Machine Dreams

Machine Dreams - Episode 18 Trailer

Most B2B companies are being sold flashy AI demos that don’t solve their real problem: fragmented back-office systems, manual order processing, and customers who just want a reliable portal. Aaron Sheehan (VP of Strategy at OroCommerce) has spent over a decade building for manufacturers and distributors-and he’s not buying the hype. In this episode, he explains why agentic commerce is years away, where B2B AI budgets should actually go, and the one word that separates a real solution from a magic eight ball. If you sell to other businesses and you’re tired of being pitched AI that doesn’t work, this conversation is for you.

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Can AI Replace Your Rabbi Or Pastor? Two Faith Leaders Answer Honestly

Many people are now turning to AI chatbots like ChatGPT and Claude for spiritual guidance, asking algorithms questions that used to go to rabbis and pastors. That shift raises questions religious institutions have never faced before. In this special episode, we sit down with Rabbi Bentzi Sudak of The Centre - Chabad Hampstead Garden Suburb, United Kingdom and Pastor Tomiwa Immanuel of Celebration Church International, Ibadan, Nigeria, to discuss this shift. Both lead communities rooted in ancient traditions. Both are watching AI reshape how people connect with faith. Rabbi Sudak explains why AI can provide information but misses the human journey that makes faith meaningful. Pastor Tomiwa breaks down why dependency on AI for spiritual guidance risks replacing intimacy with God. We also discuss whether religious people can be tech-savvy, what role faith leaders should play in shaping AI tools, and whether AI was part of God’s design all along, and much more. A Passover and Easter special. ONLY on Machine Dreams Podcast.

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Machine Dreams - Episode 17 Trailer

Our next episode on Machine Dreams Podcast is one unlike any other. In this special edition, we talk about something that most people don’t talk about: The interplay between AI, faith, community, and meaning. Many people around the world are turning to AI chatbots for succor, meaning, and to find answers to life’s many existential questions. But what does it mean for institutions of faith, which have traditionally been the pillar of meaning and purpose for many? Is AI disrupting religion as we know it today? Can AI get you closer to God? What’s technology’s role in the simple but deeply important issues of faith, community, and purpose? Our guests, Rabbi Bentzi Sudak and Pastor Tomiwa Immanuel, cut right into the very meat of the matter. They answer, without equivocation, some of the most pressing issues about AI and religion today. This is one episode you shouldn’t miss for anything. ONLY on Machine Dreams. LIVE today at 8pm GMT+1, 8pm UK, and 3pm EST. Watch on YouTube; listen on Spotify and Apple Podcasts. Subscribe, share, and engage!

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AI Is Flooding Journalism. This Analyst Shows Where To Draw The Line

The AI in journalism debate is trending hard right now. The Wall Street Journal recently reported on journalists using AI to boost output. Tech.eu suspended a senior correspondent for using AI-fabricated quotes in his reporting. And now everyone’s asking: Where’s the line? In this episode of Machine Dreams, we sit down with Victor Dey, tech analyst and writer for Fast Company, Forbes, Observer, and more. Victor breaks down where the line is between using AI as a research tool and crossing into unethical territory that destroys credibility. But this conversation goes beyond journalism. We talk about agentic AI reshaping how software companies price their products, quantum computing converging with AI infrastructure, and what Victor sees behind the scenes interviewing top executives at some of the world’s biggest tech companies.

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Machine Dreams - Episode 16 Trailer

AI is flooding journalism. Reporters are getting suspended for fabricating quotes with AI. Publications are catching writers who generated entire stories with language models. The debate is raging across newsrooms and social media about where the line should be. Live today on YouTube, Spotify, and Apple Podcasts. 7pm GMT+1. 6pm UK. 1pm EST.

