Podcasts about agentic

According to the platform economist Sangeet Paul Choudary, author of Reshuffle, today's AI hype is a feature rather than a bug in Silicon Valley. It's a deliberate mechanism to attract capital in an “attention-poor, capital-heavy economy” while distracting from the lack of short-term business results. So who will ultimately win and who will lose in today's AI arms race? While Choudary predicts power will concentrate around infrastructure players like Nvidia and enterprise workflow companies like Microsoft and Google, he warns that OpenAI risks becoming “the Cisco of this revolution” unless it moves beyond the commoditizing model layer. More troubling, for Choudary, is AI's societal impact. We cannot trust Big Tech with our “agentic future,” he cautions—particularly as technologies like OpenAI's Pulse preview eliminate the last vestige of user agency that we still possess. While pessimistic about US and Chinese models built on data hoarding and state-backed monopolies, the Dubai-based Choudary sees promise in India's stack experiment, where digital public infrastructure allows users to own their data and get paid when AI trains on it.1. The Algorithm Creates a New Class Divide The critical inequality today isn't traditional capital vs. labor—it's between those who work “above the algorithm” (designing systems, like Uber data scientists) and those working “below it” (controlled by systems, like Uber drivers whose rates and job access are algorithmically determined).2. AI Hype is a Feature, Not a Bug In an attention-poor, capital-heavy economy, hype serves as a mechanism to attract investment. Companies selling distant AGI narratives and engaging in circular deals (OpenAI-Nvidia-Microsoft-Oracle) are propping up valuations while actual business results remain uncertain. A market correction is “long overdue.”3. Power Will Concentrate at Two Layers of the AI Stack Winners will emerge at the infrastructure level (Nvidia for chips/inference) and the customer workflow level (likely Google or Microsoft with their enterprise relationships). The middle layer—the model itself—is already commoditizing. OpenAI risks becoming “the Cisco of this revolution” unless it successfully moves up to the workflow layer.4. We Can't Trust Big Tech with Our “Agentic Future” Today we still have agency to click, even if our attention is manipulated. But as AI agents make decisions for us (like OpenAI's Pulse preview), we surrender that agency entirely, enabling even more extraction. Current business models are built on data hoarding—adding agent technology on top eliminates user agency completely.5. Four Distinct Geopolitical AI Models Are Emerging The US favors private enterprise (increasingly intertwined with government), China lets innovation happen then absorbs it into state control, India is building digital public infrastructure where users own their data and get paid for AI training, and UAE is converting oil reserves into compute power to sell AI services globally.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

AI Assisted Coding: From Deterministic to AI-Driven—The New Paradigm of Software Development, With Markus Hjort In this BONUS episode, we dive deep into the emerging world of AI-assisted coding with Markus Hjort, CTO of Bitmagic. Markus shares his hands-on experience with what's being called "vibe coding" - a paradigm shift where developers work more like technical product owners, guiding AI agents to produce code while focusing on architecture, design patterns, and overall system quality. This conversation explores not just the tools, but the fundamental changes in how we approach software engineering as a team sport. Defining Vibecoding: More Than Just Autocomplete "I'm specifying the features by prompting, using different kinds of agentic tools. And the agent is producing the code. I will check how it works and glance at the code, but I'm a really technical product owner." Vibecoding represents a spectrum of AI-assisted development approaches. Markus positions himself between pure "vibecoding" (where developers don't look at code at all) and traditional coding. He produces about 90% of his code using AI tools, but maintains technical oversight by reviewing architectural patterns and design decisions. The key difference from traditional autocomplete tools is the shift from deterministic programming languages to non-deterministic natural language prompting, which requires an entirely different way of thinking about software development. The Paradigm Shift: When AI Changed Everything "It's a different paradigm! Looking back, it started with autocomplete where Copilot could implement simple functions. But the real change came with agentic coding tools like Cursor and Claude Code." Markus traces his journey through three distinct phases. First came GitHub Copilot's autocomplete features for simple functions - helpful but limited. Next, ChatGPT enabled discussing architectural problems and getting code suggestions for unfamiliar technologies. The breakthrough arrived with agentic tools like Cursor and Claude Code that can autonomously implement entire features. This progression mirrors the historical shift from assembly to high-level languages, but with a crucial difference: the move from deterministic to non-deterministic communication with machines. Where Vibecoding Works Best: Knowing Your Risks "I move between different levels as I go through different tasks. In areas like CSS styling where I'm not very professional, I trust the AI more. But in core architecture where quality matters most, I look more thoroughly." Vibecoding effectiveness varies dramatically by context. Markus applies different levels of scrutiny based on his expertise and the criticality of the code. For frontend work and styling where he has less expertise, he relies more heavily on AI output and visual verification. For backend architecture and core system components, he maintains closer oversight. This risk-aware approach is essential for startup environments where developers must wear multiple hats. The beauty of this flexibility is that AI enables developers to contribute meaningfully across domains while maintaining appropriate caution in critical areas. Teaching Your Tools: Making AI-Assisted Coding Work "You first teach your tool to do the things you value. Setting system prompts with information about patterns you want, testing approaches you prefer, and integration methods you use." Success with AI-assisted coding requires intentional configuration and practice. Key strategies include: System prompts: Configure tools with your preferred patterns, testing approaches, and architectural decisions Context management: Watch context length carefully; when the AI starts making mistakes, reset the conversation Checkpoint discipline: Commit working code frequently to Git - at least every 30 minutes, ideally after every small working feature Dual AI strategy: Use ChatGPT or Claude for architectural discussions, then bring those ideas to coding tools for implementation Iteration limits: Stop and reassess after roughly 5 failed iterations rather than letting AI continue indefinitely Small steps: Split features into minimal increments and commit each piece separately In this segment we refer to the episode with Alan Cyment on AI Assisted Coding, and the Pachinko coding anti-pattern.  Team Dynamics: Bigger Chunks and Faster Coordination "The speed changes a lot of things. If everything goes well, you can produce so much more stuff. So you have to have bigger tasks. Coordination changes - we need bigger chunks because of how much faster coding is." AI-assisted coding fundamentally reshapes team workflows. The dramatic increase in coding speed means developers need larger, more substantial tasks to maintain flow and maximize productivity. Traditional approaches of splitting stories into tiny tasks become counterproductive when implementation speed increases 5-10x. This shift impacts planning, requiring teams to think in terms of complete features rather than granular technical tasks. The coordination challenge becomes managing handoffs and integration points when individuals can ship significant functionality in hours rather than days. The Non-Deterministic Challenge: A New Grammar "When you're moving from low-level language to higher-level language, they are still deterministic. But now with LLMs, it's not deterministic. This changes how we have to think about coding completely." The shift to natural language prompting introduces fundamental uncertainty absent from traditional programming. Unlike the progression from assembly to C to Python - all deterministic - working with LLMs means accepting probabilistic outputs. This requires developers to adopt new mental models: thinking in terms of guidance rather than precise instructions, maintaining checkpoints for rollback, and developing intuition for when AI is "hallucinating" versus producing valid solutions. Some developers struggle with this loss of control, while others find liberation in focusing on what to build rather than how to build it. Code Reviews and Testing: What Changes? "With AI, I spend more time on the actual product doing exploratory testing. The AI is doing the coding, so I can focus on whether it works as intended rather than syntax and patterns." Traditional code review loses relevance when AI generates syntactically correct, pattern-compliant code. The focus shifts to testing actual functionality and user experience. Markus emphasizes: Manual exploratory testing becomes more important as developers can't rely on having written and understood every line Test discipline is critical - AI can write tests that always pass (assert true), so verification is essential Test-first approach helps ensure tests actually verify behavior rather than just existing Periodic test validation: Randomly modify test outputs to verify they fail when they should Loosening review processes to avoid bottlenecks when code generation accelerates dramatically Anti-Patterns and Pitfalls to Avoid Several common mistakes emerge when developers start with AI-assisted coding: Continuing too long: When AI makes 5+ iterations without progress, stop and reset rather than letting it spiral Skipping commits: Without frequent Git checkpoints, recovery from AI mistakes becomes extremely difficult Over-reliance without verification: Trusting AI-generated tests without confirming they actually test something meaningful Ignoring context limits: Continuing to add context until the AI becomes confused and produces poor results Maintaining traditional task sizes: Splitting work too granularly when AI enables completing larger chunks Forgetting exploration: Reading about tools rather than experimenting hands-on with your own projects The Future: Autonomous Agents and Automatic Testing "I hope that these LLMs will become larger context windows and smarter. Tools like Replit are pushing boundaries - they can potentially do automatic testing and verification for you." Markus sees rapid evolution toward more autonomous development agents. Current trends include: Expanded context windows enabling AI to understand entire codebases without manual context curation Automatic testing generation where AI not only writes code but also creates and runs comprehensive test suites Self-verification loops where agents test their own work and iterate without human intervention Design-to-implementation pipelines where UI mockups directly generate working code Agentic tools that can break down complex features autonomously and implement them incrementally The key insight: we're moving from "AI helps me code" to "AI codes while I guide and verify" - a fundamental shift in the developer's role from implementer to architect and quality assurance. Getting Started: Experiment and Learn by Doing "I haven't found a single resource that covers everything. My recommendation is to try Claude Code or Cursor yourself with your own small projects. You don't know the experience until you try it." Rather than pointing to comprehensive guides (which don't yet exist for this rapidly evolving field), Markus advocates hands-on experimentation. Start with personal projects where stakes are low. Try multiple tools to understand their strengths. Build intuition through practice rather than theory. The field changes so rapidly that reading about tools quickly becomes outdated - but developing the mindset and practices for working with AI assistance provides durable value regardless of which specific tools dominate in the future. About Markus Hjort Markus is Co-founder and CTO of Bitmagic, and has over 20 years of software development expertise. Starting with Commodore 64 game programming, his career spans gaming, fintech, and more. As a programmer, consultant, agile coach, and leader, Markus has successfully guided numerous tech startups from concept to launch. You can connect with Markus Hjort on LinkedIn.

