Podcasts about genai

Et si l'IA au travail n'était pas tant là pour vous aider… quer pour mieux vous contrôler ?

We all know AI is a challenge that most of us look at with fear and trepidation. Mike Wright, co-writer of The 14 Behaviors Driving Successful Digital Transformation in the Age of Gen AI, joins Emmet Oliver to look at some behaviors that might help us succeed.

ChatGPT Agents and Atlas have taken all the spotlight.

Astasia Myers, General Partner at Felicis, breaks down how venture capital is betting on AI and why over 80% of their recent investments are in this space. But this isn't just another “AI is the future” conversation. We dig into the real ROI happening right now in healthcare voice agents, why MIT says 95% of GenAI projects fail to reach production, and what needs to happen for that number to flip. If you're building, investing, or just trying to understand where enterprise AI is actually working (not just hyped), this episode cuts through the noise.What You'll LearnThe labor replacement opportunity: Why outcome-based AI solutions are targeting the $35 trillion labor market instead of just software budgets and how that changes everything for startups and investors.Voice AI's healthcare breakthrough: How voice agents are finally solving the operational bottlenecks in patient scheduling and communication, driving 24/7 availability with better NPS than human operators.Why 95% of GenAI projects still fail: The technical and infrastructure gaps that prevent most AI initiatives from making it to production and what's needed to fix that in 2026.The new technical risk era: After years of focusing purely on market risk, VCs are back to evaluating deep technical challenges in agentic systems, browser automation, and continuous learning loops.The exceptionalism filter: How early-stage investors are separating signal from noise when everyone can spin up an AI startup and why founder insights and lived experience matter more than ever.Timestamped Highlights00:31 – What Felicis invests in and the types of AI companies dominating their portfolio right now02:58 – Why healthcare tech is finally ready for its AI moment after years of long sales cycles and unclear ROI08:15 – How outcome-based pricing is changing the VC evaluation playbook and unlocking 10x larger TAMs13:26 – The mythical one-person billion-dollar company: Is it real, and how would investors even spot it?17:18 – Voice AI as the gateway for enterprise adoption and why this modality is different from Siri and Alexa20:08 – Democratizing AI: What ChatGPT did for consumers and what needs to happen for enterprise buildersOne Thing Worth Remembering“These technologies can price towards the labor replacement markets, which is about 10x the size of the software market itself. The ROI right now is so tangible that it is a time to invest.”Subscribe and Stay in the LoopIf this episode gave you a new angle on where AI is actually delivering value, share it with a founder or investor who needs to hear it. Subscribe so you don't miss the next conversation, and drop a comment if there's a topic or guest you want us to tackle next.

The Atlas browser by OpenAI changes how users interact with the web. It's built for intelligent assistance, content understanding, and speed. This guide walks you through how to use it effectively.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

OpenAI presenta ChatGPT Atlas, il suo primo browser AI-first con capacità agentiche, pensato per leggere, pianificare e agire sul web. Ma dietro l'hype si apre una domanda più grande: quanto siamo davvero vicini all'intelligenza generale artificiale?Uno studio sperimentale, LLM Brain Rot, mostra che i modelli linguistici possono letteralmente “degradarsi” se esposti troppo a contenuti junk: perdono capacità di ragionamento, memoria di contesto e stabilità.E infine Andrej Karpathy — ex Tesla e OpenAI — mette tutto in prospettiva: non è l'anno degli agenti, ma il decennio in cui dovremo imparare a costruirli davvero.L'AI non esploderà da un giorno all'altro: crescerà lentamente, tra bug cognitivi, nuovi framework e una buona dose di umiltà.E a proposito di fare le cose bene: abbiamo rilasciato da poco Datapizza AI, il nostro framework open-source per la GenAI, e da lunedì scorso è su Product Hunt.Provalo, sperimenta, raccontaci cosa ne pensi: il tuo feedback ci aiuta a migliorarlo!GitHub → https://bit.ly/48ELY0O****Per altri contenuti sul mondo Tech, Data & AI, seguici sui nostri canali!

OpenAI has just released Atlas, a powerful new AI-driven browser. It's designed to combine intelligent search, productivity, and creative exploration. Here's a breakdown of how to start using Atlas and what makes it unique.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

In an AI push, Amazon has already axed 14,000 jobs and that total is reportedly going to hit 30,000.

