Podcasts about Gartner

Na początku lipca Reuters ujawnił nagranie z wewnętrznego town hallu w Meta. Mark Zuckerberg przyznał wprost: agenci AI rozwijają się wolniej, niż zarząd zakładał. Firma zwolniła 10 % kadry, przesunęła siedem tysięcy osób do zespołów AI i wyda w tym roku nawet sto czterdzieści pięć miliardów dolarów na infrastrukturę. Zakład jeszcze się nie zwrócił.Jarosław Kuźniar sprawdza, co mówią najnowsze dane. Gartner umieścił agentów na szczycie rozdmuchanych oczekiwań. Tylko 17 % firm ich wdrożyło, ale ponad 60 % planuje to zrobić w ciągu dwóch lat. Mimo to ponad 40 % projektów ma zostać anulowanych do 2027 roku. W tle jest zjawisko "agent washing”. Realną agentowość oferuje podobno tylko około stu trzydziestu z tysięcy dostawców. Testy Carnegie Mellon pokazują, że najlepsze modele kończą samodzielnie jedną trzecią zadań, a przy ośmiu powtórzeniach tego samego zadania skuteczność potrafi spaść z 60 % do 25 %.Komentarz inwestora Tomasza Karwatki dodaje ramę Geoffreya Moore'a. Koniec hype'u to nie koniec technologii, tylko przejście przez przepaść do pragmatycznej większości rynku. Nie zastępowanie ludzi, ale wzmacnianie ich narzędziami. To tam dziś są prawdziwe pieniądze.Z tego felietonu dowiesz się:- Co powiedział Zuckerberg pracownikom Meta o agentach AI?- Dlaczego Gartner widzi agentów na szczycie rozdmuchanych oczekiwań?- Czym jest "agent washing"?- Jak duży jest problem z powtarzalnością działania agentów?- Gdzie dziś naprawdę są pieniądze na AI, według Tomasza Karwatki?Chcesz mówić tak, żeby ludzie naprawdę słuchali i pamiętali? 5 modułów tematycznych. 5 sesji live z ekspertami. Dostęp do platformy szkoleniowej 24/7. Narzędzia i prompty AI. Zamknięta społeczność liderów. Sprawdź program kursu Public Speaking Academy i dołącz teraz: https://academy.voicehouse.co/psaJuż 28 lipca o 19:00 Jarosław Kuźniar zdradzi wszystko na temat Public Speaking Academy: moduły, eksperci, narzędzia, format pracy. 60 minut. Na Zoomie. Za darmo.Do zobaczenia: https://luma.com/ejo96t8sMasz pytanie do ekspertów? Możesz je zadać tutaj: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://tally.so/r/npJBAV ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠W aplikacji Voice House Club m.in.:✔️ Wszystkie formaty w jednym miejscu.✔️ Możesz przeczytać lub posłuchać.✔️ Transkrypcje odcinków Serii in Brief z dodatkowymi materiałami wideo.Dołącz: ​​⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/VoiceHouseClub ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Znajdziesz nas też:

Our guest on this week's episode is Curtis Spencer, CEO of Bloodhound Tracking Device and also CEO of ISM Worldwide. We have been reporting for a couple of years now about the ongoing problem of cargo theft in our supply chains. But now we find that criminals are using artificial intelligence to make their fraudulent schemes even more believable than ever. Our guest talks with Group Editorial Director David Maloney about the problems of cargo theft and what shippers and carriers can do to secure their loads. The big story for supply chains this week continues to be the ongoing disruptions caused by the war with Iran and the closure once again of the Strait of Hormuz.  It seems that after nearly five months of back-and-forth airstrikes, things are not getting any better, with fuel prices on the rise once more. Those higher costs makes it more expensive for shippers to buy truckload, less-than-truckload, and parcel freight services. Senior News Editor Ben Ames has the breakdown of how higher prices are impacting costs for shippers using each of those modes.This week new research from advisory firm Gartner points to the growing demand for flexible supply chain network planning. The company found that 72% of the 151 supply chain leaders they surveyed have had to revisit final approvals for network investment decisions at least once—a process that contributes to delays and can drive up costs and decrease service levels in their supply chain operations. More than half also said they revisited those decisions three or more times, leading to lower satisfaction in the final outcome. Senior Editor Victoria Kickham share how the report breaks down the differences between two types of operational challenges: turbulence and disruption.Articles and resources mentioned in this episode:Bloodhound Tracking DeviceOil price shocks ripple through trucking shipping marketsResearch highlights the need for flexible supply chain network planningOcean freight early peak season pushes container rates higherVisit DC VelocityVisit Supply Chain XchangeSend feedback about this podcast to podcast@agilebme.com

What makes sailing yacht Black Pearl one of the most extraordinary yachts in the world?In this episode of On The Bridge, Alicia Store, Chief Operating Officer at dsnm Ltd, speaks with Captain Chris Gartner of sailing yacht Black Pearl about the freedom of sailing, the technology behind one of the most recognisable yachts afloat, and the realities of operating a sailing yacht of this scale.Chris explains why sailing offers something different from motor yachting, describing it as the chess game of yachting, where wind, crew, systems, timing, and skill all come together to move the yacht with power and purpose.This conversation explores what makes Black Pearl so unique, from her Dyn Rig to the onboard systems that allow her to generate power while under sail. It also looks at the practical side of operating a yacht of this size, including crew organisation, pride in the vessel, maintenance, safety, and the challenge of keeping the rig operational at 72 metres above the water.Chris also shares the destinations that have shaped his career, including years spent exploring the Pacific Basin, and why Black Pearl is ready for more blue-water sailing, remote cruising, and a new chapter as a charter yacht.At the centre of the conversation is the passion that drives sailing yacht crew:It is not just about moving from A to B. It is about using wind, teamwork, and seamanship to bring a yacht like Black Pearl fully to life.Topics include:• Why sailing yachts offer a different kind of command• What makes Black Pearl's Dyn Rig so significant• How Black Pearl generates power while under sail• The realities of operating a sailing yacht of this size• Crew pride, motivation, and onboard culture• Maintenance, safety, and working aloft• Why the rig creates unique operational challenges• Remote cruising and blue-water sailing• Pacific destinations and future bucket-list routes• Black Pearl's new chapter as a charter yachtLearn more about dsnm Ltd:www.dsnmltd.comPrefer to read?Head to Yachting News on the website:https://www.yachtinginternationalradio.com/yachting-newsHost: Alicia Store, Chief Operating Officer at dsnm LtdGuest: Captain Chris Gartner, sailing yacht Black PearlOn The Bridge | dsnm Ltd | Yachting International RadioSearch Yachting Channel on your favourite podcast platform for more conversations from across the global yachting industry.

In this episode of the HR business marketing podcast, A Better HR Business, Ben and his guest, John Barron, Co-Founder & CEO of GoChallenge, explore how a gamified movement platform is helping teams boost wellbeing, deepen engagement, and build stronger company cultures. GoChallenge is a science-backed HR tech platform that uses team-based movement challenges to improve employee wellbeing, prevent burnout, and strengthen workplace culture. It helps HR and People & Culture leaders increase engagement and build more connected hybrid teams through simple daily physical activity that fits into the workday. Unlike traditional fitness apps, GoChallenge is designed specifically for organisations - requiring no gym, equipment, or extra time outside work routines. Trusted by organisations such as Tirlan, DocuSign, Gartner, Red Hat, and Three Ireland, GoChallenge delivers measurable impact across wellbeing, performance, and retention. Users report reduced stress and improved productivity, while companies see stronger cross-team connections and alignment with ESG and CSR goals. The platform is easy to deploy at scale and is built on behavioural science to make workplace wellbeing both effective and engaging. You'll hear practical strategies for how to attract HR consulting clients, running a workplace consulting business, and business growth strategies for consultants. Whether you identify as HR, workplace, L&D, OD, recruitment, or people & culture, you'll discover real stories and actionable advice to attract clients, win contracts, and grow sustainably. What You'll Learn in This Episode: Insights on the power of movement-based challenges to build workplace connection and engagement How to use inclusive wellbeing programs to appeal to HR and people & culture leaders Lessons from GoChallenge's growth - scaling through values-led marketing, partnerships, and proven client results Episode highlights: The inspiration behind GoChallenge and the real obstacles to regular exercise. Building movement, motivation, support, and accountability into workplace initiatives. The role of meaningful workplace connection - why it's essential for wellbeing and performance. Employee stories: From workplace rivalry to authentic relationships through team challenges. How GoChallenge works for employers: challenge formats, inclusivity, and rewards. Creating a level playing field to boost engagement across all abilities. Bringing company values to life and examples of running challenges globally. Marketing and business development: blending conferences, LinkedIn, partnerships, and charity tie-ins. Outbound selling and value-driven messaging to busy HR professionals. Practical challenges of scaling, integrating with existing platforms, and keeping things simple for buyers. The role of internal comms teams and having a plug-and-play “playbook” for successful implementation. Marketing and Business Growth: John outlines a two-pronged approach to growing GoChallenge: attending conferences and events for traditional networking and lead generation, alongside leveraging the visibility of successful client challenges on LinkedIn, often with video content and charity partnerships. The GoChallenge team uses targeted outbound email, focusing on company values and pain points. They emphasize the importance of being easy to work with and integrating seamlessly with existing HR and comms tech stacks. Plans for further growth include partnering with benefits providers and health insurers for wider distribution. Resources & Links Mentioned: Company's website: www.gochallenge.com John's LinkedIn: www.linkedin.com/in/johnrbarron Thanks, John! Check out this B2B podcast launch service. About The A Better HR Business Podcast The A Better HR Business shares strategies, tactics, success stories, and more about marketing for HR consultancies and marketing for HR tech companies, and how to get more clients. Follow the show on Apple Podcasts or Spotify so you don't miss future episodes. For show notes and to see details of our previous guests, check out the podcast page here: www.GetMoreHRClients.com/Podcast HR BUSINESS GROWTH RESOURCES Get the new book - Grow A Successful HR Business Your Way Launch your own business podcast: B2B Podcast Agency VISIT GET MORE HR CLIENTS Want more clients for your HR-related consultancy or HR Tech business? Visit the Get More HR Clients website for articles, newsletters, podcasts, videos, resources, and more at www.getmorehrclients.com.

We discussed a few things including: 1. Jonathan's career journey   2. Cranium AI   3. AI ecosystem and timeline 4. AI trends, opps and challenges   5. Outlook for 2026 Jonathan is CEO of Cranium AI, Inc. The company spun out of the KPMG Studio and came out of stealth mode in April 2023. Jonathan is a former Partner at KPMG, cyber security industry leader, and visionary.   Prior to KPMG, he led Prevalent to become a Gartner and Forrester industry leader in 3rd party risk management before its sale to Insight Venture Partners in late 2016. At KPMG he led third party security globally, AI Security services, and built Cranium in stealth.   He has been quoted in a number of publications and routinely speaks to groups of clients regarding trends in IT, information security, and compliance.   Jonathan received his MBA from The Pennsylvania State University, is a Certified Information Systems Security Professional (CISSP), and Certified Third Party Risk Professional (CTPRP). #podcast #AFewThingsPodcast

Every hype cycle has a sales guy. Crypto had them. AI agents have them now, and most of what's being sold as an "agent" is old automation with a new label. It's called agent washing, and Gartner projects 40%+ of agentic AI projects will be cancelled by 2027.So how do you tell the real thing from a fresh coat of paint? And even if it is real, do you actually need a complex agent for what you're looking to achieve?Host Erick Espinosa sits down with Mariano Jurich, Senior Product Leader at Making Sense, who helps mid-market and PE-backed companies separate real AI value from plausible noise, and who tells clients, more often than you'd expect, that the boring workflow automation is the better buy.Inside this episode:The four traits that define a real AI agentThe "if-then-do" test that exposes a washed agent in one sentenceWhy "agentic" is overkill for most problems companies bring himWhy agentic AI breaks when you treat it like a cloud migrationWhat to put in writing before you signFind out more about Mariano Jurich here.Learn more about Making Sense here.Reach out to today's host, Erick Espinosa - erick@sociable.coGet the latest on tech news - https://sociable.co/ Leave an iTunes review  - https://rb.gy/ampk26Follow us on your favourite podcast platform - https://link.chtbl.com/rN3x4ecY

Most CDOs are still measuring AI readiness with a BI-readiness checklist and it's costing them. 80 to 90 percent of enterprise data is unstructured, sitting outside every governance program built over the last three decades.

