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AI agents in business aren't something that will happen in the future. They’re already here, and they're scaling a lot more rapidly than we expected. In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner talks to Matt Yanchyshyn, who leads AWS Marketplace at Amazon Web Services. Yanchyshyn's team helps organizations discover, buy, and deploy software on AWS, and one of the biggest shifts they’ve seen over the past six months is the explosion of AI agents in real-world use cases. When AWS unveiled its agent marketplace in mid-2025, the internal goal was initially to launch with 50 agents. By early 2026, that number had surged past 2,600 agents, making it the fastest-growing category in the history of the world’s largest cloud platform. So what’s driving that surge? Yanchyshyn breaks it down. In this conversation, we cover:+ Which types of AI agents are seeing the fastest enterprise adoption+ The industries and use cases leading the charge+ How companies are handling data security and sovereignty concerns+ The role of multi-model orchestration in agent effectiveness+ How AWS is using agents internally to drive lots of different wins If you're trying to understand where AI agents are actually being deployed — not the hype, but the reality — then this conversation will reset your expectations. It will help you see where agentic AI is already delivering business value, and where it’s heading next. Subscribe to The Deep View: Conversations in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe here on YouTube. And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview

AI could change the way we remember, and the way we pay attention.  In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner sits down with Bobak Tavangar, CEO of Brilliant Labs, one of the most intriguing startups in AI hardware today.  While trillion-dollar giants like Meta and Google race to define the future of AI glasses, Brilliant Labs is taking a radically different path: building in public, going open-source with both software and hardware, and centering their next product, the Halo glasses, around something deeply human.  The focus? A conversational AI agent for your long-term memories and conversations.  This isn’t just about smarter wearables. It’s about a bigger idea:  + Can AI help us be more present, not less? + Could technology support memory, reflection, and intention instead of distraction? + What does privacy look like when AI can recall your life?  Jason and Bobak also explore:  + What he learned during his time at Apple + Why AI hardware is one of the hardest frontiers in tech + The challenging process of finding a co-founder + Bobak’s philosophy on communicating on social media with purpose, not hype  Bobak is one of the most thoughtful founders in the AI space, consistently elevating the conversation beyond features and into questions of values, agency, and human experience.  If you care about where AI, wearables, memory, and attention intersect, this is a conversation you don’t want to miss.  Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI.  And don't miss The Deep View daily newsletter. We don’t just cover AI — we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/ 

How do you make AI inference affordable enough to deliver real ROI in the enterprise?  In this episode of The Deep View Conversations, we talk with Rob May, founder and CEO of Neurometric AI, to break down one of the most urgent challenges in AI today: the soaring cost of inference, and how to bring it down without sacrificing performance.  Today's AI is increasingly powerful, but it’s also expensive. For enterprises to see real returns, inference costs have to drop dramatically. Neurometric believes the answer lies in "thinking algorithms" paired with small, specialized models and workload-specific optimization. This approach can significantly reduce costs while often improving accuracy and efficiency. Rob walks through how this works in practice and why it matters as AI moves from experimentation to scaled deployment.  We also talk about:+ Why the current AI boom pulled Rob back into operating a startup after multiple exits and a move into investing + How founders should think about AI infrastructure, efficiency, and long-term economics + What startup leaders can do to get journalists to pay attention — and a pivotal early-career conversation that led to coverage which changed the trajectory of one of Rob’s companies  If you’re building, deploying, or investing in AI and wrestling with the economics of inference, this conversation offers a clear, practical perspective on what comes next.  Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview  Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI.  And don't miss The Deep View daily newsletter. We don’t just cover AI — we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/ 

In this episode of The Deep View Conversations, we sit down with Merrill Lutsky, cofounder and CEO of Graphite — a company using artificial intelligence to transform how engineers write, review, and ship code. What started as an internal tool to streamline software deployment has grown into something larger: a vision for how AI can augment, not replace, the craft of engineering — and reshape how teams collaborate at scale. Merrill walks us through Graphite’s early pivots, the development of its AI reviewer Diamond, and how the company is rethinking the bottleneck that stands between building and shipping code. We also go beyond the product to explore deeper questions:Will coding become fully automated?How do we balance speed and safety in an era of AI-written software?And what does craftsmanship mean when machines start to create?

In this episode of The Deep View Conversations, we sit down with Patrick Leung, CTO of Faro Health — a startup using artificial intelligence to streamline and reimagine clinical trials. What began as a push to speed up drug development turned into something bigger: a mission to reduce suffering, elevate consciousness, and reshape how we think about AI’s role in health and society. Patrick walks us through the challenges of clinical trial design, the limits of large language models, and how thoughtful AI implementation could unlock faster, safer, and more inclusive access to medicine. We also go beyond tech to explore deep questions: Is AI truly intelligent? How do we balance speed and safety? And are we building tools — or something closer to gods?

