Podcasts about agentic

For episode 621 of the BlockHash Podcast, host Brandon Zemp is joined by Smitha Purohit, Senior Director of Crypto Product at PayPal to discuss how PayPal is positioning itself in the age of Stablecoins with PYUSD, their new product called Payment Links, the future of Agentic Ecommerce and the Fintech trends they see heading into 2026. ⏳ Timestamps: (0:00) Introduction(0:55) Who is Smitha Purohit?(2:36) PayPal at Money20/20(3:42) PYUSD and the rise of Stablecoins(8:56) Payment Links for P2P transactions(10:24) FinTech Trends in 2026(12:55) Agentic ecommerce(14:35) PayPal’s plans for 2026

Today's guest is Jim Johnson, President at AnswerRocket. Founded in 2013, AnswerRocket builds enterprise AI agents delivering measurable outcomes for Fortune 2000 clients across consumer goods, financial services, construction, real estate, and beyond. Johnson joins Emerj Editorial Director Matthew DeMello to discuss how consumer packaged goods companies can overcome data complexity and accelerate decision-making with emerging agentic AI capabilities. The conversation also examines how CPG teams can shorten analysis cycles, reduce dependence on manual reporting, and uncover new revenue opportunities by pairing existing human expertise with continuously learning AI agents. This episode is sponsored by AnswerRocket. Interested in putting your AI product in front of household names in the Fortune 500? Connect directly with enterprise leaders at market-leading companies. Emerj can position your brand where enterprise decision-makers turn for insight, research, and guidance. Visit emerj.com/sponsor.

A recent study from Carnegie Mellon University is titled "AI Agents Fail at Office Tasks Nearly 70% of the Time." Federal agencies are adopting Agentic AI for the efficiency it can deliver. Unfortunately, many do not realize that Agentic AI is prone to operational risks, ranging from technical glitches to legal complications to accidental database deletion. When Agentic AI causes problems at a federal agency, there can be lives at stake. Today, we sat down with Travis Rosiek, Rubrik's Public Sector Chief Technology Officer. During the interview, he explores the federal challenges of implementing Agentic AI, building an Agentic AI inventory, and making Agentic AI visible, auditable, and reversible. CHALLENGES Everyone —from a systems administrator to an agency administrator —knows that data must be backed up. However, very few understand that Agentic AI is a collection of agents that can be attacked, just like a database. Rubrik offers the capability to reassure users that Agentic AI can be reversed if malicious actors enter the picture. STARTING POINT Most cybersecurity professionals agree that one starts by understanding a system's apps, data, and connections. Five years ago, it was easy; getting a grasp on what Agentic AI connects to is a much more intangible concept. During the interview, Travis Rosiek unpacks Rubrik's history and its unique ability to understand complex systems. CAREFUL In a rather shocking statement, Rosiek says one should approach introducing technology with the assumption that it will fail. This is not a pessimistic approach, but a nuanced understanding of how complexities in current systems can lead to unintended consequences. Rosiek advises starting with the end goal in mind, planning for worst-case scenarios, and building trustworthy AI architectures to mitigate risks and ensure reliable operations.

The next evolution of commerce has arrived and it's powered by AI. In this episode of Marketing in the Madness, Jason Cottrell, Founder & CEO of Orium and incoming President of the MACH Alliance, joins live from the MACH X Conference in London to explore how agentic commerce and composable technology are transforming the way brands build, sell, and connect. From in-chat shopping on ChatGPT to the launch of new agentic protocols backed by OpenAI, Google, and Stripe, Jason breaks down how these technologies are reshaping the foundations of modern business. What you'll learn: How AI-driven platforms like ChatGPT, Gemini & Perplexity are changing customer journeys. Why the new ACP standard could redefine how we buy online. The growing impact of agentic ecosystems and interoperable AI agents. How composability enables faster innovation across global brands. And much more! Marketing in the Madness is the straight-talking podcast for marketing and digital leaders who want more - more growth, more clarity, and more impact. Hosted by Katie Street, it brings together bold brands, sharp thinkers, and next-gen voices from across the industry — from Estée Lauder to Vodafone, Contentful, Jägermeister, and beyond. Each episode cuts through the noise with real stories, honest insights, and ideas you can actually use. If you're serious about staying ahead of the shifts in AI, marketing, and tech - subscribe now!  

In Episode 96 of the Digital Velocity Podcast, Erik Martinez welcomes Alane Boyd, co-founder of BiggestGoal.ai, to explore how "agentic AI" is transforming the way businesses automate, scale, and innovate. As a serial entrepreneur and automation expert who has built and sold companies across marketing and technology, Alane has a clear mission: to make workdays easier and help teams focus on what truly drives growth. Alane breaks down what sets agentic AI apart from traditional automation or generative tools like ChatGPT. Instead of relying on constant prompts, these "skilled intern" systems can independently manage workflows—from content production and customer service to data management and training documentation. As Alane explains, "Automation only works when it's built on a process that's already clear and consistent." Throughout the conversation, Alane shares real-world examples of how companies are using AI agents to eliminate busywork and unlock strategic capacity. From podcast production to eCommerce customer support, businesses are freeing up their workload by embedding AI into repeatable tasks. She also explains why documenting processes manually before automating them is critical to avoid magnifying inefficiencies. Listeners will learn: • What "agentic AI" is and how it differs from generative AI tools • How to document and standardize processes before introducing automation • Practical examples of AI agents used in marketing, data, and operations workflows • The risks of data misuse in free AI tools—and how to maintain security through closed-loop systems • Why ongoing AI training and change management are now essential for every organization For all businesses, the message is especially clear: as competitors embrace automation, those who fail to evolve risk being left behind. Alane emphasizes that AI isn't about replacing people—it's about empowering teams to work smarter, reduce burnout, and focus on creative, revenue-driving work. Whether you're leading a marketing department, optimizing operations, or modernizing a service business, this episode provides a playbook for turning AI from a buzzword into a true business advantage.