Executive Summary AI strategic thinking for women executives is no longer optional — it's the dividing line between leaders who get exposed and those who get elevated. Executive coach Sabrina Braham and author Barry O'Reilly reveal how to build your judgment system, accelerate decisions, and think strategically at the highest level. Quick Takeaways Barry O'Reilly's defining insight: "AI is not going to replace leaders — it's going to expose them." Most executives have never documented their judgment system — and AI makes this gap impossible to hide. Decision velocity + decision advantage are the two metrics separating leaders who accelerate from those who stall. Misty Schaefer, VP at American Airlines, uses AI voice notes and scenario planning for orders-of-magnitude better decisions. The biggest missed opportunity in AI leadership is not learning together — yet the fastest learners do exactly that. There's a line on the back of Barry O'Reilly's new book that every woman executive needs to sit with: "AI is not going to replace leaders. It's going to expose them." AI strategic thinking for women executives is no longer a competitive edge — it's fast becoming the baseline expectation at the director, VP, and C-suite level. I'm Sabrina Braham, executive leadership coach (MA, MFT, PCC) with 30+ years of experience, and host of the Women's Leadership Success Podcast — top 1.5% globally with almost 900,000 downloads. My clients include leaders at Stanford University, Ernst & Young, and Autodesk. And what I see in my coaching practice right now is a clear divide emerging: women executives who are building AI-enhanced judgment, and those who are still relying on invisible, inarticulate intuition they've never made explicit. AI is about to make that gap impossible to hide. This is Part 2 of my conversation with Barry O'Reilly — author of Artificial Organizations: Build Better Judgment, Speed, and Results with Machine and Human Intelligence, keynote speaker at Gartner's CFO Conference, and one of the most sought-after AI leadership advisors in the world. In Part 1, we covered how women leaders can use AI to build personal career confidence and grow into bigger roles. Here, we go deeper — into the strategic leadership capabilities that will define who rises at the executive level in 2026 and beyond. New research from Chief and The Harris Poll (2026) confirms that 85% of senior women leaders are now active players in their organization's AI strategy — and 68% are focused on using AI to amplify human talent, not replace it. The leaders pulling ahead are those who've moved beyond productivity tools into something more fundamental: AI-enhanced judgment systems. The Uncomfortable Truth: AI Will Expose Leaders Without a Judgment System When Barry walks into executive rooms around the world, he asks a deceptively simple question: "Show me your system for making this decision." The silence that follows is telling. "Often, a lot of the time, they just don't have a system," he explains. "They've never systematically written down all the steps they're going to go through to make an actual decision." For most leaders, the judgment system — the internal algorithm for weighing options, prioritizing inputs, and reaching decisions — has never been made explicit. It works. But it has four critical limitations: It's not visible — others can't observe or learn from it. It's not repeatable — it can't be consistently applied by or handed off to others. It's not challengeable — if it's in your head, no one can push back on its blind spots. It's not improvable — you can't deliberately tune what you can't see. In my 30+ years of executive coaching, this is one of the most consistent patterns I see in women leaders who are passed over for promotion despite exceptional performance: their judgment is excellent — but it's invisible. They can't teach it, transfer it, or demonstrate it in the way boards and senior leaders need to see. AI strategic thinking for women executives forces this reckoning, and the leaders who embrace it rather than resist it will define the next decade of leadership. Here's what my Leading Before You're Ready playbook addresses directly: building the judgment, presence, and strategic clarity that precedes you into every room — before you hold the formal title. AI doesn't change that mission. It accelerates it. What Is a Judgment System — and Do You Have One? A judgment system is the explicit process and criteria you use to make leadership decisions: the information you seek first, the variables you weigh, the sequence you follow, and the principles that guide your final choice. For most leaders, this system exists — but it lives entirely in their heads, accumulated through years of experience and pattern recognition. It works. But it has critical limitations that AI strategic thinking for women executives can directly address. The Judgment System Exercise Barry Uses With Executive Teams Here's the exercise Barry runs at the opening of his executive engagements — and one I now recommend for every leader I coach: Name a key decision coming up for your team. Be specific: a resource allocation decision, a product investment, a market expansion choice. Draw out your judgment system for making that decision. What information do you look for first? What criteria matter most? What's your sequence of evaluation? What would make you say yes — or no? Share your judgment system with your peers. This is where the transformation happens. A VP of Marketing and a VP of Finance, both making the same type of decision, suddenly realize they weight customer behavior and market size differently — and neither has ever made that explicit in shared decision-making. Identify the gaps. Where is your information current and reliable? Where is it outdated, incomplete, or missing entirely? What would better information change? "Suddenly you have groups of people sitting around going, 'I've never done this before,'" Barry explains. "And they're right. Most executive teams have never made their collective judgment infrastructure explicit." From a coaching perspective, I want to highlight what this exercise does beyond improving decision quality: when you can articulate how you make decisions — not just what decisions you make — you demonstrate the executive presence that earns trust and bigger responsibilities. This is exactly what I teach in the Leading Before You're Ready playbook. Judgment Infrastructure: The Data Ecosystem That Feeds Your Decisions Once leaders map their judgment systems, Barry introduces a second connected concept: judgment infrastructure — the data ecosystem that feeds your decision-making algorithm. Barry asks leaders: "Across your company, how are you getting the information you need to run your judgment system?" The answers reveal how fragile most leadership data environments actually are. "I have a spreadsheet I get once a month." "Our customer records are three months out of date." "I usually get that information from a conversation with someone else, so it depends on who I ask." The principle is clear: the output of any system is determined by the quality of its inputs. Poor-quality, delayed, or incomplete information fed into even an excellent judgment system produces poor decisions. For women executives in tech leading AI-adjacent organizations, understanding how to design and govern your information ecosystem — not just receive reports — is a defining capability for 2026. Decision Velocity + Decision Advantage: The Two Metrics That Define Executive Performance Barry's work with high-performing organizations has surfaced two metrics that consistently predict which leaders — and companies — pull ahead: Decision velocity: How fast can you move from problem identification to a well-reasoned decision? Not impulsive speed — calibrated speed supported by quality process. Decision advantage: How current, accurate, and comprehensive is the information available to you when you need to decide? Real-time — or three months stale? "That is how companies, startups, businesses power ahead," Barry explains. "They learn faster, they make decisions at a high velocity, and the information to support those decisions is to hand in real time."   AI dramatically accelerates both metrics. A meeting co-pilot that captures and synthesizes every conversation means you're never walking into a decision without full context. Barry describes his own routine: "I run a process either the day before, the morning of, or even five minutes before I meet someone. It runs all the last conversations we've had against my judgment system for the meeting I'm about to have." He shows up to every conversation with full context, clear priorities, and the calm that comes from genuine preparation. That calm is not incidental. As I always tell the executives I coach: your cognitive and emotional state in high-stakes situations is a performance variable. Anything that reduces cognitive load — like AI capturing your meeting context — directly improves your effectiveness in those moments. AI strategic thinking for women executives isn't just a professional tool. It's a confidence tool. Case Study: How Misty Schaefer Uses AI to Lead American Airlines Strategically The most vivid example Barry shared of AI strategic thinking in action involves Misty Schaefer Sern, VP of Consumer Technology at American Airlines — responsible for AA.com, the mobile app, and every digital touch point the world's largest airline uses to serve customers. Misty's natural trait: she has her best ideas on the move — walking the terminal, talking to ground staff, observing what's happening at the gate. The traditional problem: those ideas used to evaporate between the inspiration and the desk. ...

ROI supersedes AI. That's the blunt verdict from Steve Lucas, Chairman and CEO of Boomi, who has spent 30 years at the top of enterprise software. With OpenAI burning $3 billion a month and Gartner projecting that up to 40% of enterprise AI projects will be abandoned by 2027, the blank-check era for AI spending is over — and the reckoning is coming faster than most investors realize. Motley Fool analyst Rachel Warren sits down with Steve to unpack what Wall Street is missing: why the next wave of AI winners won't be the flashy model makers, how to spot the difference between a real AI strategy and expensive spin, and the single metric that separates transformative technology from hype. Host: Rachel Warren Guest: Steve Lucas Producers: Bart Shannon, Lauren Budabin Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Hi, I'm Connor with Honor - message me here!Uber's chief technology officer burned 1,200 dollars in AI costs during a two hour internal demo. Not a product launch. A demo. And when his own company looked at the receipts, their president admitted in public that all that AI usage did not seem to match up with any real features that actually shipped to customers. That is not a technology story. That is a brain story. And it is happening to you too, just with smaller numbers. Listen in as I take apart the most misunderstood chemical in your body, and then show you how the entire AI industry is running on it. Everything you think you know about dopamine is wrong. It is not the pleasure chemical. It never was. Kent Berridge at the University of Michigan spent thirty years proving that reward is two separate systems. Wanting, and liking. Dopamine runs wanting. It does not run liking. Which means you can want something with your whole chest and not enjoy one second of it when you get it. And dopamine does not spike hardest when you get the thing. It spikes hardest when you are about to get the thing and you are not sure. Uncertain reward, on demand. That is a slot machine. That is pull to refresh. That is an AI chat box. They built the most perfect slot machine in human history by accident, put it on every phone on earth, and made the first hundred pulls free. In this episode: Why dopamine draws the map instead of crossing the finish line, and why that turns AI into an infinite plan generator that pays you for never shipping anything. Severance, the waffle party, and the quiet dystopia nobody is warning you about. The money. Microsoft, Google, Amazon, Meta and Oracle have committed 660 to 690 billion dollars this year alone. Bain says the industry needs about 2 trillion a year in revenue to justify it. OpenAI is at 25 billion. That is one percent of what the math needs. The token bill. Per developer AI spending is up about 18 times in nine months. Uber's annual AI budget was gone by April. Microsoft told engineers in a major division to stop using an AI coding tool because the bill got out of hand. Gartner predicts AI coding costs will pass the average developer's salary by 2028. The China trade. DeepSeek, Qwen, Kimi and GLM run 60 to 90 percent cheaper than the top American models. Coinbase cut its AI bill nearly in half by moving 1,200 agents to Chinese models. And four days ago, Reuters reported Beijing is talking about shutting that door. Why it likes you. About 49 percent of American adults use AI chatbots and only 4 to 7 percent pay a dime. So who is paying for your free ride, and what are they getting out of it? Watch the video version on YouTube: [PASTE YOUTUBE LINK] Santa Clarita sellers, the 17,000 dollar Fair Fixed Fee: https://sellersonlyagent.comSanta Clarita open houses: https://santaclaritaopenhouses.comFood freedom and the fasting story: https://thelastaddiction.comEverything else: https://connorwithhonor.com DRE #01238257. Nothing in this episode is financial, legal, or investment advice.Youtube Channels:Conner with Honor - real estateHome Muscle - fat torchingFrom first responder to real estate expert, Connor with Honor brings honesty and integrity to your Santa Clarita home buying or selling journey. Subscribe to my YouTube channel for valuable tips, local market trends, and a glimpse into the Santa Clarita lifestyle.Dive into Real Estate with Connor with Honor:Santa Clarita's Trusted Realtor & Fitness EnthusiastReal Estate:Buying or selling in Santa Clarita? Connor with Honor, your local expert with over 2 decades of experience, guides you seamlessly through the process. Subscribe to his YouTube channel for insider market updates, expert advice, and a peek into the vibrant Santa Clarita lifestyle.Fitness:Ready to unlock your fitness potential? Join Connor's YouTube journey for inspiring workouts, healthy recipes, and motivational tips. Remember, a strong body fuels a strong mind and a successful life!Podcast:Dig deeper with Connor's podcast! Hear insightful interviews with industry experts, inspiring success stories, and targeted real estate advice specific to Santa Clarita.

A structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft's move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work.   00:00 The quiet walkout  03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care?  Supported by:  Pax8   

Alex Sheridan sits down with Erik Davison, founder and CEO of DBV Solutions, to discuss the real cost of scaling a consulting firm. Erik shares how he tripled revenue through multi-year deals, why he delegates what he does best, and the Accenture lesson that changed how he thinks about cash flow.Key takeaways:00:00:00 Introduction00:01:53Q: How do you triple revenue after 20 years?A: Erik Davison secured multi-year implementation contracts with larger clients, replicating one engagement across several more.00:04:33Q: Do founders still worry about payroll after 20 years?A: Erik Davison still has sleepless nights with 35 employees. He pays employees first and maintains reserves because clients do not always pay on time.00:07:40Q: How long can a firm survive without new sales?A: An Accenture managing partner told Erik Davison the answer was 90 days. That taught him to never stop business development.00:34:49Q: Should you delegate what you hate or what you do best?A: Erik Davison argues delegate what you do best because quality is easy to verify. This forces growth by tackling uncomfortable tasks.00:47:35Q: Will AI replace service businesses?A: Erik Davison cites a Gartner study showing AI's real risk is eroding leadership development. Middle managers never learn through mistakes if AI provides all answers.Subscribe to Founder Talk and share this with a founder who needs it

Digital twins have been a key tool for organisations to create virtual replicas of operating environments. From transportation to manufacturing and oil & gas, they help simulate performance and prepare for ‘what-if scenarios'. But they're evolving.On this week's episode, Bobby talks to ITPro's news and analysis editor, Ross Kelly, to ask what exactly a digital twin is and how they are evolving since the arrival of generative AI.The term ‘digital twin' is even taking on different meanings; in some cases it's not just a virtual replica of a factory floor, for example. We are now seeing digital twins of people, with Forrester describing them as ‘Digital Doubles'. Gartner also predicts that some organisations will begin creating ‘Digital Twins of Customers' as a way to simulate how customers might respond to specific scenarios.Does your business need a digital twin? | IT ProAre AI digital twins a match made in heaven? | IT Pro

Gartner projects that 60% of all new code written globally will be AI-generated by the end of 2026. The method of building software by directing AI tools through natural language prompts, rather than writing code manually. Susan discusses this further with Elish O' Connor Director of Strategy and AI, Viatel.

