
The Deep View: Conversations
From frontier labs and enterprise platforms to emerging startups reshaping entire industries, The Deep View: Conversations podcast interviews the brightest minds and the most influential leaders in AI.
Insights from recent episode analysis
On the show
- Sabrina Ortiz2 eps
- Pat Brown1 ep
- Dave Horton1 ep
Also: Jeetu Patel, James Everingham, Baris Gultekin, Stefan Weitz, Olivia Moore, Tigran Sloyan, Wasim Khaled, Shibani Ahuja, Alex Rinke, Logan Kilpatrick, Ian Silber, Juston Payne, Robert Brooks IV, Mindy Brooks, Dr. Olena Zhu, Ahmad Al-Dahle, Priya Srinivasan
Audience Interest
Podcast Focus
Publishing Consistency
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Based on 1 signal.
Built from
By chart position
- 🇺🇸United States · TechnologyHOME#1824.0K to 21K
- 🇬🇧United Kingdom · Technology#131650 to 3.4K
- 🇸🇬SG · Technology#12839 to 206
- 🇭🇰HK · Technology#17618 to 93
- Per-Episode Audience
Est. listeners per new episode within ~30 days
4.7K to 25K🎙 Daily cadence·63 episodes·Last published 5d ago - Monthly Reach
Unique listeners across all episodes (30 days)
16K to 83K🇺🇸85%🇬🇧14%🇸🇬1% - Active Followers
Loyal subscribers who consistently listen
8.6K to 46K
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 10/18/26 | 6 timeless attributes for succeeding in the AI era | AI is making it easier for employees to work beyond their specialties and that has big implications for the future organizations of all sizes. In this episode of The Deep View Conversations, we sit down with Bill Barton, chief operating officer at Rokt and the former leader of the Alexa team at Amazon. Rokt has gotten called out by some of the biggest tech companies in the world for its innovative use of AI inside the company. In fact, several of them have had Rokt come and talk to their teams about how they do it. So we wanted to have Bill on the show to share those insights with a larger audience.Barton shares how Rokt is using an internal AI fleet across software development, finance, legal, security and other functions. He explains how AI is helping blur the boundaries between roles, why the company has moved from more than a dozen job ladders to four, and what it takes to turn experimentation into everyday practice.Other topics covered include:• Why Bill returned to Rokt after trying retirement• How AI is expanding the reach of generalists• Enabling shared AI experimentation companywide• Why fewer, more flexible systems can help teams move faster• How Barton thinks about productivity gains and hiring• What Google search reveals about frictionless AI• Why more powerful tools can make it harder to step away from workBill also shares his six timeless attributes that can help anyone succeed in the AI era: relentlessness, resilience, rigorousness, inquisitiveness, optimism and humility.For leaders rethinking their teams and professionals navigating changing roles, this conversation connects the possibilities of AI with the habits and judgment needed to make them useful.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://tdv.transistor.fm/ 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 39m 46s | ||||||
| 10/9/26 | How open models change the economics of AI | Companies want to own the intelligence that makes their business valuable. So what will that mean for the AI models they use, and the systems they build around them?In this episode of The Deep View Conversations, we sit down with Justin Boitano, VP of enterprise AI at Nvidia, to explore why NVIDIA is investing in open models and how enterprises are turning them into specialized intelligence. Boitano talks about why NVIDIA makes Nemotron's datasets, training techniques and model weights openly available, how proprietary business knowledge can become a competitive advantage, and why lower token costs can unlock much greater demand for AI.The conversation also examines why the agent harness that manages tools, memory and execution can matter as much as the model itself. Boitano shares how Nvidia worked with CrowdStrike on AI models for cybersecurity, why AI incidents need the equivalent of an aviation flight recorder, and how OpenShell moves agent controls into