“In this moment, the existential threat is the “do nothing” paradigm.” That little harbinger of potential doom is less depressing than you'd think - it's more of a representation of how quickly our topic, Agentic AI is beginning to hint at the promise of becoming a real growth channel if you get it right. And the speaker of that teeny, tiny, doomsaying, Natalija Pavic, Product Marketing Leader at KIBO Commerce, spends the rest of the pod on smart advice and practical ways to think about a path to take early advantage of this new era of commerce.

Today on our show:Walmart Holiday Plans Shows There Will Be BloodUPS Gains Margin, Plans Strong Peak, But Remains Mired in UncertaintyAmazon All In On Agentic - Reports Great EarningsShopify Merchants Go Live with ChatGPT Instant Checkout- 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 Rithum.https://www.rmwcommerce.com/ecommerce-podcast-watsonweeklyThis podcast uses the following third-party services for analysis: Podtrac - https://analytics.podtrac.com/privacy-policy-gdrp

 In this episode of the Practical 365 Podcast, Steve Goodman and Paul Robichaux discuss major Exchange updates – including the fallout from a recent AWS outage, Microsoft's new tools to finally remove your last on-premises Exchange server, the final patches for Exchange 2016/2019, and a new auto-archiving feature for Exchange Online. They also dive into the latest Microsoft 365 Copilot news: Copilot's upcoming memory & personalization upgrade, an experimental =COPILOT function in Excel, an AI-powered “Retry with AI” feature in Power Automate, and the concept of “Agentic Users” – AI agents that might soon work alongside humans in Teams. Want to stay up to date on all things Practical 365? Follow us on Twitter, Facebook, and Linkedin to stay up to date on all things Microsoft!

 In this eye-opening episode of UC Today, host David Dungay is joined by Paul Magnaghi, Zoom's Head of AI and ISV Go-To-Market, to unpack the real meaning of agentic AI—and why it's more than just a buzzword. As AI continues to reshape how we work, Paul shares how Zoom is positioning itself at the center of this evolution, empowering companies of all sizes to move faster, work smarter, and innovate with confidence. If you're wondering how to actually use AI (not just talk about it), this is a must-watch.Agentic AI is no longer on the horizon—it's here. But what does it really mean for your organization?In this expert-led interview, Zoom's Paul Magnaghi demystifies agentic AI and reveals how it's helping teams orchestrate workflows, act autonomously, and drive measurable ROI across departments—from IT to marketing.Key Takeaways:Defining agentic AI: Why reasoning, memory, orchestration, and action are the core pillars that separate agents from automation.Who needs it? Spoiler: Every business—from scrappy startups to sprawling enterprises—can benefit from agent-driven productivity.Real-world use cases: Discover how Zoom AI Companion automates webinar asset creation and turns meeting notes into live tickets (think: Jira as a meeting attendee).AI readiness: Why clean data, strong security policies, and cross-platform interoperability are non-negotiables in successful deployments.Zoom isn't just building smarter meetings—it's turning conversations into outcomes. 

Agentic AI is emerging as a significant force in the managed services sector, with the potential to automate up to 80% of routine tasks. Howard M. Cohen and Karl Palachuk, both seasoned experts in the IT partner ecosystem, discussed the current confusion among Managed Service Providers (MSPs) regarding the application and benefits of agentic AI. They emphasized the need for MSPs to understand the distinction between assistive and autonomous agents, as well as the importance of developing a clear strategy for integrating AI into their service offerings.Cohen highlighted the proliferation of misinformation surrounding AI, particularly at industry conferences, which has contributed to the uncertainty among MSPs. He has created a dedicated platform, Gentic MSP, to curate relevant AI news and insights specifically for MSPs. The conversation also touched on the necessity for MSPs to adapt their roles and workflows in response to AI advancements, with a focus on leveraging AI tools to enhance operational efficiency and client service.The episode also explored the historical context of automation in IT services, drawing parallels between the current AI landscape and the earlier adoption of cloud technologies. Palachuk noted that many IT consultants have not needed to develop deep automation skills due to the rise of cloud solutions, which may hinder their ability to capitalize on AI opportunities. Both experts agreed that MSPs must proactively build internal expertise in AI to remain competitive, rather than waiting for the market to mature.For MSPs and IT service leaders, the key takeaway is the urgency to embrace AI as a tool for enhancing service delivery and operational efficiency. By investing in training and developing partnerships with AI solution providers, MSPs can position themselves as forward-thinking solution providers rather than falling behind in a rapidly evolving landscape. The discussion underscores the importance of adapting to technological advancements to meet client needs effectively.

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How will agentic AI change the way we shop and reshape retailers' go-to-market strategies? AWS's David Dorf joins Bloomberg Intelligence analysts Poonam Goyal and Anurag Rana on this episode of the Tech Disruptors podcast to discuss intelligent agents' growing impact on retail. Dorf explains how these AI “interns” can reason, use tools, act autonomously and even collaborate, unlocking new possibilities across retail operations. From multi-agent pricing systems and associated task automation to smarter supply chains, retailers are already beginning to apply this next wave of AI. The conversation also explores shopper-facing shifts such as agent-led checkout; answer engines like Rufus, Perplexity, OpenAI and Google; and the ripple effects on advertising, loyalty and answer-engine optimization.

