Machine Dreams

Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027 due to escalating costs, unclear business value, and inadequate risk controls. Enterprises are building fast and failing fast. The problem isn't the models or the ambition. It's that agents can't actually talk to each other. Most companies are deploying single agents in silos when the real future require...

What happens when your company doesn't hire one AI agent... but a thousand? In this episode of Machine Dreams, BAND CEO Arick Goomanovsky explains why the future of enterprise AI isn't about bigger models, it's about getting thousands of AI agents to discover each other, trust each other, and work together. From personal AI assistants and digital coworkers to the rise of an "Internet of Agents," t...

The cybersecurity industry has spent decades getting better at finding vulnerabilities. Better scanners, better scoring systems, better detection. And yet breaches keep happening. The problem isn't discovery anymore. It's that security teams are drowning in critical alerts, most of which turn out to be noise, while the real bottleneck remains: how do you actually fix what matters before attackers...

AI is about to flood cybersecurity with vulnerabilities, and most companies are nowhere near ready for what comes next. In this episode of Machine Dreams, Tonic Security co-founder and cybersecurity veteran David Warshavski breaks down why Anthropic’s Mythos model is a warning sign for the entire industry, how AI is accelerating both cyberattacks and defense, and why organizations drowning in aler...

AI agents are being deployed across enterprises faster than security teams can track them. Employees aren't waiting for approval. They're spinning up agents connected to Salesforce, HubSpot, and the most sensitive company data because they've been told to move faster. Most organizations have no visibility into what these agents are doing, what permissions they hold, or where the risk actually live...

AI agents are already inside companies making decisions, accessing sensitive systems, and moving faster than most security teams can track. But here’s the real question: who’s actually governing them? In this episode of Machine Dreams, Reco CEO Ofer Klein joins us to unpack the rise of AI agents, the “oh sh*t” moment happening in boardrooms, why companies are rushing into AI before security catche...

AI agents are already deployed across enterprises. They touch company data, hold permissions, and perform actions on behalf of employees. But most organizations have no visibility into what these digital workers are actually doing. This isn't shadow IT where someone installs unauthorized software. This is shadow AI, and it's moving faster than any governance framework was built to handle. Shahar T...

AI agents are already operating inside enterprises. They're touching company data, performing actions, and working on behalf of employees. But most organizations have no visibility into what these digital workers are actually doing. Demand for AI adoption is moving faster than governance can keep up. Shahar Tal is a veteran of Israel's elite 8200 unit and CEO of Cyata, a company he built in 2024 t...

Security teams are buried. Alerts pile up faster than analysts can triage them. Investigations take days or weeks. By the time threats get contained, the damage is done. Meanwhile, adversaries are starting to use AI agents to find vulnerabilities at machine speed. The defense is still running at human speed. That imbalance is about to break the entire security model. Tom Findling is CEO and co-fou...

AI is no longer just assisting security teams. It is starting to investigate, triage, and respond at machine speed. Tom Findling is CEO and co-founder of Conifers, a company building AI SOCs that take ownership of security investigations in real time without waiting for human analysts. Tom explains what he calls the agentic blue team, a future where AI handles threat intelligence, investigation, a...

Most B2B companies get pitched AI that sounds great in demos but doesn’t fix what’s actually broken: fragmented systems, manual order entry, and buyers who just want things to work. Aaron Sheehan has spent over a decade building eCommerce platforms for manufacturers and distributors. He’s VP of Strategy and Partnerships at OroCommerce, and he’s not buying the hype. Instead, he shows us the right w...

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,...

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...

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 h...

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, an...

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.

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—...

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 te...

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 det...

Money is moving faster than ever, and so is financial crime. Traditional systems weren’t built for this pace. In this episode of Machine Dreams, we sit down with Brad Levy, CEO of ThetaRay, to explore how AI is helping banks detect money laundering in real time, adapt to global crises, and rethink the future of financial security. Live today on YouTube, Spotify, and Apple Podcasts. 7pm GMT+1. 6pm...

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 ident...

What if universities could know a student was about to drop out before it actually happened? In this episode of Machine Dreams, Raz Dar, CEO of Elvee, explains how AI can detect early warning signs hidden inside student behavior data—from assignment patterns to engagement levels—and help universities intervene before students fall through the cracks. Live today on YouTube, Spotify, and Apple Podca...

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 B...

This episode of Machine Dreams Podcast takes a different turn. The Nancy Guthrie kidnapping has dominated headlines. Perpetrators demanded millions in Bitcoin. Immediately, crypto was blamed as anonymous and untraceable, built for crime. Katherine Kirkpatrick Bos, General Counsel at StarkWare, explains why that’s wrong and how AI is changing crypto in ways most people don’t realize. This episode c...

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 agen...