1018: How is Experian transforming from a data company into a technology-first innovator? In this episode, Kathleen Peters, Chief Innovation Officer at Experian, joins Peter High to reveal how her team is scaling Generative AI, agentic AI, and behavioral analytics to fight fraud, streamline decisioning, and make advanced modeling accessible to everyone. Kathleen shares how Experian's global Innovation Labs evolved from blue-sky R&D to delivering real-world impact, from the Experian Assistant, a natural-language AI that can build models in minutes, to cutting-edge behavioral analytics that distinguish humans, bots, and AI agents in real time.

In Part 4 of this Pulse Check series, Scott Cline sits down with Geoff Baird, higher ed thought leader and author of The Signal Solution, to discuss how AI in higher education admissions is driving a seismic shift in how institutions engage with prospective students. Drawing parallels to the urgency of innovation during COVID-19, Baird argues that AI represents a "silent pandemic" in admissions — one that requires institutions to rethink processes, strategy, and student engagement at lightning speed. This episode is a must-listen for enrollment leaders navigating the new realities of enrollment marketing and technology adoption.Guest Name: Geoff Baird, Founder & CEO, enroll mlGuest Socials: https://www.linkedin.com/in/geoffbaird/https://www.enrollml.com/signalsolutionGuest Bio: Geoff Baird is the founder and CEO of enroll ml and author of the recently released book, The Signal Solution: How Smart Colleges Stop Chasing Applications and Start Converting Students. Over 35 years, Geoff has guided entities ranging from Fortune 50 business units to higher ed institutions through high-stakes operational and financial decisions to deliver growth, sustainability, and innovation. His company, enroll ml, is an AI-driven platform that helps institutions improve middle funnel enrollment yield, force-multiplying admissions teams and enhancing the effectiveness of new student recruitment investment. In 2024, enroll ml was named to GSV Ventures and Google Cloud's list of the 50 most innovative ed-tech startups worldwide. - - - -Connect With Our Host:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Konstantine Buhler, Partner at Sequoia, speaks with Bloomberg's Francine Lacqua about the big deal between AMD and OpenAI, his conversation with Nvidia's Jensen Huang and the future of AI. They speak from the Citadel Future of Global Markets Conference.See omnystudio.com/listener for privacy information.

In this podcast, Vishal Iyengar, Principal at Deloitte, and Mike Stimpson, CTO at enGen, discuss the strategic value that AI Agents can unlock to transform healthcare outcomes, operations, and stakeholder experience. They explore the practical use of Agents to answer foundational questions and address requests for information from members and providers that routinely cause abrasion, confusion, and administrative overhead. Vishal and Mike also highlight what is needed for these Agentic solutions to be deployed and adopted for organizations to achieve the expected results – data integrity, cyber security, governance and compliance, and targeted talent. In this episode, they talk about:How AI has grown from traditional machine learning to GenAI to today's Agentic capabilitiesA simple 3-layer setup: domain agents (specialists), reasoning agents (the organizer), and an enterprise model (the professor)Real-life use cases, like “Is this service covered?” or “Why was my claim denied?”What enGen focuses on to succeed: fresh thinking, outside perspectives, curiosity, a willingness to rebuild, and the right teamenGen's vision is transforming healthcare by supporting members on their whole health journey and creating seamless experiencesSmarter data with AI-enabled APIs that make information easy to use across different needsWhy speed matters but not at the cost of security and trustA Little About Vishal and Mike:Vishal brings over 2 decades of technology and business transformation experience in the Health Care industry. He specializes in the infusion and adoption of new-age technologies into today's complex ecosystem that enables Payers and Providers to manage, deliver, and reimburse for care. Most recently, he has focused on real-world use of AI to augment technologists, operators, and business experts to meaningfully change how Health Care systems support their stakeholders. Mike comes to enGen with over 25 years of experience in technology and operations within both the health care and financial services industries. For the past 20 years, he consulted with health care organizations in transforming their businesses through technology-enabled solutions and large-scale business transformations specifically focused in core administration and service transformation . Mike leads enGen's person-centric solutions focused on digital, clinical and provider transformation that puts the member and patient at the center of their healthcare journey.

OpenAI is dropping a visual agent builder

Today on our show:ChatGPT Is Actually The Ultimate In Influencer-Driven CommerceOpenAI x Stripe Agentic Commerce Protocol Has Makings of Silicon Valley Catfight- and finally, The Investor Minute which contains 5 items this week from the world of venture capital, acquisitions, and IPOs.Today's episode is sponsored by Mirakl.https://www.rmwcommerce.com/ecommerce-podcast-watsonweeklyThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

Every January, physical therapy and other recurring care specialties face a massive spike in reverifications as insurance plans reset and deductibles change. In this episode, Infinx SMEs discuss how Agentic AI and staffing flexibility provide the tools practices need to stay ahead of the surge and protect revenue.

This week on the GeekWire Podcast: How artificial intelligence is changing the way companies are created, built, and operated. We're on location at Pioneer Square Labs in Seattle with investor and entrepreneur T.A. McCann, a managing director at the startup studio and venture capital firm. He explains how AI agents are automating complex functions, letting small teams do the work that once required large groups of people. As AI makes product development easier, he says, the key strategic moat for many startups is now shifting to distribution and data. Other topics include: The wearable AI recorder that captures everything he says throughout the day. The rise of the "one-person billion-dollar company" powered by a suite of specialized AI agents. How AI-generated personas are replacing human focus groups for market research. The future of "agent-to-agent" conversations, where different AI systems negotiate with each other on behalf of their companies. With GeekWire co-founder Todd Bishop; Edited by Curt Milton.See omnystudio.com/listener for privacy information.