Technology can scale almost everything—except human experience. In a world driven by efficiency, what does it mean to design for how people truly feel? It's about transforming user interactions into ongoing insight and innovation, rooted in empathy and understanding.  This week, Dave, Esmee and Rob talk to Kevin Magee, Chief Technology Officer at All human about helping organizations transform customer experiences with a focus on design, engineering, and what is called "digital performance."  TLDR:00:41 Introduction of Kevin Magee with Guinness or sparkling water?03:23 Rob wonders, is Apple really opening up its ecosystem?11:40 Deep dive with Kevin into design, engineering, and digital performance36:30 How tools built for one purpose can transform entire systems48:35 Weekend city breaks and pursuing a master's in psychology  GuestKevin Magee: https://www.linkedin.com/in/kevinmagee/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

In this episode of AI Answers, Paul Roetzer and Cathy McPhillips answer the complex, and often uncomfortable questions shaping the future of AI. From the moral framing of “good” versus “evil,” to the technical risks of viruses, misinformation, and intellectual property, the discussion unpacks what it really means to use AI responsibly in a world moving faster than regulation or understanding. Along the way, Paul and Cathy discuss fact-checking AI, the emerging need to authenticate synthetic content, and keeping a human-centered role in creation and communication.   Show Notes: Access the show notes and show links here Timestamps: 00:00:00 — Intro 00:04:31 — Is AI good or evil? 00:08:51 — Is AI a vector for viruses or trojans? 00:11:13 — If we're using AI information, can we be sued if AI is pulling intellectual property? 00:13:10 — Is there one AI company that's more ethical than others? 00:16:10 — Someone told me to add a prompt to ‘exclude hallucinations' to avoid problems. Is that accurate? 00:18:03 — Is it helpful to use one AI tool to fact-check another?  00:20:08 — Will there ever be a way to definitively identify AI-created videos?  00:23:39 — Where do you decide where the human stays front-facing, like the podcast or webinars?  00:29:18 — What books do you recommend reading to learn more about Gen AI?  00:30:52 — My organization is focused on what not to do with AI. But I think we should also communicate what to do. What do you think about that balance? 00:34:18 — As a Director of Learning and Development, who's doing AI in L&D right? 00:36:47 — Is there an AI concept for retirees that can help manage issues like healthcare decisions or transfer of wealth? 00:41:51 — It's estimated Spotify has 100 million songs, and 75 million are AI-generated. Should Spotify and other streaming platforms flag this content as AI? 00:46:47 —  Do you have any moments from 2025 that you want to, that you've been thinking about over the past few weeks?   This episode is brought to you by Google Cloud:  Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Learn more about Google Cloud here: https://cloud.google.com/   Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

Et si l'intelligence artificielle n'était que le joli glaçage d'un gâteau finalement indigeste ?L'IA nous semble fluide, intuitive, bluffante. Mais sous cette "couche sucrée" se cache un "mille-feuille" technlogique bien plus complexe… et destructeur.C'est une technologie addictive, extractiviste, et financiarisée que décrit Ophélie Coelho dans cet extrait de notre Trench Tech - All Star.Écoutez l'épisode complet : "ALL STAR n°3 - L'onde de choc IA" ou tapez directement "Trench Tech Ophélie Coelho" dans votre plateforme de podcast

One small but fatal flaw of most LLMs?

While most companies are still trying to measure the impact of their AI deployments, a growing number are already seeing returns. In today's AI Daily Brief, NLW looks at new data showing where GenAI is ROI-positive — from marketing and media generation to enterprise productivity gains. Plus, updates on Amazon's latest layoffs, Anthropic's new Claude for Excel agent, and Qualcomm's push into AI inference chips.Brought to you by:KPMG – 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/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠Blitzy.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/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The 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? sponsors@aidailybrief.ai

AWS's Daniele Stroppa, Worldwide Technical Lead for AWS Partners in Retail, joins Omni Talk to announce October's Retail Tech Startup of the Month: Writer. Daniele breaks down why Writer's full-stack generative AI platform is transforming how retailers and brands automate processes and generate content across their organizations. From their proprietary large language models to pre-built retail-specific agents, Writer offers a specialized solution that accelerates time to production.

Soham Mazumdar, CEO and Co-Founder of WisdomAI, discusses how organizations can break free from the "drowning in data but starving for insights" paradox that plagues modern enterprises. We explore his journey from Google's TeraGoogle project to co-founding and scaling Rubrik through its $5.6 billion IPO, and why he left that success to build an agentic AI approach to Business Intelligence (BI) that transforms how businesses extract value from their data investments.SHOW: 971SHOW TRANSCRIPT: The Cloudcast #963 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WisdomAI websiteTopic 1 - Welcome to the show, Soham. We overlapped briefly at Rubrik. Give everyone a quick introduction and tell everyone a bit about your time at Google prior to RubrikTopic 2 - You helped scale Rubrik from inception to a $5.6 billion IPO in 2024. What was the "aha moment" that made you leave that success to tackle the enterprise data analytics problem with WisdomAI?Topic 3 - Let's define the core problem. Organizations invest heavily in modern data platforms - Snowflake, Databricks, etc. - but there is the term "drowning in data but starving for insights." What's broken in the traditional BI stack that prevents business users from getting answers?Topic 4 - How do agentic AI and BI fit together? WisdomAI introduces the concept of "Knowledge Fabric" and agentic data insights. Break this down for us - how does this fundamentally differ from traditional dashboards and BI tools?Topic 5 - One of the biggest challenges with GenAI in enterprise settings is hallucination. You've emphasized that WisdomAI separates GenAI from answer generation. How does your approach tackle this critical trust issue?Topic 6 - Let's talk about data integration complexity. Your platform works with both structured and unstructured data - Snowflake, BigQuery, Redshift, but also Excel, PDFs, PowerPoints. How do you handle this "dirty" data reality that most enterprises face?Topic 6a - With so much data, how do most organizations get started? What's a typical use case for adoption?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Sustained AI innovation thrives when businesses invest time, tools, and support to empower experimentation—transforming curiosity into scalable impact and positioning organizations to lead in an evolving, Gen AI–driven future. That's the key take-away message of this episode of the Wise Decision Maker Show, which describes how resources ignite Gen AI innovation.This article forms the basis for this episode: https://disasteravoidanceexperts.com/resources-ignite-gen-ai-innovation/