the infrastructure layer.Other topics covered:• Why NVIDIA is building open models alongside its chip business• What Nemotron needs to compete with China's open models• Owning institutional knowledge, protecting data and controlling AI costs• How model development helps NVIDIA improve hardware efficiency• Why harness engineering is becoming a new frontier for AI• Moving cybersecurity from finding bugs to verifying and fixing them• Transparency and learning from AI incidents• OpenShell, sandboxing and enforceable limits on agent access• How Justin uses Hermes as an AI chief of staff• Jensen Huang's approach to priorities and team alignmentIf you're deciding how to build enterprise AI, where your company's competitive advantage comes from, or how to give agents useful access without giving them unlimited control, this conversation offers a perspective from Nvidia's work across the ecosystem.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://tdv.transistor.fm/ 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 26m 57s | ||||||
| 10/4/26 | Who will police the AI agents? | AI agents can act faster than humans can review them. So how do companies keep control without slowing everything down?In this episode of The Deep View Conversations, Jason Hiner sits down with Blake Brannon, chief innovation officer and a co-founder of OneTrust, to explore why AI governance needs to evolve from static rules to decisions made in real time.Brannon explains why an agent can inherit an employee's identity and access without inheriting their trust. He makes the case for independent guardian agents that evaluate what other agents are trying to do, apply a company's policies, and redirect or block actions when necessary.One example captures the challenge: deleting CRM records could be routine cleanup or an attempt to inflate a salesperson's performance. The action alone doesn't tell you whether it should be allowed. Its purpose matters.Topics covered:• How OneTrust evolved from data privacy to AI governance• Why first-party data and customer trust go together• Why human review can't keep pace with a growing population of agents• How guardian agents and independent checks could help close the trust gap• The difference between containing AI and aligning it with business policies• Why governance should help companies move faster• What the bring-your-own-device era teaches us about AI adoption• How Blake uses visual storytelling and voice-to-text tools to work more effectivelyIf you're deploying AI agents and trying to move beyond experiments without giving up control, this conversation offers a practical way to think about the systems that need to surround them.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 45m 47s | ||||||
| 9/30/26 | How AI changes cybersecurity's balance of power | AI is accelerating cyberattacks. Could it also give defenders the upper hand?In this episode of The Deep View Conversations, we sat down with Adam Meyers, CrowdStrike's head of counter adversary operations, at Fal.Con 2026 to explore how AI is changing the balance of power between attackers and defenders. Meyers explains why he believes security teams can now match the speed and scale of their adversaries, how CrowdStrike is training offensive and defensive AI models against each other, and why the harness that guides an AI model can matter just as much as the model itself. He shares how changing that harness helped CrowdStrike reduce false positives in its vulnerability research without changing the underlying model, and how cyberdefenders are uniting to assist one another.The conversation also goes inside the live disruption of the Sality botnet, explores how nation-state attackers are using agents that learn from their mistakes in seconds, and examines why powerful AI systems need clear boundaries as they pursue their goals.Topics covered:• Why AI could change the defender's dilemma• How CrowdStrike and its partners disrupted a botnet that had operated for more than two decades• Training red team and blue team models based on Nvidia's Nemotron models and CrowdStrike's security data• Why AI harnesses are critical to reducing hallucinations and false positives• How AI attacks are compressing the time organizations have to patch vulnerabilities• What the Hugging Face incident raises about goal-seeking agents and guardrails• Why local, open-weight models matter to both attackers and defendersIf you're trying to understand what AI means for cybersecurity, how to put agents to work safely, or where specialized models can make a difference, this conversation offers a view from someone tracking the adversaries firsthand.