Is the AI disruption overhyped or just getting started?Yale says the labor market isn't budging. Walmart is betting $1B that employee training is the missing piece. Meanwhile, Gen Z is pivoting to trades in an AI-fearing talent shift no one saw coming.This week's AI headlines tell a much deeper story than flashy product drops. From ChatGPT turning into a shopping mall to Claude going full autonomous coder, and the rise of “work slop” at the office—every release points to a strategic fork in the road: consumerization vs. enterprise agents.Your job as a business leader? Know which wave to ride—and when. This episode delivers the insights to help you navigate the noise, avoid the hype, and see what's really happening under the surface.In this session, you'll discover:Why Yale's new research says there's no labor disruption yet—and what that doesn't meanHow Walmart's $1B upskilling initiative reflects a bigger workforce gap than most execs are ready to admitThe quiet revolution: Claude 4.5 coding autonomously for 30 hours straightOpenAI's wild move into consumer land with Sora 2 + an invite-only social video feedWhy Instant Checkout turns ChatGPT into an e-commerce front-end (and how it could threaten Amazon)The rise of “work slop”—and the reputational risk it brings to your teamAgentic browsers are here: Comet, Opera Neon, and more change how we interact with the webAI in Hollywood: The synthetic actress already replacing human starsAnd a shocking stat: 58% of employees are using AI tools with no training—and leaking sensitive dataYale Budget Lab: Early Evidence of AI's Labor Market Impacts - https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Today's show features: Jeremy Nowling, Sales and Digital Retailing Director Rohrman Auto Group Nick Perdikis, CEO of inride William Camastro, Dealer Principal, Partner at Gold Coast Cadillac This episode is brought to you by: Lotlinx – With Lotlinx, dealers win with every VIN. The AI-powered platform uses the most robust VIN and shopper data to help optimize every vehicle and protect profit. Take control of your inventory today at ⁠Lotlinx.com⁠. inride – inride's Trade Agent AI helps dealers by mining their customer database 24/7. It finds trade-in opportunities, engages owners, and books appointments automatically—faster than any human team. Right now, dealers can claim 30 days free PLUS a discounted monthly rate. But hurry—this exclusive offer ends October 15, 2025. Go to https://inride.com/trade-agent-ai-demo-request/ today! Car Dealership Guy is back with our second annual NADA Party—happening in Las Vegas on Thursday, February 5th. It's the hottest ticket at NADA 2026. Spots are limited and unfortunately we can't invite everyone —so RSVP today at ⁠⁠⁠⁠⁠https://carguymedia.com/cdglive⁠⁠⁠⁠⁠ and we hope to see you in Vegas! — Check out Car Dealership Guy's stuff: CDG News ➤ h⁠⁠⁠⁠⁠ttps://news.dealershipguy.com/⁠⁠⁠⁠⁠ CDG Jobs ➤ ⁠⁠⁠⁠⁠https://jobs.dealershipguy.com/⁠⁠⁠⁠⁠ CDG Recruiting ➤ h⁠⁠⁠⁠⁠ttps://www.cdgrecruiting.com/⁠⁠⁠⁠⁠ My Socials: X ➤ ⁠⁠⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠https://www.instagram.com/cardealershipguy/⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠dealershipguy.com

OpenAI has introduced Instant Checkout inside ChatGPT, allowing purchases to happen directly in the conversation. The update challenges the traditional search-to-cart model, raising questions about consumer adoption, advertising, and control of online shopping intent. Discussion also covers the agentic commerce protocols powering this shift, Stripe and Shopify's involvement, Google's competing AP2 standard, and the broader implications for Amazon, Google, and the future of e-commerce.Brought to you by:Is your enterprise ready for the future of agentic AI?⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit AGNTCY.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit Outshift Internet of Agents⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Notion AI today with Notion 3.0 ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ntn.so/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

Marijn for once, does something useful (in Steve's house).A new Modern Workplace workshop arises, so that means the boys will be live workshopping (aka pisstaking) around it. Marijn tells his Copilot horror stories. The boys end with such a unique whisky that only 1 bottle exists.

Modern software systems are composed of many independent microservices spanning frontends, backends, APIs, and AI models, and coordinating and scaling them reliably is a constant challenge. A workflow orchestration platform addresses this by providing a structured framework to define, execute, and monitor complex workflows with resilience and clarity. Orkes is an enterprise-scale agentic orchestration platform The post Orkes and Agentic Workflow Orchestration with Viren Baraiya appeared first on Software Engineering Daily.

In episode 581 of Lawyerist Podcast, Zack Glaser talks with Drew Bloom of Affinity Consulting Group about how artificial intelligence is evolving from assistants into agents that can act on a lawyer's behalf. Instead of just suggesting edits or answers, agentic AI can redline contracts, search multiple documents, and connect across platforms to finish tasks before asking for approval.   Drew explains what this shift means for law firms, what tools are likely to appear in the next 12–24 months, and why preparing your data—through structure, metadata, and integrations—matters more than ever. He also shares practical ways to start experimenting with AI connectors in tools you already use, so you're ready when agentic features become standard in everyday legal work.    Listen to our other episodes on AI in Law:  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  #565: Becoming the AI Driven Leader, with Geoff Woods Apple | Spotify | LTN  #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell Apple | Spotify | LTN  #553: AI Tools and Processes Every Lawyer Should Use, with Catherine Sanders Reach Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #538: AI Is Making Law Firms Obsolete, with Alistair Vigier Apple | Spotify | LTN    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters/Timestamps:  0:00 – Introduction & Conferences Recap  2:48 – From SEO to AEO: The New Search Frontier  6:34 – Meet Drew Bloom: AI for Law Firms  8:48 – What Makes AI “Agentic”?  13:47 – Assistants vs. Agents: How They Differ  16:00 – Redlining & Real-World Use Cases  20:41 – MCPs and Custom AI Connections  27:30 – The Future: Multi-Tool AI & Mobility  29:48 – Preparing Your Firm: Data & Metadata  34:38 – Where Lawyers Can Experiment Safely   

Heading into the fourth quarter, there are no signs of a slowdown in developments that will keep business and technology leaders on their toes. This episode dives into the latest impacts of geopolitics on the tech industry and AI's impact on commerce and buying networks.

1016: The AI workforce won't replace humans—but it will reshape how work gets done. On this episode of Technovation with Peter High, Salesforce EVP & CDO Joe Inzerillo joins to explore the rise of agentic AI and how it's transforming work, from org structure to customer engagement. Joe draws on lessons from Disney, SiriusXM, and now Salesforce to unpack the “Customer Zero” model, how digital labor changes work design, and why empathy is the superpower for AI leadership.