As China-Japan relations remain strained over Japanese Prime Minister Sanae Takaichi's erroneous remarks on Taiwan and her administration's accelerated military buildup, Japan's economy is increasingly feeling the pinch, with critical mineral exports from China plunging, supply chains buckling under pressure and billions in potential GDP losses looming, experts said.专家表示，因日本首相高市早苗涉台错误言论及其政府加速扩军，中日关系持续紧张，日本经济承压加剧：中国关键矿产对日出口大幅下滑、供应链承压失灵，国内生产总值或将面临数百亿规模的潜在损失。What is truly pushing Japanese businesses into difficulty is not China's lawful measures to safeguard national security, but the systemic risks spawned by Japan's own misguided security trajectory, they added.专家补充称，真正让日本企业陷入困境的并非中国维护国家安全的合法举措，而是日本自身走偏的安保路线滋生出的系统性风险。According to the General Administration of Customs, China's exports of rare earth magnets to Japan plummeted 34.6 percent to 123 metric tons in May compared with April, while monthly shipments have remained below 200 metric tons for three consecutive months.海关总署数据显示，5月中国稀土永磁对日出口量环比大跌34.6%，仅123吨，对日月度出口量已连续三个月低于200吨。Since the start of 2026, China has banned shipments of dual-use items and technologies, including rare earth elements, to Japan. Such items and technologies have both civilian and military applications.2026年以来，中国已禁止向日本出口稀土等军民两用物项及相关技术，这类物资和技术可同时用于民用与军事领域。The ban came on the heels of a downward spiral in China-Japan relations, triggered by Takaichi's remarks and her administration's military-related moves.高市早苗相关言论及其政府一系列军事动作致使中日关系持续恶化，在此背景下中方出台上述出口禁令。China's tighter export controls have prompted Japan to take unprecedented steps. Recently, All-Nippon News Network reported that Japan has launched its first-ever program to extract rare earth elements from discarded household air-conditioners.中国收紧出口管制倒逼日本推出前所未有的应对举措。据全日本新闻网近期报道，日本首次启动从废旧家用空调中提取稀土的专项项目。Mitsubishi Electric, the Japanese company spearheading that recycling initiative, was added to China's export control list in late June for its involvement in defense electronics, radar and missile systems.牵头该回收项目的日本三菱电机，因涉足军工电子、雷达及导弹系统研发，于6月底被列入中国出口管制清单。The June decision, which imposed a total ban on dual-use item exports to 20 Japanese entities and implemented heightened scrutiny against 20 others, followed a similar decision in February that targeted 40 Japanese entities.今年2月中方已将40家日本机构纳入管制范围，6月新规进一步全面禁止向20家日本实体出口军民两用产品，并对另外20家实体实施从严审查。Shen Yi, a professor at Fudan University's School of International Relations and Public Affairs, said, "The Japanese government's bet that it can continue its military expansion and provocative rhetoric without paying a real price is doomed to fail."复旦大学国际关系与公共事务学院教授沈逸表示：“日本政府妄想一边持续扩军、发表挑衅言论，一边不用付出实质代价，这种盘算注定落空。”Shen noted that China accounts for roughly 70 percent of global rare earth mining and over 90 percent of smelting and separation capacity, giving the nation's policy tools the weight to alter Japanese corporate calculations.沈逸指出，中国稀土开采量约占全球70%，冶炼分离产能超全球90%，相关政策足以改变日本企业的经营布局。China boosts self-reliance中国加快产业链自主可控进程Experts said that Japan's attempts to leverage its edge in the semiconductor sector through potential export controls will ultimately prove futile, as foreign restrictions are only accelerating China's push for self-reliance, turning what was meant as a chokehold into a catalyst for domestic substitution.专家称，日本试图依托半导体优势实施出口限制的做法终将徒劳无功，外部打压反而加速中国自主研发，原本用来扼制中国的手段，反倒成为国产替代的助推力。For instance, there is "significant progress" in the domestic production potential of photoresist, the light-sensitive material essential for etching microscopic circuits onto silicon wafers, sources from leading Chinese chipmakers such as Semiconductor Manufacturing International Corp and Huahong Group told China Daily.中芯国际、华虹集团等国内头部芯片企业相关人士向《中国日报》透露，用于在硅片上蚀刻微电路的感光材料光刻胶，国产量产能力已取得重大突破。Jiangsu Nata Opto-electronic Material Co, which developed one of China's first high-end deep ultraviolet photoresists, said the company's revenue from the product exceeded 10 million yuan ($1.5 million) in 2024, and it maintained a stable supply in 2025.国内首批高端深紫外光刻胶研发企业江苏南大光电表示，该产品2024年营收突破1000万元（折合150万美元），2025年实现稳定供货。According to data from Japanese research company Global Net, last year, three Chinese chip equipment manufacturers ranked among the world's top 20 by sales volume for the first time.日本调研机构环球网数据显示，去年有三家中国半导体设备厂商首次跻身全球销量前二十。This marks a sharp rise from just one company in 2022, prior to stricter restrictions imposed by the United States, underscoring China's accelerated progress in bolstering the domestic supply chain.对比美国出台严苛限制前的2022年仅有一家上榜，该数据大幅提升，凸显中国完善本土供应链的步伐持续加快。Roger Sheng, vice-president of research at US market research company Gartner, noted that the technological gap between Chinese companies and international industry leaders is continuously narrowing.美国市场研究机构高德纳研究副总裁盛陵海指出，中国企业与国际行业龙头之间的技术差距正在持续缩小。"This progress has provided strong support for domestic chip manufacturers in their technological upgrades and production expansion efforts, even amid restrictions on access to Japanese technology and equipment," Sheng said.盛陵海表示：“即便在日本相关技术与设备受限的环境下，上述技术突破仍为国内芯片厂商技术升级、扩产增效提供了有力支撑。”With the exception of lithography machines, domestic tools are now being increasingly used in Chinese semiconductor factories, he said, citing the example of Naura Technology becoming a key equipment provider for another Chinese company's advanced memory chips.他举例称，除光刻机以外，国产设备正大量应用于国内晶圆厂，北方华创已成为国内某企业先进存储芯片产线的核心设备供应商。erroneous /ɪˈrəʊniəs/错误的，不正确的plummet /ˈplʌmɪt/暴跌，大幅下降dual-use /ˌdjuːəl ˈjuːz/军民两用的photoresist /ˌfəʊtəʊrɪˈzɪst/光刻胶futile /ˈfjuːtaɪl/徒劳的，无效的lithography /lɪˈθɒɡrəfi/光刻（技术）

AI for sales is everywhere right now, but most of it is noise. This episode is about what actually works: AI sales coaching that lives inside a rep's daily workflow instead of sitting unused in a Google Drive.After 18 months of building, Dave, Luigi and Regan officially launch CoachPilot on this episode of Revenue Leaders. It's the AI coaching layer that sits on top of your CRM and coaches every rep on every deal, live.The three of them have spent decades in sales, built hundreds of playbooks, and onboarded over 200 SDRs for companies like Stripe. They kept hitting the same wall: even the best playbook fails because it never lives in the rep's daily workflow. CoachPilot is their answer.What you'll learn:→ Why the number one problem in every sales org is adherence to the sales process, not talent→ The playbook problem: why even great playbooks end up sitting unused→ What a day in the life with CoachPilot looks like: morning briefings, live call coaching, post-call CRM updates→ The live coaching sidebar that prompts you on objections, pacing, and talk ratio mid-call→ Why they built their own call recorder instead of integrating with existing tools→ The four IP layers: forecast score, coaching score, deal score, and methodology score→ Gartner's 2.8x revenue stat: why action-based AI paired with humans beats AI alone→ Why AI can't replace sellers in complex, multi-stakeholder deals→ The 50% unapproved AI usage problem inside sales teams and why governance matters→ Who CoachPilot is NOT for: the honest ICP conversation most founders avoidWhether you're a founder, sales leader, or rep, this is a rare inside look at why three sales veterans killed their own consulting business model to build a product.⭐ Learn more about CoachPilot: https://coachpilot.comFollow us:https://www.instagram.com/davidfastuca/https://www.linkedin.com/in/luigiprestinenzi/https://www.linkedin.com/in/reganbarker/https://www.linkedin.com/in/davidfastuca/

In Episode 108 of the Cybersecurity Readiness Podcast Series, Dr. Dave Chatterjee is joined by Scott Harrell, President and Chief Executive Officer of Infoblox and former leader of Cisco's $20 billion enterprise networking business — to examine one of the most consequential security blind spots in modern enterprise governance: the foundational network infrastructure layer that every other security investment depends on, and that almost no organization actively governs.The episode opens with the October 2025 Amazon Web Services outage, in which a single automated misconfiguration in a core routing service triggered a global cascade that took down AI services, financial platforms, and consumer applications worldwide, producing an estimated $581 million in losses. The cause was not a sophisticated cyber attack. It was a governance decision that had never been made — nobody was actively watching the foundational layer. That event becomes the opening frame for a conversation about DNS, DHCP, and IP address management: the three-part infrastructure, collectively known as DDI, that assigns every device an address, maps every application name to a network location, and routes every piece of digital traffic to its destination. When it works, it is invisible. When it fails — or when an attacker exploits it — everything built on top of it stops.Harrell's central argument is structural: 92% of all malware relies on DNS for its initial call-out to attacker-controlled infrastructure. The first thing any malware does when it lands on a network is resolve a malicious domain — and if that DNS request is blocked, the entire incident cascade never occurs. The payload is never downloaded. Lateral movement never begins. Privilege escalation never follows. The problem is that most enterprise security stacks are built to detect and respond to malware after it has activated — not to intercept the first domain resolution that enables everything that follows. This is the difference between reactive and preemptive security, and it is a governance choice that shows up in budget allocations: currently, only 5% of enterprise security spending goes to preemptive activities, with 95% consumed by detection and response. Gartner projects that organizations will need to reach a 50/50 split by 2030.The conversation addresses how to make the governance case for foundational infrastructure investment, what differentiated DNS security looks like, how agentic AI is about to make network complexity exponentially harder to manage, and what three metrics every senior leader should be demanding from their security teams. Analyzed through Dr. Chatterjee's Commitment–Preparedness–Discipline (CPD) Framework, the episode reframes network infrastructure security from an IT operational matter into a board-level governance imperative. The episode's core message is neither technical nor vendor-specific: the organizations that will withstand the next breach are not those with the most sophisticated detection tools — they are those that have decided to govern the layer on which everything else depends.To access and download the entire podcast summary with discussion highlights - https://www.dchatte.com/episode-108-the-invisible-foundation-why-dns-security-is-the-governance-gap-no-one-is-watching/Connect with Host Dr. Dave ChatterjeeLinkedIn: https://www.linkedin.com/in/dchatte/ Website: https://dchatte.com/Books PublishedThe DeepFake ConspiracyCybersecurity Readiness: A Holistic and High-Performance ApproachArticles & Cases PublishedChatterjee, D. (2026). The Cryptographic Reckoning: Why Quantum Readiness Begins with Agility, Not Algorithms, The INFORMS Analytics Magazine, June 26, 2026Chatterjee, D. (2026). The New Digital Fragility: How AI-Enhanced Cyber Threats Are Reshaping Operational Resilience, The INFORMS Analytics Magazine, March 4, 2026Chatterjee, D. (2026). Root: Automating the Remediation Gap, Ivey Publishing, Jan 7, 2026.Ramasastry, C. and Chatterjee, D. (2025). Trusona: Recruiting For The Hacker Mindset, Ivey Publishing, Oct 3, 2025.Chatterjee, D. and Leslie, A. (2024). “Ignorance is not bliss: A human-centered whole-of-enterprise approach to cybersecurity preparedness,” Business Horizons, Accepted on Oct 29, 2024.Isik, O., Chatterjee, D., and Lourenco, D.A. (2024). “Getting Cybersecurity Right,” California Management Review — Insights, Accepted for Publication, July 8, 2024. Chatterjee, D. (2023). “Mission critical – How American Cancer Society successfully and securely migrated to the cloud amid the pandemic,” I by IMD, March 13, 2023.Chatterjee, D. (2022). “Preventing security breaches must start at the top,” I by IMD, September 28, 2022, Institute for Management Development, Lausanne, SwitzerlandChatterjee, D. (2022). “Making Cybersecurity Readiness Mainstream,” Executive Blog Post, NETSPI, March 1, 2022Benz, M. and Chatterjee, D. (2020). “Calculated Risk? A Cybersecurity Evaluation Tool for SMEs,” Business Horizons, available online from May 4, 2020Chatterjee, D. (2019). “Should Executives Go To Jail Over Cyber Attacks,” Journal of Organizational Computing and Electronic Commerce, Vol