Iain Thomas is a poet, author, and the Chief Innovation Officer at Sounds Fun—an advertising and creative agency that he co-founded with the belief that human creativity could be enhanced, rather than diminished, with the help of AI. It's a realization that actually began to dawn on Iain a few years prior, after his mother died. He wasn't sure how to explain death to his children, so he turned to an early version of ChatGPT for help—and was so impressed by the poetry of its responses that he came away convinced of AI's immense potential as a thought partner for his creative work. On this episode, Iain talks about using AI to make more space for the creative parts of your work, and why, in a world where everyone has access to the same tools, it's never been more important to lean into the skills, context, and experiences that make each of us most unique—and most human.Learn more about Sounds Fun soundsfun.co~ ~ ~Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dashYou can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!

Alex and Amy discuss findings from the 2025 State CIO Survey on how states use and governance of generative artificial intelligence has evolved since the 2024 survey. 

In episode 159 of Cybersecurity Where You Are, Sean Atkinson is joined by Joshua Palsgraf, Sr. Cyber Threat Intelligence Analyst at the Center for Internet Security® (CIS®), and Randy Rose, Vice President of Security Operations & Intelligence at CIS. Together, they dive into the scariest malware of 2025 in this special Halloween edition.The conversation explores what makes today's malware truly terrifying, from stealthy threats that hide in plain sight to modular malware that evolves faster than defenses can adapt. The trio also discusses the corporatization of cybercrime, the rise of Malware as a Service, and how generative artificial intelligence (GenAI) is lowering the barrier to entry for cybercriminals.Here are some highlights from our episode:00:42. Introductions to Josh and Randy02:21. What makes the scariest malware of 2025 truly "scary"05:42. Evolution of malware: people, process, and technology09:33. How the corporatization of malware helps to democratize cybercrime11:25. The most "terrifying" malware strains of 202515:49. Malware reincarnation: Old threats with new masks17:20. GenAI as the great equalizer for cybercriminals, especially social engineers23:32. Defense-in-depth and threat-informed strategies24:45. Why incident response playbooks must evolve and become living documents27:02. What incident response looks like for cloud assets in the Fourth Industrial Revolution29:27. Naming malware after horror movie iconsResourcesMulti-State Information Sharing and Analysis Center®Episode 144: Carrying on the MS-ISAC's Character and CultureEpisode 126: A Day in the Life of a CTI AnalystA Short Guide for Spotting Phishing AttemptsThe CIS Security Operations Center (SOC): The Key to Growing Your SLTT's Cyber MaturityEpisode 157: How a Modern, Mission-Driven CIRT OperatesLiving Off the Land: Scheduled TasksCyber defenders sound the alarm as F5 hack exposes broad risksEpisode 134: How GenAI Lowers Bar for Cyber Threat ActorsActive Lumma Stealer Campaign Impacting U.S. SLTTsMS-ISAC Member-Reported Phishing Likely from Tycoon2FA PhaaSClickFix: An Adaptive Social Engineering TechniqueTop 10 Malware Q1 2025CTAs Leveraging Fake Browser Updates in Malware CampaignsItalian police freeze cash from AI-voice scam that targeted business leadersCornCon Cybersecurity ConferenceIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.

This episode features Mike Sarasti, former Chief Innovation Officer and Director of Innovation and Technology in Miami and a leading advocate for government transformation, in conversation with host Stephen Goldsmith. They unpack how GenAI and rapid process mapping are revolutionizing public sector efficiency, not by shaving seconds off legacy workflows, but by making space for human creativity and curiosity. Mike shares real-world examples and explains how city leaders can democratize AI tools and clear bureaucratic tedium while guarding against hype and automation overreach.Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter. 

In this episode, I sit down with Schunk CTO Timo Gessmann and Google DeepMind's Phillip Lippe to explore how AI is transforming the world of robotics and industrial automation. We kick things off with Timo, who shares his vision for merging mechanical expertise with AI, the challenges of attracting top talent, and why Europe needs its own world-class robotics models. Then, I'm joined by Phillip Lippe from the Gemini team, who dives into the latest advances in generative AI, the power of foundation models, and what the future holds for scalable, domain-specific intelligence. Whether you're fascinated by embodied AI, curious about industry trends, or want a peek into the minds shaping tomorrow's robots, this episode is packed with insights you won't want to miss.