In this episode of The Deep View Conversations, we sit down with Russ d'Sa, founder and CEO of LiveKit — the open-source infrastructure powering voice mode for OpenAI, Character.AI, and a fast-emerging voice-first internet. Russ walks us through how a pandemic side project evolved into the nervous system for the next generation of AI-powered voice applications. But this episode goes far beyond infrastructure. We dive into big, human questions: What does it mean to interact naturally with AI? Are we moving back toward voice as the dominant interface? How will AI reshape work, leisure, and even our sense of identity? From the democratization of high-tech tools to the societal shifts driven by intelligent systems, this is a wide-ranging and deeply thoughtful conversation on what comes next in the age of synthetic intelligence.

Boost your CRM with Salesforce – tdv.co/sf In this episode of The Deep View Conversations, we explore the world of machine translation and artificial intelligence with Olga Beregovaya — Smartling’s VP of Machine Translation and Artificial Intelligence. Olga takes us through the evolution of machine translation, from rule-based systems to statistical models to today’s neural networks and large language models. She sheds light on how translation has shifted from being a purely linguistic endeavor to one that now sits at the intersection of data science, AI, and human creativity. We dive into hallucinations, under-resourced languages, the rise of synthetic data, and what it truly means to maintain quality in a multilingual world. If you've ever wondered what makes AI translation tick — and where it's going — this is the episode for you. Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this episode of The Deep View Conversations, we dive into the chaotic world of social media, misinformation, and the growing need for scientific credibility with Brinleigh Murphy Reuter — founder of the Harvard-incubated nonprofit, Science to People. Brinleigh unpacks why it’s become so hard to find accurate health and science information online, and how her organization is using generative AI to fix the broken flow of facts between researchers, influencers, and everyday users. We explore everything from the overwhelming noise of algorithm-driven content and the dangers of viral misinformation, to how AI can empower creators with reliable, vetted science. If you’re curious about how tech, trust, and truth collide in the age of TikTok and ChatGPT, this is an episode you won’t want to miss. Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this episode of The Deep View Conversations, we dive into the complex intersection of artificial intelligence and healthcare with Pelu Tran, co-founder and CEO of Ferrum Health. Pelu shares his deeply personal motivation behind founding Ferrum, why AI adoption in healthcare is slow, and how Ferrum aims to solve the “last mile” problem of bringing AI into clinical practice. We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen. Outline:  00:00 – Intro: AI and healthcare — promise vs. reality01:00 – Meet Pelu Tran, CEO of Ferrum Health03:10 – A personal tragedy leads to a mission: Ferrum’s origin07:00 – The real reason AI adoption is slow in hospitals10:00 – Infrastructure, security & why hospitals still use fax machines13:30 – What Ferrum Health actually does16:10 – Why FDA clearance isn’t enough for AI trust19:00 – Ferrum’s approach: Validating models with AI itself22:30 – AI performance drift & automated monitoring25:00 – Diagnostic tools, LLMs, and AI's current limitations28:40 – The illusion of language fluency and AI “hallucinations”31:00 – Burnout, administrative burden & where AI helps34:30 – Will AI speed things up or make hospitals worse?38:00 – Hospital incentives & risks of productivity pressure41:10 – AI replacing admin, not doctors (yet)44:10 – Communicating AI performance to clinicians47:30 – Measuring outcomes, not just accuracy50:00 – Trust, governance, and safe deployment53:15 – Why flexibility is key for AI in healthcare56:00 – The future: Safe disruption vs. blind disruption59:00 – Will AI replace doctors? Why not anytime soon1:01:00 – Final thoughts: AI’s promise and pitfalls  Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this gripping episode, we dive into the life-saving mission behind ZeroEyes, a pioneering company using artificial intelligence to detect visible weapons before shots are fired. The Deep View Team sits down with co-founder and Chief Revenue Officer Sam Alaimo, a former Navy SEAL, to explore how a tragic school shooting and military discipline inspired a groundbreaking solution to one of America’s most pressing issues: gun violence.