In Part 3 of this Pulse Check series, Scott Cline sits down with Dr. John Haller, former VP of Enrollment Management at the University of Miami and current higher education consultant, to unpack how AI agents are being used across college admissions offices. From streamlining essay reviews to decoding enrollment trends and anticipating student persistence, this episode tackles the promise and pitfalls of using AI in higher ed. If you're a higher ed leader wrestling with how (or whether) to integrate AI into admissions and marketing, this episode offers a refreshingly honest, behind-the-scenes perspective.Guest Name: Dr. John Haller, Special Assistant to the President, Strategic Initiatives at Denison UniversityGuest Social: johnhaller.orgGuest Bio: Dr. John Haller is a higher education consultant and professor.  Most recently, he served as the Special Assistant to the President, Strategic Initiatives at Denison University.  For 10 years John served as the Vice President of Enrollment Management and New Student Strategies at the University of Miami.  During his time at Miami, he led the movement from a largely merit-based to a hybrid merit- and need-based financial aid strategy where 100% of financial need is met.  Also, the institution realized a 30%+ increase in applications and a 50%+ increase in yield.  The institution realized a decrease in student indebtedness ($10,000) and the highest freshman retention (94%) and six-year graduation rates in University history (82%).  Dr. Haller also served as the Associate Provost for Enrollment Management at Saint Joseph's University and had experiences in student success at Drexel University, MBA Admission at Vanderbilt University, and Undergraduate Admission at Denison University.  He is an honors graduate in economics and statistics from the University of Michigan, received master's degrees in business and higher education, and received his Ed.D. in higher education from the University of Pennsylvania.  He can be contacted via his blog at johnhaller.org. - - - -Connect With Our Host:Mallory Willsea https://www.linkedin.com/in/mallorywillsea/https://twitter.com/mallorywillseaAbout The Enrollify Podcast Network:The Higher Ed Pulse is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In episode 581 of Lawyerist Podcast, Zack Glaser talks with Drew Bloom of Affinity Consulting Group about how artificial intelligence is evolving from assistants into agents that can act on a lawyer's behalf. Instead of just suggesting edits or answers, agentic AI can redline contracts, search multiple documents, and connect across platforms to finish tasks before asking for approval.   Drew explains what this shift means for law firms, what tools are likely to appear in the next 12–24 months, and why preparing your data—through structure, metadata, and integrations—matters more than ever. He also shares practical ways to start experimenting with AI connectors in tools you already use, so you're ready when agentic features become standard in everyday legal work.    Listen to our other episodes on AI in Law:  #577: Rethinking Law Firm Growth in the Age of AI, with Sam Harden Apple | Spotify | LTN  #565: Becoming the AI Driven Leader, with Geoff Woods Apple | Spotify | LTN  #562: Beyond ChatGPT: The AI Revolution Happening Inside Your Firm, with Charreau Bell Apple | Spotify | LTN  #553: AI Tools and Processes Every Lawyer Should Use, with Catherine Sanders Reach Apple | Spotify | LTN  #543: What Lawyers Need to Know About the Ethics of Using AI, with Hilary Gerzhoy Apple | Spotify | LTN  #538: AI Is Making Law Firms Obsolete, with Alistair Vigier Apple | Spotify | LTN    If today's podcast resonates with you and you haven't read The Small Firm Roadmap Revisited yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.    Access more resources from Lawyerist at lawyerist.com.    Chapters/Timestamps:  0:00 – Introduction & Conferences Recap  2:48 – From SEO to AEO: The New Search Frontier  6:34 – Meet Drew Bloom: AI for Law Firms  8:48 – What Makes AI “Agentic”?  13:47 – Assistants vs. Agents: How They Differ  16:00 – Redlining & Real-World Use Cases  20:41 – MCPs and Custom AI Connections  27:30 – The Future: Multi-Tool AI & Mobility  29:48 – Preparing Your Firm: Data & Metadata  34:38 – Where Lawyers Can Experiment Safely    Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Amit Santhirasenan, co-founder and CEO of hyperexponential, an actuary and software engineer who has built the AI native pricing and underwriting platform used by leading specialty carriers. In this episode we cover how to turn messy submissions into structured signals your pricing model can trust – without hiring an army, multi agent architectures, the agentic AI mesh, and the human in the loop controls executives need for auditability and speed, and where agentic underwriting is ready today (and where it isn't), plus the metrics executives should track—cycle time, hit ratio, and loss ratio uplift. KEY TAKEAWAYS Email submissions were a luxury at the start of my career! What's been so exciting for me, as a self-professed nerd, is the pace at which the capabilities of core models have got so good that even 6 months ago was a whole product's capability and feature set is now within the gift of Gemini or GPT5. If you're an underwriter filling out a spreadsheet/renew model, in 2025 you need to be working with hx underwriting , actuary or agent inside a renew model to have your paired partner helping you get to the best result. Why can't you have deep risk research on every single risk? Why can't you say: Tell me the most important characteristics in the world that you can tell me about the top 3 exposures? No human can do this work, the cost/benefit trade off there isn't economic, but you can run an OpenAI deep risk API call to do that on every single risk you underwrite today. We do it for you, it's what we do. All of a sudden it's dramatically easier to bring that level of differentiation and specialism in the way that great underwriting has always been done to every single risk you want to touch. BEST MOMENTS ‘You won't see that many places with a $7 trillion contribution to GDP, with such a small number of companies and people responsible for this.' ‘We demonstrated the first API machine vision algorithm in the market in 2017, now kids coming out of university are doing that as toy projects before they get to our clients.' ‘You can have an army of digital agents helping you now, all for $20 per month!' ‘Generative AI models have unlocked the ability to pull data so quickly out of the information required for underwrite that you can put a very quick red/amber/green status on risks, several orders of magnitude greater than ever before.' ABOUT THE GUESTS Amit Santhirasenan is the Co-founder and CEO of Hyperexponential (hx), the AI native pricing and underwriting platform for P&C insurers. Under his leadership, hx Renew has become known for delivering executive level outcomes: ~50% faster submission to bind, 10× faster model build and deployment, and a platform that supports $45bn+ in GWP for 20+ enterprise customers worldwide. A qualified actuary and computer scientist, Amrit previously spent over a decade in the London Market. He served as Head of Pricing & Analytics at Tokio Marine Kiln, building the managing agent's first technical pricing team to support ~£1.5bn GWP, and earlier held actuarial roles at Catlin (including standing up the Canadian actuarial function). ABOUT THE HOST Sabine is a corporate strategist turned entrepreneur. She is the CEO and Managing Partner of Alchemy Crew a venture lab that accelerates the curation, validation, & commercialization of new tech business models. Sabine is renowned within the insurance sector for building some of the most renowned tech startup accelerators around the world working with over 30 corporate insurers, accelerated over 100 startup ventures. Sabine is the co-editor of the bestseller The INSURTECH Book, a top 50 Women in Tech, a FinTech and InsurTech Influencer, an investor & multi-award winner. Twitter LinkedIn Instagram Facebook TikTok Email Website This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

"How Agentic AI Is Replacing Subscription Revenue"Chuck Ganapathi, the CEO of Gainsight & Brett Queener, Managing Director at Bonfire Ventures, who previously ran product at Salesforce and helped destroy Siebel, the company where he and Chuck first met. Together, they've witnessed every major shift in enterprise software over three decades, and they believe the biggest one is happening right now.In this conversation, Brett unveils his forthcoming thesis on "the end of ARR," arguing that agentic AI will fundamentally break subscription business models. When products finally achieve what he calls "product purity", actually doing the job they promise without requiring armies of CSMs, endless onboarding, and quarterly business reviews, the entire economic foundation of SaaS collapses. Chuck and Brett discuss whether this is an existential threat or the evolution the industry has been waiting for.What you'll learn:- Why the "friction gap" between product and value created the entire CS industry- What "product purity" means and why it threatens traditional SaaS economics- How agentic AI fundamentally changes the unit economics of software- Why usage-based pricing is inevitable once products actually work- The product marketing playbook that still matters in an AI-first worldCheck out the Key Takeaways & Transcripts: https://www.gainsight.com/presents/series/unchurned/Where to Find the GuestBrett's LinkedIn - https://www.linkedin.com/in/brettqueener/Chuck's LinkedIn: https://www.linkedin.com/in/chuckganapathi/Where to Find Josh: LinkedIn: https://www.linkedin.com/in/jschachter/In this episode, we cover:0:00 - Preview & Introduction1:18 - Meet Chuck & Brett3:30 - How Brett and Chuck met at Siebel 9:28 - Transition to Salesforce: destruction of Siebel as a goal14:11 - Changing Nature of Product Marketing in the AI Era18:00 - Systems of Record vs. Systems of Action21:13 - Databases as “lossy” representations of reality29:00 - Brett's thesis: "The End of ARR (And I Feel Fine)"34:28 - How should agentic applications be priced?43:43 - Future Outlook: Market paying premium for top agents47:17 - 10x CSMs enabled by AI agentsReferences:- Brett Queener's blog: https://queener.substack.com/

Maximilian Vogel dismisses tales of agentic unicorns, relying instead on human expertise, rational objectives, and rigorous design to deploy enterprise agentic systems.   Maximilian and Kimberly discuss what an agentic system is (emphasis on system); why agency in agentic AI resides with humans; engineering agentic workflows; agentic AI as a mule not a unicorn; establishing confidence and accuracy; codesigning with business/domain experts; why 100% of anything is not the goal; focusing on KPIs not features; tricks to keep models from getting tricked; modeling agentic workflows on human work; live data and human-in-the-loop validation; AI agents as a support team and implications for human work.  Maximilian Vogel is the Co-Founder of BIG PICTURE, a digital transformation boutique specializing in the use of AI for business innovation. Maximilian enables the strategic deployment of safe, secure, and reliable agentic AI systems.Related ResourcesMedium: https://medium.com/@maximilian.vogelA transcript of this episode is here.   