Open Finance braucht Daten - ebenso wie Künstliche Intelligenz, deren Entwicklung rasant voranschreitet. Wie bereiten Banken sich auf KI-Anwendungen vor, die künftig stark auf Open-Finance-Daten basieren könnten? Welche Grundlagen müssen dafür geschaffen werden? Und wie sieht das ideale Zusammenspiel zwischen KI und Open Finance aus, wenn wir uns etwas wünschen könnten? Diese Fragen diskutieren Joris Hensen (Deutsche Bank), Patrick Henrich (Commerzbank) und Kai Wirthwein (First Financial) mit Prof. Dr. Silke Finken (International School of Management) und Ute Kolck (Bank-Verlag).

ChatGPT ads are coming.

Video version of this episode is here TakeawaysAgentic AI is set to revolutionize retail by enabling seamless transactions within chat interfaces.The integration of AI in shopping is becoming more prevalent, with major retailers like Etsy and Shopify leading the way.Consumer trust in AI-driven shopping experiences is crucial for widespread adoption.The future of shopping will likely involve personalized agents that cater to individual preferences and needs.AI can enhance the shopping experience by providing tailored recommendations and price comparisons.Drones and advanced delivery systems are emerging as viable options for last-mile logistics.The distinction between GenAI and agentic AI is significant, with the latter capable of executing actions based on user input.Retailers may need to adapt their strategies as AI changes consumer behavior and expectations.The upcoming holiday season is expected to see a surge in agentic shopping as consumers seek value and convenience.Trust and security will be paramount as consumers share personal information with AI shopping agents. Chapters00:00 The Rise of Agentic AI in Commerce03:39 Consumer Behavior and AI Shopping Dynamics05:43 Retailer Integration and Market Competition08:21 Logistics and Delivery Innovations11:05 Understanding Agentic AI vs. GenAI13:27 Personal Shopping Agents and Future Trends16:00 The Role of IoT in Shopping18:11 Dynamic Pricing and Consumer Trust20:54 The Future of Shopping and Consumer Experience

En 2014, une étude interne a testé la « contagion émotionnelle » sur 700 000 utilisateurs… sans les prévenir.Un scandale éthique retentissant qui interroge encore notre rapport aux plateformes numériques.La tech entre les lignes, la chronique qui décrypte les articles tech, animée par Louis de Diesbach.   ***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

Guest: Monzy Merza, co-founder and CEO at Crogl Topics: We often hear about the aspirational idea of an "IronMan suit" for the SOC—a system that empowers analysts to be faster and more effective. What does this ideal future of security operations look like from your perspective, and what are the primary obstacles preventing SOCs from achieving it today? You've also raised a metaphor of AI in the SOC as a "Dr. Jekyll and Mr. Hyde" situation. Could you walk us through what you see as the "Jekyll"—the noble, beneficial promise of AI—and what are the factors that can turn it into the dangerous "Mr. Hyde"? Let's drill down into the heart of the "Mr. Hyde" problem: the data. Many believe that AI can fix a team's messy data, but you've noted that "it's all about the data, duh." What's the story? "AI ready SOC" - What is the foundational work a SOC needs to do to ensure their data is AI-ready, and what happens when they skip this step? And is there anything we can do to use AI to help with this foundational problem? How do we measure progress towards AI SOC? What gets better at what time? How would we know? What SOC metrics will show improvement? Will anything get worse? Resources: EP242 The AI SOC: Is This The Automation We've Been Waiting For? EP170 Redefining Security Operations: Practical Applications of GenAI in the SOC EP227 AI-Native MDR: Betting on the Future of Security Operations? EP236 Accelerated SIEM Journey: A SOC Leader's Playbook for Modernization and AI EP238 Google Lessons for Using AI Agents for Securing Our Enterprise "Simple to Ask: Is Your SOC AI Ready? Not Simple to Answer!" blog Nassim Taleb "Antifragile" book "AI Superpowers" book "Attention Is All You Need" paper