The episode identifies a structural decoupling of software value from licensing units, driven by the rise of agentic AI platforms that automate tasks previously executed by human users within applications. This shift is evidenced by vendors realigning away from per-seat software economics toward service and outcome-based models. Companies such as Microsoft, Amazon, and OpenAI are redirecting resources into consulting and certification initiatives, responding to changing customer usage patterns and eroding profitability of traditional license models. According to Gartner, agentic AI could impact 20% of enterprise SaaS spend by 2030, redefining how businesses allocate budgets for software and services. A notable development illustrating this shift is Notion's decision to discontinue its Notion Mail application, not for lack of adoption, but because automated AI agents had largely replaced the need for a human-operated inbox. Microsoft has committed $2.5 billion and hired 6,000 consultants to embed AI solutions directly within client environments, bypassing traditional software seat sales. OpenAI has announced a global partner program aiming for 300,000 certified consultants within a year, while Amazon is embedding similar models into its offerings. Financial disclosures reveal that OpenAI's cost structure remains unsustainable under typical software unit economics, spending $1.60 for every $1 earned as of the most recent annual report. These developments reinforce the displacement of the per-seat licensing model. Gartner's cited mechanism is arbitrage, where agentic AI completes cross-system tasks without users actively working within apps, detaching business value from app usage. Traditional consulting's move away from hourly billing, as reported by the Wall Street Journal, echoes the software industry's realignment, emphasizing fixed-fee and outcome-based pricing over labor hours. The combination of end-client optimization efforts, vendor migration to services, and changes in consulting economics demonstrates a market-wide move toward operational accountability over software resale. For MSPs and IT providers, these changes pose direct challenges to legacy revenue assumptions and operational models. Per-user or license-based pricing faces mounting contract risk as agentic agents reduce seat counts. Service providers will be evaluated on their ability to manage this transition—internally and for their clients—by documenting workflow changes, auditing tool stacks, and adapting to new consumption and outcome-based vendor models. Early adoption of these practices within one's own business is becoming a credibility benchmark, as prospective clients scrutinize whether providers have successfully navigated the same seat retirement and cost reallocation they are expected to deliver. 00:00 Software Giants Go Human  04:26 Agents Don't Buy Seats  06:58 Squeezed From Both Ends 10;12 Why Do We Care?  Supported by: Guardz Pax8 

Chinese memory-chip-related stocks surged on Monday, led by Shenzhen Longsys Electronics Co Ltd, partly as investors reacted to the impending US listing of South Korean memory chip giant SK Hynix.周一，存储芯片板块相关个股全线大涨，深圳江波龙电子股份有限公司领涨，部分原因是投资者对韩国存储芯片巨头 SK 海力士即将赴美上市作出提前反应。Longsys jumped as much as 13 percent in early trading before consolidating gains to close at 681.8 yuan ($100) in Shenzhen. Other memory chip stocks followed suit. CECport hit the daily upside limit, while companies such as JCET advanced.江波龙早盘最高涨幅达 13%，随后涨幅收窄，最终在深交所收报 681.8 元（折合 100 美元）。其余存储芯片个股同步走强，华天科技封住涨停，长电科技等企业股价走高。The sector's momentum was amplified by SK Hynix's upcoming Nasdaq debut. The chipmaker is set to debut on Friday, raising approximately $29 billion in what could be the largest-ever US IPO by a foreign company, Bloomberg reported.彭博社消息，SK 海力士即将登陆纳斯达克进一步推升板块热度。这家芯片企业定于本周五挂牌上市，募资规模约 290 亿美元，有望创下境外企业赴美 IPO 融资规模历史新高。The listing, to be conducted through American Depositary Receipts, or ADRs, under the ticker "SKHY," aims to bridge the valuation gap with US rival Micron Technology.本次上市将以美国存托凭证（ADR）形式开展，股票代码 SKHY，此举意在缩小其与美国竞品美光科技之间的估值差距。The timing coincides with explosive growth in the memory chip market. Market research firm Gartner said global chip sales are expected to approach 9 trillion yuan in 2026, up 64 percent year-on-year, with memory chip sales estimated at around 4.3 trillion yuan.此次上市恰逢存储芯片市场爆发式增长周期。市场研究机构高德纳表示，2026 年全球芯片销售额有望接近 9 万亿元，同比增长 64%，其中存储芯片市场规模约 4.3 万亿元。Market researcher TrendForce's latest memory pricing survey said the DRAM market will see extremely tight supply in the third quarter, with contract prices expected to rise 13 to 18 percent quarter-on-quarter. NAND Flash contract prices are likely to increase 10 to 15 percent quarter-on-quarter.集邦咨询最新存储芯片报价调研显示，三季度 DRAM 市场供给将极度紧张，合约价格环比预计上涨 13% 至 18%；NAND 闪存合约价格环比涨幅预计在 10% 至 15% 区间。DRAM and NAND are key memory chips widely used in smartphones, PCs, tablets and other digital products.DRAM 与 NAND 是核心存储芯片，广泛应用于智能手机、个人电脑、平板及各类数码产品。While artificial intelligence inference and data center deployments continue to drive demand, price increases have moderated from previous quarters as consumer PC and smartphone customers reach their affordability limits, TrendForce said.集邦咨询称，人工智能推理与数据中心建设持续拉动需求，但消费级电脑、手机市场购买力见顶，芯片涨价幅度相较前几个季度有所放缓。"AI remains the core driver," TrendForce added. Memory suppliers are shifting capacity toward higher-margin server products, constraining supply for consumer segments and keeping prices elevated even as PC and smartphone demand weakens.集邦咨询补充道：“人工智能仍是核心增长动力。” 存储厂商正将产能转向利润率更高的服务器芯片产品，压缩消费级芯片供给，即便电脑、手机需求走弱，芯片价格仍维持高位。The global supply shortage and surging AI demand for high-bandwidth memory have fueled the memory supercycle. Meanwhile, China's domestic memory industry is making strides, though a gap with Western leaders persists, experts said.专家表示，全球供给短缺叠加人工智能对高带宽存储芯片需求激增，催生存储超级上行周期；国内存储产业虽取得长足进步，但与海外头部企业仍存在差距。CXMT Corp, China's largest manufacturer of DRAM chips, is expected to launch its IPO later this year, while the listing plan of Yangtze Memory Technologies, China's only company capable of end-to-end 3D NAND flash chip manufacturing, has also received approval.国内最大 DRAM 厂商长鑫存储预计今年晚些时候启动 IPO；国内唯一具备全流程 3D NAND 闪存制造能力的长江存储，其上市方案也已获批。Shen Meng, director of Chanson & Co, a boutique investment bank, said market watchers are closely monitoring SK Hynix's Nasdaq performance as a potential reference for the two Chinese IPOs.精品投行香颂资本董事沈萌表示，市场密切关注 SK 海力士在纳斯达克的表现，将其作为上述两家国内存储企业上市的重要参考标的。Roger Sheng, vice-president of research at Gartner, said that Chinese memory chip firms have made significant progress, but there remains a significant gap in both advanced technologies and production capacities between Chinese memory leaders and their global counterparts, pointing to substantial room for expansion.高德纳研究副总裁盛凯表示，国内存储芯片企业已实现重大突破，但国内头部厂商与国际同行在先进技术、产能规模方面仍存在明显差距，产业发展提升空间广阔。surge /sɜːdʒ/v. 暴涨，激增semiconductor /ˌsemikənˈdʌktə(r)/n. 半导体capacity /kəˈpæsəti/n. 产能；容量valuation /ˌvæljuˈeɪʃn/n. 估值

Karl Schmidt is the Co-Founder of A to B Insight, where he helps organizations transform their sales approach by aligning with how customers actually make decisions. Drawing on years of experience at leading firms including Boston Consulting Group and Gartner, Karl has conducted award-winning research into buyer behavior, commercial strategy, and complex B2B decision-making—including work that contributed to the groundbreaking insights behind The Challenger Sale.As the co-author of The Framemaking Sale, Karl equips sales leaders and organizations with practical frameworks for increasing buyer confidence, simplifying complex decisions, and creating customer experiences built on trust rather than pressure. His research and thought leadership have been featured in Harvard Business Review, Forbes, and other leading business publications, making him one of today's foremost voices on decision science in modern sales.SHOW SUMMARYIn this episode of the Selling from the Heart Podcast, Larry Levine and Darrell Amy welcome Karl Schmidt, Co-Founder of A to B Insight and co-author of The Framemaking Sale, for a fascinating conversation about how customers truly make decisions—and why helping buyers gain confidence is more valuable than simply persuading them.Karl introduces the concept of "framemaking," explaining that exceptional sales professionals don't just provide information or recommend solutions—they help buyers navigate complexity, clarify priorities, and build confidence in their own decision-making process.The conversation explores groundbreaking research showing that buyer decision confidence is one of the strongest predictors of successful, high-quality purchases. Rather than focusing solely on convincing prospects that your solution is the best, Karl explains why helping buyers feel confident in themselves creates better outcomes, stronger trust, and longer-lasting customer relationships.Listeners will also discover why emotions play a critical role in decision-making, how trust is built through shared experiences, and practical ways to simplify buying decisions while preserving customer autonomy.If you want to become the trusted guide your customers need—not just another salesperson competing for attention—this episode offers a refreshing, research-backed perspective on modern selling.KEY TAKEAWAYSBuyer decision confidence is one of the strongest predictors of successful, low-regret purchasing decisions.Great sales professionals help buyers gain confidence in themselves—not just confidence in the product.The best sales conversations move customers through know → feel → do, not simply know → do.Framemaking helps customers organize complexity instead of overwhelming them with information.Customers value guidance that preserves their autonomy rather than pressure that limits it.Helping buyers make the best decision—even if it's not your solution—builds long-term trustHIGHLIGHT QUOTESOur goal isn't to make customers choose us. It's to help them make the best decision possible.Decision confidence isn't confidence in the seller—it's confidence in yourself.People don't just need to know what to do. They need to feel confident enough to do itThe best salespeople don't tell customers what to think. They help them think more clearly.Frame making creates clarity without taking away the customer's agency.ADDITIONAL RESOURCESExplore the secrets of heart-centered leadership and thriving workplace cultures with Culture from the Heart Podcast! Nominate a visionary CEO at www.culturefromtheheart.com!Listen to Larry Levine's Bestselling Book: Selling in a Post-Trust World! Now available on Audible! Transform your sales approach with insights that matter.  Subscribe to The Selling from the Heart Podcast Youtube Channel! Stay updated with the latest episodes and leadership tips: Selling from the Heart YouTubeGet Your Daily Dose of Inspiration:Click Here for Your Daily Dose

Hva betyr det egentlig at grønnsaker er i sesong, nå som vi kan kjøpe de aller fleste grønnsaker i butikken hele året? Og er det belegg for å si at poteten var viktigere for den jevne nordmann i 1814 enn grunnloven? Dette er blant temaene når potetbonde Thore Sigurd Woll er gjest for å snakke om smakene som for mange definerer den norske sommeren: Nypoteter og sesongens øvrige ferske grønnsaker. Dette er annonsørinnhold produsert av Schibsted Partnerstudio for Gartner.