This week, Cathy McKnight, Chief Problem Solver at Seventh Bear, makes her monthly visit to the studio, and she and our host Ian Truscott discuss 5 skills marketers need for working with agentic AI, based on an article she wrote for Salesforce.com. They discuss: Strategic thinking Creative direction AI literacy Ethical judgment Orchestration and collaboration If you have any comments or thoughts on this topic, we would love to hear them, we welcome your feedback.  Enjoy! — The Links The people: Ian Truscott on LinkedIn  Cathy McKnight on LinkedIn Mentioned this week: Cathy's article on Salesforce.com: 5 Agentic AI Marketing Skills You Need Right Now Cathy's firm - Seventh Bear Rockstar CMO: The Beat Newsletter that we send every Monday Rockstar CMO on the web and LinkedIn Previous episodes and all the show notes: Rockstar CMO FM. Track List: We'll be right back by Stienski & Mass Media on YouTube You can listen to this on all good podcast platforms, like Apple, Amazon, and Spotify. Learn more about your ad choices. Visit megaphone.fm/adchoices

Retail is experiencing seismic shifts, and businesses that don't adapt risk becoming irrelevant overnight. In this compelling episode of Talk Commerce, recorded live from Shop Talk Fall in Chicago, host Isaac Morey sits down with Pano Anthos, founding member of XRC Ventures, to explore how agentic AI is reshaping consumer behavior and business operations. Their conversation reveals why traditional e-commerce strategies won't survive the next wave of technological disruption.About Pano AnthosPano serves as a founding member of XRC Ventures, an investment firm operating at the intersection of consumer behavior and technology. His expertise spans venture capital, retail innovation, and emerging technology trends that impact how businesses connect with customers. Pano's investment philosophy centers on understanding consumer adoption patterns to predict corporate technology trends. He's particularly focused on agentic AI applications across supply chain management, customer support, and e-commerce optimization. His insights come from years of observing how consumers embrace new technologies before enterprises catch up. Throughout his career, Pano has maintained that studying consumer behavior provides the clearest roadmap for understanding where business technology is headed next.Episode SummaryPano explains why XRC Ventures focuses on consumer behavior as a predictor of technological advancement. "Consumers are responsible for two trillion in spend and a massive portion of our GDP," he explains. "They tend to be relatively much faster early adopters of technology than corporations." This philosophy drives their investment strategy and provides unique insights into market direction.When discussing agentic AI, Pano breaks down the concept into four essential components: autonomous planning, adaptive reasoning, tool integration, and goal orientation. "AI to figure out the rules. You have to really lay out the rules first," he emphasizes. "That's the misconception of autonomous AI is that it will make decisions within boundaries. But you have to set those boundaries or you get nothing."The conversation takes a practical turn as Pano shares examples of agentic AI in action. He describes an investment opportunity involving supply chain automation where AI intercepts and processes manufacturer communications. "There's a very set of manual tasks today," he explains. "This team out of Israel has figured out how to automate using an LLM to basically take all those messages they're going back and forth and make decisions based on the rules that have been set by the organization."For small e-commerce businesses, Pano delivers stark advice about the changing landscape. "Your website is toast," he warns. "Unless you are a fashion-oriented product where discovery is important and inspiration is important and it's truly discretionary, the chat engines are going to take over." He demonstrates this point using Perplexity Shopping, showing how consumers can research, compare, and purchase products without ever visiting a brand's website.The discussion reveals how AI-powered shopping platforms threaten traditional cross-selling strategies. "You are, you know, for that transaction, yes. To build some brand awareness, maybe. Cross-sell, absolutely not," Pano states. This fundamental shift forces businesses to reconsider their entire customer acquisition and retention strategies.Pano's advice for content teams reflects the urgency of this transition: "Start using the engines and asking all the questions that any consumer and they give you all the questions that consumers can ask and go figure out whether you're in the top three or top one or top two." He stresses the importance of understanding where brands rank in AI responses and working backward to improve visibility in source content.The conversation concludes with predictions about Google's future. "The judges in the trial that just came out last week or two weeks ago, it's pretty obvious that the judge knows that what we all know is Google search in the traditional SEO, SEM world, it's over," Pano observes. He compares Google's potential fate to previous tech giants, noting how quickly market leaders can become irrelevant when disrupted by superior technology.Key Takeaways• Consumer adoption drives innovation: Consumers spend two trillion dollars annually and adopt technology faster than corporations, making them the ultimate predictor of future trends• Process documentation is crucial: Successful AI implementation requires clearly defined rules and boundaries before automation can begin• Reddit has become the new SEO: Chat engines prioritize Reddit content over traditional website reviews, fundamentally changing how brands build credibility• Website traffic will decline dramatically: Hard goods businesses face inevitable traffic drops as consumers turn to AI-powered shopping experiences• Transparency is the new currency: AI engines expose product quality issues that brands previously could hide through marketing• Google's dominance faces serious threats: Traditional search is being replaced by conversational AI interfaces that provide instant, comprehensive answersFinal ThoughtsThe retail revolution isn't coming—it's already here, reshaping how consumers discover, evaluate, and purchase products. Pano Anthos delivers a clear message: businesses must abandon traditional web-centric strategies and embrace AI-powered commerce platforms or risk obsolescence. The winners won't be those with the prettiest websites but those who understand how to position themselves effectively within AI-driven discovery systems. As we navigate this transformation, one question remains: will your business become an agent of change or merely another victim of technological disruption?Connect with XRC Ventures:https://xrcventures.comhttps://www.linkedin.com/company/xrcventureshttps://www.instagram.com/xrcventuresFollow Talk Commerce on your favorite platform:YouTube: https://www.youtube.com/@talkcommerceBluesky: https://bsky.app/profile/talkcommerce.bsky.socialApple Podcasts: https://podcasts.apple.com/us/podcast/talk-commerce/id1561204656Spotify: https://open.spotify.com/show/7Alx6N7ERrPEXIBb41FZ1nTwitter: @talkingcommerceLinkedIn: https://www.linkedin.com/company/talk-commerceFacebook: https://www.facebook.com/talkingcommerceWebsite: https://talk-commerce.com/

Peggy wraps up the month, giving her final thoughts about agentic AI (artificial intelligence). She pulls back the curtain on what's really happening behind the scenes in today's digital transformation—and offers her candid perspective on what comes next. She also discusses: · The critical risks businesses must address in the days ahead. · The four steps to take today to prepare for a better tomorrow. · Why the time to act is now—and how companies can cut through the hype to focus on what really matters. https://peggysmedleyshow.com