What happens when two industry veterans break down the biggest stories shaping wholesale distribution, AI adoption, and the global economy, live and unfiltered?In this episode, Kevin Brown and Tom Burton analyze everything from Fed rate cuts and tariffs to the rise of AI-driven commerce and the evolving role of leadership in an age of automation. Through their signature mix of insight and humor, they explore how distributors can stay resilient, data-smart, and human-centered amid rapid technological and economic change.What You'll Learn:Why AI-driven transformation is redefining productivity and workforce trustHow agentic commerce and AI-powered purchasing are disrupting e-commerce modelsThe real-world effects of rate cuts, tariffs, and government shutdowns on the wholesale channelWhy contextual intelligence and digital ecosystems are the new growth driversHow leaders can leverage AI and emotional intelligence to future-proof their organizationsEpisode Highlights:04:08 – A look at market sentiment in wholesale distribution heading into 202516:42 – What the Fed's latest rate cut means for lending, mortgages, and growth capital31:55 – The ripple effects of the ongoing government shutdown on supply chains46:30 – Trump's proposed tariff reset and its implications for import-dependent industries59:18 – How AI adoption is reshaping manufacturing and reducing burnout in operations01:10:05 – Agentic commerce and how PayPal is leading the charge in AI-driven transactions01:20:44 – Why distributors must rethink e-commerce or risk losing 25% of their market shareMeet the Hosts:Kevin Brown and Tom Burton are the co-founders of LeadSmart Technologies, creators of LeadSmart Channel Cloud™, an AI-powered CRM and customer intelligence platform built for distributors and manufacturers. Together, they bring over 40 years of experience in digital transformation, AI strategy, and industrial growth, translating complex trends into actionable insights for industry leaders.Tools, Frameworks, or Strategies Mentioned:LeadSmart Channel Cloud™ – AI-enabled CRM and Customer Intelligence platformAgentic Commerce – AI-driven transactional automation and conversational e-commerceContext Engineering – Framework for aligning AI and workflow intentHuman + Machine Collaboration Model – Integrating empathy and analytics for smarter teamsISA Leadership Academy – Developing adaptive, future-ready leaders across the supply chainClosing Insight:“AI isn't going to take your job; it's someone using AI that will.” — Kevin BrownFrom economic volatility to AI-enabled innovation, this episode challenges distribution leaders to rethink strategy, leverage intelligence, and lead through disruption.Leave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/ Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

On this episode of the Scouting For Growth podcast, Sabine VdL talks to Ulrich (Uli) Homann, Corporate Vice President, Microsoft, and Mark Luquire, EY Global Microsoft Alliance Co-innovation Leader, about how to build an agentic AI enterprise that doesn't just work faster, but works smarter and, most importantly, works for everyone. KEY TAKEAWAYS In the past automation has been very task driven and specific, things had to go in a certain order and you needed to know that order ahead of time. While you need some of that with generative AI, we now have a system that can help do some of that thinking, so if things change in the process along the way, you can deal with it. Now you can rethink what processes even need to exist and focus on the outcome and how to get to it in a new way.  By giving everyone at EY access to generative AI a couple of years ago we learned that people were able to accomplish more more quickly. They used it as a thought-partner, used it as a way to fine tune the product they were working on. Being able to see the evolution of generative AI to now where it's coding applications on its own almost, seeing the new agent capabilities and tools, and being able to take action on its own with very little prompting, it opens the doors to possibilities and what you'll be able to do in the future.  BEST MOMENTS  ‘Focus on where you want to be and then rethink how you're going to get there, that's the real key.' ‘It's not just an assistant to you, providing you with information, it's actually taking on work it's actually thinking through and processing those things as well.' ABOUT THE GUESTS Ulrich (Uli) Homann is a Corporate Vice President & Distinguished Architect in the Cloud + AI business at Microsoft. As part of the senior engineering leadership team, he's responsible for the customer-led innovation efforts across the cloud and enterprise platform portfolio. Previously Homann was the Chief Architect for Microsoft worldwide enterprise services, having formerly played a key role in the business' newly formed Platforms, Technology and Strategy Group. Prior to joining Microsoft in 1991, he worked for several small consulting companies, where he designed and developed distributed systems and has spent most of his career using well-defined applications and architectures to simplify and streamline the development of business applications. Mark Luquire leads the EY organization's global efforts to co-develop innovative solutions with Microsoft and clients, driving growth and accelerating technology strategy. He oversees cross-functional teams spanning sectors and service lines, serving as a key liaison to Microsoft's product and engineering teams. Previously, Mark headed Platform Adoption for EY Global, leading enterprise-wide AI and cloud enablement, including integrating generative AI tools like EYQ, GitHub Copilot and Microsoft Copilot. He also created the first EY Global DevOps Practice and led cloud transformation efforts, making EY a leader in Microsoft Azure usage. Mark's career includes leadership roles in large healthcare enterprises and technology startups, where he established scalable operations, spearheaded digital transformation, and built high-performing global teams. 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/

Adam Jacob joins us to discuss how agentic systems for building and managing infrastructure have fundamentally altered how he thinks about everything, including the last six years of his life. Along the way, he opines on the recent AWS outage, debates whether we're in an AI-induced bubble, quells any concerns of AGI and a robot uprising, eats some humble pie, and more.

As agentic AI becomes a defining force in enterprise innovation, infrastructure has moved from a back-office concern to the beating heart of business transformation. On today's episode of the 'AI in Business' podcast, Ranjan Sinha, IBM Fellow, Vice President, and Chief Technology Officer for watsonx and IBM Research, joins Emerj Editorial Director Matthew DeMello to discuss the future of scalable AI infrastructure — from neuromorphic and quantum processing to open-source AI platforms built for trust and governance. Ranjan explains how enterprises are transitioning from isolated experiments to mission-critical AI applications, revealing why today's Fortune 500 leaders must reimagine compute, governance, and data pipelines to sustain automation and reliability at scale. He details IBM's breakthroughs in specialized processors, including the NorthPole neuromorphic chip and the company's roadmap for fault-tolerant quantum computing by 2029. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show! Watch Matthew and Ranjan's conversation on our new YouTube Channel: youtube.com/@EmerjAIResearch.