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm Get The Deep View daily newsletter for clear analysis of AI's biggest developments and practical insights you can put to good use: subscribe.thedeepview.com | 24m 41s | ||||||
| 9/27/26 | Why your phone still isn't the ultimate AI assistant | Nearly every smartphone launched in the past year features agentic AI capabilities, offering users an early look at what a fully agentic smartphone future could do for them. Of course, the tech powering it is driven by the chipsets.In this episode of The Deep View Conversations, we talked with Vinesh Sukumar, Qualcomm's VP of AI at the Snapdragon Summit, the company's annual conference where it launches its latest processors. This year, the launch included the mobile platforms Snapdragon 8 Elite Extreme Gen 6 for phones and Snapdragon Sound Elite Gen 2 for wearables.Vinesh discussed how the chipsets came to be, including the special considerations made during their design such as improving connectivity, on-device support for large models, longer battery life, and other features crucial to smoothly running agentic AI applications. We also discussed what the future of a truly agentic AI phone looks like and what's been holding it back.Topics covered:• What an ideal agentic smartphone experience would look like • The demands agentic AI models make of mobile chipsets• The obstacles to agentic solutions becoming a game changer • The crawl, run, walk phases of agentic solutions, and where we are now• The role of other smart devices in creating agentic experiences • How support for a 30 billion MoE on-device model was made possible • Qualcomm's role in working with partners to bring AI experiences to lifeIf you want to learn more about how the latest chipsets will change the future of Android flagship devices in the next year, including new AI experiences, this conversation will give you a clear idea.📺 Watch on YouTube: https://youtu.be/YXvw9Gw41Xg 🎧 Listen in your favorite podcast player: Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.comDisclaimer: Sabrina Ortiz's travel to Snapdragon Summit was paid for by Qualcomm. The Deep View's coverage is editorially independent from the companies we cover. | 28m 40s | ||||||
| 9/24/26 | AI safety needs more than good intentions | Can AI move fast and still be safe? As the debate over AI safety and innovation grows more polarized, we explore the practical work of making powerful systems accountable.In this episode of The Deep View Conversations, we sit down with Navina Singh, CEO of Credo AI, to talk about what AI governance means for frontier labs, enterprises, and policymakers. They explore why governance is broader than regulation, how organizations can test and verify their AI systems, and what happens when capabilities advance faster than oversight.Topics covered:• Why Navrina sees AI safety and innovation as goals that can advance together• What the Hugging Face agent incident raises about frontier AI oversight• The “spectrum of trust,” from internal testing to independent audits and regulation• The risk of regulatory capture and the role of open models• How businesses weigh AI capability, cost, and control while managing "governance debt"• How Credo AI uses forward-deployed governance experts to help companies put oversight into practice• Why expertise, taste, and judgment remain valuable as AI takes on more workIf you’re building, buying, or governing AI, this conversation offers a practical way to think about trust without losing sight of the technology’s promise.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 54m 42s | ||||||