Pat Michael, Director of Patient Contact Services at Nebraska Medicine, highlights the challenges of high-volume patient contact centers and how agentic AI can improve operational efficiency, enhance patient access, and allow human agents to focus on more complex and critical calls.  The AI agent offers patients self-service options for scheduling, cancellations, and medication refills, resulting in a 40% reduction in call volume to human operators. Integrating AI into the contact center also enables the prioritization of time-sensitive calls, such as those related to organ transplant coordination. Pat explains, "I'm the Patient Contact Services Director for Nebraska Medicine, which means I oversee our three main contact centers. They're our ambulatory contact center, which takes and schedules all the calls for our ambulatory clinic, and our radiology contact center, which schedules all of our outpatient radiology services. And then our medical communication center, which is our 24-hour-a-day, seven-day-a-week operation with our hospital operators and a group of triage nurses."   "So, some of the challenges that we had are that one of the big things is that we deal with the sheer volume of calls coming into the contact center. And so through the three contact centers, we have about 2.5 million calls that come in, but they're not evenly distributed. They come in when they come in. And so the key to success is managing all these complex calls while ensuring accuracy in the call handling. And what does that mean in the simplest terms? You have to have time to handle the calls accurately. Are we actually staying ahead of the volume, or are we just trying to catch up?"  #NebraskaMedicine #ActiumHealth #AIAgents #PatientEngagement #healthtech #AgenticAI #automation Nebraskamed.com Listen to the podcast here

Pat Michael, Director of Patient Contact Services at Nebraska Medicine, highlights the challenges of high-volume patient contact centers and how agentic AI can improve operational efficiency, enhance patient access, and allow human agents to focus on more complex and critical calls.  The AI agent offers patients self-service options for scheduling, cancellations, and medication refills, resulting in a 40% reduction in call volume to human operators. Integrating AI into the contact center also enables the prioritization of time-sensitive calls, such as those related to organ transplant coordination. Pat explains, "I'm the Patient Contact Services Director for Nebraska Medicine, which means I oversee our three main contact centers. They're our ambulatory contact center, which takes and schedules all the calls for our ambulatory clinic, and our radiology contact center, which schedules all of our outpatient radiology services. And then our medical communication center, which is our 24-hour-a-day, seven-day-a-week operation with our hospital operators and a group of triage nurses."   "So, some of the challenges that we had are that one of the big things is that we deal with the sheer volume of calls coming into the contact center. And so through the three contact centers, we have about 2.5 million calls that come in, but they're not evenly distributed. They come in when they come in. And so the key to success is managing all these complex calls while ensuring accuracy in the call handling. And what does that mean in the simplest terms? You have to have time to handle the calls accurately. Are we actually staying ahead of the volume, or are we just trying to catch up?"  #NebraskaMedicine #ActiumHealth #AIAgents #PatientEngagement #healthtech #AgenticAI #automation Nebraskamed.com Download the transcript here

From smart carts to video ads and the rise of agentic shopping, Roger shares the trends brands need to get across now to stay relevant in the future of commerce. And with AI rapidly reshaping how shoppers discover and buy, Roger walks us through three frontiers of AI: inside AI, inside out AI and outside in AI, and what this means for brands showing up on the digital shelf. As a retail media specialist, Roger also shares his perspectives on how retail media differs across regions and how internal teams can best build capability to manage it.

AI is rewriting how value is created and moved, digital assets are making finance programmable, and open banking is turning data into a competitive weapon. To become resilient, one must understand the collision between cutting-edge technology and centuries-old financial systems. How is open banking democratizing financial data? Why are some regions outpacing others in fintech innovation, while others lag behind? And what happens when AI agents start managing our money? I'm excited to welcome Ronit Ghose, Head of Future of Finance at Citi Institute and author of the groundbreaking book "Future of Money," to the Banking Transformed podcast, recorded at Money 20/20 in Riyadh, Saudi Arabia. From his unique perspective at one of the world's largest financial institutions, he has seen how technologies that seemed like science fiction a decade ago are now fundamentally transforming how money moves, how we bank, and how financial services operate across different continents. Whether you're a fintech founder, a traditional banker, or simply someone who wants to understand where money is heading in the next decade, this conversation will challenge how you think about the future of finance.

In this episode of Talk Commerce, Brent Peterson speaks with Martin Balaam, CEO of Pimberly, about the critical role of Product Information Management (PIM) in e-commerce. They discuss how PIM serves as a single source of truth for product data, its importance in global e-commerce, and the impact of AI and agentic commerce on the industry. The conversation also touches on the differences between B2B and B2C approaches to PIM, the challenges of data management, and how Pimberly differentiates itself in the market. Finally, they explore the implications of tariffs on data management and the future of PIM in a rapidly changing landscape.TakeawaysPIM is essential for managing complex product data.Globalization requires businesses to adapt their product data strategies.AI optimization is crucial for effective e-commerce.B2B companies are adopting agentic commerce faster than B2C.Structured data is necessary for machine-readable formats.PIM helps reduce the number of SKUs needed for different marketplaces.Tariffs can significantly impact supply chain data management.Pimberly focuses on high complexity and conditionality in product data.The importance of capturing contextual information in B2C.PIM can streamline data management across various platforms.Chapters00:00Introduction to Pimberley and Martin Balaam04:14Understanding Product Information Management (PIM)07:23The Importance of a Centralized Data Source12:13Agentic Commerce and Its Future17:00B2B vs B2C: Data Needs and Challenges21:57The Role of PIM in Supply Chain Management25:17Conclusion and Future Outlook for Pimberley27:21TC - Outtro All AV version 1.mp4Follow Talk Commerce on your favorite platform:YouTube: https://www.youtube.com/@talkcommerceBluesky: https://bsky.app/profile/talkcommerce.bsky.socialApple Podcasts: https://podcasts.apple.com/us/podcast/talk-commerce/id1561204656Spotify: https://open.spotify.com/show/7Alx6N7ERrPEXIBb41FZ1nTwitter: @talkingcommerceLinkedIn: https://www.linkedin.com/company/talk-commerceFacebook: https://www.facebook.com/talkingcommerceWebsite: https://talk-commerce.com/

In a new pharmaphorum podcast, web editor Nicole Raleigh spoke with Anthony Cilento, vice president, data science & customer insights, at Bayer, in a post-Axtria Ignite 2025 discussion on the conference and agentic AI more generally. Cilento speaks to the advancement from GenAI to agentic AI, what's changed for his own team in this regard and what's required by way of a culture shift more generally, as well as speaking to the changes necessary in the advanced therapies space when it comes to commercialisation. You can listen to episode 206a of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from.

With so many people struggling to manage their finances effectively, the financial services industry is steadily shifting its focus from increasing financial inclusion to improving financial health. For more than two decades, Jennifer Tescher has been pursuing this cause with the Financial Health Network, with the aim of ensuring a fair shake for the “little guy.” Now, with the emergence of agentic AI and open banking, Jennifer is helping to usher in a new era of personalised financial solutions, from AI-powered advisers that improve financial decision-making, to “self-driving wallets” that can take action on behalf of consumers. In this episode, Jennifer explains what consumers stand to gain from these advances, how banks will benefit too, and how the work being done now is laying the foundation for a more equitable financial future.Disclaimers:Visa Direct capability is enabled through a financial institution partner. Visa Direct product availability and functionality varies by market. The views and opinions expressed in this podcast are those of the speakers and do not necessarily reflect the views or positions of any entities they represent. Visa neither makes any warranty or representation as to the completeness or accuracy of the information within this podcast, nor assumes any liability or responsibility that may result from reliance on such information and any information from third parties. The information contained in this podcast is not intended as investment or legal advice, and listeners are encouraged to seek the advice of a competent professional where such advice is required. All brand names, logos and/or trademarks are the property of their respective owners, and do not necessarily imply product endorsement or affiliation with Visa.