Why will agentic AI redefine every digital interaction, and what foundation do enterprises need to make it safe, trusted, and real time? In this episode of Eye on AI, host Craig Smith sits down with Jeff Lunsford to unpack how a neutral customer data platform like Tealium becomes the control plane for agentic systems. We cover how to collect and unify first party data responsibly, enforce consent and identity across channels, and feed the right context to models so agents can act with confidence in the moment. You will hear how real time profiles, event streams, and deterministic identity power personalization, automation, and transactions across web, mobile, ads, email, and customer support. Learn how leading enterprises are preparing for agentic commerce that could double digital interactions, why governance and privacy must be embedded into delivery teams, and which standards enable safe transactions and payments with agents. You will also hear how to build an "agentic front door" for your business, design guardrails and spending allowances, choose where to run reasoning and inference, and measure impact with metrics like conversion rate, ROAS, CSAT, and cost per resolution. ​​Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI

Send us a textThe Causal Gap: Truly Responsible AI Needs to Understand the ConsequencesWhy do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality?In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning.In this episode, we discuss:- Zhijing's new work on the "causal scientist"- What's missing in responsible AI- Why ethics matter for agentic systems- Is causality a necessary element of moral reasoning?------------------------------------------------------------------------------------------------------Video version available on Youtube: https://youtu.be/Frb6eTW2ywkRecorded on Aug 18, 2025 in Tübingen, Germany.------------------------------------------------------------------------------------------------------About The GuestZhiijing Jin is a researcher scientist at Max Planck Institute for Intelligent Systems and an incoming Assistant Professor at the University of Toronto. Her work is focused on causality, natural language, and ethics, in particular in the context of large language models and multi-agent systems. Her work received multiple awards, including NeurIPS best paper award, and has been featured in CHIP Magazine, WIRED, and MIT News. She grew up in Shanghai. Currently she prepares to open her new research lab at the University of Toronto.Support the showCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4

Adam Jacob joins us to discuss how agentic systems for building and managing infrastructure have fundamentally altered how he thinks about everything, including the last six years of his life. Along the way, he opines on the recent AWS outage, debates whether we're in an AI-induced bubble, quells any concerns of AGI and a robot uprising, eats some humble pie, and more.

Join Daniel Saks, CEO & Co-Founder of Landbase, in conversation with Gary Fowler, as they explore how Agentic AI is revolutionizing the way companies generate demand, build relationships, and drive growth. Discover how the next evolution of AI — systems that act intelligently on our behalf — is reshaping go-to-market strategy and redefining the future of work.

In a series of podcasts taped live at 2025's Money 20/20 in Las Vegas, host Lou Carlozo brings you the latest from one of the premier financial services conferences in the world. Conference speaker Sophia Bantanidis, Head of Future of Finance at the Citi institute, walks us through two laser-sharp reports, "Real Time 24/7 Finance in an Always-On World" and "Agentic AI: Finance and the Do it for Me Economy." Sophia's observations add context and depth to two of the most discussed topics at Money 20/20.

Kemi Jona joins Ty Fujimura live at the ASU Agentic AI and the Student Experience event to explore the intersection of AI in higher education and workforce development. As the Vice Provost for Online Education and Digital Innovation at the University of Virginia, Jona shares real-world examples of how his team is deploying AI to boost access, streamline course production, and build stronger bridges between higher ed and employers. This candid conversation unpacks both the promise and pitfalls of generative AI and provides a blueprint for institutions eager to innovate responsibly. - - - -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 this episode we take a look at Alexa Plus, an how it can really, I'm not kidding here, help you buy stuff! Yes, my mind was blown. And, for guys like InnoSearch, I'd watch out.

Our latest episode explores the moment AI stops being a tool and starts becoming an organizational model. Agentic systems are already redefining how work, design, and decision‑making happen, forcing leaders to abandon deterministic logic for probabilistic, adaptive systems.“Agentic systems force a mindshift—from scripts and taxonomies to semantics, intent, and action.”

"A flaw of warehouses is that you need to move all your data into them so you can keep it going, and for a lot of organisations that's a big hassle,” says Will Martin, EMEA Evangelist at Dremio. “It can take a long time, it can be expensive, and you ultimately can end up ripping up processes that are there."In this episode of the Don't Panic It's Just Data podcast, recorded live at Big Data LDN (BDL) 2025, Will Martin, EMEA Evangelist at Dremio, joins Shubhangi Dua, Podcast Host and Tech Journalist at EM360Tech. They talk about how enterprises can enable the Agentic AI Lakehouse on Apache Iceberg and why query performance is critical for efficient data analysis. "If you have a data silo, it exists for a reason—something's feeding information to it. You usually have other processes feeding off of it. So if you shift all that to a warehouse, it disrupts a lot of your business," Martin tells Dua. This is where a lakehouse comes into play. Organisations can federate their access through a lakehouse data approach. They can centralise access to the respective organisation's lakehouse while keeping their data in its original location. Such a system helps people get started quickly.In terms of data quality, if you access everything from one location, even with separate data silos, you can see all your data. This visibility allows you to identify issues, address them, and enhance your data quality. That's beneficial for AI, too, Martin explains. Lakehouse Key to AI Infrastructure?Lakehouse has been recognised for unifying and simplifying governance. An imperative feature of a lakehouse is the data catalogue, which helps an organisation browse and find information. It also secures access and manages permissions."You can access in one place, but you can do all your security and permissions in one place rather than all these individual systems, which is great if you work in IT,” reflects Martin. "There are some drawbacks to lakehouses. So, a big component of a lakehouse is metadata. It can be quite big, and it needs managing. Certain companies and vendors are trying to deal with that."With AI and AI agents, it's become even harder to optimise analytics on a lakehouse. However, this has been improved as technical barriers are disappearing. Martin explains that anyone can prompt a question; for instance, an enterprise CEO could ask questions about the data and demand justifications directly. In the past, a request would have to be submitted, and then a data scientist or engineer would create the dataset and hand it over. Now, engineers' roles have changed to focus on better optimisation. They help queries run smoothly and ensure tables are efficient. Agents cannot assist with that.Also Listen: Dremio: The State of the Data LakehouseOptimise LakehouseVendors such as