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This AI Can Predict Your Behavior From How You Speak

In this episode, hosts Samuel Adebayo and Leah Stern sit down with Hafeez Jacobson, CEO of Daatra Holdings, to explore how AI is reshaping the software industry. Hafeez explains why companies are moving beyond traditional SaaS models toward “data as a service,” using real-world examples from finance and HR. Through Daatra’s VoiceSense technology, they analyze the behavioral cues in natural speech—not just words—to help banks assess risk, HR teams make hiring decisions, and even support mental health monitoring. The conversation dives into how this approach can provide insights at scale, especially for underserved populations without traditional credit histories. Hafeez also addresses critical questions around bias, privacy, and the difference between AI and machine learning. He explains how focusing on vocal patterns rather than content helps reduce demographic bias, and why companies must integrate AI into existing processes rather than chasing novelty. From the origins of the technology in government stress testing to its future in remote patient monitoring, this episode cuts through the hype to reveal what is genuinely new—and what is simply a fresh coat of paint—in the world of behavioral AI.

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Machine Dreams - Episode 15 Trailer

What if your voice could predict your future behavior? This isn't science fiction. On this episode of Machine Dreams, we explore how Daatra Holdings uses AI to analyze the "music" of your speech, not just the words, to help banks assess risk and HR teams make hiring decisions. CEO Hafeez Jacobson explains the difference between AI and machine learning, how this tech evolved from military stress tests, and why they focus on "EQ" (emotional intelligence) over traditional "IQ." Find out how AI is listening to the world and what it hears when you speak. Live today on YouTube, Spotify, and Apple Podcasts. 7pm GMT+1. 6pm UK. 1pm EST.

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AI Agents Can Now Investigate Financial Crime Faster Than Humans

Financial crime is becoming more complex, more connected, and harder to detect. As money moves across borders in real time, many of the systems banks rely on were built for a very different era. In this episode of Machine Dreams, Sam and Leah speak with Brad Levy, CEO of ThetaRay, about how AI is being used to detect and investigate money laundering across global payment networks. From anomaly detection to “cognitive AI,” Brad explains how these systems move beyond static rules to identify patterns that don’t look right—even when no one has seen them before. The conversation also explores how geopolitical conflicts reshape financial flows, why banks still struggle to modernize, and whether AI-powered agents will replace human investigators or make them more effective.

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Can AI Predict When Students Will Drop Out?

Nearly one third of college students drop out every year. According to Elvee's 2026 Higher Education Retention Report, 42% of students say they've felt close to leaving at some point. The drivers aren't just academic. It's burnout, financial pressure, mental health struggles, and trying to balance work with school. In this episode of Machine Dreams, Raz Dar, CEO of Elvee, explains how AI can identify students at risk of dropping out before it happens. The system analyzes over 100 behavioral signals from learning management platforms like Canvas and Blackboard. We also talk about how the same technology tracks employee burnout in contact centers, why Elvee avoids demographic data to prevent bias, and what happens when universities actually measure whether their interventions work.

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The Nancy Guthrie Case And The Truth About Bitcoin

This episode of Machine Dreams comes with a twist. We’re diving into the Nancy Guthrie kidnapping case, a story that’s dominated headlines and sparked fierce debate about cryptocurrency, crime, and public misconception. When news broke that the perpetrators demanded millions in Bitcoin, the narrative wrote itself: That crypto is anonymous, untraceable, and built for criminals. But that’s not how Bitcoin works. Katherine Kirkpatrick Bos, General Counsel at StarkWare, breaks down what most people get wrong. “Bitcoin isn’t anonymous,” she tells us. “It’s pseudonymous.” Every transaction lives on a public ledger forever. In addition, machine learning tools from companies like Chainalysis and Elliptic can trace crypto across wallets and exchanges with precision cash never offered. In other words, the technology people think helps criminals is actually what catches them. We also discuss how AI is changing crypto in ways most people don’t realize. Machine learning is now being used to hunt down criminal activity on blockchain networks, tracking patterns humans would miss. Katherine explains zero-knowledge proofs— a technology that could let companies use AI on sensitive data without ever seeing the actual information. And she breaks down why privacy, long confused with anonymity in crypto, is now the key to getting Wall Street fully on board with blockchain. Get more in this brand new episode of Machine Dreams.