Даже если вы пишете идеальный код, это не значит, что ваш продукт в безопасности. Уязвимости может притащить кто-то другой – начиная от open source библиотек, и заканчивая уязвимостями в компиляторах, CI и VCS системах. Как научиться защищать не только код, вышедший из под ваших рук, но и всю цепочку поставки, нам рассказал Алексей Смирнов, основатель платформы CodeScoring. Партнёр команды Podlodka — наши давние друзья @AvitoTech. Это команда с крутыми процессами, культурой здравого смысла и эксперимента. Узнать про их технологии, подходы и прокачку компетенций в командах можно по ссылкам: — LLM против хаоса: как я автоматизировал ревизию прав доступа в админке Авито https://clc.to/RVjkQw — LLM в кибербезопасности https://clc.to/mvLjSA Реклама. ООО "Авито Тех”, ИНН 9710089440, erid:2SDnjdq5TKm Также ждем вас, ваши лайки, репосты и комменты в мессенджерах и соцсетях!
 Telegram-чат: https://t.me/podlodka Telegram-канал: https://t.me/podlodkanews Страница в Facebook: www.facebook.com/podlodkacast/ Twitter-аккаунт: https://twitter.com/PodcastPodlodka Ведущие в выпуске: Евгений Кателла, Егор Толстой Полезные ссылки: Supply-chain Levels for Software Artifacts, or SLSA https://slsa.dev/ Shai-Hulud npm vulnerability https://www.truesec.com/hub/blog/500-npm-packages-compromised-in-ongoing-supply-chain-attack-shai-hulud Таксономия атак на цепочку поставки ПО https://vkvideo.ru/video-229013285_456239031 AI-Enhanced DevTools & DevOps https://vkvideo.ru/video-22522055_456245659?t=2h34m17s Исследования от Luntry https://luntry.ru/research Исследование уязвимостей GenAI от Veracode https://www.veracode.com/wp-content/uploads/2025_GenAI_Code_Security_Report_Final.pdf О черве Shai-Hulud https://securelist.ru/shai-hulud-worm-infects-500-npm-packages-in-a-supply-chain-attack/113533/ Метод-фреймворк защиты цепочки поставки SLSA https://slsa.dev/ Доклад "Таксономия атак на цепочку поставки ПО" https://vkvideo.ru/video-229013285_456239031 Доклад "Безопасная разработка в эпоху GenAI" https://vkvideo.ru/video-229013285_456239040 Другие доклады про безопасность использования Open Source https://youtube.com/@codescoring https://vkvideo.ru/@codescoring Платформа безопасной разработки CodeScoring https://codescoring.ru/ Книга "Прозрачное программное обеспечение: Безопасность цепочек поставок ПО" https://www.piter.com/product/prozrachnoe-programmnoe-obespechenie-bezopasnost-tsepochek-postavok-po

The 2025 Legal Trends Report is here—fresh with the latest insights into genAI, billing strategies, marketing tactics, client experience, and so much more. Adriana Linares and Ernie “The Attorney” Svenson sit down with Joshua Lenon, Lawyer in Residence at Clio, to gain a deeper perspective on the major findings in this year's report. They discuss statistical shifts in legal practice data and consider both the inefficiencies and new possibilities revealed for lawyers and law firms. Clio's full 2025 report is available now—completely free for all attorneys: Legal Trends Report | Data-Driven Insights for Law Firms | Clio Learn more about your ad choices. Visit megaphone.fm/adchoices

Pixability Chief Product Officer Jackie Paulino joins Ari Paparo to discuss how their new AI agent, Pixie, is revolutionizing YouTube ad curation. Discover how Pixability combines data, agentic AI, and human insight to enhance performance, ensure brand safety, and navigate the world of AI-generated video content. Takeaways Pixability introduces Pixie, its first agentic AI tool for YouTube ad curation. Pixie moves beyond GenAI by making decisions and taking actions. Data from years of YouTube experience drives Pixability's advantage. AI handles 80% of the work, leaving creativity to humans. AI-generated video brings new brand safety and copyright risks. YouTube Shorts are fully integrated into the wider ad ecosystem. Advertisers seek both performance and transparency. Pixability's main challenge is keeping pace with rapid AI and platform changes. Pixie's evolution reflects the blend of automation, data, and human input. Pixability's “elephant” spirit symbolizes intelligence, memory, and teamwork. Chapters 00:01 Welcome to Marketecture with Jackie Paulino of Pixability 01:16 What Pixability Does and the Launch of Pixie 03:41 How Pixie Uses Agentic AI for YouTube Curation 05:44 Manual vs. AI Workflow and the 80/20 Adoption Rule 07:56 Pixie's Personality and Expanding Into Reporting 08:34 The Impact of AI on Video Creation and Brand Safety 15:48 Lightning Round and Closing: Data, Challenges, and “Pixie the Elephant” Learn more about your ad choices. Visit megaphone.fm/adchoices

What if AI could address the most persistent challenges in the industry? In this episode of AI at Scale podcast Malini Nambiar, Digital Customer Innovation Director for AI Applications at Schneider Electric, tells the story of how customer insights helped develop a GenAI assistant that solves some of the most pressing pain points of industrial companies: talent gap, long learning curves,  legacy programming languages and time-consuming code customization. The solution: Industrial Copilot for PLC. Built on Schneider Electric's trusted PLC libraries, it helps developers generate robust, working code—fast.  