The dominant structural shift outlined is a transfer of liability and accountability for AI-generated errors from vendors to the entities deploying these systems—primarily MSPs and their clients. While vendors aggressively promote scalable AI tools and urge rapid adoption, the legal and operational burden of verifying and standing behind AI output falls on deployers, not on the tool providers. Recent court rulings and shifting buyer expectations are accelerating this transfer, fundamentally altering the MSP business model around AI services. Primary evidence for this shift comes from both industry behavior and legal precedent. Kaseya urged MSPs to quickly embrace AI services while revealing that only about 13% of providers are seeing significant revenue from AI, despite roughly half of clients requesting these solutions. Compounding the structural gap is a low conversion rate from proof-of-concept to production (only 20% success, per Kaseya), and high failure rates in AI-generated code—Forbes reported security and logic errors appear far more frequently in machine-produced output than in human code. Notably, courts in Germany and Canada have ruled that organizations are legally responsible for the statements and errors created by their AI, not the vendors providing the underlying tools. Supporting developments reinforce the risk and accountability mismatch. Research cited from Gartner indicates over 70% of CEOs and 75% of CIOs believe current IT operating models are unfit for the demands of the AI era, highlighting a recognized governance gap. Consumer surveys show that over half hold company leadership personally responsible for AI failures. The recurring vendor emphasis on selling tools, combined with product features that prioritize scale over individualized accountability, deepens the structural challenge for service providers. For MSPs and IT service organizations, the primary practical implication is that competitive differentiation and risk mitigation will depend less on which AI products are resold and more on documented processes for reviewing, annotating, and standing behind AI-generated output. Vendors' tools are pervasive and quickly commoditized, so market separation arises from the ability to provide tangible accountability standards—proof of human review, defined sign-off authority, and clear records for client audits and legal defense. Pricing strategies that reflect the cost of accountability, rather than simply product markup, are likely to become more sustainable as client focus shifts from features to liability management in AI adoption. 00:00 The 13% Problem  03:29 The Tool vs. The Work 05:43 The Wrong Answer's New Address 08:37 Why Do We Care?  Supported by:  CometBackup TimeZest   

Episode 298. In this week's update: Meta contractors spent months posing as suicidal, drug-curious teenagers to test rival chatbots - and the platforms being probed had no idea it was happening.A Chinese AI lab just matched Anthropic's top cybersecurity model on its own turf - and the question isn't whether export controls work, it's whether they ever could.The New York Times says Microsoft didn't just host OpenAI's training runs - it built a 285,000-core machine specifically engineered to feed on its journalism, and the lawsuit's whole strategy just shifted because of it.A shell trick older than most AI startups just walked straight past ten out of eleven coding agent guardrails - and the fix isn't as simple as updating a blocklist.Nearly two out of three AI chatbot apps tested on iPhone are leaking the keys to someone else's wallet - and you'd never know it just by using them.A federal gun-enforcement agency ran more than 300 warrantless phone-tracking searches using data bought from ad networks - until a prosecutor and a judge themselves said no.Companies fired workers to save money on AI, and now some of them are paying five times more for the AI than they ever paid the humans - Gartner says that's not a fluke, it's the trend.Five allied nations' top cybersecurity agencies just used the word 'urgent' in the same breath as 'months, not years' - and that combination doesn't happen by accident.Welcome back, everyone. This is a week where the gap between how fast AI is moving and how fast our safeguards, our laws, and our budgets are catching up gets impossible to ignore, from corporate testing practices that crossed a line to a legal theory that could put cloud infrastructure itself on trial to a federal agency that finally got told no. It runs from alarming to sobering to genuinely urgent, and there isn't a soft landing at the end of it. Let's get into it.Find all the story links and the full transcript for this podcast here.

Executive Summary: Most women leaders know AI could accelerate their careers—but don't know where to start. Executive coach Sabrina Braham and author Barry O'Reilly reveal the Traits, Tasks, and Tools framework that eliminates AI paralysis, builds confidence in unfamiliar leadership roles, and helps women leaders AI career growth into bigger opportunities—starting this week. Quick Takeaways: 69% of women say AI has opened new career pathways—but only for those who start using it now (ANSR Women in Tech Report, 2026). The Traits, Tasks, Tools framework reveals how to match AI to the way you personally do your best work. Use AI to pressure-test your thinking—never to hand over your judgment. That distinction changes everything. Asking AI "What questions should I be asking as a VP?" instantly elevates your perspective without years of experience. The worst thing you can do in a time of AI uncertainty is nothing. You must be in it to learn it. You know you should be using AI. You've heard the urgency, seen the headlines, maybe even opened ChatGPT, stared at that blinking cursor—and quietly closed the tab. Here's what I want you to know: that moment of hesitation doesn't mean you're behind. It means you haven't yet found your entry point. I'm Sabrina Braham, executive leadership coach (MA, MFT, PCC) with 30+ years of experience, and host of the Women's Leadership Success Podcast—top 1.5% globally with over 950,000 downloads. I coach senior women leaders at Stanford, Ernst & Young, Autodesk, and across the tech industry. And one of the most common things I hear from directors, VPs, and C-suite executives right now is: "I don't know where to start with AI." New research backs this up: Chief and The Harris Poll surveyed 1,000+ senior women leaders in 2026 and found that while 85% are active players in their organization's AI strategy, the approach matters enormously. The leaders who get ahead aren't the ones who automate the most—they're the ones who build human capability alongside AI. And according to the ANSR Women in Tech Report 2026, 69% of women who do engage with AI report it opens entirely new career pathways in product strategy, transformation leadership, and AI governance. In this episode of the Women's Leadership Success Podcast, I welcome back Barry O'Reilly—author of Artificial Organizations: Build Better Judgment, Speed, and Results with Machine and Human Intelligence, keynote speaker at Gartner's CFO Conference, and one of the most sought-after AI leadership advisors in the world. Since our last conversation, Barry has been traveling globally—observing how leaders at every level are (and aren't) adapting to AI. His findings are equal parts sobering and energizing. This is Part 1 of a two-part series. Here, we focus on women leaders using AI for personal growth, confidence, and career advancement. In Part 2, we go deeper into how AI can transform your strategic thinking and decision-making as an executive leader. Why Women Leaders Are Paralyzed at the AI Starting Line After keynoting Gartner's CFO Conference and spending months in leadership rooms across North America, Barry reports seeing the same pattern everywhere: hesitation. "People don't really know where to start," he says. "They constantly hear about new tools arriving in the market. They hear that everything they were meant to do last week is no longer the right thing to do this week. And it all leads to hesitation—which, counterintuitively, is the worst possible response." I know this directly from my coaching practice. I've spoken with women leaders who are brilliant, accomplished, and deeply capable—who are also avoiding AI entirely because they don't know what to do first. And I understand it, because I was there too. When I first started exploring AI, I treated it as if it were smarter than me—as if whatever it said must be right. That mindset kept me small. What changed? Doing the exercises in Barry's book. Going through them shifted me from intimidated observer to active director. Now, AI is my servant—I correct it, challenge it, redirect it. My creative and analytical output has genuinely expanded as a result. "Counterintuitively, the worst thing you can do when there's uncertainty is do nothing. Because you don't learn anything." — Barry O'Reilly This matters especially for women in tech, where the stakes are already high. The ANSR 2026 report found that despite women producing 43% of the world's female STEM graduates, only 14% hold C-suite seats. The gap isn't pipeline—it's systems. AI fluency is rapidly becoming one of those systemic differentiators. The women who build it now will have compounding advantage; those who wait will face a steeper climb. My Leading Before You're Ready playbook is built on exactly this truth: you don't wait to feel fully prepared. You use every available tool—coaching, community, AI—to think and show up at the level you're stepping into. The Traits, Tasks, and Tools Framework: The Smarter Way to Start with AI Most people approach AI for women leaders career growth backwards. They hear about a tool, jump into it, hunt for something useful to do, get mediocre results, and conclude AI isn't for them. Barry's Traits, Tasks, and Tools framework—one of the most referenced frameworks in Artificial Organizations—completely resequences this. The problem: "Most people with this technology just jump straight into the tool. They try to figure out a task to use it for. And only if ever do they ask themselves how they actually do their best work." That backwards approach locks you into the tool's opinions about how work should be done—which may have nothing to do with how you create your best thinking. Trait-First: Start With How YOU Do Your Best Work Before you open any AI tool, answer honestly: When do I do my best thinking? Are you a talker? Your best ideas emerge in conversation and dialogue. Are you a writer? You process and synthesize by putting things on paper. Are you a visual thinker? You need diagrams, maps, and frameworks to see clearly. Do you need solitude and quiet to generate insight, or energy and people? Barry's personal discovery here is instructive. Dyslexic and self-described as a D-student in English literature, he'd spent years trying to write like he imagined writers wrote—sitting quietly, composing prose. "I drank a lot of wine and sat by a lot of fires, but I didn't create much content." Once he recognized that his natural trait was talking, everything changed. He hired a journalist to interview him conversationally, used transcription to capture the output, and went from blank pages to 10,000 words of book content in roughly three hours. That's not a productivity hack. That's a trait-matched workflow—and it's what women leaders using AI for career growth need to build for themselves. Task-Next: Where Does Your Leadership Create the Most Value? Once you know your traits, identify the tasks where you create outsized value. Not the email and calendar management—the strategic work that shapes your team, your organization, and your career trajectory. This might be: Synthesizing complex information into clear executive recommendations Preparing for high-stakes meetings and presentations Developing your team's thinking and capability Building strategic scenarios and options for decision-making Crafting your executive narrative for visibility and advancement Tool-Last: Find What Matches Both Your Traits and Your Tasks Only now do you select tools. Barry matched his "talker" trait and "content creation" task to meeting co-pilots and transcription tools. For women leaders with different trait profiles: If you're a talker preparing for board presentations: Use voice-to-text capture combined with a generative AI to structure and refine your speaking points. Tools like Otter.ai for capture and Claude or ChatGPT for synthesis are a natural combination. If you're a writer preparing strategic memos: Use AI as a sophisticated thinking partner—share your draft, ask it to steelman the opposing view, and challenge every assumption. If you're a visual thinker: Use AI to generate frameworks and then render them in tools like Miro or Canva. Ask AI to "map this decision as a 2x2 matrix" and then build on what it generates. How AI Builds Leadership Confidence in Unfamiliar Territory This is the angle I brought to this conversation that Barry told me he'd never considered—and it's at the heart of what I see women leaders needing most right now. A director gets promoted to VP. A leader's company downsizes and she inherits three departments overnight. A high-potential executive gets tapped for a stretch role she doesn't feel prepared for. These are the moments when imposter syndrome spikes, when visibility feels risky, when the gap between who you are today and who the role requires feels widest. I asked Barry: "How can women leaders use AI to build their confidence in these transitions?" Here's how he frames the three levels of AI impact: Level 1 – Productivity: You bolt AI onto your existing workflow. Emails are faster, documents generate quicker. Real but modest—5 to 10% improvement. Level 2 – Performance: You use AI to pressure-test your thinking and challenge your mindset before high-stakes situations. Your judgment improves, and better decisions follow. Level 3 – Executive Presence: AI offloads cognitive load by capturing conversations, tracking decisions, and surfacing context. You arrive at every meeting calm, prepared, and fully present. This is where careers accelerate—and where women leaders using AI for career growth unlock the biggest competitive advantage. My own experience makes this concrete. I started using AI to help reorganize a storage shed—asking it to help me think through what goes where, what organization system would work best. After three days of working on it together, AI said to me: "You're getting better at this." And the following week, when I had a larger project,...

Talent is the most important variable in the future of wealth management, and most advisory firms are managing it on instinct rather than discipline. In this episode, Ray Sclafani introduces talent calibration as an executive imperative for financial advisory firm leaders. Drawing on research from McKinsey, Gartner, SHRM, and Deloitte, he presents a four-step framework for conducting stronger calibration conversations, and draws a sharp distinction between talent calibration and succession planning. For firm leaders building toward scale, this episode offers a practical framework for turning good intentions about people into the execution discipline that drives enterprise value.WHAT YOU'LL LEARN IN THIS EPISODEWhy talent calibration is an executive imperative, not a management taskThe critical difference between talent calibration and succession planningWhy most talent reviews fail to drive development, and what to do insteadHow to separate performance, potential, and readiness to make stronger people decisionsHow to determine the right frequency for calibration conversations at your firmTHE FOUR-STEP TALENT CALIBRATION FRAMEWORKStart with the future work of the firm before discussing individual namesDefine the roles that carry the most execution risk as the firm growsEvaluate talent using evidence, not impressionsTranslate calibration into decisions, owners, and actionREFLECTION QUESTIONS FOR YOUR LEADERSHIP TEAMWhat future work will require stronger talent, sharper leadership, and greater capacity over the next 12 to 18 months?Where are we relying on talent assumptions rather than talent evidence?Which roles pose the greatest execution risk if performance, readiness, or capacity is unclear?Which talent decision, development action, or role clarification would most improve execution right now?RESOURCES MENTIONEDSHRM 2026 Talent Trends ResearchGartner talent review and leadership bench researchMcKinsey performance management researchDeloitte 2026 Global Human Capital Trends ReportClientWise Executive Coaching and Team DevelopmentBuilding the Billion Dollar Business is hosted by Ray Sclafani, founder and CEO of ClientWise, the financial services industry's leading executive coaching and team development firm for elite advisors and wealth management teams.Find Ray and the ClientWise Team on the ClientWise website or LinkedIn | Twitter | Instagram | Facebook | YouTubeBuilding The Billion Dollar Business

