Twenty-eight million dollars in savings from one healthcare system. Two million dollars saved in 90 days for another. Kylen Bailey, Executive Director of Growth at Clarium, built an AI platform that consolidates thousands of siloed data sources across hospital supply chains into real-time disruption insights. In this episode of Lead with AI, Dr. Tamara Nall speaks with Kylen about how Clarium predicted Hurricane impacts on gown supplies for Louisiana hospitals, automated preference card management that was stuck in paper binders, and saved healthcare systems tens of millions by eliminating surgical waste. Kylen shares how the platform pulls data from electronic health records, ERPs, distributors, and even weather trajectories to tell supply chain teams exactly which 10 orthopedic surgeries will be affected by factory shutdowns. Clarium remains fully unbiased across suppliers, giving hospitals the intelligence to make informed decisions when disruptions hit. Kylen reveals his vision for warehouse robots working alongside AI platforms, predicts AI has already created more than we realize, and believes supply chain advancements are the most underrated tech trend.

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Thirty percent of all clothes go straight from the factory to the landfill without ever being worn. Zoher Karu, Head of AI at Taelor, built an AI-powered styling platform that tackles this sustainability crisis while solving what he calls "the matching problem" for men's fashion. In this episode of Lead with AI, Dr. Tamara Nall speaks with Zoher about how Taelor learns your preferences, body type, and calendar to deliver outfits that build confidence and reduce waste. Zoher shares how the platform processes data like a brain driving down the street, evaluating weather, upcoming events, fit preferences, and style compatibility simultaneously. One customer landed a job because the right outfit gave him confidence in the interview. Taelor combines machine learning with human oversight, renting clothes to users who can keep favorites and return the rest, creating feedback loops that tell manufacturers what men actually want to wear. For anyone curious about how AI transforms everyday decisions while making the world more sustainable, Zoher explains what happens when algorithms understand style better than most humans.

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Most companies deploying AI models right now cannot prove what's actually running in production. Jesse Williams, Co-founder and COO of Jozu and former VP at Docker, built infrastructure that cuts model audit compilation from three weeks to seconds while solving the security gap keeping enterprise teams awake at night. In this episode of Lead with AI, Dr. Tamara Nall speaks with Jesse about the moment defense contractors discovered their ML pipeline had no single source of truth, how a malicious prompt change slipped into AWS developer tools unnoticed, and why KitOps packages everything into cryptographically signed artifacts. Jesse shares how one team wasted 80 developer hours creating audit logs that Jozu now generates automatically, why infrastructure-level ethics matter more than model guardrails when a Chevy chatbot sold a car for one dollar, and his prediction that we'll soon see the first billion-dollar company run by 10 people as AI levels the playing field globally.

Want to experience secure AI deployment? Visit jozu.com and kitops.org to access the open source framework and enterprise platform making ML governance automatic.

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Two billion monthly users now interact with Google through conversational AI instead of traditional keyword searches. Soufi Esmaeilzadeh, Director of Product Management for Google Search, leads the team that transformed how humanity discovers information through AI Overviews and AI mode. In this episode of Lead with AI, Dr. Tamara Nall speaks with Soufi about the query fan out technique that breaks complex questions into subtopics and researches them simultaneously, mimicking how humans naturally reason through problems. Soufi shares how college students navigate career decisions through back-and-forth dialogue with AI mode, how parents plan family vacations by describing nuanced requirements in natural language, and how Search Live allows people to debug appliances simply by pointing their camera and asking questions. She reveals three innovation frontiers reshaping information discovery: agentic capabilities where AI books reservations on your behalf, multi-modal interfaces that understand video and audio inputs, and personalization that remembers your preferences without requiring repetition. For anyone curious about how search evolved beyond blue links and keywords into conversational assistance, Soufi explains what happens when two billion people shift from searching to having conversations.

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What started as morning text prompts to her mother became an AI platform preserving family memories before it's too late. In this episode of Lead with AI, host Dr. Tamara Nall interviews Kimberly Carson, former IBM Watson researcher and founder of Ancestral Echoes, and explains how sensory questions like "What did Sunday morning smell like in your childhood?" unlock stories that heal rather than just create nostalgia. A beta tester who lost her mother unexpectedly found voice memos that felt like letters her mom left behind without knowing. Carson reveals how AI organizes these memories into multi-modal capsules that preserve voice, tone, and cultural context, creating living archives for future generations. This isn't about recreating voices or faking memories. It's about making space for stories that matter while the people who lived them are still here to share.