In this episode of Security Matters, host David Puner sits down with Yuval Moss, CyberArk's VP of Solutions for Global Strategic Partners, to explore the fast-evolving world of agentic AI and its impact on enterprise security. From rogue AI agents deleting production databases to the ethical blind spots of autonomous systems, the conversation dives deep into how identity and Zero Trust principles must evolve to keep pace. Yuval shares insights from his 25-year cybersecurity journey, including why AI agents behave more like humans than machines—and why that's both exciting and dangerous. Whether you're a security leader, technologist or curious listener, this episode offers practical guidance on managing AI agent identities, reducing risk, and preparing for the next wave of autonomous innovation.Explore more of Yuval's thinking on agentic AI and identity-first security in these recent articles:The life and death of an AI agent: Identity security lessons from the human experienceWhen AI Agents Mirror Humanity's Best Behaviors…and Worst Behaviors The Agentic AI Revolution: 5 Unexpected Security Challenges

Likefolio's Andy Swan previews Etsy (ETSY) earnings and shares consumer sentiment data. He says it ranks highly on AI engine referrals, but its web visits are down, with rival Shopify (SHOP) “exploding to the upside.” While he thinks the company is “phenomenal,” he's concerned that it won't meet the growth expectations Wall Street has.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe 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

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

In this episode, Mustafa Kapadia, Managing Director at Echo Point, joins Louise Liu to share his thoughts on how agentic AI is transforming the role of product managers—from decision-making and prioritization to collaboration and execution—and how product managers and product marketers can work together more effectively in this new AI-driven era.For more information, read Mustafa Kapadia's article "Write Value Propositions That Actually Convert - Build your first Value Proposition Agent".All rights reserved. © Product Marketing Hive.

Apparently this week was the week of Agentic Browsers?

In this lively and insightful episode of UC Today, host David Dungay sits down with Dave Michels, Principal Analyst at TalkingPointz, to unpack the biggest revelations from his March Insider Report. From AI's disruptive evolution to Zoom's unexpected pivot and the heated debate around Slido, this is a conversation packed with fresh perspective, candid opinions, and razor-sharp analysis.Dave brings the heat as he reflects on Enterprise Connect, shares real-world examples of AI delivering ROI, and challenges industry norms—like whether we really need more polls in meetings. If you're in UC, CCaaS, or just curious about where workplace tech is going, this is a must-watch.What's real, what's hype, and what's next in AI and communications? In this episode:

In this lively and insightful episode of UC Today, host David Dungay sits down with Dave Michels, Principal Analyst at TalkingPointz, to unpack the biggest revelations from his March Insider Report. From AI's disruptive evolution to Zoom's unexpected pivot and the heated debate around Slido, this is a conversation packed with fresh perspective, candid opinions, and razor-sharp analysis.Dave brings the heat as he reflects on Enterprise Connect, shares real-world examples of AI delivering ROI, and challenges industry norms—like whether we really need more polls in meetings. If you're in UC, CCaaS, or just curious about where workplace tech is going, this is a must-watch.What's real, what's hype, and what's next in AI and communications? In this episode:

Omar Imtiaz, Distinguished Enterprise Architect at Salesforce on the transformative impact of AI on human work. With a background in computer science and IT, Omar argues the importance of the shift from technology-driven to human-centered transformation with AI enhancing human capabilities rather than replacing them. Advocating for a collaborative approach where AI and humans work together, he reminds us that meaning, purpose and emotional engagement is the future of the workplace, unleashing a completely new generation of creativity.Omer joins us in his personal capacity. The opinions shared are his own and do not necessarily reflect those of Salesforce. Nothing here is confidential, proprietary, or advice; it's a general discussion of industry topics.#AI #Creativity #Futureofwork

Roberto Kafati is dedicated to liberating the power of commerce. As CEO and Co-Founder of DEUNA, he leads the mission to simplify global payments and power next-generation commerce. Top 3 Value Bombs 1. Resilience beats glamour. True entrepreneurship is about enduring the nine tough days to earn the one day that reminds you why you started. 2. AI-ready data is the new gold. Owning your data extraction source unlocks intelligence and automation that external AI tools can't replicate. 3. Long-term focus compounds results. Small, consistent wins across life and business create exponential growth and character over time. Check out DEUNA's website to learn more about it and its AI-driven commerce innovations - DEUNA Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. Freedom Circle - A powerful community of entrepreneurs ready to support, inspire, and share the ideas that move you forward. Visit Freedom-Circle.com to lean more. Quicksilver Scientific - Make advanced liposomal supplements so you can actually feel the difference - energy, focus, calm, recovery. Get 10 percent off plus free shipping at TryQS.com/fire.  

This week's World of DaaS LM Brief explores The New Stack's article on the ethical challenges of agentic AI systems that can act autonomously. As organizations hand off more decisions to machines, questions around accountability, transparency, and data governance are becoming central to building and maintaining trust.Listen to this short podcast summary, powered by NotebookLM.

Agentic AI is the name of the game this week my friends! My podcast guest is Ashwin Patil from Deloitte and we are chatting all about the biggest challenges for Agentic AI implementation. Ashwin and I also explore what he has coined “The Three Horizons for Agentic AI” and the innovative activities that Deloitte is pursing to advance Agentic AI. 

(Kinda) Hot take

What is Chat HPE? This week, Technology Now dives into the world of workplace assistants and examines what must be considered when designing them. We explore why businesses want them, how they are created, and ask how good Chat HPE could be when designing a podcast... Jose M Mejias, a Distinguished Technologist working in the Data Office 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.About Jose: https://pr.linkedin.com/in/jose-mejias-1233b323Sources:Joseph Weizenbaum. 1966. ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9, 1 (Jan. 1966), 36–45. https://doi.org/10.1145/365153.365168https://www.ibm.com/think/insights/eliza-effect-avoiding-emotional-attachment-to-aihttps://www.theguardian.com/technology/2023/jul/25/joseph-weizenbaum-inventor-eliza-chatbot-turned-against-artificial-intelligence-ai

Guest: Jason Nyhus, General Manager, Shopware North AmericaGuest Bio: Jason Nyhus serves as General Manager at Shopware, overseeing the company's North American operations. With deep roots in the e-commerce community, Jason has been instrumental in Shopware's expansion across the United States. His leadership focuses on building authentic partnerships with merchants and agencies while fostering a community-driven ecosystem that prioritizes collaboration over competition.Episode SummaryIn this episode recorded live from the e-commerce forum in Minneapolis, Jason Nyhus returns to Talk Commerce for his fourth or fifth appearance to discuss Shopware's rapid growth in North America. The conversation explores how Shopware is leveraging AI and agentic commerce to transform B2B sales operations, particularly in helping sales representatives reclaim time from administrative tasks. Jason shares insights into Shopware's community-first approach, their unique business model that focuses on being world-class at commerce software while partnering for everything else, and the philosophy behind their popular Shoptoberfest event.Key Takeaways• Agentic commerce addresses a critical B2B pain point: Sales reps spend only 25% of their time actually selling, with 75% consumed by administrative and corporate-mandated tasks• Shopware's dual AI strategy: Automating routine e-commerce tasks (product creation, imagery, descriptions, campaign management) while deploying agents to handle administrative work for sales teams• Rapid US expansion: Shopware now serves several thousand merchants in North America and claims to be the fastest-growing e-commerce platform in the region• Three growth drivers: Open source accessibility allowing free installations, European clients expanding to North America, and strategic agency partnerships launching new implementations• Focused target market: Shopware deliberately targets complex use cases rather than straightforward implementations, requiring deeper client relationships and specialized expertise• Revenue model philosophy: Shopware focuses on being world-class at commerce software and lets ecosystem partners excel at hosting, payments, marketing, professional services, and app stores• Community over commercials: The Shoptoberfest event features 10-minute merchant TED Talks sharing real experiences rather than vendor presentations, making practitioners the stars of the showTimestamped Sections[00:00] - Introduction and Welcome[00:35] - Shopware's Approach to AI and Agentic Commerce[02:27] - Shopware's US Market Momentum[04:27] - The Importance of Relationships and Complexity[06:30] - Community-Driven Philosophy[08:49] - The Birth of Shoptoberfest[09:34] - Merchant-Focused Event Format[10:58] - Irish Titan and Community ConnectionTopics Discussed• Agentic commerce and AI automation in e-commerce• B2B sales efficiency and time allocation challenges• Open source commerce platforms and accessibility• Shopware's North American market expansion strategy• Building authentic client and partner relationships• Complex e-commerce use cases vs. straightforward implementations• The six ways to monetize e-commerce (software, hosting, payments, marketing services, professional services, app stores)• Community-driven events and ecosystem building• Shoptoberfest event philosophy and format• Notable Shopware clients: Uppababy, Dunham Sports, Albany Fasteners, Eagle Crusher, Boo Ally• Agency partnerships and specialized expertise (Above the Fray)• Minneapolis/Twin Cities e-commerce ecosystem• Ecom Forum event format and community focus• The difference between "community" and "ecosystem" terminologyConnect with ShopwareLearn more about Shopware's commerce platform and agentic commerce solutions at their website.About Talk CommerceTalk Commerce is hosted by Brent Peterson and features conversations with e-commerce leaders, innovators, and practitioners sharing insights about the future of digital commerce.

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Many listeners have become so familiar with AI that they may have assumed it has been around for decades. Today, we sat down with Will Angel from Excella to explore the application of AI to federal technology from a more nuanced perspective. We dive into three main aspects of AI:  challenges of integrating AI services, Model Context Protocol, and security considerations with agentic systems. Challenges: No company has grown as fast as ChatGPT; in fact, it is the fastest-adopted consumer application in history. Today, it has an estimated eight hundred million weekly users. This has attracted developers who work on federal projects. Wil Angel recommends careful consideration of people arbitrarily porting data to or from products like ChatGPT because it can compromise data security. MCP In certain circles, the term “Model Context Protocol” is used constantly. It has become so popular that people do not realize it was just coined by Anthropic in November of 2024. During the interview, Angel presents variations on MCP for software development and warns about the hype surrounding the relatively new standard for AI systems. Agentic AI  Autonomous systems have been the holy grail for every software developer. The promise of Agentic AI is so powerful that some have jumped into applications without a more prudent approach. When a series of tasks is assembled, unintended consequences can come into play. It is one thing in the commercial world to reveal essential data; it is a completely different situation when the DoD is dealing with life and death situations. Angel predicts significant changes in AI over the next few years, with large language models revolutionizing software systems.    

ChatGPT just released their agnetic browser, Atlas.

Microsoft is promising a bold AI-infused future for Windows 11, as the company aims to turn the OS into an AI-powered "agentic" hub. Amid all the Copilot hype, the hosts ask the tough questions: Are these AI features solving real problems, or is Big Tech just chasing a revenue gold rush? Tune in for sharp takes on AI skepticism, notable buzzwords, and the practical impact of Microsoft's ambitious new direction. Windows 11... Windows.ai?? Microsoft announces several new Copilot and AI features in Windows while redefining the term "AI PC" out from under Intel New features: Hey Copilot wake phrase (and goodbye), Copilot Vision is GA, new features coming soon include Copilot replacing Search in the Taskbar, Copilot Actions for local files, Manus AI agent and Filmora integration with File Explorer AI Actions, Zoom integration with Click to Do This is about Windows transforming into an "AI native" agentic OS Which ties into Paul's AI is the End of Apps editorial, where apps became programmable so that they can be controlled by AI - You can see baby steps in Windows 11 in-box apps now Microsoft explains how it will secure agents in Windows because Recall what happened last time Microsoft releases so-called emergency update for Windows 11 after the October Patch Tuesday updates killed USB mouse and keyboard supports in the Windows Recovery Environment (WRE). Windows Insider Program: Mobile devices settings improvements, File Explorer improvements, Drag Tray improvements, and other changes head to Dev (25H2) and Beta (24H2) channels New Start menu, battery icons, Copilot Vision integration in Taskbar, File Explorer improvements, Voice access improvements, and Click to Do improvements (Copilot+ PC only) head to Release Preview, indicating they will be a Week D preview and then Patch Tuesday release in November Restyle rolling out in Paint across most Insider channels Open AI finally launches long-expected web browser, but only on the Mac because FU, Microsoft Facebook Messenger for Windows is retiring, will chase rabbits on a farm upstate Microsoft What does Microsoft's annual report say about its relationship with consumers? Three core consumer businesses: Windows, Microsoft 365 Consumer, Xbox/gaming Xbox/gaming smallest (500m) but also the most engaged - and also the most discussed in the report Not clear what % of users/revenues is consumer based, but it's not a small number (guessing its at least one-third of each) AI Copilot for Education is coming in December, $18 per student per month Anthropic Claude is coming for Copilot in Microsoft 365 commercial Copilot has AI competition on Samsung smart TVs now Opera Neon is getting an AI research agent Xbox and gaming Xbox president says next console will be "very premium". You know, like Xbox Game Pass Ultimate. ASUS ROG Xbox Ally and Xbox Ally X are now available for purchase New wave of games coming to Game Pass across PC, console, and cloud, including Microsoft Flight Simulator 2024, The Outer Worlds 2, and more Following console price hikes, Xbox Development Kit gets a 33 percent price increase thanks to insane U.S. tariffs Tips & Picks Tip of the week: Laptops are upgradeable again and life is good App pick of the week: A grab bag of apps for Windows users RunAs Radio this These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/955 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW outsystems.com/twit

Microsoft is promising a bold AI-infused future for Windows 11, as the company aims to turn the OS into an AI-powered "agentic" hub. Amid all the Copilot hype, the hosts ask the tough questions: Are these AI features solving real problems, or is Big Tech just chasing a revenue gold rush? Tune in for sharp takes on AI skepticism, notable buzzwords, and the practical impact of Microsoft's ambitious new direction. Windows 11... Windows.ai?? Microsoft announces several new Copilot and AI features in Windows while redefining the term "AI PC" out from under Intel New features: Hey Copilot wake phrase (and goodbye), Copilot Vision is GA, new features coming soon include Copilot replacing Search in the Taskbar, Copilot Actions for local files, Manus AI agent and Filmora integration with File Explorer AI Actions, Zoom integration with Click to Do This is about Windows transforming into an "AI native" agentic OS Which ties into Paul's AI is the End of Apps editorial, where apps became programmable so that they can be controlled by AI - You can see baby steps in Windows 11 in-box apps now Microsoft explains how it will secure agents in Windows because Recall what happened last time Microsoft releases so-called emergency update for Windows 11 after the October Patch Tuesday updates killed USB mouse and keyboard supports in the Windows Recovery Environment (WRE). Windows Insider Program: Mobile devices settings improvements, File Explorer improvements, Drag Tray improvements, and other changes head to Dev (25H2) and Beta (24H2) channels New Start menu, battery icons, Copilot Vision integration in Taskbar, File Explorer improvements, Voice access improvements, and Click to Do improvements (Copilot+ PC only) head to Release Preview, indicating they will be a Week D preview and then Patch Tuesday release in November Restyle rolling out in Paint across most Insider channels Open AI finally launches long-expected web browser, but only on the Mac because FU, Microsoft Facebook Messenger for Windows is retiring, will chase rabbits on a farm upstate Microsoft What does Microsoft's annual report say about its relationship with consumers? Three core consumer businesses: Windows, Microsoft 365 Consumer, Xbox/gaming Xbox/gaming smallest (500m) but also the most engaged - and also the most discussed in the report Not clear what % of users/revenues is consumer based, but it's not a small number (guessing its at least one-third of each) AI Copilot for Education is coming in December, $18 per student per month Anthropic Claude is coming for Copilot in Microsoft 365 commercial Copilot has AI competition on Samsung smart TVs now Opera Neon is getting an AI research agent Xbox and gaming Xbox president says next console will be "very premium". You know, like Xbox Game Pass Ultimate. ASUS ROG Xbox Ally and Xbox Ally X are now available for purchase New wave of games coming to Game Pass across PC, console, and cloud, including Microsoft Flight Simulator 2024, The Outer Worlds 2, and more Following console price hikes, Xbox Development Kit gets a 33 percent price increase thanks to insane U.S. tariffs Tips & Picks Tip of the week: Laptops are upgradeable again and life is good App pick of the week: A grab bag of apps for Windows users RunAs Radio this These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/955 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsors: ventionteams.com/twit helixsleep.com/windows framer.com/design promo code WW outsystems.com/twit

Qlik's Field CTO for Generative AI Ryan Welsh reveals why 95% of enterprise AI projects fail and shares the three proven strategies the successful 5% use to deliver real business value from their AI investments.Topics Include:Qlik's Field CTO reveals why 95% of AI projects fail despite massive investmentsMIT research shows shocking failure rates, but 5% are achieving real business valueFirst major pitfall: Bad data foundations doom even the most sophisticated AI modelsSecond problem: Companies use generative AI when predictive models would work betterThird issue: Unnecessary complexity - AI projects disconnected from business outcomesSuccess secret #1: Ground AI in trusted enterprise data and user contextSome LLMs struggle at specific tasks like claims processing despite passing medical examsSuccess secret #2: Let AI learn from users while keeping data governance intactSuccess secret #3: Embed AI directly into existing workflows like SalesforceAgentic AI shifts from reactive Q&A to proactive systems that execute across platformsCase study: Lintek reduced churn 10% and saved millions using these principlesYour AI choices today will lock in your trajectory for years to comeParticipants:Ryan Welsh – Field CTO – Generative AI, QlikSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at aws.amazon.com/isv/