Welcome to RIMScast. Your host is Justin Smulison, Business Content Manager at RIMS, the Risk and Insurance Management Society.   In this episode, Justin interviews RIMS Vice President of Content & Publications, Morgan O'Rourke, and RIMS Risk Management Magazine Managing Editor, Hilary Tuttle, on the Q2 digital edition online now. The discussion starts with Hilary's Hurricane prediction and the risks associated with storms. They discussed the risks of applying AI in the risk industry, and how using it for the simple tasks means your remaining tasks are the hard ones. To get the best results, be polite to your AI! Justin asks about Red Teaming, its purpose, and how it operates. Human behavior is an important consideration in risk management.   Listen for pointers on what to do as a risk manager for the rest of 2026, and some things to avoid.   Key Takeaways: [:01] About RIMS and RIMScast. [:16] About this episode of RIMScast. This is our mid-year risk review, and we will be rejoined by Morgan O'Rourke and Hilary Tuttle. They are here to discuss the major trends shaping the risk landscape; what's happened so far in 2026, and what we can look forward to. But first… [:47] RIMS Virtual Workshops. The next RIMS-CRMP Exam Prep with PARIMA will be held virtually on July 21st and 22nd. Registration links are in this episode's notes. [:58] We have a summertime webinar. On July 16th, Zurich will present "Too Hot to Ignore: Heat-Related Injuries and Workers' Compensation." Register at RIMS.org/webinars and via the link in this episode's show notes. [1:13] Also on the webinars page, you will see a two-part series hosted by the RIMS Membership Department. The "Classroom to Career" webinar series highlights how RIMS equips students with the knowledge, skills, and connections needed to thrive in risk management careers. [1:29] Participants will gain insights into industry trends, career pathways, and practical tools that help them confidently step into the evolving world of risk management after graduation. These sessions will be hosted on September 1st and 9th. [1:42] These sessions are member exclusives and are complimentary for RIMS members, of course. So, if you are interested in becoming a member, this would be the time. Visit RIMS.org/membership. [1:52] You can enroll now in the RIMS CRO Certificate Program in Advanced Enterprise Risk Management hosted by the famous James Lam. Beginning July 15th, workshops will be held bi-weekly from 11:00 a.m. to 3:00 p.m. Eastern Time. The registration link is in the show notes. [2:16] The RIMS ERM Conference 2026 will be held on November 19th and 20th in Columbus, Ohio. Registration will open in July. Be on the lookout for the call for nominations for the RIMS ERM Global Award of Distinction. Visit RIMS.org/ERM2026 in July for that announcement. [2:37] RIMS is back on YouTube. Our handle is @RIMSOfficialChannel. We've got plenty of videos there, including RIMScast, RIMScast Canada video podcasts, and other informative and entertaining content from RIMS. Subscribe to the channel today! [2:55] On with the Show! We are in the middle of the year, and that means that it's time for our mid-year risk review with two of my favorite people, Morgan O'Rourke, RIMS Vice President of Content & Publications, and Hilary Tuttle, Managing Editor of RIMS Risk Management Magazine.  [3:14] Morgan and Hilary are joining us today to discuss some of the highlights of the Q2 Edition of RIMS Risk Management Magazine, which is available now. [3:21] We're going to talk about hurricane preparedness, reputation, red-teaming, AI, and other emerging trends that risk professionals should be aware of, avoiding, and embracing. We're going to have a lot of fun! Let's get to it! [3:35] Interview! Morgan O'Rourke and Hilary Tuttle, Welcome Back to RIMScast! [3:42] Justin mentions that the Publications Department is a team of five. After nine years, Justin is still the second-newest person. [4:29] Morgan says Risk Management Magazine has articles going up every week. Every quarter, they have a digital issue, reminiscent of a physical magazine, with pages and a table of contents. When this episode is released, the Q2 digital issue was published a week ago. [4:54] RIMS Risk Management Magazine has occasional special issues, on ERM and the Special RISKWORLD Awards Issue. Hilary says the Editor's Picks are articles you may have missed on the website. Morgan says it's sometimes new stuff, or archival stuff that's still relevant. [5:30] Morgan says they try to publish in a frequency and format that everybody can appreciate. Morgan and Hilary miss the physical print magazine. Justin thinks they've maintained the essence of the print magazine. Morgan says that's what the digital magazines are meant to do. [6:22] Morgan says print is not necessarily the way that everybody consumes things nowadays, so you've got to be where everybody's attention is, and that's what we're trying to do. [6:40] The Marquee article in the Q2 digital edition is Hilary's coverage of the 2026 hurricane season outlook. Hilary is well-versed in hurricane preparedness and seasonal outlooks. Hilary says this year, a lot of the forecasts are calling for a below-average season. [7:26] This year, Hilary focused on factors that will make the season different. She focused on macroeconomic volatility, geopolitical instability, and U.S. Federal budget cuts as some of the biggest complications this year that are making a fragile and challenging recovery landscape. [8:03] Hilary says we talk about increased prices in disaster materials, preparation materials, supply problems, and a Federal support system characterized by defunding or dysfunction, and what that means for risk managers tasked with hurricane preparation or recovery. [8:43] Hilary says, looking beyond the forecast, it's important to assess how your resilience strategy is going to hold up in practice. Even a single landfall is going to be more expensive, potentially. The cost may be higher than ever. Response materials are 40% more expensive. [9:28] Justin says we had a risk engineer from Global Risk Consultants on the show recently, talking about the physical preparations, 48 hours, 36 hours, and 24 hours before an impact. [9:56] Hilary says, between materials shortages and price increases, the supply chain is potentially going to be a huge problem for disaster preparation and responses. Getting things is difficult with the Strait of Hormuz closed. People are seeing it across industries and materials. [10:22] Some response materials are also going to be more expensive because of the increased cost of oil. Hilary found that interesting when reporting the piece. Generator fuel is drastically more expensive than it has been. [10:43] It's a best practice to have 72 hours' worth per generator on site, if you're in a high-risk area. [11:55] Materials that require petrochemical input include plywood and structural lumber. Boarding your windows is going to be more expensive, if you can get it. Transport costs are going to be drastically higher. [11:11] Heavy-duty plastic sheeting is a petrochemical-related product. Some products also use by-products of the crude oil production: polymers, petroleum derivatives, and plastics, like rubber seals. All of those will be more expensive as crude oil fluctuates. [11:40] Morgan says you have to prepare for increased costs. You may be underinsured for the costs of materials you may have insured for in the beginning. Be aware of increased costs and do what you can to prepare, whether by increasing coverage or buying more in bulk. [12:10] If you're going to face increased costs, the more you do beforehand to offset those costs is probably for the better. Hilary says she put together 10 detailed and useful tips. One thing that she bumped up the list is to revisit your insurance values and policy limits. [12:40] Hilary thinks the risk of underinsurance is worth underscoring this year. It is going to be drastically more expensive to rebuild. Make sure you have the coverage you need to cover those expenses and the expenses of potentially needing to relocate when things are closed. [12:56] Car parts are drastically more expensive, so if you operate fleets, it's worth noting that those metals are delayed and pricier because of tariffs and supply chain problems. [13:11] Hilary says it's also worth noting that we had Tropical Storm Arthur last week. It never reached hurricane strength, but it still managed to do four to six billion dollars in damage, according to initial estimates from AccuWeather. [13:27] Tropical Storm Arthur hit the Gulf Coast and did a lot of damage in terms of business interruption, delayed flights, and extended power outages. In terms of business continuity, it doesn't need to be a hurricane to do a tremendous amount of damage. [13:47] AccuWeather says the hurricane classification system is solely based on wind speed. Wind does not do as much damage as water. Storm surge, inland flooding, and water damage are not reflected in hurricane classification. We shouldn't just be concerned about hurricanes. [14:21] The peril and the need for preparation are just as dramatic for other storms. [14:28] Morgan notes that the storm season started on June 1st, and we had a billion-dollar potential damage storm within a week or so. Hilary says it's one of the earliest we've seen. [14:46] Morgan says they're usually more in the fall. In some years, we've seen tropical storms before the season. Storms are not necessarily confined to the Atlantic Coast. There are Pacific storms to take into account. [15:18] Morgan learned about Pacific storms from Hilary. In between Hilary's article drafts, there were three Pacific hurricanes that formed, so she had to update the story. The Super El Niño is the climate pattern that creates these storms in the Eastern Pacific.  [15:47] With the Super El Niño, you get more activity in the Eastern Pacific and less in the Atlantic because of warmer waters in the Pacific and more Trade Winds in the Atlantic that act to break up storm formation. [16:05] Parts of Central America, Mexico, and the West Coast are going to be at increased risk. Hawaii, as well. Morgan says one of the more impactful storms on the Pacific was named Hilary in 2023. Hilary was a billion-dollar storm that killed three people. [17:21] A Quick Break! There are so many other wonderful RIMS events coming up in 2026. The Annual Florida RIMS Educational Conference will be held from July 28th through August 1st at the lovely Ritz-Carlton in Naples, Florida. A link to the event is in this episode's show notes. [17:40] Register now for the Second Annual RIMS Texas Regional Conference, which will be held from August 10th through 12th at the Grand Hyatt on the San Antonio River Walk. [17:51] The 11th Annual Chicagoland Risk Forum will return to the Old Post Office on Thursday, September 24th, 2026. Visit ChicagolandRiskForum.org for more information. [18:01] The RIMS Western Regional Conference will be held from October 4th through the 7th in Seattle, Washington. The agenda is live, and registration is open. Visit RIMSWesternRegional.com and the link in this episode's show notes for more information. [18:18] Save the dates October 18th through the 21st. We will be in Quebec City to celebrate the 50th Live RIMS Canada Conference. Booth sales are open, and sponsorship opportunities are still available. Advance registration is open now. [18:35] Visit RIMSCanadaConference.ca for more information. Also, remember to check out RIMS.org/Canada for our spinoff show, RIMScast Canada, hosted by National Conference Committee Chair, Aaron Lukoni. [18:50] The RIMS ERM Conference 2026 will be held on November 19th and 20th in Columbus, Ohio. Registration opens in July. [19:01] Be on the lookout for an announcement about submissions for the RIMS Global ERM Award of Distinction. Visit RIMS.org/ERM2026.  [19:12] Let's Return to Our Interview with RIMS Risk Management Magazine's Hilary Tuttle and Morgan O'Rourke! [19:31] Justin says artificial intelligence is on people's minds. It's evolved into a data governance and operational risk challenge. [19:52] Morgan's first reaction concerning AI is, "What else can we say about this?" There is a little bit of burnout about AI. Hilary says we get so many articles. Morgan says there does need to be attention paid. What are your AI use policies? Are your employees introducing risk with AI?  [20:42] Morgan says there was a cybersecurity survey cited in the issue. The biggest risks they are seeing are misinformation and disinformation. IT people don't consider themselves or their companies prepared to identify those risks across the board. Justin quotes that ISACA poll. [21:45] Hilary says you're seeing a lot of shadowy AI use; a lot of unlicensed and unsanctioned use. If your company allows you to use Copilot, but you're using ChatGPT and Gemini, that's unsanctioned use. [22:15] Morgan says dropping an entire report in that might be proprietary information, to distill that into a public environment; not just opening the program, but what you're putting into it, may be stuff that no one would want out. [22:31] Hilary says a recent study showed that 90% of organizations have employees who regularly use personal AI tools at work. Forty percent of companies have bought official subscriptions to AI services because they get different privacy protections than free versions. [22:51] Fifty percent of companies are running on shadow AI. They're either letting employees foot the bill by using personal subscriptions or using a free mode, and that's a disaster. One of the things a lot of organizations aren't thinking about is the cost of subscriptions and tokens. [23:10] A lot of companies that are starting to adopt AI at a large scale and are footing that bill are running into astoundingly large bills for these services and not factoring in that it is not free computing power. It is not a free tool. [23:28] Now that some of these companies are going IPO, if tools are free, they're not going to stay free. Morgan says, it's one of those things that, although it's not necessarily something you want to hear for the fifteenth time, it doesn't mean you shouldn't be doing something about it. [24:03] Hilary adds that hidden costs are a big thing people aren't thinking about. People are thinking about governance, which is incredibly important. The market for that is also booming. People have an interest in making you afraid of it, as well as selling it to you in the first place. [24:22] Hilary says, the governance market is going from $200+ million two years ago to an estimated three or four billion dollars by 2037. It's a huge industry to make you dependent on AI and to charge you to govern it or make it safer. [24:43] Hillary says we're seeing studies that companies have made huge investments in AI, and are not seeing an ROI. A recent study showed that 5% of organizations have had transformative ROIs. The other 95% said there is zero measurable impact on Profit & Loss, if not a net negative. [25:10] Hilary says one CEO said that unless it's for coding specifically, we're not going to get monetary value whatsoever out of AI. A lot of companies that have fired people are starting to reverse course really quickly. [25:24] Hilary says companies that make AI are walking back a lot of their claims about how transformative it's going to be. They had said there would be a job apocalypse because widespread job automation would be so easy. They're walking that claim back. [25:47] The COO of Uber said that gains in productivity were absolutely nothing compared to the increased AI-related expenses they are experiencing. They're walking back a lot of their investment. [25:58] The former Chief of AI at Microsoft said that employees default to automating tasks that they dislike, rather than ones that create value. Morgan says it speaks to being practical about what you're going to get out of it, as opposed to it being a magic button to press. [26:28] Morgan says that in the early going of anything, there's a spike of promise and then reality kicks in. AI is not going to be tossed aside. Hilary says there's a hype bubble around AI, that AI is for everything, and that AI would replace everyone. Companies are laying off. [26:59] Hilary says last year, 125,000 tech workers lost their jobs. In 2026 through June, already 120,000 tech workers have lost jobs. We are seeing an overinflated promise of what AI is going to be. People are slowly beginning to realize AI is to augment employees, not replace them. [27:25] Morgan says there's a push for "the human in the loop." People have come to recognize that we can't leave people out of this, if only to check the accuracy of results. You can't replace workers because there's stuff that the AI can't do. [27:42] Morgan says AI is always going to tell you what you want to hear. It's going to give you stuff that's already out there. It's not giving you new information; it's just distilling it differently. [27:55] Hilary says there's an important core competency people need to be developing now. Taking a quick look at a thing and saying it makes sense is not an adequate amount of oversight to provide for things you're using AI for, particularly as you start using it more and more. [28:14] AI is structured to give you things it thinks you want, or to predict what you would do. The results may seem well-written, but you must pay attention to what's in it and whether it makes sense. [28:33] Hilary says some people submit stories to RIMS Risk Management Magazine that simply restate things; they don't explore ideas. With AI, don't just look to approve it; look to assess it and analyze what it is doing before you put it forward. [29:14] Hilary says, to be very clear, RIMS Risk Management Magazine does not accept articles that are written by AI. When it comes to articles about AI, they've seen just about everything. [30:11] Morgan says he would probably be interested in practical use cases that are not promotional, if somebody found some success using AI, that fellow risk professionals could benefit from, as well, and not something so proprietary that it only works for their company. [30:26] Morgan says it should be something like where AI might be able to help risk managers in general. A lot of people are using AI for different things. It's not about the only best practice, but helping the magazine establish a list of best practices for AI in the risk process. [30:50] Hilary says it's also helpful to get articles that have practical guidance on what people are using that is useful in terms of governance. How are they crafting effective policies? [31:01] How are they working to train their workforce on best practices so they're using AI responsibly and getting the most out of it? How are they exploring the ideas of customization, if that is something their company is doing in-house? Practical articles. [31:17] Hilary says she is seeing a lot of articles on legal exposure and how that is shaping up since all of the case law is so nascent. What are the exposures? What are the liabilities other organizations are learning in real time that you can start guarding against? [31:35] Morgan says there are a lot of cases working through without a lot of precedent. Some of these cases will become precedents. Four years ago, everyone was talking about basic, general risks. Now we are talking about specific risks of real applications. [32:04] Hilary says there is interest in the costs of AI. That's underexplored and would be interesting to read about. Are companies seeing that it's having impacts they haven't anticipated? Every prompt you give to ChatGPT, even 'thank you," is a payment to OpenAI. [32:54] Hilary says a study showed that 80% of people are saying "please" and "thank you" to the AI because they don't want to make it angry; 18% are doing it because they say it's just the right thing to do. Hilary puts "thank you" at the end of a prompt, so it's not an extra prompt. [33:22] Hilary says, some AI platforms perform better when you talk to them politely. ChatGPT will give you more coherent, nicer, and polished answers if your input is polite. Morgan refers to the Terminator movies. Hilary says, You want to be polite, but you don't want to be empowering. [34:02] Hilary says, in a video from the American Psychological Association, a professor from Michigan State talked about the underappreciated problem with AI, that if you automate the easy parts of your job, then 100% of your job is the hard parts, a guaranteed ticket to burnout. [34:39] You've made the easy wins and the low-level stuff that your brain needs to recover, a part of your job that you don't get to do. You don't get those bits. Everything is complicated, difficult, and exhausting. That's not how the brain is designed to function. [35:00] Morgan says, We don't want AI to do the fun or easy stuff. Hilary says, Think of a call center. If it's a simple thing, like "What time do you open?", or "Do I have a warranty?", AI can close them easily. That leaves you with a furious customer yelling at you for 20 minutes. [35:25] If that's all you do, all day, every day, what is your life going to be like? Then you start putting things on hold because you need a second. If your goal was efficiency, you're not making it more efficient; you're adding more buffer time because you can't handle that all the time. [35:59] Another Quick Break! The Spencer Educational Foundation's Funding Their Future Gala 2026 will be held on September 17th in New York City at the Waldorf Astoria. This year, Spencer will honor Sierra Signorelli of Zurich and our recent guest, Marya Propis of RT Specialty. [36:19] A link to the Gala is in this episode's show notes. [36:21] We have reached the deadline for the Spencer Educational Foundation's Risk Manager on Campus submissions. Grant awardees, colleges, and universities are typically notified in September. [36:37] General Grants are open, and the application deadline is July 30th. Internship Grant applications open on August 15th and close on October 15th. [36:48] Links to each of these grants are in this episode's show notes. Visit SpencerEd.org for more information. [36:56] Let's Conclude Our Interview with Morgan O'Rourke and Hilary Tuttle of RIMS Sisk Management Magazine! [37:09] Morgan and Hilary have released the Q2 Digital Issue of RIMS Risk Management Magazine. There's an article about red teaming. Morgan says Red teaming is conducting a crisis simulation. You have a team that is the adversary, challenging your assumptions and plans. [38:04] Hilary says they are immersive exercises that involve some form of offense and defense. It's basically wargaming. [39:10] The feature on reputation red teaming suggests that organizations need to prepare for the first 48 hours. In a crisis, it's the first 48 hours of the crisis as much as the crisis itself. [39:40] Morgan says social media is going to amplify the impact of a crisis immediately. Consider the knee-jerk reactions you see online to anything that's happening. If your company loses control of the narrative, people are telling a story that isn't your story and isn't accurate.  [39:55] Morgan says there was a story that Jeff Bezos had said that we should be using water for AI purposes rather than human consumption because AI will solve more problems. But Jeff Bezos never said that. Social media amplifies something before people question its validity. [40:37] Morgan says we're in an environment where "crazy," more often than not, sounds possible. Hilary says social media is a force multiplier for a lot, particularly when there are zero content moderation controls, leading to misinformation, disinformation, and hate speech. [41:04] Morgan points out that even with moderation, something can be put up and seen before it's moderated. The Bezos story is on Snopes that it's not true, but how many people follow up a story like that after they see the headline? They might not know where they saw it. [41:34] The point of throwing these reputation red teaming exercises together is to acknowledge the fact that not only do you need a plan, but the plan has to be in place to be able to move quickly. [41:44] When it comes to a crisis that happens within your organization, one of the biggest parts of it is the reputation elements. People run with it, "Not only is this a bad thing an organization did, or a questionable thing, but they're terrible for it and irredeemable." [42:04] If you can't put out a statement in the first 12 hours after something happens, because you weren't ready for it, that means you entirely miss out on any opportunity to correct that misinformation and be a part of the narrative that actually steers the conversation. [42:30] Morgan speaks about attention spans. People see a headline and then move on to the next headline. Your first impression may be their only impression. Act quickly. Have the people in place and the plans in place. The exercise is for people to poke holes in your plan. [42:59] Justin says it's a good article, and the author, Ted Skinner, gives you actionable takeaways. Morgan likes the article but had not heard of red teaming. [44:05] Hilary says red teaming is very common in cybersecurity. This is the first time they have run across it in other applications. [44:48] Justin brings up human behavior. It's in the Q2 issue. It permeates every risk. You can't just let AI do your job for you; you have to put a human perspective and input into it. Human behavior impacts employee misconduct. There was an article on it in the RIMS Weekend Read. [45:17] Employee misconduct is on the minds of risk professionals and executives. [45:27] Morgan says culture is a good stopgap measure to have. A risk manager can't be everywhere at once. If your organization has a risk-aware culture, it can stand in for you when you're not around. If everyone's aware of risk, you don't have to be the only person watching. [46:02] Hilary says culture is your sunscreen. It's your everyday, it's your automatic. It's the thing that you need to do to prevent the majority of photoaging and skin cancer. Some of the more subject-specific areas are your serums to spot treat your hyperpigmentation and redness. [46:21] It depends on what your specific skin is like. Are you focusing on wrinkles? Are you adding antioxidants? The sunscreen is the thing you need every day, as it covers the vast majority of problems. [47:05] Morgan says the human element is always necessary to interweave into all of this because it's one of the things you can control. You can't control geopolitical events or storms, but you can control whether or not you put the sunscreen on. [47:25] You can control whether or not you have plans in place for any disaster. That's what allows you to sleep at night. You can do something in an environment where it feels like nothing can be done. That can get overwhelming. [47:42] Hilary says part of overcoming that overwhelm is the empowerment that comes with educating yourself and doing the work. You can't control geopolitical risk. What does that mean for your organization? What does that mean for your cost of materials? [48:06] It takes time, and it's not glamorous to look up how much asphalt we use in a year. The stuff that keeps all the gravel together in asphalt is a by-product of oil production, and drastically increases in price. What does it mean if your supply chain is going to be drastically delayed? [48:33] Those are the ways you can empower yourself and make a difference within your organization with some of these big, ephemeral risks. You need to think, What does this mean for us? [48:49] Hilary says one of the things we evaluate with our goals and the single most common edit note that I give on submitted articles, is "So, what? Yes, that is a risk. What does it mean for you? What do you do about it? What consequence does this have for your organization?" [49:20] Those questions are the distinctions between an article I read and an article I publish. Those are the distinctions between a risk manager who is informed and a risk manager who is empowered. [49:55] Justin asks, based on the Q2 issue of RIMS Risk Management Magazine, and on what they heard and saw at RISKWORLD 2026, what actions should risk managers take before the end of 2026? [50:12] Morgan says it depends on where you come from and understanding where risks exist, for you, and breaking it down to the things you can control, looking at where all these big-picture things intersect your business. [50:33] That comes down to strengthening your fundamental risk management practices to make sure you don't lose sight of the basics. [50:47] There is some talk of the property insurance market softening. That may give you more funds to invest in training or in infrastructure improvements. At least, reassess your policy's terms and conditions and see if you might take advantage of pricing. [51:12] Those are the fundamentals of risk management. In a time when everything is crazy, when it's a polycrisis environment, those are the things you're going to have to do; otherwise, it will get too crazy to look at all the big stuff. [51:34] Hilary agrees. Focus on localized impacts, whether it's the impact of the supply chain disruption on your business, or a storm, or inflation, and also, work on your skill set, learning to have a critical eye when it comes to how and if you're using AI, and what it's being used for. [52:00] Hilary says there's a 56% wage premium for workers with AI skills, according to PWC. A lot of self-improvement and educational things are critical to doing your job well now, but they also set you up to be more prepared career-wise. [52:16] Hillary touches on thinking about what some of these impacts do to your workforce. AI is a tremendously stressful and confusing one for your workforce, so redirecting some money into training programs is a great option. You'll have a better workforce, and they'll feel better. [52:41] Studies show that the more training you offer, the less resistance you get when it comes to tool integration, and the better outcomes. [52:51] When it comes to storm season, you're dealing with a standing inflation, but so are your workers. If they can't afford plywood to board up their houses, that's also a problem. If they are displaced, you have a displaced workforce, and that means business interruption. [53:07] What can you do to assist? Is that ordering things in bulk, so you have some purchasing power to help them obtain supplies? Is that providing emergency kits so they are prepared at home, and you have a more prepared workforce that comes back to work sooner? [53:28] Think small when the big stuff is a little too big. [53:41] Morgan says, the other side of the coin is to avoid getting distracted by headlines that maybe don't have as much relevance. Educate yourself to know what technology works for you. If you just take things on faith, that may not be fit for purpose for you. [54:14] Hilary says a wait-and-see approach with a lot of emerging technology is proven to be the best course of action, and Hilary recommends it. Focus on augmenting employees, not replacing them. [54:36] According to Gartner, 50% of AI layoffs are going to be reversed by 2027. A lot of people who acted fast and cut people because they overestimated the impact of AI are going to be hiring those people back, and probably for more money, not to mention retraining costs. [55:02] Some people are calling it a layoff boomerang. It's coming back. Those who were not overly hasty are the ones who will fare better in the long run. That's an important lesson to keep in mind when it comes to making some of these decisions, going forward. [55:28] Morgan says, nobody would have said we're going to have a war that's going to dominate all the headlines. Hilary says, if you told me there was going to be a war, Iran wouldn't have been my first guess. [55:42] Morgan says, We're starting storm season. We're anticipating it being a mellow storm season. It doesn't mean it will be. It's the nature of the game that there are a lot of unanticipated things. [55:57] Hilary says a dry hurricane season comes with increased dryness, which means increased wildfire risk. It's always something. It's either flooding or it's burning. Which you prefer is largely subjective. [56:24] Morgan says it's one of those years where it's tough to predict anything, because every day it's something new, which is what keeps risk management interesting. Hilary agrees. Morgan says he's still interested. [56:49] Justin says, It's been great to have you rejoin us. It's always fun! These are some of my favorite episodes to produce. Everyone, go to RMMagazine.com. RIMS members get access to the "turn the page" edition, but anyone can view a lot of the articles online. [57:11] The Awards issue is also at RMMagazine.com and RIMS.org/Awards. There's a listing of the folks who won, as well as links to the issue itself, where you can read more about those individuals. Learn editorial guidelines for contributing articles at RMMagazine.com/Contribute. [57:39] Hilary says There are also our Topics pages, if you want any subject-specific coverage. It's a great way to navigate within the website. Natural disaster things don't vary that wildly, year to year, when it comes to preparation best practices. [57:58] In submitting article pitches, keep in mind that Hilary will ask, "So what?" If you're submitting something, ask yourself that. So what? Why should somebody care to read this? [58:29] Justin says, Look at her Hurricane Outlook, and the Red Teaming article for good examples of what we're looking for. The Hurricane Outlook is far more in-depth than what we're expecting from the typical outside contributor, but it should give you a good starting point. [58:46] I'd like to congratulate you on another wonderful quarterly edition of RIMS Risk Management Magazine. I look forward to seeing you at upcoming RIMS events, and thank you so much for joining us. [59:00] Special thanks again to Morgan O'Rourke and Hilary Tuttle for joining us here on RIMScast again. The Q2 Edition of RIMS Risk Management Magazine is now available on RMMagazine.com. [59:12] If you want to contribute, check out RMMagazine.com/Contribute for the editorial guidelines. You can reach out to Morgan O'Rourke and Hilary Tuttle. And our Editor, Jennifer Post there, as well. [59:23] We're certainly going to have them back for our Year in Review episode of RIMScast, but if and when major news happens, or I run out of guests, they just may come back and rejoin us here on RIMScast.  [59:36] Plug Time! You can sponsor a RIMScast episode for this, our weekly show, or a dedicated episode. Links to sponsored episodes are in the show notes. 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RIMS Virtual Workshops On-Demand Webinars RIMS-Certified Risk Management Professional (RIMS-CRMP) RISK PAC | RIMS Advocacy RIMS Strategic & Enterprise Risk Center RIMS-CRMP Stories — Featuring RIMS President Manny Padilla!   RIMS Events, Education, and Services: RIMS Risk Maturity Model®   Sponsor RIMScast: Contact sales@rims.org or pd@rims.org for more information.   Want to Learn More? Keep up with the podcast on RIMS.org, and listen on Spotify and Apple Podcasts.   Have a question or suggestion? Email: Content@rims.org.   Join the Conversation! Follow @RIMSorg on Facebook, Twitter, and LinkedIn.   About our guest: Morgan O'Rourke | Vice President, RIMS Content & Publications Hilary Tuttle | Managing Editor, Risk Management Magazine   Production and engineering provided by Podfly.