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Most AI development tools hide what's happening under the hood. Scott Vance built the opposite. Convo Lang is a plain text framework that exposes every part of the AI interaction process, making context engineering precise and visible. In this episode of Lead with AI, host Dr. Tamara Nall speaks with Scott, a creator and developer from Cincinnati who spent nearly 20 years building software tools. Scott explains how Convo Lang started as a small library to eliminate repetition in his AI projects and evolved into a comprehensive framework for developing AI-native applications. He describes how every interaction with an LLM gets stored in local files you can review, helping developers understand how AI reached specific decisions. Scott shares how he used his new tool Convo Make to complete a week's worth of work in just a few hours, generating an entire application frontend and backend including security rules in one shot. He reveals his vision for language models that can interpret code written specifically for AI rather than forcing models to generate the same code humans have been writing for decades. For developers frustrated by tools that treat AI interactions like black boxes, Scott demonstrates what becomes possible when you expose the full context and make every message visible in plain text format you can read and organize.

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Most AI systems operate as applications on top of existing infrastructure. Nguyen Duc Tri is building intelligence into the infrastructure itself. At 21 years old, the Vietnam-based cybersecurity researcher created Adaptive OS, an operating system where AI exists at the foundation level with three distinct layers.

In this episode of Lead with AI, host Dr. Tamara Nall speaks with Nguyen about why he believes current operating systems like Windows, Linux, and Android need to evolve beyond static infrastructure into adaptive ecosystems that learn with humans, not above them. Nguyen explains how each model in Adaptive OS behaves like a neuron, forming a distributed intelligence system where every node learns contextually, remembers ethically, and evolves cooperatively. He shares his vision for infrastructure that can refuse unethical commands, self-heal exploits, and communicate with humans to make collaborative decisions. For anyone curious about the future of cybersecurity and ethical AI, Nguyen reveals what happens when operating systems gain consciousness at the infrastructure level and defense becomes evolution rather than reaction.

Want to explore Adaptive OS? Find documentation and code on Nguyen's GitHub, with links available on his LinkedIn profile. Follow Nguyen Duc Tri on LinkedIn for updates as the project evolves toward 2026 release.

For more insights on how AI is transforming business and society, subscribe to the Lead with AI podcast, where we explore the frontiers of artificial intelligence with the innovators who are shaping its development.

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LinkedIn: @nguyễnđứctrí | Reddit: AIC25 | Twitter/X: @NguyncT09972002  | GitHub: AdaptiveIntelligenceCircle  | Email: [email protected]

88% of moms handle all gift planning in their households, tracking birthdays, researching ideas, and managing delivery schedules across 10 to 20 occasions annually. Rose Arendarczyk experienced this firsthand as a consultant leading multimillion-dollar transformations while struggling to remember her brother's tournaments and her nephew's graduations. In this episode of Lead with AI, Dr. Tamara Nall speaks with Rose, founder and CEO of GiftEase, about building an AI platform that starts with understanding people instead of pushing products. Rose explains how GiftEase captures three dimensions: who you're gifting for and their unique preferences, your specific relationship with them, and how you want to show up as a giver. The platform remembers conversations, builds gift boards that evolve over time, and surfaces curated ideas before you're scrambling at the last minute. Rose shares early user stories, her vision for voice-enabled gift notes, and why focusing on relationships over transactions helps reduce the billions in unwanted gifts exchanged each holiday season.

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In this episode of Lead with AI, Dr. Tamara Nall explores how Sophie is building MYRRAR (My Realistic, Reliable Augmented Reality)—an AI-powered beauty advisor that scans your unique facial features and recommends products specifically for YOU, not some Euro centric beauty standard. The platform acts as your personalized bestie, complete with adjustable sassiness levels, offering relief to women who've spent years feeling inadequate because mainstream beauty culture never represented them. Sophie reveals the moment she realized how deep the problem runs when beta testers told her the word that captured their experience: "relief." From breaking generational curses of beauty insecurity to revolutionizing how women of color shop for makeup, MYRRAR promises a future where young girls don't grow up feeling uncomfortable in their own skin. For anyone who's ever left a makeup counter disappointed or scrolled through beauty tutorials knowing none of it would work for their face, this episode unveils how AI can finally make beauty truly personal and inclusive.

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LinkedIn: @Sophie-sin-yu-Auyeung

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What happens when four of six top restaurants don’t return your call for a private dining event? You take your $10,000 party elsewhere. In this episode of the Lead with AI podcast with Dr. Tamara Nall, Alex Sambvani, CEO of Slang AI, shares how he faced this problem firsthand while planning a birthday at some of New York’s finest restaurants. His journey from aspiring chef inspired by his grandmother’s soul food kitchen to Wall Street analyst and then Spotify data scientist led him to address the restaurant industry’s communication gaps. Slang AI now handles over 20 million calls across 49 states, ensuring restaurants never miss reservations, catering requests, or corporate bookings. Launching during COVID accelerated adoption as restaurants had to embrace technology or close. The platform manages policy questions, cross-sells sister restaurants when one location is full, and keeps calls answered without interruptions. For restaurant owners losing revenue and diners frustrated with unanswered calls, this episode explores how AI is improving operations across the $899 billion restaurant industry one call at a time.

For more insights into AI transforming hospitality and business, subscribe to the Lead with AI podcast, where we explore innovations with the leaders shaping the future of technology and artificial intelligence.

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