This interview with Spectacles Community Manager Jesse McCulloch kicks off my coverage of Snap's Developer Conference called Lensfest. Snap is gearing up for a consumer release of their Snap Specs AR glasses some time next year, and they've been busy frequently updating their underlying operating system and platform tools like Lens Studio. There were no new announcements or reveals about the details of the Snap Specs that have been shared yet, but I did cover the biggest announcements at Lensfest throughout this series and in this interview with McCulloch. I also had a chance to interview five different Snap employees exploring different aspects of their AR strategy, and I also interviewed some AR developers in from the Snap ecosystem. Snap brought me down to also cover the 25-hour Lensathon, and I had a chance to be a judge for the 10 different Spectacles-based hackathon projects, and so I'll be featuring the top 3 finalists in the series. I also interviewed the AR game developers from DB Creations, as well as the latest AI assistant, guided tour demo from Niantic Spatial. Here is a list of the 11 episodes and nearly 7 hours of coverage from Snap's Lensfest: #1667: Kickoff of Snap Lensfest 2025 Coverage & SnapOS 2.0 Announcements #1668: Snap Co-Founders Community Q&A about Specs 2026 Launch Plan #1669: Snap's Resh Sidhu on the Future of AR Commerce & Developer-Centered Innovation #1670: Snapchat's Embodied Gaming Innovations with AR Developer Relations Head #1671: Reflecting on Snap's AR Platform & Developer Tools Past and Future with Terek Judi #1672: Niantic Spatial's Project Jade Demo Shows Latest Location-Aware, AI Tour Guide Innovations #1673: Snap Lensfest Announcement Reflections from AR Gaming Studio DB Creations #1674: 3rd Place Spectacles Lensathon Team: Fireside Tales Collaborative Storytelling with GenAI #1675: 2nd Place Spectacles Lensathon Team: CartDB Barcode-Scanning Nutrition App #1676: 1st Place Spectacles Lensathon Team: Decisionator Object-Detection AI Decision-Maker #1677: Snap's AR Developer Relations Plan for 2026 Specs Consumer Launch with Joe Darko This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

I did an interview with Joe Darko, Global Head of Developer Relations at Snap, at Snap's Developer Conference of Lensfest. See more context in the rough transcript below. You can also check out all 11 episodes in this Snap Lensfest series here: #1667: Kickoff of Snap Lensfest 2025 Coverage & SnapOS 2.0 Announcements #1668: Snap Co-Founders Community Q&A about Specs 2026 Launch Plan #1669: Snap's Resh Sidhu on the Future of AR Commerce & Developer-Centered Innovation #1670: Snapchat's Embodied Gaming Innovations with AR Developer Relations Head #1671: Reflecting on Snap's AR Platform & Developer Tools Past and Future with Terek Judi #1672: Niantic Spatial's Project Jade Demo Shows Latest Location-Aware, AI Tour Guide Innovations #1673: Snap Lensfest Announcement Reflections from AR Gaming Studio DB Creations #1674: 3rd Place Spectacles Lensathon Team: Fireside Tales Collaborative Storytelling with GenAI #1675: 2nd Place Spectacles Lensathon Team: CartDB Barcode-Scanning Nutrition App #1676: 1st Place Spectacles Lensathon Team: Decisionator Object-Detection AI Decision-Maker #1677: Snap's AR Developer Relations Plan for 2026 Specs Consumer Launch with Joe Darko This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

At Snap's Developer Conference of Lensfest, I did an interview with 3rd place team in the Snap Spectacles Lensathon named Fireside Tales including Stijn Spanhove, Pavlo Tkachenko, and Yegor Ryabtsov. See more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Et si l'IA ne réconciliait pas le public avec l'information, mais achevait de le faire fuir ?Avant même ChatGPT, les journalistes étaient parmi les professions les plus détestées de France. Désormais, l'IA accélère la méfiance, la fatigue informationnelle, et pousse à l'exode médiatique.C'est ce que dénonce François Saltiel dans cet extrait percutant, enregistré en public lors de l'événement Trench Tech - All Star.L'IA amplifierait les mécanismes de désinformation, en rendant encore plus difficile le lien entre médias et citoyens.Écoutez l'épisode complet : "ALL STAR n°3 - L'onde de choc IA"ou tapez directement "Trench Tech François Saltiel" dans votre plateforme de podcast

En este especial de nuestro podcast hemos recopilado unas cuantas versiones sobre algunos de los temas más conocidos de la banda Toto, a cargo de artistas como Tim Bowman, David Garfield, Nils, Phil Upchurch, Tosrten Goods, Larry Coryell, Page 99, Ely Bruna, Jay Graydon, The Soultrend Orchestra, Genai y Eric Benét & Faith Evans.

Flexible work will thrive through empowerment, not office layouts. DIY AI—where employees build their own tools—turns flexibility into performance, boosting productivity, balance, and innovation across distributed teams. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how DIY AI unlocks productivity and flexibility.This article forms the basis for this episode: https://disasteravoidanceexperts.com/how-diy-ai-unlocks-productivity-and-flexibility/

Austin Lyons analyzes one of the five Mag 7 companies reporting earnings next week: Alphabet (GOOGL). He believes the company needs to prove generative A.I. is a benefit to its business instead of a threat as Google search and cloud revenue show formidable growth. Austin also notes interesting A.I. opportunities for Alphabet's YouTube platform. Alex Coffey offers a pair of example options trades for the Mag 7 stock.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

It's a product review episode! We take a look at the new Google NotebookLM AI studio that tries to help people synthesize data sources into digestible materials like videos, podcasts, flashcards, and more. But the conversation quickly (and unsurprisingly) devolves into a debate over whether humans need to remain in the loop with tools like this and how the current generation of GenAI seems to be attempting to replace us rather than help us. Join the discussion on Reddit: https://www.reddit.com/r/AcceptanceCriteria/ And on the Discord: https://discord.gg/2Tyj8H9MFF The post E059: Should Google NotebookLM Keep the Human in the Loop first appeared on Acceptance Criteria.