What can classic vacation movies teach us about building stronger, smarter supply chains? In this episode, Scott W. Luton welcomes back Mike Griswold, Vice President Analyst at Gartner, for another fun and insightful edition of Supply Chain Today and Tomorrow. With summer vacation season in full swing, Scott and Mike take a creative look at the supply chain and leadership lessons hidden inside classic vacation themed movies, from Vacation and Home Alone to Jurassic Park, Jaws, Planes, Trains and Automobiles, and Apollo 13. Mike breaks down three major themes every supply chain leader should keep in mind: preparing for disruption, improving visibility, and understanding how human factors drive outcomes. They also discuss the ongoing impact of AI on operating models, organizational design, talent strategy, and practical adoption. Mike shares why AI is no longer a question of “if,” but “how,” emphasizing the importance of augmentation over automation and the continued need for human oversight. From planning for disruption and avoiding single points of failure to listening to frontline warning signs and keeping teams focused during a crisis, the conversation delivers timely, actionable insights for leaders navigating today's complex supply chain environment with creativity, clarity, and resilience. Jump into the conversation: (00:00) Intro (02:03) Mike's favorite vacation story (04:34) Listener mail and practical AI adoption (08:29) Changing the CSCO perception (11:30) Supply chain lessons from classic movies (12:29) What National Lampoon's Vacation teaches about disruption (17:21) What Home Alone teaches about visibility gaps (23:11) What Jurassic Park teaches about human factors (26:13) Apollo 13 and leadership under pressure (32:09) Gartner events and the Top 25 preview Additional Links & Resources: Connect with Mike Griswold: https://www.linkedin.com/in/mike-griswold-6a68922/ Learn more about Gartner: https://www.gartner.com/ Learn more about the Gartner Supply Chain Top 25: https://www.gartner.com/en/supply-chain/research/supply-chain-top-25 Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Peak Reality Check: What Shippers, Analysts, and AI Models Are Predicting for 2026: https://bit.ly/4aTlsRv WEBINAR- The Future of Supply Chains: Where Talent Meets Technology: https://bit.ly/4uUuxkc This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/supply-chain-lessons-vacataion-movies-pop-culture-chaos-1602 The content in this video, including all audio, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.  For licensing inquiries or permissions, please contact us at production@supplychainnow.com © 2026 Supply Chain Now. All rights reserved. The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week, we discuss Fable follow-up, Gartner's AI Governance MQ, and the war for AI talent. Plus, Matt and Brandon review Disclosure Day. Watch the YouTube Live Recording of Episode 578 Runner-up Titles Ready to podcast from a sailboat It's just people fighting Calculator budget Ask Siri to do your homework Software Defined Consulting: SDC The Magic Platform AI Curious I watched ALLLLL the keynotes. I don't know that, but I know that You gotta stay to vest Brandon, remember Cursor? Educated Hater Rundown Gartner Magic Quadrant for AI Governance Platforms IBM recognized as a Leader in the Gartner® Magic Quadrant™ for AI Governance Platforms  What is an "AI Governance Platform? AI Consolidates Talent Alphabet paces for worst day in a year on AI concerns after high-profile exits OpenAI co-founder Andrej Karpathy joins Anthropic's pre-training team Supercharge your cloud operations with the Kiro power for AWS DevOps Agent Relevant to your Interests Intel ex-CEO Pat Gelsinger joins faith-focused tech firm Gloo Explore more than a decade of survey data across markets Did Slate Accidentally Reveal Its Electric Truck Price? Shocking MSRP Apparently The Real Reason Anthropic's Models Are Offline: A Six-Year-Old Trump Grudge Introducing Enterprise NAS, Built on ZFS 'Fix this code.' The three words that led the U.S. government to ban … Hyundai takes full control of Boston Dynamics as SoftBank exits for $325 million Opinion | The Secret Reason Bosses Want Everyone Back in the Office, Every Day of the Week Meta Exposed Data Internally From Its Controversial Employee-Tracking Program Chevron to fuel massive Microsoft data center in Texas using natural gas Getty Images Soars 200% in Early Trading After OpenAI Deal U.S.-Backed Chipmaking Startup Chaired by Former Intel CEO Is Raising $350 Million OpenAI unveils its first custom chip, built by Broadcom Run isolated sandboxes with full lifecycle control: AWS Lambda introduces MicroVMs Anthropic's Claude Tag is learning your company, one Slack message at a time Sponsors Sentry - Quit Buggin': use code sdt26 for $100 in credit for new customers Nonsense Wiz Ice Cream for CISOs IN THE WEIGHTS Conferences WeAreDevelopers Europe, July 8-10, 2026 Berlin, Coté speaking. DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 25 Free Tickets DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Disclosure Day Matt: Izzard: The Tragedy of Hamlet Coté: The Millennial Aesthetic Coté's CFP acceptance rate chart Coté's newsletter

