into an operator.

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