This week, we have two guests on the podcast. We're joined by Gene Flenady, Lecturer in Philosophy at Monash University, whose research concerns the structure and social conditions of human rational agency, including the implications of new technologies for meaningful work and tertiary pedagogy. Our second guest is Robert Sparrow, Professor of Philosophy at Monash University. His research interests include political philosophy and the ethics of science and technology with an eye towards real-world applications. Flenady and Sparrow argue that GenAI systems are "constitutively irresponsible" because their algorithms are designed to predict what "sounds good" - not necessarily what is true or contextually appropriate. Our guests suggest that it's unfair to expect learners themselves to determine when AI is wrong or misleading. Doing so puts students in an impossible position and gets in the way of building meaningful relationships with their human teachers and the pursuit of lifelong learning. Learn more about Drs. Flenady and Sparrow's work in their article: “Cut the bullshit: why GenAI systems are neither collaborators nor tutors”Other materials referenced in this episode include:Frankfurt, H. G. (2005). On bullshit. Princeton University Press.

Philip Brittan discusses ways to enhance decision making and operational performance, and how AI is reshaping enterprise knowledge. Bloomfire is GenAI platform that helps organizations surface critical information faster. We examine recent a recent application in healthcare and the benefits of unified ‘enterprise intelligence' across industries. Host, Kevin Craine Do you want to be a guest? https://DigitalTransformationPodast.net/guest Do you want to be a sponsor? https://DigitalTransformationPodcast.net/sponsor

The skills we teach today will decide the world we live in tomorrow but the digital skills gap is something we've been dealing with for decades, but it's growing faster than ever, it starts with kids and stretches all the way into late IT careers, and now we're finally taking a more connected, lifelong approach to closing it. This week, Dave, Esmee, and Rob speak with Mike Nayler, Director, National Security, Defense & Public Safety at AWS about the digital skills gap and explore how tech companies can help close it. TLDR:00:45 Introduction of Mike Nayler and the pros and cons of enterprise architects, based on a survey03:30 Rob is confused about AI replacing prompt engineers07:55 Conversation with Mike on the digital skills gap25:15 The real gap is between institutions and the people they aim to serve33:24 Mike heading back to school and writing essays againGuest Mike Nayler: https://www.linkedin.com/in/nayler/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini

In today's episode of Legal Marketing Minutes, I will show you one very easy way to repurpose and post content you have already created. I will also share recent conversations and comments I had this past week about artificial intelligence when it comes to lawyers, law firms, and the state of AI within the profession. If you are in a place where you can leave a comment, please do so, as I would love to hear from you. If not, feel free to email me at nancy@myrlandmarketing.com. Also, my website, where you can find all of my contact information, and my other podcast, Legal Marketing Moments, can be found at https://myrlandmarketing.com/podcasts/legalmarketingminutes.com Thanks for spending a few of your Legal Marketing Minutes with me!

Leaders are rushing into AI—but many treat it like another IT program. In this episode, Sam Burman, Global Managing Partner for Frontier Tech at Heidrick & Struggles, shares practical steps to activate AI without losing the human system at the heart of every organization. We cover why the CEO must be the sponsor (not the expert), how to align the exec team on investment, governance, adoption, and operating models, and when to build vs buy vs partner. We discuss the rise of the Chief AI Officer (strategist + storyteller), the power of tying AI to core strategic drivers, and why fast followers are winning by doing something now. Looking ahead—from enterprise GenAI adoption to AGI scenarios—boards will choose: multiply your people, or chase marginal gains. Top takeaways

This week's VentureFuel Visionary is Ben Colman, founder of Reality Defender. It is the leading deepfake detection platform helping enterprises flag fraudulent users and content. Additionally, its enterprise-grade API and web app detect dangerous AI-generated and manipulated content across audio, video, images, and text. In this episode, we dive deep into the world of AI, cybersecurity, and the innovative solutions being developed to protect our reality in an increasingly digital age. This is crucial in today's landscape where cyber threats are evolving rapidly, posing risks to individuals, businesses, and society as a whole!