Your Employees Are Using AI You Don’t Know About—And It’s A Security Nightmare

Most companies believe they’ve approved 30 apps. The truth? Over 500 are running right now. Your employees aren’t waiting for IT approval. They’re using ChatGPT instead of the Copilot you paid for. They’re uploading sensitive data to free design tools that train on your information. They’re connecting AI agents to Salesforce, HubSpot, and your knowledge base without anyone tracking what those agents can access. This is shadow AI. And it’s spreading faster than your security team can see it. Gal Nakash is co-founder of Reco and Forbes 30 Under 30 honoree. He explains why AI agents are now crown jewels for hackers. Compromise one agent and you access every system it touches. He walks through the moment CISOs see their real AI footprint for the first time and realize traditional security assumptions no longer hold. The companies that survive won’t be the ones blocking AI. They’ll be the ones who assume chaos is permanent and build security that can keep up. Learn more in this very insightful conversation.

How This Biotech Founder Studies Breast Milk To Design Unique Therapeutics

Most AI drug discovery companies fail in clinical trials. Maolac’s success rate? 10 out of 10. In this episode of Machine Dreams, CEO Maya Ashkenazi Otmazgin explains how her company uses “protein intelligence” to reverse-engineer breast milk’s biological playbook, designing therapeutics that mimic what nature already perfected. We discuss why biological data is scarce, how Maolac compresses drug timelines without cutting safety corners, and why women’s biology demands different solutions than men’s. If you’re tired of AI drug discovery vaporware, this conversation is for you.

The Age of Digital Humans Has Already Begun

Digital humans are no longer a concept. They’re already showing up in how we learn, work, communicate, and interact online. In this episode of Machine Dreams, we sit down with Ron Friedman, head of content and creative marketing at D-ID, to talk about what AI-powered digital humans actually are, how they’re being used in the real world today, and why they’re becoming the next interface between people and machines. From business and accessibility to trust, identity, and responsibility, this conversation looks past the demos and into what this shift really means.

“You Can’t Worship AI”: Building Brain Recovery Tech That Puts Patients First

One in four people over 65 will have a stroke. Most will survive, but survival doesn’t mean recovery. While we’ve built data centers in space, stroke patients are still treated with 19th-century physical therapy. In this episode of Machine Dreams, we sit down with Yotam Drechsler, CEO of BrainQ, who’s building what he calls “NVIDIA for brain recovery.” His AI-powered platform retrains neural networks damaged by stroke, helping patients recover at home through personalized electromagnetic fields and telemedicine. Yotam explains why AI started in neuroscience but left the brain behind, why the first weeks after stroke matter so much, and what “responsible AI” actually means when patients are elderly, fragile, and trying to regain the ability to button their own shirt. We push back on the fear of AI replacing doctors and ask how you balance innovation with patient safety when families must trust an algorithm with their most precious asset. This is AI beyond the demo—where the stakes are personal, timelines span decades of R&D, and getting it wrong means more than a bad user review.

His VC Firm Just Raised a $140M Fourth Fund. What He Says About AI Cuts Against the Narrative

In this episode of Machine Dreams, we sit down with Judah Taub, Co-founder and Managing Partner at Hetz Ventures, fresh off closing the firm’s $140M Fund IV during wartime and a period of global uncertainty. Hetz now manages close to $500M in assets, and Judah has a front-row view into what serious investors are funding in AI and what they are walking away from. We talk about why Judah sees this moment as the internet in the late 1990s, why “AI bubble” is really two different debates, and what separates durable AI businesses from fast demos. He breaks down the signals he watches, including a sharp test most founders don’t like to hear: does GPT-X make you obsolete, or does it make you stronger? We also unpack why infrastructure and deep software still win in Israel, what “color of revenue” means in practice, and where returns may actually accrue over the next five years as AI fragments into large models beyond language. If you’re building, investing, or trying to understand where the real money is going in AI, this is the conversation that cuts through the noise.