| 9/20/26 | Who will be the adult in the room on AI? | What does it take for companies to use agentic AI to transform the enterprise, without losing control of the technology?In this episode of The Deep View Conversations, we sit down with Shibani Ahuja, SVP of data and AI strategy at Salesforce, to discuss how one of the world's leading software companies is applying AI with practical use cases, matching governance to risk, and building toward larger transformations ahead. Salesforce has surprisingly embraced a "headless" AI strategy that lets customers use any AI to access their Salesforce data safely and securely. That includes its own Slackbot, which sits inside one of the world's most widely used business messaging systems. In this interview, we learn more about why Salesforce wants to give customers optionality.Shibani also lays out Salesforce’s four modes of enterprise AI, from everyday assistive tools to agents that can reshape end-to-end operations. We also discuss Koa, Salesforce’s new CRM reasoning model, why the model-plus-harness approach is so critical, and why adaptability may be the defining enterprise skill of the AI era.Topics covered:• Why organizations should start with practical, level-one AI use cases• How Salesforce matches governance and ROI expectations to the risk of an AI deployment• What Koa, Salesforce's AI model built on NVIDIA Nemotron, changes for enterprise AI• Why operating models, process expertise, and professional services matter as much as the latest technology• Shibani's case for AQ: the adaptability quotient for technology stacks and teamsIf you’re trying to make AI more efficient, safer, and more ROI-driven, this conversation offers a practical framework for how to build it, how to govern it, and where to start.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 24m 57s | ||||||
| 9/11/26 | Why iPhone Duo could change how we use AI | Apple's first foldable iPhone makes the case that a bigger screen is better for nearly everything in the AI era. Its new Apple Watch features raise a harder question: how much of our conversations should AI remember?In this special episode of The Deep View Conversations, we record from Apple's campus in California following its September 2026 event to unpack the iPhone Duo, the new Audio Intelligence features in Apple Watch, and what Apple's latest devices mean for AI.We share our first hands-on impressions of the Duo, explain why foldables are becoming more useful for AI agents and multitasking, and examine the price and hardware compromises that come with Apple's new form factor. We also debate Live Rewind and Siri Recap, two new Apple Watch features coming in beta later this year. We disagree on which feature we would feel more comfortable using, opening up a broader discussion about privacy, trust, and staying present.The conversation also covers:• How the iPhone Duo compares with foldables from Google and Samsung• Why Apple's software experience is the Duo's biggest advantage• Camera, battery, durability, and Touch ID tradeoffs• Whether foldables will eventually become the default iPhone• Siri AI, iOS 27, and Apple's approach to other smart features without AI washing• The social questions surrounding AI-generated conversation summaries• The iPhone 18 Pro's camera upgrades and Apple's computational photography• Apple silicon, the A20 Pro, and the possibilities of running AI models locally on a phoneIf you're following the future of AI in phones and wearables, this conversation connects Apple's announcements to the ways people will actually use them, along with the questions that still need answers.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm 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 to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com | 45m 22s | ||||||
| 9/6/26 | AI developmentagent capabilities+4 | Tara SeshanTy Geri | ChatGPT WorkChatGPT+2 | — | AIOpenAI+6 | — | 51m 48s | ||
| 9/3/26 | AI developmententerprise AI+4 | Florian Douetteau | Dataiku | — | AIsoftware development+6 | — | 43m 26s | ||
| 8/30/26 | AI infrastructurerack-scale systems+5 | Andrew Dieckmann | HeliosVera Rubin+3 | — | AIAMD+8 | — | 27m 28s | ||
| 8/28/26 | AIopen models+4 | Jeff Morgan | OllamaDocker Desktop+6 | USEurope | open modelsAI economics+7 | — | 55m 45s | ||