I sat down with Dr. Aaron Andalman, the Chief Science Officer and co-founder of Cognitiv. Andalman holds a PhD in neuroscience, and so today, we’re breaking down the gaps, connections and inspirations between AI and neuroscience; all the things we’ve learned and the many things we still don’t know.  Episode links:  The giant squid: https://medium.com/the-quantastic-journal/from-squids-to-ai-how-neuroscience-and-physics-sparked-a-technological-revolution-06d8c291717cNeuroscience and AI: https://neuroscience.stanford.edu/news/neuroscience-and-ai-what-artificial-intelligence-teaches-us-about-brain-and-vice-versaThe specter of AGI: https://www.thedeepview.co/p/how-big-tech-is-using-the-ai-race-and-the-specter-of-agi-to-cement-its-power-agi-openai-googleScale it up: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancementsAnimal intelligence: https://www.discovermagazine.com/planet-earth/how-intelligence-is-measured-in-the-animal-kingdomOutline 0:00 – Intro 1:45 – The roots of AI 7:12 – The different types of intelligence 12:05 – Neural networks VS artificial neural networks 19:19 – Efficiency in intelligence 23:51 – Why pursue AGI at all? 28:44 – Reinforcement learning in machines VS animals 35:25 – Advancements in one, advancements in the other 43:46 – Being curious in the age of AI  Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Brad Zamft, the co-founder and CEO of Heritable Agriculture, to take a deep dive into all the science (both biology and computer science) behind the effort to program plants, why it’s needed and what impacts it might have.  Episode links:  Heritable Agriculture: https://heritable.ag/Heritable goes after indoor strawberries: https://heritable.ag/heritable-strawberries The sustainability threat of farming: https://vlsci.com/blog/top-issues-in-agriculture-2024/ ; https://www.epa.gov/climateimpacts/climate-change-impacts-agriculture-and-food-supplyThe risks of monoculture and monocropping: https://foodrevolution.org/blog/monocropping-monoculture/The promise of regenerative agriculture: https://theclimatecenter.org/our-work/research/report-the-promise-of-regenerative-agriculture/Farming resiliency in the face of climate change: https://sustainability.mit.edu/article/making-agriculture-more-resilient-climate-change Outline 0:00 – Intro 2:18 – Brad’s journey to Heritable Agriculture 9:29 – Why we need programmable plants 14:23 – Challenges of biology 19:38 – Validating the models 22:14 – How does this all physically work?  31:05 – The challenge of adjusting 2 billion years of evolutionary success 34:48 – The risks of AI cracking plant DNA 39:50 – Regenerative Agriculture and tuning for resiliency in the face of climate change 47:53 – How farmers view the approach 51:59 – Tree adjustments 56:28 – The future outlook Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Nada Sanders, a distinguished professor of supply chain management at Northeastern University, to better understand the impact that tariffs and a trade war could have on the business and field of AI.  Episode Links:  The semiconductor pipeline: https://datacenterpost.com/ais-hardware-hunger-the-global-semiconductor-supply-chain-under-pressure/The latest on the tariffs and trade war: https://www.bbc.com/news/articles/c62z54gwd22oNvidia’s US push: https://www.thedeepview.co/p/nvidia-to-produce-500-billion-worth-of-supercomputers-in-the-u-s-for-the-first-timeApple’s US push: https://www.apple.com/newsroom/2025/02/apple-will-spend-more-than-500-billion-usd-in-the-us-over-the-next-four-years/Outline: 0:00 – Intro 4:09 – The vulnerability of the AI supply chain19:13 – Is it realistic to bring production back to the US? 27:31 – Innovation could plateau 34:04 – The challenge of navigating uncertainty, even if the tariffs come off Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Eric Sydell, the founder and CEO of Vero AI, to break down the challenges of oversight, governance and compliance — and the techno-utopia on the horizon — and the ways in which AI can help, hurt, and generally, disrupt everything.  Episode links:  Ethan Molick: https://www.linkedin.com/posts/emollick_if-ai-development-stopped-this-week-we-would-activity-7272747981752176640-nTKX/What even is AI: https://www.ibm.com/think/topics/artificial-intelligenceSam Altman says we must regulate AI: https://www.thedeepview.co/p/paris-ai-summit-the-smoke-and-mirrors-of-governanceEU AI Act: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligenceChallenge of AI regulation: https://www.thedeepview.co/p/report-the-misguided-race-to-regulationNurses and AI: https://www.thedeepview.co/p/current-harms-and-the-real-world-impacts-of-algorithmic-decision-makingPreslav Nakov fact-checking LLMs: https://aclanthology.org/2024.findings-acl.558/Outline 0:00 – Intro 2:28 – AI for compliance4:43 – Overcoming reliability problems 10:16 – Toys VS tools15:54 – Keeping up with the rate of ‘progress’ 22:03 – The challenge of regulation:  28:55 – Balancing AI with the bottom line 34:38 – The problem with ‘Abundance’ 43:11 – How to get the good without all the bad 51:17 – Running to and running from technology 55:02 – Looking for optimism Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Stefan Leichenauer, SandboxAQ's VP of Engineering, to break down the ways in which he’s bringing the two technologies together.  Check out our breakdown of quantum computing: https://youtu.be/-umrjwGFTRw Episode links:  Quantum sensing: https://www.baesystems.com/en-us/definition/what-is-quantum-sensingSandbox LQMs: https://www.sandboxaq.com/Quantum computers: https://www.ibm.com/think/topics/quantum-computingSandbox drug discovery: https://www.sandboxaq.com/solutions/aqbiosimSandbox materials generation: https://www.sandboxaq.com/post/building-better-batteries-with-lqms Outline 0:00 – Intro 1:36 – How does Sandbox leverage Quantum? 4:35 – What makes a sensor a Quantum sensor? 8:00 – What would a Quantum computer need to do to be ready for use?  11:30 – What reliable Quantum computers mean for Sandbox and AI 15:18 – Sandbox’s Large Quantitative Models  27:52 – Specialist systems VS generalist systems35:41 – Black Boxes and LQMS  37:45 – LQMs and hallucination41:50 – LQMs and drug discovery50:00 – The cost associated with LQMs 53:37 – LQMs and materials generation56:55 – Future outlook   Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe) Connect with us on X, TikTok and Instagram.   Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.