Everyone's talking about Agentic AI, but beyond the buzz, what's actually happening on the ground? The mnemonic security podcast is continuing to dive into the world of Agentic AI in our latest episode, recorded live at Sikkerhetsfestivalen.For this episode, Robby is joined by fellow podcaster (CloudFirst Podcast and KI til Kaffen) Marius Sandbu. They look at real-world implementations of agent-based systems, particularly what's been done in Norway. And try to answer the question: are we ahead, behind, or just cautious?They also discuss lessons learned from local projects, the current state of the global ecosystem, and what it really takes to make Agentic AI useful; diving into integration concepts like MCP and RAG, and how they're being applied in practice.Send us a text

Coinbase and Cloudflare are pushing forward with X402, a new crypto-powered payments protocol for AI agents. Could agent-to-agent transactions reshape e-commerce and the web itself? Meanwhile, Tom Lee is pitching Ethereum as Wall Street's neutral chain of choice—even as critics push back—and Michael Saylor doubles down on Bitcoin as the true foundation of digital capital markets. Enjoying this content? SUBSCRIBE to the Podcast: https://pod.link/1438693620 Watch on YouTube: https://www.youtube.com/@TheBreakdownBW Subscribe to the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blockworks.co/newsletter/thebreakdown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join the discussion: https://discord.gg/VrKRrfKCz8 Follow on Twitter: NLW: https://twitter.com/nlw Breakdown: https://twitter.com/BreakdownBW

Join Simtheory: https://simtheory.ai & Try Omnihuman, Gemini Flash 2.5 Preview, Grok 4 FAST, and Suno v5! Code: STILLRELEVANT ---Links:https://worksinprogress.co/issue/the-algorithm-will-see-you-now/https://developers.googleblog.com/en/continuing-to-bring-you-our-latest-models-with-an-improved-gemini-2-5-flash-and-flash-lite-release/---CHAPTERS:00:00 - Gemini 2.5 Flash Agentic Tests with Omnihuman, Suno v5 and Research Tools06:29 - Dis Track AI Music Video (Made by Gemini 2.5 Flash)07:06 - Thoughts on Suno v5, More Agentic Model Discussion29:10 - Are we all sleeping on Grok 4 FAST with 2M context?41:46 - Radiologists are STILL RELEVANT & Is AI Going to Take Our Jobs?44:46 - The need to use multiple specialist models1:01:20 - Is ChatGPT Pulse To Just Sell Ads?1:08:46 - Final thoughts for the week1:11:54 - Gemini Flash 2.5 Dis Track1:15:08 - Love Rat Suno v5 The Midnight Inspired TestThanks for all of your support and listening to the show we really appreciate it! xoxo

In this episode of Resilient Cyber, I sit down with Astrix Security Co-Founder and CEO Alon Jackson to discuss the need for secure agentic adoption across the enterprise. This includes Astrix's approach, which involves enabling enterprises to discover, secure, and deploy AI agents responsibly at scale.

1014: “The speed is so incredible. I can't tell if I'm getting older and I'm slower, or if just the speed of this technology is so exponentially faster.” As CIO of Analog Devices, Nancy Avila leads digital transformation for a $9.5B semiconductor company at the forefront of AI innovation. In this episode of Technovation with Peter High, Nancy Avila, Chief Information Officer of Analog Devices, shares how she returned from retirement to lead IT, data, and AI strategy at a company powering intelligent edge technologies. Nancy outlines her three-pillar strategy of operational excellence, process optimization, and innovation highlighting the company's shift toward enterprise-wide adoption of agentic AI. She details how AI agents are boosting engineering productivity, improving anomaly detection in manufacturing, and transforming internal knowledge access. Nancy also discusses her approach to transparent decision-making in AI and cloud spend, how CIOs can shape business strategy in technical organizations, and her experience serving on public boards.

Go With The Flow: Mastering Automation with Agentic Browsers: A Deep Dive into Claude Code Episode Overview In this episode, Danny McMillan explores the power of automation through agentic browsers and Claude code, discussing how to enhance productivity and streamline workflows. Ritu Java emphasizes the importance of automating repetitive tasks to free up time for strategic thinking. This episode explores automation, workflow implementation with practical insights for immediate implementation. Key Takeaways Automation should be prioritized for any tasks that are repeated, allowing businesses to focus on strategic work rather than repetitive tasks. Using agentic browsers can greatly enhance productivity by managing multiple tasks simultaneously and reducing the manual workload. Chapter Markers Time Chapter Description 00:00 Introduction Danny introduces the episode, welcoming Ritu Java back for another insightful discussion. 05:49 Agentic Browsers and Automation Ritu discusses Google Chrome's new agentic features, including the Gemini integration and how they help automate tedious tasks. 14:57 Real Use Cases Danny and Ritu share personal experiences using agentic browsers like Comet and GenSpark for automating tasks in Seller Central. 38:00 Documenting Workflows Danny presents his session log detailing the extraordinary productivity achieved through automation, emphasizing the importance of documentation. 52:50 Final Thoughts Ritu and Danny conclude their discussion with key insights on overcoming fears around automation and maximizing the benefits of AI in business. Notable Quotes "Get the AI to work for you, not you work for the AI." Resources Mentioned

How can artificial intelligence make itself more efficient? This week, Technology Now delves into the concept of solution based efficiency, how it can be applied to new and emerging technologies, and the importance of expecting the unexpected. John Frey, Senior Director and Chief Technologist of Sustainable Transformation for HPE, tells us more.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations.HPE AI Sustainability Whitepaper: https://www.hpe.com/psnow/doc/a50013815enwSources:https://homepages.math.uic.edu/~leon/mcs425-s08/handouts/char_freq2.pdfhttps://www.morsecodeholistic.com/american-morse-code-translatorhttps://www.bbc.com/news/business-47460499

In this episode, we look at how Chicago is using user-generated storytelling through its “All for the Love of Chicago” campaign to showcase civic pride and boost tourism amid political tensions, while Sabre makes a major move into AI with the launch of agentic AI–ready APIs designed to power real-time shopping, booking, and servicing across flights, hotels, and post-booking services.Are you new and want to start your own hospitality business?Join our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Boostly and join the discussion:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Want to know more about us? Visit our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stay informed and ahead of the curve with the latest insights and analysis.

AI is bringing sweeping changes to drug development, from how targets are discovered to optimizing clinical trials to maximize an asset's chance for success. On a special edition of the BioCentury This Week podcast, IQVIA's Greg Lever joins BioCentury's analysts to discuss agentic AI's short- and long-term prospects to help biotechs discover new targets, predict success in preclinical development, and enhance clinical operations. This episode of BioCentury This Week is sponsored by IQVIA Biotech. View full story: https://www.biocentury.com/article/657086#Biotech #Biopharma #DrugDevelopment #ClinicalTrials #TargetDiscovery #AgenticAI #GraphRAG #DeRisking00:01 - Sponsor Message: IQVIA Biotech01:22 - AI in Biotech05:01 - Machine Learning06:21 - Generative AI and Language Models08:37 - Agentic AI12:43 - AI in Target Discovery23:44 - AI in Clinical Trial DesignTo submit a question to BioCentury's editors, email the BioCentury This Week team at podcasts@biocentury.com.Reach us by sending a text

AI is coming for the world's most popular browser.

Join InfoBeans' Vice President, Sales, Sandeep Padhye, as he speaks with guest Vivek Mahapatra, Vice President, AI Product, Salesforce, about the rapidly evolving world of AI and its impact on the enterprise. They discussed the importance of "failing fast" and the critical elements for successful AI implementation, including trust, governance, and data integration.