Two Kevins are better than one on this week's That Tech Pod, as Kevin Albert and Laura sit down with Silicon Valley legend Kevin Surace, the inventor and entrepreneur, who helped shape everything from the first smartphone to the first digital assistant, decades before Siri or Alexa.Kevin S. shares stories from his time at General Magic, where he helped build Mary, the original voice-based AI assistant that could schedule meetings and manage calendars long before the world caught up. He explains how Moore's Law and modern compute power turned AI from a niche tool for programmers into something everyone can use. The conversation goes into what AI really is (spoiler: it's not intelligent, just really good at pattern matching) and whether tools like ChatGPT are helping us think faster or making us lazy. Kevin references an MIT report suggesting AI could dull our brains if we let it replace learning. but argues that if you use it to amplify your thinking, it can make you five or ten times more productive.We also talk about AI and creativity, from digital actors like Tilly to musicians and artists using technology to speed up their process without losing originality. And when it comes to cyber risk and control, Kevin stays optimistic: this, he says, is the best time in history to be alive and creating. We wrap with practical advice, don't stop at ChatGPT. Try Perplexity, Claude, and Gemini, and keep asking yourself: what can't I do better with GenAI? This is a must listen!Kevin Surace is a Silicon Valley innovator, serial entrepreneur, and self-described “futurist and AI disrupter.” Kevin has held leadership roles at companies including Appvance.ai, Serious Energy, Perfect Commerce, and General Magic, and earlier worked with tech pioneers like National Semiconductor, IBM, and Seiko-Epson—each chapter shaping his path as an inventor and Silicon Valley innovator. He has helped pioneer technologies that shaped the modern world, from the first smartphone and human-like AI assistants to soundproof drywall and energy-efficient building systems. With 93 worldwide patents and a track record that spans startups, sustainability, and AI, Kevin has been recognized as Inc. Magazine's Entrepreneur of the Year, a CNBC Innovator of the Decade, and a World Economic Forum Tech Pioneer. He's been featured on CNN, Forbes, Time, and Businessweek, and has keynoted events everywhere from TED to the U.S. Congress. He is known for blending deep technical insight with humor and storytelling. Outside of tech, he's also an accomplished music director and Broadway producer—proving that creativity, whether in code or composition, drives everything he does.

Lots of GenAI tools are starting out with "summarization" because it's an easy thing for GenAI to do, but was anyone asking for summaries in the first place?  In this podcast, the speakers discussed the value of summarization to discovery work and trial prep (relevance summaries, chronologies, translation summaries), while also highlighting the challenges we have encountered with GenAI in achieving good quality summaries. Moderator: Monique Sever, Litigation Support & eDiscovery Supervisor, Harper Grey LLP Speakers: Stu Craft, Managing Director, FTI Consulting  James MacGregor, Managing Director, Ethical Discovery

Join us, as we examine the murder of Genai Coleman, a teacher and mother who was gunned down in a shopping mall parking lot. You'll hear how detectives spent two years chasing a case that always seemed just out of reach. And how one piece of DNA gave them what looked like an ironclad case… until a twist so strange, it felt more like a dream than real life. How to support: For extra perks including exclusive content, early release, and ad-free episodes - Go to - Patreon How to connect: Website Instagram Facebook Twitter Please check out our sponsors and help support the podcast: Nutrafol - Start your hair growth journey with Nutrafol. For a limited time, Nutrafol is offering our listeners ten dollars off your first month's subscription and free shipping when you go to Nutrafol.com and enter the promo code MADNESS Live It Up - Live It Up is offering you 15% off your first order, including subscriptions, with code MADNESS. Plus shipping's always free. Head to Letsliveitup.com/MADNESS and use code MADNESS DailyLook - Head to DailyLook.com to take your style quiz and use code MADNESS for 50% off your first order Smalls - For a limited time only, get 60% off your first order PLUS free shipping when you head to Smalls.com/MADNESS Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madness Quince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns. Greenlight - Don't wait to teach your kids real-world money skills; start your risk-free Greenlight trial today at Greenlight.com/MADNESS CBDistillery - Right now you can save 25% off your entire purchase by going to CBDistillery.com and use promo code MADNESS Featured Podcast: Broken: The Black Dahlia Murder Research & Writing: Ryan Deininger Editing: Aiden Wolf Sources: Ronald & Donald Smith Interrogation Donald Interrogation 5 key details about Genai Coleman's murder DNA from Georgia woman's murder Identical DNA: Murder Has Georgia Police Seeing Double GBC News Story: Wrong Twin Twin convicted in Gwinnett killing first tied to brother Twin held in GA killing implicates brother True Crime Stories – DNA Evidence and Identical Twins Fingerprints Aid Case Involving Twins Listverse Police identify shooting victim The Atlanta Constitution Tue, Jul 22, 2008 ·Page J1 The Atlanta Constitution Wed, Jul 23, 2008 Rare Twin Murder Case Echoes Bizarre Fingerprint Origins When DNA test falls short, fingerprints point to guilty twin

AI hype is well over.

Jeetu Patel knows a few AI secrets. As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. And naturally, Jeetu is gonna share it all with us. The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn 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:Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords:AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprisesSend 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

You haven't used ChatGPT's Apps yet?