| 8/23/26 | foldable phonesAI features+5 | Sabrina Ortiz | Pixel 11 Pro FoldZ Fold 8+7 | — | foldable phonesAI+7 | — | 1h 32m 42s | ||
| 8/16/26 | AI bubbleenterprise contracts+4 | Nat Rubio-Licht | AnthropicAI labs+6 | — | AI bubbleenterprise contracts+7 | — | 26m 39s | ||
| 8/13/26 | AI agentsAndroid transformation+5 | Sameer Samat | AndroidGoogle Keyboard+3 | — | AIAndroid+8 | — | 55m 23s | ||
| 8/9/26 | AI architecturelarge language models+4 | Zuzanna Stamirowska | Dragon HatchlingPathway | — | AIlarge language models+6 | — | 56m 43s | ||
| 8/3/26 | AItechnology+4 | Mark Papermaster | AMD | — | AIlocal AI+5 | — | 23m 06s | ||
| 7/27/26 | AI uncertainty modelinghallucinations in AI+5 | Ruchir Puri | IBM Research | — | AIuncertainty+6 | — | 28m 27s | ||
| 7/12/26 | digital sovereigntyAI governance+4 | Priya Srinivasan | IBM | — | sovereign AIAI agents+5 | — | 40m 32s | ||
| 7/5/26 | AGImultimodal systems+5 | Caroline Ingeborn | LumaThe Deep View | — | AGImultimodal+5 | — | 29m 24s | ||
| 6/28/26 | AI in scientific researchdemocratization of science+4 | Yossi Matias | Gemini for ScienceAI Co-Scientist+5 | — | AIscientific discovery+6 | — | 10m 08s | ||
| 6/17/26 | augmented realitytechnology+5 | Evan Spiegel | SPECSAI glasses+4 | smartphones | SnapSPECS+6 | — | 14m 58s | ||
| 6/14/26 | AI agentsdigital coworkers+4 | Dmitry Shevelenko | Perplexity | — | AIPerplexity+6 | — | 57m 51s | ||
| 6/12/26 | Apple AI announcementsSiri updates+4 | Sabrina Ortiz | SiriApple Intelligence+11 | — | AppleSiri+7 | — | 1h 00m 19s | ||
| 6/6/26 | AIAGI+5 | Ahmad Al-Dahle | AppleMeta+1 | — | AIAGI+6 | — | 43m 31s | ||
| 6/3/26 | AI toolsdeveloper community+4 | Logan Kilpatrick | Gemini 3.5 FlashAI Studio+6 | — | AI boomdeveloper tools+5 | — | 36m 46s | ||
| 5/31/26 | AI designproduct design+5 | Ian Silber | ChatGPTCodex+2 | — | ChatGPTAI design+6 | — | 33m 46s | ||
| 5/25/26 | AI smart glassesGoogle I/O+5 | Juston Payne | GoogleSamsung+2 | — | AI glassessmart glasses+6 | — | 28m 42s | ||
| 5/24/26 | AI infrastructurecompute crisis+5 | Robert Brooks IV | Lambda | — | AIcompute+8 | — | 37m 17s | ||
| 5/12/26 | Android AI updateGemini Intelligence+4 | Mindy Brooks | Gemini IntelligenceGboard+5 | — | AndroidAI update+5 | — | 22m 43s | ||
| 5/11/26 | AIcloud computing+5 | Dr. Olena Zhu | Intel | — | AI systemscloud-only AI+5 | — | 31m 50s | ||
| 5/4/26 | process intelligenceenterprise AI+3 | Alex Rinke | CelonisThe Deep View | Munich | AIprocess intelligence+5 | — | 45m 48s | ||
| 4/27/26 | AI in marketingaudience measurement+4 | Pat Brown | Adobe | — | AImarketing+5 | — | 21m 59s | ||
| 4/19/26 | enterprise AIAI agents+5 | Dave Horton | AiriaOpenClaw | LondonUK+1 | enterprise AIAI agents+6 | — | 41m 40s | ||
| 4/15/26 | AI agentscybersecurity+4 | Jeetu Patel | CiscoBox | — | AI agentscybersecurity+5 | — | 52m 15s | ||
| 4/9/26 | AI agentsenterprise AI+4 | James Everingham | Guild AINetscape+1 | — | AI agentsGuild AI+5 | — | 48m 31s | ||
| 3/30/26 | AI strategydata strategy+4 | Baris Gultekin | Project SnowWorkCortex Code (CoCo)+3 | — | SnowflakeAI+5 | — | 32m 23s | ||
| 3/21/26 | AI in the workplaceleadership+4 | Stefan Weitz | HumanX | — | AI10x employees+5 | — | 53m 33s | ||
| 3/9/26 | consumer AI appsAI trends+3 | Olivia Moore | OpenClawAndreessen Horowitz+2 | — | AI appsconsumer technology+3 | — | 53m 39s | ||
| 3/1/26 | AI in hiringskills assessment+4 | Tigran Sloyan | CodeSignal | — | AIhiring+8 | — | 52m 58s | ||
| 2/22/26 | cybersecuritydisinformation+4 | Wasim Khaled | Blackbird AIGartner | — | narrative attacksdeepfakes+4 | — | 44m 44s | ||
| 2/15/26 | AI adoptionC-suite leaders+4 | Shibani Ahuja | SalesforceSalesforce’s Agentic Maturity Model+1 | — | AIC-suite+6 | — | 47m 36s | ||
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Chart history for The Deep View: Conversations
Peaked at #128 in SG, currently #128 in SG.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| SG | — | #128 | #128 | — |
| United Kingdom | — | #131 | #131 | — |
| HK | — | #176 | #176 | — |
| United States | — | #182 | #182 | — |
Chart Positions
4 placements across 4 markets.
Chart Positions
4 placements across 4 markets.