Full transcript⁠⁠⁠ ⁠⁠⁠Watch this interview on YouTube⁠⁠⁠ — “Sometimes when you get to a fork in the road and you have to decide, am I going to stay in this job or take this new job? … It can feel like the weight of the world on your shoulders to make that decision,” says Noha Abdalla, CMO of Choice Hotels. “[But] each path is going to lead you somewhere else and you're going to learn something new. And so take the burden off a little bit or the weight of that decision off and pick something and learn from it.” That philosophy has carried Noha from consulting to the American Red Cross, from Animal Planet to Hilton, and now to leading marketing across 22 brands and millions of room nights at Choice. Along the way, she's seen firsthand how marketing builds trust, not just bookings, and how AI is transforming the creative process. Today on Building Better CMOs, Noha talks with MMA Global CEO Greg Stuart about the challenges of hospitality marketing, the decision to bring in Keegan-Michael Key as brand ambassador, and her team's experiments with agentic AI to personalize at scale. They also discuss the role of mentorship, lessons from running a franchise business, and why marketers must champion emotional connection and trust at every step of the customer journey. This episode was produced and edited by Eric Johnson from ⁠⁠⁠⁠⁠LightningPod.fm⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠Follow Building Better CMOs in your podcast app⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Subscribe on YouTube⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Rate & review the podcast⁠⁠⁠⁠⁠⁠⁠ Links: ⁠⁠⁠⁠⁠⁠⁠Noha's LinkedIn⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠Greg's LinkedIn⁠⁠⁠

In this 5 Insightful Minutes episode, David Dorf, Global Head of Retail Industry Solutions at AWS, joins Omni Talk to break down the explosive growth of agentic commerce and what retailers need to know for the upcoming holiday season. From Amazon's "Buy for Me" to Google's shopping agents, David reveals how the "agentic wars" have begun and are moving faster than anyone predicted. He shares critical insights on optimizing for both humans and agents, the shift from SEO to GEO (Generative Engine Optimization), and why retailers need to think strategically about inbound, outbound, and on-site agent strategies.

Send us a textHope and Tivon are a husband and wife team of engineering, research and business professionals. They are American expats who live in Marrakech Morocco. Tivon has a background as a US Navy Technician and energy technology engineer. Hope holds an MBA and has a variety of business management experience in both government and corporate finance, small business management and marketing. They run an online engineering academy for the development of clean energy technology devices. They also make handmade products for EMF protection.They are the authors of “Forbidden Tech: The complete guide to energy, social, and biological technologies that they did not want you to know about” The book is a collection of their life's work and research on fringe topics such as free energy, energy weapons, EMF radiation and protection, surveillance and biotechnology. Hope and Tivon have been giving presentations on the latest developments in the emerging technology industry since 2015.  As Christians they feel it is God's calling on their lives to help communicate to people the technology that is currently being used against Gods creation. Everything they disclose is backed by scientific studies, patents, and facts that can be found in the show notes for each of their presentations at their website: https://www.ftwproject.com/SUPPORT THE SHOWBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3 SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showCONNECT WITH USWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/gggMwCBDEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtSOCIALSInstagram https://www.instagram.com/dangerousinfo/Twitter https://twitter.com/jaymz_jesseGab https://gab.com/JessejaymzTruth Social https://truthsocial.com/@jessejaymzWATCH LIVE YouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://rumble.com/c/DangerousInfoPodcast Twitch https://www.twitch.tv/dangerousinfopodcastPilled https://pilled.net/profile/144176Facebook https://www.facebook.com/DangerousInfoPodcast/BitChute: https://www.bitchute.com/channel/egnticQyZgxDCloutHub https://clouthub.com/DangerousINFOpodcastDLive https://dlive.tv/DangerousINFOpodcast...

Topics covered in this episode: * pandas is getting pd.col expressions* * Cline, At-Cost Agentic IDE Tooling* * uv cheatsheet* Ducky Network UI Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: pandas is getting pd.col expressions Marco Gorelli Next release of Pandas will have pd.col(), inspired by some of the other frameworks I'm guessing Pandas 2.3.3? or 2.4.0? or 3.0.0? (depending on which version they bump?) “The output of pd.col is called an expression. You can think of it as a delayed column - it only produces a result once it's evaluated inside a dataframe context.” It replaces many contexts where lambda expressions were used Michael #2: Cline, At-Cost Agentic IDE Tooling Free and open-source Probably supports your IDE (if your IDE isn't a terminal) VS Code VS Code Insiders Cursor Windsurf JetBrains IDEs (including PyCharm) You pick plan or act (very important) It shows you the price as the AI works, per request, right in the UI Brian #3: uv cheatsheet Rodgrigo at mathspp.com Nice compact cheat sheet of commands for Creating projects Managing dependencies Lifecycle stuff like build, publish, bumping version uv tool (uvx) commands working with scripts Installing and updating Python versions plus venv, pip, format, help and update Michael #4: Ducky Network UI Ducky is a powerful, open-source, all-in-one desktop application built with Python and PySide6. It is designed to be the perfect companion for network engineers, students, and tech enthusiasts, combining several essential utilities into a single, intuitive graphical interface. Features Multi-Protocol Terminal: Connect via SSH, Telnet, and Serial (COM) in a modern, tabbed interface. SNMP Topology Mapper: Automatically discover your network with a ping and SNMP sweep. See a graphical map of your devices, color-coded by type, and click to view detailed information. Network Diagnostics: A full suite of tools including a Subnet Calculator, Network Monitor (Ping, Traceroute), and a multi-threaded Port Scanner. Security Toolkit: Look up CVEs from the NIST database, check password strength, and calculate file hashes (MD5, SHA1, SHA256, SHA512). Rich-Text Notepad: Keep notes and reminders in a dockable widget with formatting tools and auto-save. Customizable UI: Switch between a sleek dark theme and a clean light theme. Customize terminal colors and fonts to your liking. Extras Brian: Where are the cool kids hosting static sites these days? Moving from Netlify to Cloudflare Pages - Will Vincent from Feb 2024 Traffic is a concern now for even low-ish traffic sites since so many bots are out there Netlify free plan is less than 30 GB/mo allowed (grandfathered plans are 100 GB/mo) GH Pages have a soft limit of 100 GB/mo Cloudflare pages says unlimited Michael: PyCon Brazil needs some help with reduced funding from the PSF Get a ticket to donate for a student to attend (at the button of the buy ticket checkout dialog) I upgraded to macOS Tahoe Loving it so far. Only issue I've seen so far has been with alt-tab for macOS Joke: Hiring in 2025 vs 2021 2021: “Do you have an in-house kombucha sommelier?” “Let's talk about pets, are you donkey-friendly?”, “Oh you think this is a joke?” 2025: “Round 8/7” “Out of 12,000 resumes, the AI picked yours” “Binary tree? Build me a foundational model!” “Healthcare? What, you want to live forever?”

Make way for the next wave of GenAI..... Agentic AI Browsers. And while we've seen rumors that OpenAI is going all-in on an AI browser, the first big player is already here in Perplexity's Comet Browser. Join us as we break down how Perplexity Comet works, what makes it different, and 5 Business Use-Cases for ROI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn :Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Rise of Agentic AI Browsers ExplainedPerplexity Comet's Hybrid AI ArchitectureLocal vs. Virtual Browser Agentic WorkflowsPerplexity Comet Key Features and AccessConnecting Google Services with Comet BrowserAgentic AI Browser Live Demo Use CasesMulti-Platform Personalized Business ResearchAutomated Market Research and Competitive AnalysisPerplexity Comet Cross-Tool Workflow AutomationAgentic AI Browsers vs. Traditional AI ChatbotsTimestamps:00:00 Everyday AI for Business Pros04:56 Agentic AI Browsers Revolutionizing Tech07:49 Advancements in AI Computer Agents09:55 Comet: Chromium-Based Browser Essentials14:43 Streamlining Tasks with Perplexity Integration19:01 AI-Powered Google Drive Personalization21:24 Square: Trusted Business Payment Solutions25:53 Preparing Keynote on Agentic AI29:59 Agentic AI: Revolutionizing Web Browsers31:56 "Agentic AI to Revolutionize Workflows"34:46 Streamlined Scheduling and Market AnalysisKeywords:Perplexity Comet, agentic AI browser, agentic AI, AI browser, business use cases, ROI, Perplexity app, hybrid AI, cloud AI, on-device AI, Comet browser, Chromium, browser automation, multi-platform research, deep research modes, AI desktop assistant, iOS assistant, Google Chrome, browser workflows, Chrome extensions, Microsoft Edge, computer using agents, virtual browser, computer vision, connector integration, Gmail integration, Google Drive integration, calendar management, task automation, prompt engineering, personalized research, market research, competitive analysis, social media automation, email management, calendar automation,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)Ready for ROI on GenAI? Go to youreverydayai.com/partner Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner