Podcasts about agentic

Tim Gaus, smart manufacturing business leader at Deloitte Consulting, explains agentic AI and how it differs from AI data analytics and AI chatbots, how manufacturers can use AI agents and where they will likely have the most impact in industry.

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // MLOps Podcast #306 with Luca Fiaschi, Partner of PyMC Labs.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractTraditional product development cycles require extensive consumer research and market testing, resulting in lengthy development timelines and significant resource investment. We've transformed this process by building a distributed multi-agent system that enables parallel quantitative evaluation of hundreds of product concepts. Our system combines three key components: an Agentic innovation lab generating high-quality product concepts, synthetic consumer panels using fine-tuned foundational models validated against historical data, and an evaluation framework that correlates with real-world testing outcomes. We can talk about how this architecture enables rapid concept discovery and digital experimentation, delivering insights into product success probability before development begins. Through case studies and technical deep-dives, you'll learn how we built an AI powered innovation lab that compresses months of product development and testing into minutes - without sacrificing the accuracy of insights. // BioWith over 15 years of leadership experience in AI, data science, and analytics, Luca has driven transformative growth in technology-first businesses. As Chief Data & AI Officer at Mistplay, he led the company's revenue growth through AI-powered personalization and data-driven pricing. Prior to that, he held executive roles at global industry leaders such as HelloFresh ($8B), Stitch Fix ($1.2B) and Rocket Internet ($1B). Luca's core competencies include machine learning, artificial intelligence, data mining, data engineering, and computer vision, which he has applied to various domains such as marketing, logistics, personalization, product, experimentation and pricing.He is currently a partner at PyMC Labs, a leading data science consultancy, providing insights and guidance on applications of Bayesian and Causal Inference techniques and Generative AI to fortune 500 companies. Luca holds a PhD in AI and Computer Vision from Heidelberg University and has more than 450 citations on his research work.// Related LinksWebsite: https://www.pymc-labs.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Luca on LinkedIn: /lfiaschi

In this episode of Campus Technology Insider Podcast Shorts, Rhea Kelly discusses the exponential rise in AI adoption as highlighted by Stanford's 2025 AI index. Key points include the surge in business integration of AI, enterprise deployment of autonomous AI agents per SnapLogic's report, and Microsoft's updates to its Copilot platform, aiming for a personalized AI companion experience. Concerns about data privacy and fairness amid these advancements are also addressed. 00:00 Introduction and Host Welcome 00:17 Stanford's 2025 AI Index Highlights 00:52 Enterprise AI Agents Adoption 01:30 Microsoft Copilot Platform Updates 02:04 Conclusion and Further Resources Source links: Stanford 2025 AI Index Reveals Surge in Adoption, Investment, and Global Impact as Trust and Regulation Lag Behind Report: Enterprises Embracing Agentic AI Copilot Updates Aim to Make AI More Personal   Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

Ready to build an agentic AI in .NET? Carl and Richard talk to Spencer Schneidenbach about his work using large language models to enhance customer interactions in healthcare. Spencer discusses using the LLMs to summarize customer conversations to identify topic areas, sentiment, and other concerns. He digs into how Microsoft's Semantic Kernel makes connecting an OpenAI model to your APIs easy, fetching information and creating a context for testing reliability and consistency with these models. Check out the links for some great tools to help make your AI apps with .NET!

"We're not replacing geophysicists; we're giving them superpowers to analyze data faster and better." Explore the cutting-edge world of generative and physics-informed AI with Vladimir Kazei, guest editor for The Leading Edge. AI is transforming geophysics, from revolutionizing seismic imaging to pushing the boundaries of computational efficiency. Vladimir shares how these advancements reshape subsurface exploration and what this means for the industry's future. KEY TAKEAWAYS > What geophysicists can do today - AI tools are already available to assist with seismic inversion, velocity model building, and data interpretation. Geophysicists can start experimenting with these technologies now. > AI and computational efficiency - Machine learning drastically reduces processing times, allowing faster and more cost-effective subsurface analysis. > The road to adoption - Successful AI integration in geophysics depends on bridging knowledge gaps, fostering collaboration, and ensuring transparency in machine learning models. CALL TO ACTION Want to dive deeper into this exciting field? Check out The Leading Edge's special issue on AI in geophysics and explore Vladimir's editorial insights. You can find it at https://library.seg.org/toc/leedff/44/2. SHARE THIS EPISODE If you found this episode helpful, please message a friend to listen. To help out, here's a possible message you could send them. AI isn't just hype - this episode highlights real applications making a difference today. GUEST BIO Vladimir Kazei is a research geophysicist at Aramco Americas. Vladimir received his PhD in Geophysics from the Saint Petersburg State University and the Schmidt Institute of the Physics of the Earth of the Russian Academy of Sciences in 2016. He then worked as a research scientist at King Abdullah University of Science and Technology before joining the Houston Research Center of Aramco Americas in 2020. Vladimir's contributions to applied geophysics in areas of machine learning, Distributed Acoustic Sensing (DAS), and Full-Waveform Inversion (FWI) were noted as groundbreaking innovations by the Society of Exploration Geophysicists (SEG) and marked with a prestigious Clarence J. Karcher award in 2023. He actively participates in organizing SEG's workshops on DAS and AI. Since 2023, Vladimir has served on The Leading Edge journal editorial board and has led special sections on Digitalization, Sustainability, and Generative and Physics-Informed AI. LINKS * Visit https://seg.org/podcasts/episode-255-generative-physics-informed-and-agentic-ai-in-geophysics for links to the articles in The Leading Edge.

The future of recruiting isn't coming. It's already here. And if you're still relying on your legacy tech stack and spreadsheets, you're already behind. Enter Steven Jiang, CEO and Co-founder of HireEZ, who just dropped one of the most important AI launches in the recruiting space - EZ Agent, their agentic AI companion built to fundamentally reshape the recruiter's role. Forget everything you know about “copilots” and “gen AI assistants.” EZ Agent is not just another AI tool bolted onto your ATS. It's a fully-integrated, always-on agent that plans, reasons, executes, and evolves - empowering recruiters to get out of the weeds and back into real talent relationships. Steven joins Tim Sackett to break down: • Why agentic AI isn't just better - it's a whole new operating system for recruiting • How recruiters move from task managers to true talent strategists • What it means to create a white-glove candidate experience at scale • And how EZ Agent is solving the “black hole” problem by giving 100% of candidates a shot at the plate Steven's built more than a product - he's building a movement to re-humanize recruiting with AI doing the heavy lifting behind the scenes. If you care about talent, inclusion, and the future of work - this is the conversation you need to hear. Connect with Us: Steven Jiang Follow Steven on LinkedIn: https://www.linkedin.com/in/stevenhireez/ Learn more about HireEZ: https://hireez.com/ Book a Demo: https://hireez.com/customer-success/ Tim Sackett Follow Tim on LinkedIn: linkedin.com/in/timsackett Need Help with Technical Recruiting: https://hrutech.com/ Read Tim's Blog: https://timsackett.com/

Dan Lee, (@_dan_lee_, CEO Nooks.ai, @JoinNooks) talks about agentic AI vs. AI assistants, their differences, and we explore ROI in this space vs. GenAI and common paths to adoption.SHOW: 913SHOW TRANSCRIPT: The Cloudcast #913 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SPONSORS:Try Postman AI Agent Builder TodayCut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:Nooks.ai websiteNooks Founders on Forbes 30 under 30 for AITopic 1 - Welcome to the show, Dan. Give everyone a quick introduction.Topic 2 - Our topic today is AI Agents vs. Assistants. Let's start there. Many out there are hearing the terms and will often think an AI Agent is equal to an AI Assistant. What's the difference?Topic 3 - One of the big problems I've seen with AI adoption vs. hype is the ROI. GenAI hit the scene and brought AI into the mainstream, but the world is quickly moving on to Agentic AI. I've mainly seen this play out because the ROI on “chatbots” just isn't there most of the time and also everyone is still scared for data leaks/privacy and hallucinations.Topic 4 - We'll get into Nooks.ai in a bit but before we do, I wanted to point out that your company started prior to the big breakout of GenAI. How did you see the market back then and has LLM's and transformer models in general changed your approach to AI Assistants?Topic 5 - When taking customers through the adoption process for AI Assistants, what are the typical steps? How do you go about getting consensus and buy-in from the various orgs in the company? Are there common hurdles folks need to consider?Topic 6 - With Nooks, you've decided to conquer the domain of sales and sales prospecting. What was your thoughts here in deciding where and how to remove friction from sales? Is this decision and thought process transferable to other areas? Any universal considerations?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

This episode is sponsored by Thuma. Thuma is a modern design company that specializes in timeless home essentials that are mindfully made with premium materials and intentional details.   To get $100 towards your first bed purchase, go to http://thuma.co/eyeonai     What happens when AI agents start negotiating, automating workflows, and rewriting how the enterprise world operates?   In this episode of the Eye on AI podcast, Will Grannis, CTO of Google Cloud, reveals how Google is leading the charge into the next frontier of artificial intelligence: agentic AI. From multi-agent systems that can file your expenses to futuristic R2-D2-style assistants in real-time race strategy, this episode dives deep into how AI is no longer just about models—it's about autonomous action. In this episode, we explore: How AgentSpace is transforming how enterprises build AI agents The evolution from rule-based workflows to intelligent orchestration Real-world use cases: expense automation, content creation, code generation Trust, sovereignty, and securing agentic systems at scale The future of multi-agent ecosystems and AI-driven scientific discovery How large enterprises can match startup agility using their data advantage   Whether you're a founder, engineer, or enterprise leader—this episode will shift how you think about deploying AI in the real world.   Subscribe for more deep dives with tech leaders and AI visionaries. Drop a comment with your thoughts on where agentic AI is headed!     (00:00) Preview and Intro (02:34) Will Grannis' Role at Google Cloud (05:14) Origins of Agentic Workflows at Google (09:10) How Generative AI Changed the Agent Game (12:29) Agents, Tool Access & Trust Infrastructure (14:01) What is Agent Space? (16:30) Creative & Marketing Agents in Action (23:29) Core Components of Building Agents (25:29) Introducing the Agent Garden (28:06) The “Cloud of Connected Agents” Concept (33:53) Solving Agent Quality & Self-Evaluation (37:19) The Future of Autonomous Finance Agents (40:55) How Enterprises Choose Cloud Partners for Agents (43:50) Google Cloud's Principles in Practice (46:27) Gemini's Context Power in Cybersecurity (49:50) Robotics and R2D2-Inspired AI Projects (52:39) How to Try Agent Space Yourself  

XORsearch: Searching With Regexes Didier explains a workaround to use his tool XORsearch to search for regular expressions instead of simple strings. https://isc.sans.edu/diary/XORsearch%3A%20Searching%20With%20Regexes/31834 MCP Security Notification: Tool Poisoning Attacks Invariant labs summarized a critical weakness in the Model Context Protocol (MCP) that allows for "Tool Poisoning Attacks." Many major providers such as Anthropic and OpenAI, workflow automation systems like Zapier, and MCP clients like Cursor are susceptible to this attack https://invariantlabs.ai/blog/mcp-security-notification-tool-poisoning-attacks Making :visited more private Google Chrome changed how links are marked as visited . This new partitioning scheme was introduced to improve privacy. Instead of marking a link as visited on any page where it is displayed, it is only marked as visited if the user clicks on the link while visiting the particular site where the link is displayed. https://developer.chrome.com/blog/visited-links

NextMed Health in a healthtech and biotech conference exploring the most forward thinking ideas and topics in healthcare. Taking place in San Diego, a four day programme covered topics such as latest developments in AI, aging, increasing lifespan and longevity, addressing mental health and exercise through VR, and more. In this special episode of Faces of digital health, Gary Monk and Tjasa Zajc reflect on the key findings through additional discussions with: Anthony Chang, MD, MBA, MPH, Founder, AIMed. Chief Intelligence & Innovation Office, Children's Hospital of Orange County  Daniel Kraft, MD,  Founder & Chair, NextMed Health. Bayo Curry-Winchell, MD, Founder, Beyond Clinical Walls. Urgent Care Medical Director, Saint Mary's Health Network Steven Brown, AI developer, Coder, founder, investor, filmmaker Jennifer Garrison, PhD, Professor, Buck Institute. Co-Founder & Director, ProductiveHealth.org Eric Topol, MD,  Founder and Director, Scripps Research Translational Institute What's covered:

In this episode of The Tech Trek, Amir sits down with Andrew Levy, CEO and Co-founder of AirCover.ai, to explore how agentic AI is transforming the sales landscape. Andrew shares how AirCover builds real-time digital assistants that empower sales teams, the role of humans in AI-driven workflows, and how enterprises—both nimble and traditional—are adopting these tools to leap ahead. From change management to trust-building and the rise of “little language models,” this conversation unpacks what it really means to bring AI into the heart of go-to-market strategies.

In episode #274, I'm sharing some insight from a Mark Roberge talk in Tempe, AZ at PHX FWD. The software business is undergoing another major shift. In the 80/90's it started with on-premise software, then ASP, then SaaS, and now AI. - Business model changes - What if agentic AI entered your space? - Siebel Systems - from top player to SaaS laggard Be in the know! Join our SaaS community. https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page

In this episode, we sit down with David Melamed and Shai Horovitz of the Jit team. We discussed Agentic AI for AppSec and how security teams use it to get real work done.We covered a lot of key topics, including:What some of the systemic problems facing AppSec are, even before the widespread adoption of AI, such as vulnerability prioritization, security technical debt and being outnumbered exponentially by Developers.The surge of interest and investment in AI and agentic workflows for AppSec, and why AppSec is an appealing space for this sort of investment and excitement.How the prior wave of AppSec tooling was focused on findings problems, riding the wave of shift left but how this has led to alert fatigue and overload, and how the next-era of AppSec tools will need to focus on not just finding but actually fixing problems.Some of the unique capabilities and features the Jit team has been working on, such as purpose-built agents in areas such as SecOps, AppSec and Compliance, as well as context-graphs with organizational insights to drive effective remediation.The role of Agentic AI and how it will help tackle some of the systemic challenges in the AppSec industry.Addressing concerns around privacy and security when using AI, by leveraging offerings from CSPs and integrating guardrails and controls to mitigate risks.

Andriy Burkov is a renowned machine learning expert and leader. He's also the author of (so far) three books on machine learning, including the recently-released "The Hundred-Page Language Models Book", which takes curious people from the very basics of language models all the way up to building their own LLM. Andriy is also a formidable online presence and is never afraid to call BS on over-the-top claims about AI capabilities via his punchy social media posts. Episode highlights: 1. Large Language Models are neither magic nor conscious LLMs boil down to relatively simple mathematics at an unfathomably large scale. Humans are terrible at visualising big numbers and cannot comprehend the size of the dataset or the number of GPUs that have been used to create the models. You can train the same LLM on a handful of records and get garbage results, or throw millions of dollars at it and get good results, but the fundamentals are identical, and there's no consciousness hiding in between the equations. We see good-looking output, and we think it's talking to us. It isn't. 2. As soon as we saw it was possible to do mathematics on words, LLMs were inevitable There were language models before LLMs, but the invention of the transformer architecture truly accelerated everything. That said, the fundamentals trace further back to "simpler" algorithms, such as word2vec, which proved that it is possible to encode language information in a numeric format, which meant that the vast majority of linguistic information could be represented by embeddings, which enabled people to run equations on language. After that, it was just a matter of time before they got scaled out. 3. LLMs look intelligent because people generally ask about things they already know about The best way to be disappointed by an LLM's results is to ask detailed questions about something you know deeply. It's quite likely that it'll give good results to start with, because most people's knowledge is so unoriginal that, somewhere in the LLM's training data, there are documents that talk about the thing you asked about. But, it will degrade over time and confidently keep writing even when it doesn't know the answer. These are not easily solvable problems and are, in fact, fundamental parts of the design of an LLM. 4. Agentic AI relies on unreliable actors with no true sense of agency The concept of agents is not new, and people have been talking about them for years. The key aspect of AI agents is that they need self-motivation and goals of their own, rather than being told to have goals and then simulating the desire to achieve them. That's not to say that some agents are not useful in their own right, but the goal of fully autonomous, agentic systems is a long way off, and may not even be solvable. 5. LLMs represent the most incredible technical advance since the personal computer, but people should quit it with their most egregious claims LLMs are an incredible tool and can open up whole new worlds for people who are able to get the best out of them. There are limits to their utility, and some of their shortcomings are likely unsolvable, but we should not minimise their impact. However, there are unethical people out there making completely unsubstantiated claims based on zero evidence and a fundamental misunderstanding of how these models work. These people are scaring people and encouraging terrible decision-making from the gullible. We need to see through the hype. Buy "The Hundred-Page Language Model Book" "Large language models (LLMs) have fundamentally transformed how machines process and generate information. They are reshaping white-collar jobs at a pace comparable only to the revolutionary impact of personal computers. Understanding the mathematical foundations and inner workings of language models has become crucial for maintaining relevance and competitiveness in an increasingly automated workforce. This book guides you through the evolution of language models, starting from machine learning fundamentals. Rather than presenting transformers right away, which can feel overwhelming, we build understanding of language models step by step—from simple count-based methods through recurrent neural networks to modern architectures. Each concept is grounded in clear mathematical foundations and illustrated with working Python code." Check it out on the book's website: https://thelmbook.com/. You can also check out Machine Learning Engineering: https://www.mlebook.com and The Hundred-Page Machine Learning Book: https://www.themlbook.com/. Follow Andriy You can catch up with Andriy here: LinkedIn: https://www.linkedin.com/in/andriyburkov/ Twitter/"X": https://twitter.com/burkov True Positive Newsletter: https://aiweekly.substack.com/

For this episode, our guests will continue to explore emerging and disruptive technologies in justice and public safety. We're thrilled to welcome back Larry Zorio, Chair of the Cybersecurity Working Group and Paul Wormeli who spearheads efforts for the IJIS Technology and Architecture Committee. In this episode, Larry and Paul will dive into the transformative potential of agentic artificial intelligence and its use and potential within justice and public safety operations. They'll explore how the cutting-edge technology can streamline processes, enhance efficiency, and empower professionals to be more productive.

David Dorf, Head of Retail Industry Solutions at AWS, joins Omni Talk to break down how Agentic AI—the next evolution beyond generative AI—is poised to reshape the retail industry. From recommendations and virtual analysts to autonomous shopping assistants, David shares real-world retail examples already in use today. Plus, he explains why the next frontier may be agent-optimized websites and what that means for advertising, loyalty, and even SEO.

In the latest episode of The Modern Customer Podcast, Tom Eggemeier, CEO of Zendesk, shares what's next for CX—and why the future is all about outcomes, not tickets. The conversation explores Zendesk's new Resolution Platform and the real-world impact of Agentic AI. Key takeaways include: ✅ The shift from interactions to real resolution ✅ Agentic AI that acts, adapts, and anticipates ✅ A business model that only wins if customers do ✅ The 3 biggest CX shifts redefining loyalty, automation, and the human touch If you're thinking about where customer experience is headed, this episode offers a clear and optimistic view of what's possible.

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Walking around the Salesforce World Tour DC  can make you dizzy with use cases.  Let's step back and look at underlying principles.  To boil down the massive information overflow, we sat down with Nasi Jazayeri from Salesforce to focus on improving efficiency by taking advantage of Salesforce agents. Automation. Federal employees will obviously be asked to do more with less. One way to accomplish this task is to structure a system where tedious decisions do not have to be made by humans. Tasks can be designed without human oversight to a specific level. Workflows. Salesforce is increasingly becoming a hub for data amalgamation. Integrating API into workflow can improve how systems can manage various dependencies. Compliance. This is one of Salesforce's superpowers. Everyone is trying to figure out where the best application of agents would be. Inevitably, mistakes will be made. Compliance is built into a system like Salesforce. You can evaluate several options without reinventing the wheel for each instance. Salesforce has many use cases for agentic applications, such as citizen service automation, healthcare administration, and interagency collaboration. Sometimes, general value principles can reinforce decisions made regarding agents and Salesforce.

Peter's back from Boston, Pascal's gearing up for a new China tour, and Steven shares inspiration from Seth Godin. In this episode, we talk about the real stories behind AI, why Mi Xue is the BYD of fast food, and what happens when Microsoft and OpenAI hit turbulence.  

The companies that win the next decade won't just adopt AI — they'll redesign how work gets done from the ground up. Daniel Saks, CEO and Co-Founder of Landbase, returns to share lessons learned from scaling two companies across two major technology waves. Daniel explores how the path from SaaS to agentic AI is not just a shift in tools, but a complete rethinking of how businesses operate, compete and grow.Specifically, Daniel discusses:(03:35) Daniel had early conviction in SaaS and saw it reshape business.(07:48) How his approach today targets SMBs, and not enterprises.(10:04) The intense competition in AI and how Landbase differentiates through deep talent, data, and execution.(16:34) Why the infrastructure war in AI mirrors the early cloud era.(19:53) AI can replace outdated service-based businesses.(21:24) “Reclaim your day” reflects Landbase's mission to let humans focus on creative, high-value work.(23:39) Why value creation and timing still win deals — regardless of the tech wave.(28:41) Relevance beats personalization in outbound.(30:36) Why “move fast and break things” doesn't work in a world demanding trust, values and governance.(36:26) AI will run on autopilot — with humans in control.Resources Mentioned:Daniel Sakshttps://www.linkedin.com/in/danielsaks/Landbase | LinkedInhttps://www.linkedin.com/company/landbase/Landbase | Websitehttps://www.landbase.com/This episode is brought to you by:Leverage community-led growth to skyrocket your business. “From Grassroots to Greatness” by author Lloyed Lobo will help you master 13 game-changing rules from some of the most iconic brands in the world — like Apple, Atlassian, CrossFit, Harley-Davidson, HubSpot, Red Bull and many more — to attract superfans of your own that will propel you to new heights. Grab your copy today at FromGrassrootsToGreatness.com.Each year the US and Canadian governments provide more than $20 billion in R&D tax credits and innovation incentives to fund businesses. But the application process is cumbersome, prone to costly audits, and receiving the money can take as long as 16 months. Boast automates this process, enabling companies to get more money faster without the paperwork and audit risk. We don't get paid until you do! Find out if you qualify today at https://Boast.AI.Launch Academy is one of the top global tech hubs for international entrepreneurs and a designated organization for Canada's Startup Visa. Since 2012, Launch has worked with more than 6,000 entrepreneurs from over 100 countries, of which 300 have grown their startups to seed and Series A stage and raised over $2 billion in funding. To learn more about Launch's programs or the Canadian Startup Visa, visit https://LaunchAcademy.ca.Content Allies helps B2B companies build revenue-generating podcasts. We recommend them to any B2B company that is looking to launch or streamline its podcast production. Learn more at https://contentallies.com.#AgenticAI #SaaS #ArtificialIntelligence #DataDriven #Product #Marketing #Innovation #StartUp #GenerativeAI #AI

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: AI & the Future of Jobs, Q&A (Darian Chwialkowski, Third Stage Consulting) How Robotics is Transforming Manufacturing (Chad Wright, CIO, Boston Dynamics) Agentic AI (Eric Kimberling & Khalid Morris, Third Stage Consulting)   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Ted Shelton, Chief Operations Officer at Palo Alto-based Inflection AI, sits down with HFS Executive Research Leader David Cushman to discuss how Agentic is changing the pace of enterprise AI adoption. Key themes explored: The waves of agentic AI adoption—and how they'll reshape the enterpriseWhy observability and reversibility are non-negotiable in agentic deploymentsHow leaders can harness AI's cognitive surplus to unlock new business valueAgentic AI is here—and it's moving fast. Enterprise leaders must take control, demand visibility, and build systems they can trust and refine. Dive deeper into our Market Vision Paper titled “Unlock enterprise AI value with persona-led solutions to meet the urgent needs of C-suite execs” here: https://www.hfsresearch.com/research/unlock-enterprise-ai-value-with-persona-led-solutions-to-meet-the-urgent-needs-of-c-suite-execs/

Co-hosts Michael LeBlanc and Steve Dennis return from ShopTalk brimming with insights on the rapidly shifting retail environment. They kick off by breaking down the rollercoaster of consumer confidence, spurred by persistent inflation and ongoing uncertainty. The conversation touches on potential reverberations from looming tariffs that could drive up costs and shake consumer sentiment. Headlines from major brands paint a mixed picture: Lululemon's cautious optimism contrasts with H&M's ongoing struggle to redefine its place in fast fashion, while Dollar Tree's dramatic divestment of Family Dollar underscores the perils of poorly integrated acquisitions. Meanwhile, Chewy's robust earnings provide a bright spot.Also fueling industry chatter is the arrival of French department store Printemps in Lower Manhattan, sparking excitement among those who see it as a bold venture amid broader department store decline. The conversation pivots to Canada's retail landscape, where Hudson's Bay's long-anticipated liquidation underscores the challenges legacy retailers face in a hyper-competitive era.  The second half of the show features a conversation with Lowe's SVP Product and Technology, Data and AI, Chandhu Nair, who outlines the home improvement retailer's sweeping digital transformation. Aware that their category historically lagged in technology adoption, Lowe's has accelerated its efforts, focusing on delivering customer-centric solutions while modernizing decades-old infrastructure. With the newly launched MyLow application, shoppers can receive instant project advice, seamless product recommendations, and integrated how-to guidance. For professionals, speed, in-stock reliability, and tailored credit remain top priorities.Nair emphasizes that data and AI make up only 30% of the equation, with the remaining 70% tied to organizational change and process reengineering. The discussion highlights Lowe's approach to fostering innovation: start small, iterate quickly, and focus on core customer needs rather than novelty for novelty's sake. In addition, immersive experiences such as the Lowe's Style Studio for Apple Vision Pro build on years of research and strategic experimentation. By proactively partnering with leading tech companies and harnessing new capabilities like generative AI, Lowe's aims to stand out in a competitive retail market. Ultimately, Nair's insights underscore a cultural shift where failing responsibly is integral to success, and where the ability to adapt quickly defines a retailer's future. About ChandhuAs senior vice president, data, artificial intelligence and innovation, Chandhu Nair leads Lowe's AI transformation office, data and analytics, and AI products and platforms teams. He also leads Lowe's Innovation Labs, focusing on emerging technologies and technology investments, and is responsible for the technology enabling marketing, Lowe's Media Network, personalization and loyalty experiences. He joined Lowe's in 2020.Chandhu has more than 20 years of experience in technology transformations. In a prior role at Lowe's, he was vice president, technology, omnichannel marketing and digital customer engagement, and spearheaded best-in-class technology product launches including Lowe's Pro loyalty program and media network. Before joining the company, he served as CEO and co-founder of Cognitive Retail Inc., a computer vision AI technology company providing U.S.-based retailers with advanced data analytics. He was also a managing partner and co-founder at Merkatus Partners, a strategy consulting firm focused on emerging technology investment services. Before that, he held global e-commerce and technology leadership roles at Staples Inc and Infosys. Chandhu earned a master's degree in general management and operations from Harvard University and a bachelor's degree in engineering – information technology from Bharathiar University, India. He serves on the Board of Industry Leaders at the Consumer Technology Association, as well as the advisory board for United Planet, a non-profit organization connecting volunteers in the areas of education, health and environmental sustainability with opportunities in more than 30 countries. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling authro of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is the president and founder of M.E. LeBlanc & Company Inc, a senior retail advisor, keynote speaker and now, media entrepreneur. He has been on the front lines of retail industry change for his entire career. Michael has delivered keynotes, hosted fire-side discussions and participated worldwide in thought leadership panels, most recently on the main stage in Toronto at Retail Council of Canada's Retail Marketing conference with leaders from Walmart & Google. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, CanWest Media, Pandora Jewellery, The Shopping Channel and Retail Council of Canada to his advisory, speaking and media practice.Michael produces and hosts a network of leading retail trade podcasts, including the award-winning No.1 independent retail industry podcast in America, Remarkable Retail with his partner, Dallas-based best-selling author Steve Dennis; Canada's top retail industry podcast The Voice of Retail and Canada's top food industry and one of the top Canadian-produced management independent podcasts in the country, The Food Professor with Dr. Sylvain Charlebois from Dalhousie University in Halifax.Rethink Retail has recognized Michael as one of the top global retail experts for the fourth year in a row, Thinkers 360 has named him on of the Top 50 global thought leaders in retail, RTIH has named him a top 100 global though leader in retail technology and Coresight Research has named Michael a Retail AI Influencer. If you are a BBQ fan, you can tune into Michael's cooking show, Last Request BBQ, on YouTube, Instagram, X and yes, TikTok.Michael is available for keynote presentations helping retailers, brands and retail industry insiders explaining the current state and future of the retail industry in North America and around the world.

In this latest episode, Geoff Scott, of ASUG, rejoins Mustansir Saifuddin to discuss the rapidly evolving landscape of AI within the SAP ecosystem, specifically focusing on the impact of partnerships like SAP and Microsoft's collaboration on Copilot and Joule. Listen in as we explore how these advancements will shape enterprise operations in 2025 and beyond, and why you can't afford to ignore this technological shift.to discuss what is required for businesses to be successful with Gen AI as they prepare for the future.  Geoff Scott, is CEO and Chief Community Officer of ASUG, believes that the connections ASUG makes for our members have the potential to become career-defining relationships that inspire innovation and success for their organizations. His forward-thinking leadership prioritizes helping our members make the most of their investment in SAP technologies. To that end, Geoff works closely with customers, members, the SAP Executive Board, and the extensive partner ecosystem to amplify the voice of the SAP customer.   Past positions include CIO for TOMS Shoes, where he led the implementation of SAP: CIO at JBS; and senior leadership positions at Ford Motor Company. Before becoming CEO, Geoff was an ASUG member and served on the board. Geoff has served on several philanthropic boards and is the founding member of the Denver CIO Executive Council.  Connect with Us: LinkedIn Mustansir Saifuddin Innovative Solution Partners  X:  @gscott16 @MmsaifuddinYouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript: [00:00:00] Mustansir Saifuddin: Welcome to Tech Driven Business, brought to you by Innovative Solution Partners. I'm honored to have Jeff Scott, CEO of as a, rejoin me to discuss the rapidly evolving landscape of AI within the SAP ecosystem, specifically focusing on the impact of partnerships like SAP and Microsoft's collaboration on copilot and Joule. [00:00:26] Mustansir Saifuddin: Listen in as we explore how these advancements will shape enterprise operations in 2025 and beyond, and why you can't afford to ignore this technological shift. [00:00:39] Mustansir Saifuddin: Thanks for coming back on our podcast. Geoff, it was really nice to have you back. You remember, you know you came on last year and we dove into this whole [00:00:48] Geoff Scott: Oh. [00:00:49] Mustansir Saifuddin: gen AI topic. Everybody remembers that, you know, it was a very hot topic last year and, you know, everybody was going in that direction. Now, fast forwarding everything to this year and say, Hey, what is going on? And this year, SAP has had some major announcements, as we all know about the partnerships that we leverage the power of AI within the SAP ecosystem. And what I see with the majority of SAP clients using Microsoft in the enterprises. There is a lot of opportunity in SAP and Microsoft , you know, the whole partnership, especially around copilot and SAP Joule. I believe it'll make a big impact. [00:01:30] Geoff Scott: I'm surprised you have me back. I was very nervous. It's a year later. I was like, okay, this is never gonna happen again. I, I disinvited myself from future podcasts. [00:01:39] Mustansir Saifuddin: Well, I have you back [00:01:42] Mustansir Saifuddin: on. [00:01:43] Mustansir Saifuddin: and I am telling you that it is more exciting than what we were talking about last year, and I think this is what I want to get some thoughts on, Hey, what's going on? What's your take on how these partnerships are coming together and what are we going to see in 2025? [00:02:01] Geoff Scott: Well, the good news is that what we see in 2025 is no apparent slowdown in any of this technology. You know, but what's interesting is we, in the SAP space, [00:02:13] Geoff Scott: are not necessarily meeting that challenge head on, and we probably are not moving as quickly as we should to capture the amount of opportunity that's out there. I, I think AI is real. It's gonna continue to evolve at a furious pace, and that necessitates that we as technology practitioners determine how we best leverage that technology. [00:02:36] Geoff Scott: You, you talked about Microsoft Copilot, Joule, right? I mean AWS. Bedrock , Google Gemini, you know, now we've got, other LLMs popping out all over the place. Right. , deep seek . Which just popped up very quickly. So there's just, a tremendous amount of movement here and it's really hard [00:02:57] Geoff Scott: to stay abreast of it. And I think the opportunity to jump in and start leveraging this is mission critical and what I think it really necessitates, and you talked about some announcements from SAP that I think double or triple down on this notion that AI is here, so if you really want to take your SAP data and make it AI enabled using Joule or using any other series of tools, [00:03:24] Geoff Scott: it's gonna necessitate that we as technology practitioners start to do some fairly radical things with our data. Number one is we start to de-customize everywhere we can and move the responsibility for code back to SAP so that they are responsible for figuring out how to make the AI work, not us. [00:03:42] Geoff Scott: So [00:03:42] Geoff Scott: , [00:03:42] Geoff Scott: how [00:03:42] Geoff Scott: do we over time de-customize and how do we over time think about the necessity of adopting SaaS based solutions such as SAP's Public Cloud? Many of our of our community members are implementing private cloud right [00:04:00] now through Rise which is great, but ultimately if we recreate all those customizations downstream, then we have to figure out how to make them AI enabled, and I think that's where we're gonna find ourselves under continuing amounts of stress as the business innovates faster and faster. [00:04:17] Geoff Scott: We typically in the SAP ecosystem, think about our innovations on a stair step model. And what I mean by that is we do an upgrade, we sit on that upgrade for a couple of years, as long as we possibly can. You know, and then we do an upgrade again. And the challenge I think that's gonna present is that there's so much innovation happening and, all these things are moving at such a speed that if we're not continuously innovating, [00:04:39] Geoff Scott: we are gonna find ourselves further and further behind. I, I'd like to see our SAP data be the sole source of truth inside our enterprises and an innovation gold mine. [00:04:49] Geoff Scott: And to do that, I think we have to de-customize. I think we have to be able to, innovate faster. I think we have to be able to look at this data, do a lot more work around archiving and getting the old stuff, swept up and moved out. Master data is gonna become a major, major opportunity for all of us. [00:05:05] Geoff Scott: And if we do all those things really, really well. We will have a fighting chance at making our enterprises very savvy. And on top of the latest trends versus trying to perpetually catch up. [00:05:16] Mustansir Saifuddin: It's a race, the way I look at it, and I think , you summed it up very well, and I think that leads me to my question into this whole topic of collaboration. Let's take that right now. What would you tell your SAP users about the power of Microsoft and SAP's collaboration? [00:05:33] Mustansir Saifuddin: How will it positively impact their day-to-day operations? Let's start with that. [00:05:38] Geoff Scott: Well, I, I think you set this up really well. We, we know from an ASUG research perspective that most SAP customers are also Microsoft customers. And that partnership has gone back almost as long as SAP and Microsoft have been in business. You know, there's some pictures I've seen of Bill Gates and Hasso Plattner, the two founders of both organizations working together early on. [00:06:04] Geoff Scott: So this is a partnership that goes back a long, long time and it's a tremendously powerful partnership. And it indicates to me that these are organizations that work very well together, very closely together and collaborate. I mean, almost everyone I know who works in SAP also uses Excel spreadsheets, also uses PowerPoint slides, [00:06:23] Geoff Scott: also creates Word documents. I do these almost every single day. It makes perfect sense to me that a tool such as Microsoft Copilot and SAP's Joule would be working in harmony together. And I think we're seeing some interesting innovation from both organizations where they're able to demonstrate that. [00:06:39] Geoff Scott: I saw some really cool, rag based technologies, a few weeks ago where a copilot can reach out and grab some data from SAP and bring it back. Likewise Joule is being able to show some similar capabilities. For most customers, as much as we'd like to have one AI tool, I just don't think that that's going to be the way this works. [00:06:58] Geoff Scott: I think we're gonna have multiple, which, which makes the enterprise architect's role that much more challenging because they're gonna have to figure out how to integrate these tools, when these tools are best used, how they're used, and how do we as as organizations, get value from them. [00:07:15] Mustansir Saifuddin: Absolutely. And if you take this a step further, right? The hype around Agentic AI, everybody's talking about agents. What are you seeing in the marketplace? What, what is your take? [00:07:25] Mustansir Saifuddin: How are SAP users benefitting from Agentic AI within their organizations? [00:07:31] Geoff Scott: As it relates specifically to the SAP ecosystem, my. My perception, maybe right or wrong, probably more wrong than right, is that many of them are investigating and researching. I haven't necessarily seen any specific in production, customer running, agentic AI using SAP dot dot yet. Is it coming? [00:08:00] I think it's coming. [00:08:01] Geoff Scott: Has everyone figured this out yet? No certainly SAP's talking about it. I saw some presentations from the AI team at SAP led by Philip Herzig where they're demonstrating a lot of this. And I think it's gonna be very interesting to watch how agentic, you know, agent-based AI starts to manage tasks. [00:08:19] Geoff Scott: And I'm very keen to see how this works. [00:08:24] Mustansir Saifuddin: It's still very early on in, in this space where a lot of SAP customers are thinking about using it. But [00:08:32] Mustansir Saifuddin: how [00:08:32] Mustansir Saifuddin: do we really find a use case that is really beneficial to the organization at least from a investment standpoint, the time standpoint , and the value add you get as a, as a result of this application basically. [00:08:47] Geoff Scott: And I think the, the potential challenge with agentic AI is it also has to be reasonable from a, you know, a what is this agent, what is this agent's tasks? One of the things that we all know about the SAP ecosystem is we exist here because our businesses are complicated. Someone used to say to me, if, if you didn't need to run SAP, you wouldn't. [00:09:11] Geoff Scott: Right. So you know, most of the organizations that run SAP are of a, a sufficient size and scale and complexity, whether that be that they're multiple businesses running, they have international components, the business makes a complicated product that has a lot of configuration to it, right? There's reasons why these organizations are running SAP. [00:09:32] Geoff Scott: So that kind of then begets the next point, which is, an agent based AI. It's going to have to be fairly complicated in order to handle all of those different, particulars of a business. So I, I think it's gonna be interesting to watch how organizations slice that down to make it so that they can demonstrate some success early days without making the agents so complicated that they basically can't function. [00:09:58] Geoff Scott: You know, even some of this agent AI we talk about that seems like really simple. Like, Hey, I want to go out to eat at a restaurant tonight. Have agentic AI make a reservation. When you break that down. How does it do that? what type of food do you want? [00:10:13] Geoff Scott: I don't know. Maybe Italian, maybe French, maybe American. What about what time do you want to eat? How far away do you want to go? And so much of that is, is left to our brains to just on a whim, we make these decisions. How do you have that conversation with AG Agentic AI, right? Where it says, Hey, you know, here's a reservation at Italian restaurant at six 30. [00:10:32] Geoff Scott: Nah, well, 6 45, nah. Well, what do you want? Not Italian. Well, what do you want instead? I don't know French. No. You want a burger? Nah, I don't feel like a burger tonight. I mean, oh my God. I mean, it's exhausting. [00:10:47] Mustansir Saifuddin: Let's take a step up, right? Let's, let's talk about from SAP customers, you know. Everybody's getting on this [00:10:55] Mustansir Saifuddin: What word of advice would you have for SAP customers when they get further into the journey with AI? Like, what are the things that they should be looking at? [00:11:03] Geoff Scott: First and foremost, take the time to experiment, right? I mean, if you're not using these AI tools every day start. And this has taken me a little bit of time to warm up to, I'm finding now that, I have enough, road underneath my tires that it's hard for me to do new things, [00:11:22] Geoff Scott: 'cause I'm fairly, you know, set in my ways. But if I don't, use these tools to do things, I'm just not, I'm not learning. And so I. As an example, I'm recording a podcast tomorrow with a couple of fellow ASUG board members, and last night I needed to get them some prep materials. [00:11:40] Geoff Scott: I uploaded three or four documents into Claude and I said, please look at these three documents and I need to brief the podcast participants on what they say. And it looked at all three documents and it coughed up a pretty darn good summary. [00:11:55] Geoff Scott: Perfect? No. Pretty good. Yes. Was it [00:12:00] easier that I didn't, I didn't have to go and look at each document and figure out what to say. I could take a look at its summarization and determine if that was something that I wanted, that I thought was accurate and something that I thought we could share. And the answer was it was pretty good. [00:12:15] Geoff Scott: That was a great experiment. And then I said, okay, now create the podcast questions. And it did it. Now, are we using all of them? No. Did it give me at least a starting point? A hundred percent. And by the way, for the people out there was like, oh my God. He put that into, he put that into Claude. Oh my God. What about the security things? We own a subscription to Claude. So it was in a subscription. It was, it was in our protected space. It was public information. So, you know, but you gotta think about those things, right? [00:12:42] Mustansir Saifuddin: . [00:12:42] Mustansir Saifuddin: Absolutely. And I think the one thing that you hit upon is time to value, right? When you look at these tools, these technology aspects of how it can make things faster, better . But it brings up another point, like when, when you look at these, these use cases, everything is about data. What you feeding into the model. [00:13:07] Mustansir Saifuddin: So, you know, from a data perspective, I know a lot of customers doesn't matter, SAP or other technologies, and especially in SAP you know, either struggle with clean governed data and kind of makes it very difficult. So what, what's your take on that in that space? You know, especially when they are ready to go to the AI [00:13:32] Mustansir Saifuddin: journey, but they have some work to do. [00:13:34] Geoff Scott: I think there's a tremendous amount of work to do on this, and this kind of comes back to a part of our earlier dialogue that I think that data has to be right. Right. If, if we're gonna succeed in this future AI enabled world, the data that is being accessed, from your SAP systems, whether through some sort of rag or wherever you're doing, it has to be accurate. [00:13:57] Geoff Scott: So the archiving perspective of this has to be right. And you know also what has to be right is your ability to get master data correct. So if you have the same customer in your SAP system, this is an easy example, five times. Well, you now have increased by factors, the likelihood that the answer that pops back is wrong. [00:14:18] Geoff Scott: So, you know, we've been talking about this for a long time, that your SAP data has to be accurate, has to be right, and SAP data is very accurate at the time that it was entered. I think this is one of the brilliant things about SAP. And where we as SAP, you know, professionals spend so much time is getting the data into the system correctly from the get go. [00:14:41] Geoff Scott: The problem is it doesn't age so well, right? It's not like a fine wine. It can sometimes get a little stale and old and if we're not also getting it broomed out. The challenge we run into is it could be part of a , hallucination that we're not aware of. And if all of a sudden people are looking at this data and making broader based decisions on it, and the decision processes was flawed and the data's flawed, we could be making a lot of really bad decisions. [00:15:12] Mustansir Saifuddin: Yeah, absolutely. Data and analytics is very near and dear to me. So I, I know that whole conversation about getting The data clean, having that value around data, right. Which drives a lot of those those results out of the tools that we [00:15:28] Mustansir Saifuddin: want to apply. Especially. [00:15:30] Geoff Scott: It's all gonna come down to data at the end of the day, right? The data wins and the accuracy of the data wins. And the more that we're gonna use these tools to summarize and roll up, the higher the risk that that summary is inaccurate because the data underneath it isn't right. [00:15:49] Geoff Scott: We had this conversation in an ASUG executive exchange forum last week. And I think most people are starting to recognize that , if you have been [00:16:00] deferring your archiving routines, now might be a good time to get some of that back under control. [00:16:07] Mustansir Saifuddin: Yeah, [00:16:08] Geoff Scott: Most of the models right now, the L lms right, are based on data that doesn't, that the, you know books, fueling [00:16:15] Geoff Scott: research reports, fueling these LLMs that that data has been around for a long time and is, and has stood the test of time. Most of our SAP data, you know, has to be thought of through a very specific lens. But I, I think it's critical, a hundred percent critical. [00:16:33] Mustansir Saifuddin: Yeah. So let, so let's take it down a, a notch, right? From an ASUG perspective, how have you seen ASUG members approaching realtime data analytics moving to the cloud? I know ASUG does a lot of research on this. What have you seen? What, what do you see in this year? [00:16:49] Geoff Scott: So I think, you know, almost everyone is having cloud conversations, which is the beginning of this, because I don't think you can innovate at scale if you're not thinking about moving into the cloud. You know, the other thing is, is that most of these solutions, if you think about the innovation curve, mostly solutions are gonna appear first in the latest additions of your software. [00:17:08] Geoff Scott: So if you can't start innovating at a faster and faster cycle, move out of the stair step you and I discussed earlier, moving to a constant innovation framework, you're gonna find yourself further and further behind because if you want to take advantage of innovation at scale at the time it's released or near to the time it's released you need to be on the latest versions of software. [00:17:27] Geoff Scott: The hard reality of most of our ecosystem is we are not. And if we are not, that's where this stuff is gonna appear first. Will it make it down to other versions of the software? Yes. Is it gonna be on SAP's first order priority to do that? No. They're gonna want to make sure where they get it out [00:17:44] Geoff Scott: to market fast and they're gonna look at their latest versions of the software to do that, where they're the most comfortable. You know, there's this question, why can't I run AI in my on-prem data center? Well, you could, but you're gonna have to do all of that lift by yourself. And that becomes a very costly exercise that unless you're the bigs of the bigs, is probably outside of your budget to do that. [00:18:08] Geoff Scott: So if you want to do this with some degree of economy, you have to be in the cloud, you have to de-customize. You have to think about your SAP implementation as a SaaS service, push accountability and responsibility for code and business process back to SAP, right? I mean, I, I think that, you know, what has AI told me, loud and clear at a volume level of 11? [00:18:30] Geoff Scott: We as SAP customers now more than ever, need to stop customizing and moving responsibility for code back to SAP, 'cause if we don't, we are never gonna be able to keep up. .In, in addition to that, that many of us over these years have outsourced our application maintenance services. We rely on consultants to do most of the work we need done, right, so we're not even in control of the productive resources necessary to make this stuff a reality. [00:19:05] Geoff Scott: We are project managers. We are business analysts, right? We don't necessarily know how to write code to do this, and if we're gonna have to rely on outside resources every time we make one of these moves, that's gonna be super costly and super slow. [00:19:22] Mustansir Saifuddin: Yeah. I hear you. [00:19:23] Mustansir Saifuddin: and I know the ASUG community hears that [00:19:26] Geoff Scott: But we have a lot in our ASUG community, right, who have been around for a long time that says, well, you know, my job is an ABAP programmer. What do you want me to do next? Or I'm a basis person and I don't like this. And I'm like, you are some of the people that are in , the best position to retool and relearn. [00:19:42] Geoff Scott: We're all gonna have to relearn. And, you know, is your business's, joy in life to have you produce more ABAP code or figure out how to get that ABAP code out, move it to SAP and say, congratulations, SAP, you're now responsible for this. Here's what I need this business process to do. Right. [00:20:00] And using your, using ASUG to help you influence that business process, instead of you saying, well, I'm gonna just take it and twist it to my own needs. [00:20:08] Geoff Scott: Even with me saying that, I still think that there's a lot of distance that SAP has to travel, by the way, I don't think they have this figured out. I don't think that they'll look at this and they go, yep, we got this. You just, you know, trust us. No, I think in certain areas they have this well done. [00:20:23] Geoff Scott: In other areas they do not. So what's the best thing we can do? Help them get there faster, influence them, participate in your ASUG chapter meetings, have a voice, talk about where you're hitting challenges. How do we need SAP to make better business processes? How are we gonna use the, you know, the tools that they have, like Lean IX and Signavio to help drive some of this? [00:20:48] Geoff Scott: That's to me where this is gonna need to happen. I would much prefer to have SAP struggle to keep up with business process than have. 10,000, 15,000, 20,000 customers do it on their own. It doesn't scale. [00:21:03] Mustansir Saifuddin: No, it doesn't. And I think, and that's a fair point, right? And this is where the value of ASUG comes in. And, and I mean the journey is long, but the, the path is there for us to follow. [00:21:14] Geoff Scott: I, I, yeah. [00:21:14] Mustansir Saifuddin: Right. And that's the, [00:21:15] Geoff Scott: I think the journey is long and the journey is more important than ever. It's time to get off the couch and go out and start walking, and then when you can walk, you can run, then, you know, then you can sprint. And I think , that's kind of the, the message that we're giving as ASUG is this isn't gonna slow down for you, you're gonna have to catch up to it. [00:21:32] Mustansir Saifuddin: No, I think, and that's the message. A lot of people are hearing loud and clear now, especially 2025 has brought in that that whole concept of either you go along with it or you're gonna be left behind. [00:21:44] Geoff Scott: Or, or, or at some point you're going to have to catch up, and the question is, is how much lifting are you gonna have to do to get there? I, again, I don't think this is easy. I, I don't think that there's , a magic pill we can swallow, you know, that that cleans us all up and we're all perfect. [00:22:01] Mustansir Saifuddin: No. No, for sure. And I think I, I know we talked about a lot of things today and we can keep on talking and the journey keeps on you know, is it's a [00:22:11] Geoff Scott: It's journey. [00:22:11] Mustansir Saifuddin: it's, [00:22:12] Geoff Scott: Yeah. [00:22:12] Mustansir Saifuddin: ending, but what, what is the one key takeaway that you want to leave with the listeners [00:22:18] Geoff Scott: One key takeaway [00:22:18] Mustansir Saifuddin: as we wrap up? [00:22:19] Geoff Scott: it. [00:22:20] Mustansir Saifuddin: Yep. [00:22:21] Geoff Scott: Spend time experimenting and learning this stuff. Get comfortable being uncomfortable with these tools. Use them. Think about how your business can benefit from them. Spend some time, you know, in BTP learning how to access these LLMs through your BTP interface. If you're having a challenge getting a business case written to move from your ECC environment to S 4. [00:22:46] Geoff Scott: Talk to us at ASUG, we will help you with that. Go to a chapter meeting and ask others how they made that investment work. Spend some time, you know, if you don't have a, a license for copilot where you and I started this afternoon, ask your IT counterparts to have access to copilot, use it. [00:23:04] Ask it questions, engage in iterative rep iterative prompts. These are things I think the, the faster we get comfortable with these technologies, the better off we as technologists will have light bulbs go off and say, oh, I, now I get how I can really put agent AI to work. Right. And I'm not gonna listen to just, you know, Microsoft, you know, talk about it or SAP talk about it. [00:23:24] Geoff Scott: I actually have some ideas. And these are good ideas and I'm excited, I'm excited to share 'em. Get out of the stands and on the field. [00:23:32] Mustansir Saifuddin: And who better do it? I mean, I think I, I love , your closing, right? Especially when you are looking at your own business, your own technology, and your way of doing things. Who better can come up with , a solution , or see the applications of these co-pilot Gemini, no matter what I mean, type of tools you can use. [00:23:51] Mustansir Saifuddin: But these are , the ways you can innovate, right by looking at the processes. [00:23:56] Geoff Scott: Yes. Someone told me that they set up two agentic AI bots [00:24:00] and the two of them constructed a podcast and it was pretty good. So withstand zero. I'm worried that next time you and I meet, it's not gonna be you or I, it's gonna be our agentic AI counterparts, some version of us. [00:24:14] Mustansir Saifuddin: and yeah, I'm looking forward to it. I think it is here. It's going to be here at some point, so might as well embrace it. [00:24:22] Geoff Scott: Yeah. Absolutely. [00:24:23] Mustansir Saifuddin: Thanks for listening to Tech-Driven Business brought to you by Innovative Solution Partners. Embracing innovation is no longer an option, but really a necessity for enterprise success. Geoff's key takeaway? Proactive experimentation with AI is crucial for SAP users to discover its business benefits. Engage with tools like copilot and Joule, participate in ASUG, and push for cloud migration to stay ahead of the rapid technological changes. We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or x. Learn more about Innovative Solution Partners and schedule a free consultation by visiting isolutionpartners.com. Never miss a podcast by subscribing to our YouTube channel. Information is in the show notes. I.

Seattle-based Temporal has made its name over the last several years in the world of microservices — specifically providing a platform to orchestrate the messy business of building and operating integrations and updates across disparate services and apps in the cloud. But the AI boom has come at the company fast. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Artificial intelligence is continuing to evolve beyond generative AI's input/output model to agentic AI, where intelligent systems can autonomously plan, reason and take action with minimal human oversight. This shift presents potential opportunities and challenges for healthcare IT leaders, as it will impact decision-making, workflow automation, and clinical operations. Source: Contemplating an Agentic AI Future: What IT Leaders Need to Know on healthsystemcio.com - healthsystemCIO.com is the sole online-only publication dedicated to exclusively and comprehensively serving the information needs of healthcare CIOs.

Agentic AI is AI that does your work, right? ⚙️And Physical AI is just robots and stuff, right?

Inside SAP Business NetworkThe Big Themes:New Organizational Structure: SAP reorganized its internal teams by combining Business Network and Digital Supply Chain into a new unit: Supply Chain Management. While this may sound like internal restructuring, Tony Harris explained that for customers, it signals a major innovation push. A major focus in 2025 will be on supply chain orchestration and supply chain risk — two areas that demand real-time responsiveness and cross-functional collaboration.SAP Business Network as a Response to Tariffs and Disruption: With the rise of geopolitical tensions, trade wars, and tariffs, companies need to rapidly adjust their supplier bases. SAP Business Network helps companies respond to such disruptions. If tariffs threaten certain international suppliers, businesses can use SAP Business Network to quickly identify alternative suppliers in unaffected regions or within domestic markets.Introducing SAP Business Network Promote Subscription: On the very day of the interview, SAP launched a new subscription service called SAP Business Network Promote, designed specifically for suppliers. This offering helps vendors raise their visibility and connect with global buyers on SAP Business Network. Features include enhanced and verified company profiles, uploading of full product catalogs, and access to AI-powered tools for responding to requests for information (RFIs), improving content, and correcting invoice errors. Suppliers also receive robust data insights.

La evolución de Agentic AI y la IA Generativa está transformando el ciclo de desarrollo de software. Más allá de acelerar la codificación, estas tecnologías están redefiniendo el papel de los desarrolladores, automatizando procesos y exigiendo nuevas habilidades más allá de la programación tradicional.En el tercer episodio del pódcast sobre Agentic AI, expertos de NTT DATA analizan:Cómo la IA Generativa está impactando la creación e implementación de software.El potencial disruptivo de Agentic AI en el mercado tecnológico.La transformación del perfil de los desarrolladores, que ahora deben combinar experiencia técnica con visión empresarial.Pablo Sáez, Luis Quiles Ardila y Evandro Luis Armelin exploran los desafíos y oportunidades de esta revolución.#NTTDATALatam #AgenticAI #IAGenerativa #DesarrolloDeSoftware

Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships, AI systems often rely on fixed context windows, leading to loss of important past interactions. Zep is a startup that's developing a memory layer for AI agents using The post Knowledge Graphs as Agentic Memory with Daniel Chalef appeared first on Software Engineering Daily.

⬥GUEST⬥Ken Huang, Co-Chair, AI Safety Working Groups at Cloud Security Alliance | On LinkedIn: https://www.linkedin.com/in/kenhuang8/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥In this episode of Redefining CyberSecurity, host Sean Martin speaks with Ken Huang, Co-Chair of the Cloud Security Alliance (CSA) AI Working Group and author of several books including Generative AI Security and the upcoming Agent AI: Theory and Practice. The conversation centers on what agentic AI is, how it is being implemented, and what security, development, and business leaders need to consider as adoption grows.Agentic AI refers to systems that can autonomously plan, execute, and adapt tasks using large language models (LLMs) and integrated tools. Unlike traditional chatbots, agentic systems handle multi-step workflows, delegate tasks to specialized agents, and dynamically respond to inputs using tools like vector databases or APIs. This creates new possibilities for business automation but also introduces complex security and governance challenges.Practical Applications and Emerging Use CasesKen outlines current use cases where agentic AI is being applied: startups using agentic models to support scientific research, enterprise tools like Salesforce's AgentForce automating workflows, and internal chatbots acting as co-workers by tapping into proprietary data. As agentic AI matures, these systems may manage travel bookings, orchestrate ticketing operations, or even assist in robotic engineering—all with minimal human intervention.Implications for Development and Security TeamsDevelopment teams adopting agentic AI frameworks—such as AutoGen or CrewAI—must recognize that most do not come with out-of-the-box security controls. Ken emphasizes the need for SDKs that add authentication, monitoring, and access controls. For IT and security operations, agentic systems challenge traditional boundaries; agents often span across cloud environments, demanding a zero-trust mindset and dynamic policy enforcement.Security leaders are urged to rethink their programs. Agentic systems must be validated for accuracy, reliability, and risk—especially when multiple agents operate together. Threat modeling and continuous risk assessment are no longer optional. Enterprises are encouraged to start small: deploy a single-agent system, understand the workflow, validate security controls, and scale as needed.The Call for Collaboration and Mindset ShiftAgentic AI isn't just a technological shift—it requires a cultural one. Huang recommends cross-functional engagement and alignment with working groups at CSA, OWASP, and other communities to build resilient frameworks and avoid duplicated effort. Zero Trust becomes more than an architecture—it becomes a guiding principle for how agentic AI is developed, deployed, and defended.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥BOOK | Generative AI Security: https://link.springer.com/book/10.1007/978-3-031-54252-7BOOK | Agentic AI: Theories and Practices, to be published August by Springer: https://link.springer.com/book/9783031900259BOOK | The Handbook of CAIO (with a business focus): https://www.amazon.com/Handbook-Chief-AI-Officers-Revolution/dp/B0DFYNXGMRMore books at Amazon, including books published by Cambridge University Press and John Wiley, etc.: https://www.amazon.com/stores/Ken-Huang/author/B0D3J7L7GNVideo Course Mentioned During this Episode: "Generative AI for Cybersecurity" video course by EC-Council with 255 people rated averaged 5 starts: https://codered.eccouncil.org/course/generative-ai-for-cybersecurity-course?logged=falsePodcast: The 2025 OWASP Top 10 for LLMs: What's Changed and Why It Matters | A Conversation with Sandy Dunn and Rock Lambros⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

Contextual memory in AI is a major challenge because current models struggle to retain and recall relevant information over time. While humans can build long-term semantic relationships, AI systems often rely on fixed context windows, leading to loss of important past interactions. Zep is a startup that's developing a memory layer for AI agents using The post Knowledge Graphs as Agentic Memory with Daniel Chalef appeared first on Software Engineering Daily.

The Institute of Internal Auditors Presents: All Things Internal Audit Tech In this episode, Warren Stippich speaks with Ethan Rojhani about the evolving role of agentic artificial intelligence in internal auditing. They discuss how agentic AI differs from traditional AI, its impact on risk assessment, and the skills internal auditors will need to adapt. They talk about the ethical considerations, automation of controls testing, and the future of AI-driven audit execution. Host:  Warren Stippich, CIA, CRMA, CPA, national managing principal — Advisory Services Quality and Risk, Grant Thornton  Guest:  Ethan Rojhani, CPA, CFE, principal, Grant Thornton   Key Points Introduction [00:00-00:00:06] What is Agentic AI? [00:07-01:34] Key Differences Between Traditional AI and Agentic AI [01:35-05:45] The Future of Agentic AI in Internal Auditing [05:46-09:51] Real-world Applications of Agentic AI in Internal Audit [09:52-12:25] Shifting from Compliance to Advisory Roles [12:26-19:13] Ethical and Risk Considerations [19:14-25:51] The Future of Internal Auditors in an AI-driven World [25:52-30:34] Advice for Auditors on Adopting AI [30:35-33:02] Final Thoughts [33:03-36:04] The IIA Related Content Interested in this topic? Visit the links below for more resources:  The IIA's 2025 Analytics, Automation and AI Virtual Conference The IIA's Vision 2035 Report Knowledge Centers: Artificial Intelligence Auditing the Cybersecurity Program Certificate Implementing The IIA's New Cybersecurity Topical Requirement Cybersecurity Topical Requirement "Undercover AI," Internal Auditor magazine  The IIA's Updated AI Auditing Framework Visit The IIA's website or YouTube channel for related topics and more. Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer

⬥GUEST⬥Ken Huang, Co-Chair, AI Safety Working Groups at Cloud Security Alliance | On LinkedIn: https://www.linkedin.com/in/kenhuang8/⬥HOST⬥Host: Sean Martin, Co-Founder at ITSPmagazine and Host of Redefining CyberSecurity Podcast | On LinkedIn: https://www.linkedin.com/in/imsmartin/ | Website: https://www.seanmartin.com⬥EPISODE NOTES⬥In this episode of Redefining CyberSecurity, host Sean Martin speaks with Ken Huang, Co-Chair of the Cloud Security Alliance (CSA) AI Working Group and author of several books including Generative AI Security and the upcoming Agent AI: Theory and Practice. The conversation centers on what agentic AI is, how it is being implemented, and what security, development, and business leaders need to consider as adoption grows.Agentic AI refers to systems that can autonomously plan, execute, and adapt tasks using large language models (LLMs) and integrated tools. Unlike traditional chatbots, agentic systems handle multi-step workflows, delegate tasks to specialized agents, and dynamically respond to inputs using tools like vector databases or APIs. This creates new possibilities for business automation but also introduces complex security and governance challenges.Practical Applications and Emerging Use CasesKen outlines current use cases where agentic AI is being applied: startups using agentic models to support scientific research, enterprise tools like Salesforce's AgentForce automating workflows, and internal chatbots acting as co-workers by tapping into proprietary data. As agentic AI matures, these systems may manage travel bookings, orchestrate ticketing operations, or even assist in robotic engineering—all with minimal human intervention.Implications for Development and Security TeamsDevelopment teams adopting agentic AI frameworks—such as AutoGen or CrewAI—must recognize that most do not come with out-of-the-box security controls. Ken emphasizes the need for SDKs that add authentication, monitoring, and access controls. For IT and security operations, agentic systems challenge traditional boundaries; agents often span across cloud environments, demanding a zero-trust mindset and dynamic policy enforcement.Security leaders are urged to rethink their programs. Agentic systems must be validated for accuracy, reliability, and risk—especially when multiple agents operate together. Threat modeling and continuous risk assessment are no longer optional. Enterprises are encouraged to start small: deploy a single-agent system, understand the workflow, validate security controls, and scale as needed.The Call for Collaboration and Mindset ShiftAgentic AI isn't just a technological shift—it requires a cultural one. Huang recommends cross-functional engagement and alignment with working groups at CSA, OWASP, and other communities to build resilient frameworks and avoid duplicated effort. Zero Trust becomes more than an architecture—it becomes a guiding principle for how agentic AI is developed, deployed, and defended.⬥SPONSORS⬥LevelBlue: https://itspm.ag/attcybersecurity-3jdk3ThreatLocker: https://itspm.ag/threatlocker-r974⬥RESOURCES⬥BOOK | Generative AI Security: https://link.springer.com/book/10.1007/978-3-031-54252-7BOOK | Agentic AI: Theories and Practices, to be published August by Springer: https://link.springer.com/book/9783031900259BOOK | The Handbook of CAIO (with a business focus): https://www.amazon.com/Handbook-Chief-AI-Officers-Revolution/dp/B0DFYNXGMRMore books at Amazon, including books published by Cambridge University Press and John Wiley, etc.: https://www.amazon.com/stores/Ken-Huang/author/B0D3J7L7GNVideo Course Mentioned During this Episode: "Generative AI for Cybersecurity" video course by EC-Council with 255 people rated averaged 5 starts: https://codered.eccouncil.org/course/generative-ai-for-cybersecurity-course?logged=falsePodcast: The 2025 OWASP Top 10 for LLMs: What's Changed and Why It Matters | A Conversation with Sandy Dunn and Rock Lambros⬥ADDITIONAL INFORMATION⬥✨ More Redefining CyberSecurity Podcast: 

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVMFULL SHOW NOTES https://www.microsoftinnovationpodcast.com/668 Microsoft's digital technology specialist from Singapore shares insights on enterprise-scale Power Platform implementations and how AI is transforming business processes across industries. We explore the psychology behind enterprise architects' resistance to low-code platforms and examine real-world success stories from major banks and global organizations.TAKEAWAYS• The psychological barriers enterprise architects face when considering low-code platforms• Parallels between historical resistance to .NET and today's hesitation about Power Platform• Case study of a major bank that improved performance 12-fold by migrating from legacy ERP• How a UK bank used Power Automate to fix a critical integration in hours instead of weeks• The impact of agentic AI on eliminating "performance leaks" in organizational workflows• Transforming contact centers with intelligent routing and AI-powered agent assistance• Why smaller organizations without legacy data "baggage" are well-positioned for AI adoption• How the Power Platform enables consolidation of business processes similar to data lakesThis year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. DynamicsMinds is a world-class event in Slovenia that brings together Microsoft product managers, industry leaders, and dedicated users to explore the latest in Microsoft Dynamics 365, the Power Platform, and Copilot.Early bird tickets are on sale now and listeners of the Microsoft Innovation Podcast get 10% off with the code MIPVIP144bff https://www.dynamicsminds.com/register/?voucher=MIPVIP144bff Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Steven Dickens believes the A.I. trade isn't just alive, but growing stronger. He points to bullish sentiment behind Nvidia (NVDA) CEO Jensen Huang's GTC 2025 presentation as signs that the industry isn't going away. In the software space, Steven points to Oracle (ORCL) as a key player to evolve cloud and agentic A.I. technology.======== 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

This week, JP Bourget from Blue Cycle is with us to discuss Building the SOC of the Future Then, Michael Mumcuoglu (Moom-cuoglu) from CardinalOps joins us to talk about improving detection engineering. In the enterprise security news, Google bets $32B on a Wiz Kid Cybereason is down a CEO, but $120M richer EPSS version 4 is out Github supply chain attacks all over A brief history of supply chain attacks Why you might want to wait out the Agentic AI trend Zyxel wants you to throw away their (old) products HP printers are quantum resilient (and no one cares) A giant rat is my hero All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-399

This week, JP Bourget from Blue Cycle is with us to discuss Building the SOC of the Future Then, Michael Mumcuoglu (Moom-cuoglu) from CardinalOps joins us to talk about improving detection engineering. In the enterprise security news, Google bets $32B on a Wiz Kid Cybereason is down a CEO, but $120M richer EPSS version 4 is out Github supply chain attacks all over A brief history of supply chain attacks Why you might want to wait out the Agentic AI trend Zyxel wants you to throw away their (old) products HP printers are quantum resilient (and no one cares) A giant rat is my hero All that and more, on this episode of Enterprise Security Weekly. Show Notes: https://securityweekly.com/esw-399

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About Harpaul Sambhi:Harpaul Sambhi is the CEO and Co-Founder of Magical and a Limited Partner at Various VC funds. He previously worked as an Advisor at On Deck, an Entrepreneur In Residence at Bain Capital Ventures, and a former Product Manager at Microsoft. Harpaul attended the University of Waterloo.Things You'll Learn:AI is evolving from simple automation to Agentic AI, which can learn, adapt, and make decisions.Healthcare workers spend too much time on administrative tasks, but AI can automate these and improve patient care.RPA is becoming obsolete, while Agentic AI offers a more flexible and intelligent solution.AI in RCM can reduce denials, lower costs, and speed up reimbursements, improving financial performance.Successful AI implementation requires clear goals, collaboration, and adaptability.Resources:Connect with and follow Harpaul Sambhi on LinkedIn.Learn more about Magical on their LinkedIn and website.

This week on The Audit Podcast, we're joined by Andrew Clark, Co-Founder and CTO of Monitaur.   In this episode, Andrew shares his unique perspective on agentic AI, challenging common assumptions about what AI agents actually are. He explores the marketing problem with AI and agents, why agents might not be what we think, and the governance challenges that come with them.   Be sure to connect with Andrew on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   5:22 – ChatGPT: Jack of All Trades, Master of None? 7:00 – Picking the Right Language Model 11:33 – What the Future Holds for AGI 16:15 – What AI Agents Are Really About 19:52 – The Marketing Issue with AI and Its Agents 25:06 – The Trouble with AI Agents 31:23 – How to Regulate AI and Its Agents 42:45 - Final thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

Stephen Wolfram answers questions from his viewers about the future of science and technology as part of an unscripted livestream series, also available on YouTube here: https://wolfr.am/youtube-sw-qaQuestions include: What, exactly, is an "AI agent"? "Agentic"? It seems like nobody knows what those words actually mean today. - Can you tell us about the future of media/information consumption? Will we become a society of "AI summaries" as our main form of information gathering? - Before AI summaries, there were encyclopedias and textbooks and CliffsNotes and such, and while they were useful and convenient, they never became de facto. - When will we get the first AI/robot news reporter? I see these being useful in cases of dangerous live broadcasting like hurricanes, to keep people up to date. - How far are we from LLMs generating a Stephen Wolfram–style long-form post, with similar elucidations, based on a short prompt of the key insight or topic? - When you say the teaching is delegated to the machine, are you saying that the machine is telling the student what to think about instead of just answering questions? - Can a sentient AI "understand" how humans learn? If we would delegate to them the teaching of human kids, would that be compatible with a biological point of view? - Have you ever considered entering the robotics space? A Wolfram Robotics, so to speak? - But if people delegate all calculations to the machines, then might it not happen that the machine actually learns to ask better questions than the humans can, since the machines have the experience built from the calculations and the humans don't? - What will AI not be able to do? Do you believe that something like that exists? - Tiny humans care about those questions about clouds and trees. - Robotic trade shows sound interesting. The company Boston Dynamics shows a lot of progress in the humanoid department. - Anything to say about the future of pi? (Happy Pi Day!) - ​​Do you expect LLM development to hit significant diminishing returns within the next 2–3 years? - Automated theorem proving is so interesting. I'm trying to figure out how to make a theorem prover that demonstrably collapses a/the wavefunction. Like Stephen said; quantum LLMs.

This week on The Audit Podcast, we're joined by Andrew Clark, Co-Founder and CTO of Monitaur.   In this episode, Andrew shares his unique perspective on agentic AI, challenging common assumptions about what AI agents actually are. He explores the marketing problem with AI and agents, why agents might not be what we think, and the governance challenges that come with them.   Be sure to connect with Andrew on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:48 - Using ChatGPT for Idea Generation 9:06 - Integrating Analytics into the Audit Process 16:12 - Navigating the Analytics Journey 22:04 - The Impact of Data Literacy 27:41 - SOX Automation 30:19 - Blockchain Trends in 2025 35:52 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

In this episode, we sit down with Lior Div and Nate Burke of 7AI to discuss Agentic AI, Service-as-Software, and the future of Cybersecurity. Lior is the CEO/Co-Founder of 7AI and a former CEO/Co-Founder of Cybereason, while Nate brings a background as a CMO with firms such as Axonius, Nagomi, and now 7AI.Lior and Nate bring a wealth of experience and expertise from various startups and industry-leading firms, which made for an excellent conversation.We discussed:The rise of AI and Agentic AI and its implications for cybersecurity.Why the 7AI team chose to focus on SecOps in particular and the importance of tackling toil work to reduce cognitive overload, address workforce challenges, and improve security outcomes.The importance of distinguishing between Human and Non-Human work, and why the idea of eliminating analysts is the wrong approach.Being reactive and leveraging Agentic AI for threat hunting and proactive security activities.The unique culture that comes from having the 7AI team in-person on-site together, allowing them to go from idea to production in a single day while responding quickly to design partners and customer requests.Challenges of building with Agentic AI and how the space is quickly evolving and growing.Key perspectives from Nate as a CMO regarding messaging around AI and getting security to be an early adopter rather than a laggard when it comes to this emerging technology.Insights from Lior on building 7AI compared to his previous role, founding Cybereason, which went on to become an industry giant and leader in the EDR space.

Welcome to episode 418 of the Mobile Tech Podcast with guests James Liu (Mercedes) and Jenny Kim -- brought to you by Mint Mobile. This episode comes in two parts. First, we explore the agentic software platform in Mercedes-Benz's new CLA EV. Second (22:56), we dive into Apple's new MacBook Air M4, Mac studio M4 Max and M3 Ultra, iPad Air M3, and iPad A16, then discuss Samsung's new Galaxy A56, A36, and A26. Finally, we cover news, leaks, and rumors from Realme, Lenovo, Xiaomi, Infinix, Apple, and Samsung.Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate / buy me a coffee (PayPal): https://tnkgrl.com/tnkgrl/- Support the podcast with Mint Mobile: https://mintmobile.com/mobiletech- James Liu: https://www.linkedin.com/in/jamescmliu/- Jenny Kim: https://www.threads.net/@jennybdoll- Mercedes CLA first look: https://www.theverge.com/news/628464/mercedes-benz-cla-ev-hybrid-mma-platform- Jenny's Realme 14 Pro+ reel: https://www.instagram.com/p/DHD-FALRObw/- Jenny's Realme interchangeable lens concept reel: https://www.instagram.com/jennybdoll/reel/DG3Ef2cSTgj/- Jenny's Xiaomi SU7 Ultra reel: https://www.instagram.com/p/DG5pSZauR2Y/- Jenny's Lenovo ThinkBook Flip AI PC concept reel: https://www.instagram.com/p/DG5pSuCRv6i/- Infinix tri-fold: https://www.gsmarena.com/infinix_unveils_zero_mini_trifold_concept_-news-66773.php- Apple MacBook Air M4: https://www.theverge.com/reviews/627186/apple-macbook-air-m4-13-15-inch-2025-laptop-review- Apple Mac Studio M4 Max and M3 Ultra: https://gizmodo.com/apple-mac-studio-review-a-hefty-little-powerhouse-2000574271- Apple iPad Air M3: https://www.techradar.com/tablets/i-tested-the-11-inch-ipad-air-with-m3-for-five-days-and-it-stretches-the-value-even-further-with-more-power-for-the-same-price- Apple iPad A16: https://www.macrumors.com/2025/03/04/new-ipad-with-a16-and-more-storage/- Apple iPhone Air dimensions leak: https://www.gsmarena.com/apple_iphone_17_air_exact_dimensions_leak-news-66842.php- Apple foldable iPhone rumors: https://www.gsmarena.com/kuo_foldable_iphone_coming_in_late_2026-news-66833.php- Samsung Galaxy A56: https://www.gsmarena.com/samsung_galaxy_a56_arrives_with_six_years_of_software_updates-news-66763.php- Samsung Galaxy A36 and A26: https://www.gsmarena.com/the_galaxy_a36_brings_a_snapdragon_chip_ip67_rating_the_galaxy_a26_sticks_with_exynos-news-66766.php- Samsung Galaxy S25 Edge battery capacity leaks: https://www.gsmarena.com/samsung_galaxy_s25_edges_battery_capacity_confirmed_through_certification-news-66882.php- Samsung Galaxy Z Flip7 cover screen size rumor: https://www.gsmarena.com/samsung_galaxy_z_flip7_now_rumored_to_have_a_much_bigger_cover_display-news-66809.php

Welcome to The Post Web Unplugged, the new series part of The Outlier Ventures Podcast, where we sit down with the brightest minds shaping what comes next after Web3. In this episode, Jamie Burke speaks with Adrien Stern, co-founder of Reveel Technology, about:  The rise of the agentic web and how AI-driven agents will reshape financial infrastructure The launch of Reveel's PayID—a universal stablecoin payment solution that abstracts away complexity How Reveel is solving Web3's biggest pain point: seamless, cross-chain transactions If you're building in Web3, fintech, or AI, this episode is a must-listen. Are you ready to step inside the agentic web? ↳ postweb.io

Today's guest is Ylan Kazi, Chief Data and AI Officer at Blue Cross Blue Shield of North Dakota. Ylan returns to the show to discuss the latest developments in AI adoption within healthcare. The conversation explores key obstacles, including cultural resistance, the need for an AI Hippocratic Oath, and the risks of holding AI to unrealistic standards. Ylan also examines how agentic AI—capable of operating across systems to accomplish complex tasks—is reshaping healthcare operations. From optimizing administrative processes to rethinking claims management, AI has the potential to drive efficiency while maintaining human oversight where it matters most. This episode is sponsored by Searce. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

Marc Benioff is the founder and CEO of the cloud-based software company Salesforce. Dylan Lewis caught up with Benioff to discuss: - Why Salesforce doesn't plan to hire any software engineers this year. - Lessons learned from major acquisitions, like Slack and Tableau. - Where AI goes next. Companies discussed: CRM, MSFT, LEN, DIS Host: Dylan Lewis Guest: Marc Benioff Producer: Mary Long Engineer: Rick Engdahl, Heather Horton Learn more about your ad choices. Visit megaphone.fm/adchoices

The Vault is a morning show hosted on Twitter Spaces and YouTube Live on Tuesdays, Wednesdays, and Thursdays at 11:30 am EST. The show focuses on multi-chain communities, emerging protocols, NFTFi, DeFi, Gaming, and, most importantly, collecting digital assets.Adam McBride: https://twitter.com/adamamcbrideJake Gallen: https://twitter.com/jakegallen_Chris Devitte: https://twitter.com/chris_devvEmblem Vault: https://twitter.com/EmblemVault