In this episode of Talk Commerce recorded live from Ecom Forum in Minneapolis, host Brent Peterson sits down with Sharon Gee, Senior Vice President of Product at Commerce, to discuss how artificial intelligence and agentic commerce are reshaping ecommerce. Sharon oversees AI offerings across BigCommerce, Feedonomics, and Makeswift, bringing insights on how merchants can adapt to a world where AI agents shop alongside humans.Key TakeawaysData has become the new storefront as consumers increasingly turn to answer engines rather than traditional searchMerchants need to provide structured, contextual data to AI agents, not just visually appealing websites for human shoppersChatGPT reached 100 million users faster than any consumer technology in historyProduct data must exist on multiple levels, from basic ad information to unstructured content in PDFs and reviewsB2B commerce stands to benefit significantly from AI-powered sales assistantsNew trust protocols are being established to manage transactions between shoppers, agents, merchants, and merchant agentsAI democratizes marketing tools, allowing creative thinkers to execute ideas without engineering expertiseEpisode SummarySharon begins by explaining her role at Commerce and immediately addresses the most significant shift in ecommerce: the rise of agentic commerce. For decades, professionals optimized data for advertising channels, working to improve conversion rates between two and five percent. Now consumers turn to answer engines with complex queries like finding a dress for a wedding in Italy in a specific color and size, delivered by tomorrow."Somebody came along and bopped the board game and now we get to reset all the pieces," Sharon explains. This shift requires merchants to recognize that data has become the new storefront. Answer engines need deep context to respond to long-form queries, making product discoverability critical wherever shoppers are looking.Sharon introduces a framework for data levels. Level one includes basic information for Google ads. Level two encompasses marketplace data. Level three consists of product specifications in PIM systems. Levels four and five venture into unstructured data, including PDFs and user reviews. This creates what she calls a bifurcated experience—merchants need different versions of their sites for AI agents versus human visitors.When asked whether sites might become pure APIs, Sharon argues for both approaches. Brand sites remain channels merchants control, but on third-party agentic channels, merchants only control the data they provide. This makes data investment critical for visibility.Sharon sees massive potential in B2B sales assistants trained on documentation that human sales reps use. If three-quarters of the sales cycle could progress overnight, reps could focus on high-touch human interactions. B2B companies have advantages because they're manufacturers with deep data, extensive documentation, and sophisticated pricing structures.Addressing concerns about AI reliability, Sharon explains that commerce platforms and partners are collaborating on protocols. "You've seen more open protocols released in the past six months than like the previous 10 years combined," she notes. Companies recognize that trust becomes paramount when authorizing agents to shop on behalf of consumers. Transactions now involve four parties: a shopper, a shopper agent, a merchant, and a merchant agent.Sharon emphasizes AI's role as a growth enabler rather than just a cost-reduction tool. Merchants could rewrite entire product catalogs with a button click using generative AI. AI provides jet fuel for existing teams, unlocking capabilities never before possible. "I would love it if our generation is the last one to use a mouse and a keyboard," Sharon declares.Brent adds that AI's greatest value might be identifying what merchants aren't doing rather than what they should be doing. Sharon confirms that Commerce customers use tools to define simulated personas and understand what queries those personas might ask, then determine what content they need to ensure their products get referenced instead of competitors' products.Episode Timestamps[00:00] - Introduction and Sharon's role at Commerce[01:00] - How agentic commerce is changing the game[02:30] - The shift from traditional SEO to AI-driven discovery[04:00] - Why data is the new storefront[06:00] - The five levels of product data[08:00] - Creating different experiences for agents vs humans[10:00] - The bifurcated website experience[12:00] - Why B2B commerce will benefit from AI agents[14:00] - Building trust protocols for agentic transactions[16:00] - AI as a growth enabler vs cost reducer[18:00] - Rewriting catalogs with generative AI[20:00] - Finding gaps in content strategy with AI[21:00] - Final thoughts on Ecom Forum and the human element

In this episode, Wen Sang (Co-Founder & COO, GenSpark.ai), Christian Jester (Partner & TMT Markets Leader, PwC), and Jason Hirsch (Partner & Head of AI, Digital Platforms & Emerging Technologies Practice, Nixon Peabody) join the 10X Strategies Podcast to decode the evolving landscape of Agentic AI — what's hot, what's not. The panel explores how AI is reshaping work and productivity, how enterprises are navigating adoption at scale, and the legal and ethical implications of this rapid evolution. They discuss real-world use cases, sustainable business models, the no-moat reality of AI, and why open-source innovation might define the next phase of the AI revolution. ⸻ ⏱️ Chapters 00:00 Introduction and Guest Welcome 00:45 Meet the Panel: Wen Sang, Christian Jester, and Jason Hirsch 02:20 What's Hot in AI — New Use Cases and The Future of Work 05:00 Empowering Knowledge Workers through AI Agents 08:15 Enterprise AI Adoption and The Governance Challenge 11:20 Legal Risks and AI Whitewashing — When Hype Becomes Hazard 15:00 Differentiation in a No-Moat World — Finding Real Value 18:30 The GenSpark Story — Building AI for Knowledge Workers 21:00 Sustainable Business Models in the AI Ecosystem 25:10 Authenticity, Self-Awareness and Investor Confidence 28:30 Governance, Security and Data Integrity in Practice 31:20 What's Not Hot — Pitfalls, Liabilities and Legal Oversights 35:00 Licensing AI — Who Owns the Risk When Things Go Wrong? 38:30 Challenges for Founders — Regulation and General Counsel Gaps 41:15 Open-Source AI and The Thousand-Model Future 43:30 Audience Q&A and Closing Reflections

Anne joins Eric Franchi and Joe Zappa to discuss why the Ad Context Protocol matters, what it will take for agentic advertising to achieve widespread adoption, how agents will drive better outcomes for open internet advertising, and the evolution of Scope3. Plus, Joe gives Anne a chance to dunk on the company's haters. 

The Afterlife, AWS, ClickFix, Agentic AI Galore, Robot Lumberjacks, Robocalls, Aaran Leyland, and more on the Security Weekly News. Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-522 This segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them!