Most organizations are committing serious capital to AI and can't answer a basic question: how much are we actually spending, and on what? That accountability gap is about to close, whether data leaders are ready or not.

In "The Dark Data Trap: Unlocking Logistics Documents with Tungsten Automation's Patrick Van Hull" Joe Lynch and Patrick Van Hull, Supply Chain Industry Consultant at Tungsten Automation, discuss how intelligent document processing eliminates manual data traps to drive logistics efficiency and cost savings. About Patrick Van Hull Patrick Van Hull, widely recognized as the Supply Chain Storyteller, helps organizations transform complexity into clarity. A multi-time "Top 25 Global Thought Leader and Influencer on Supply Chain" and Supply Chain Pro-to-Know, he focuses on supply chain digitalization and capability development, showing how operational details can drive resilience and performance across the value chain. Patrick's career spans more than two decades, with leadership and advisory roles at Apple, Dell, Rio Tinto, and CVS Health, Gartner, Deloitte, and SCM World, he became known for bridging practitioner expertise with executive-level insights to turn data and technology into impactful strategies and programs. Most recently, he has focused on helping enterprises use AI-powered intelligence to strengthen resilience and anticipate disruption. He holds degrees from the University of Michigan and Duke University Fuqua School of Business, and lectures on supply chain strategy at the University of Arkansas Walton School of Business. About Tungsten Automation Tungsten Automation, formerly Kofax, is the global leader in AI-powered document and workflow automation solutions, boasting a 40-year trusted legacy and a team of 2,200 employees across 40 countries, serving over 25,000 global customers. Our commitment to innovation and customer success has earned us industry recognition, including being named a Leader in the 2025 Gartner® Magic Quadrant™ for Intelligent Document Processing. Tungsten has also been recognized by other key analysts in areas such as Intelligent Automation and Process Orchestration. We are trusted to help businesses achieve unprecedented efficiencies and reduce costs through document and workflow automation, allowing them to scale and future-proof their business. Key Takeaways: The Dark Data Trap: Unlocking Logistics Documents In "The Dark Data Trap: Unlocking Logistics Documents with Tungsten Automation's Patrick Van Hull" Joe Lynch and Patrick Van Hull, Supply Chain Industry Consultant at Tungsten Automation, discuss how intelligent document processing eliminates manual data traps to drive logistics efficiency and cost savings. Tungsten Automation Profile: Formerly Kofax, Tungsten is a global leader in AI-powered Intelligent Document Processing (IDP) and advanced workflow automation. Backed by a 40-year legacy, 2,200 employees, and 25,000+ global customers, the company was named a Leader in the 2025 Gartner® Magic Quadrant™ for IDP. Their cloud-based platform sits cleanly over multiple, fragmented ERP and TMS networks to pull and push data seamlessly. Escaping the "Dark Data Trap": Moving a single international ocean container can require upwards of 30 separate documents. Because traditional TMS and ERP platforms can't read unstructured data (like dense PDFs, faxes, or Excel spreadsheets), this critical info becomes trapped "dark data." Tungsten uses IDP to automatically ingest, classify, and extract line-item data from over 40 different logistics document types, turning paper trails into structured, digital assets. Slashing AP Errors & Driving Revenue: Manual touchpoints in freight invoicing lead to constant billing discrepancies and human errors. Through automated multi-way matching, reconciliation, and automated exception handling, Tungsten drives "zero-touch" processing for order management and invoices. In one case study, acting as an automated "quality check" against contracted rates helped a major freight shipper capture an incremental $20 million in annual revenue. Preventing Customs and Shipment Delays: When data errors or missing documents hit customs or a port, shipments grind to a halt, triggering costly penalties, demurrage fees, and port congestion. Tungsten automates data extraction and email ingestion for customs clearance, validating regulatory documentation and compliance checks before shipments ever hit major bottlenecks. Accelerating Carrier and Supplier Onboarding: Traditional onboarding forces procurement teams into a weeks-long "paper chase" of manual risk assessments and compliance reviews. Tungsten uses automated self-service portals paired with automated risk assessments—such as using the platform to instantly verify the legitimacy of bank and credit statements—condensing onboarding timelines from weeks down to a matter of days. Bridging the Gap Between AI Hype and Reality: AI cannot solve supply chain issues without clean, unified data. Patrick notes that trying to run raw, messy documents entirely through an unguided Large Language Model (LLM) can cause the AI to run wild, exhausting months' worth of token allocations in a single week. Tungsten effectively solves this by embedding AI directly into workflows, blending traditional rules-based automation (RPA) for standard patterns with Generative and Agentic AI to manage highly complex exceptions. Elevating the Human Experience: Eliminating rudimentary data entry is ultimately a personal win for the workforce. Moving away from "swivel chair activity" and manual data chasing reduces friction and human error. By shifting repetitive tasks to automated workflows, logistics employees are freed up to use human ingenuity, focus on creative problem-solving, and ultimately enjoy more meaningful, higher-value work. Learn More About The Dark Data Trap: Unlocking Logistics Documents Patrick Van Hull | Linkedin Tungsten Automation | Linkedin Tungsten Automation Tungsten's Summits The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

In this episode of Gartner ThinkCast, we explore how executive conversations about AI are rapidly evolving — and why focusing on ROI alone is no longer enough. Drawing from his standout session from Gartner CIO Leadership Forum, VP Analyst Nate Suda unpacks three distinct C-suite perspectives shaping AI strategy today: value, workforce and operating philosophy.   You'll learn: The three critical AI conversations happening across the C-suite Why ROI is no longer a sufficient measure of AI success How "human-plus" work and shifting team boundaries are reshaping the organization What defines an AI-shaped enterprise and how to start thinking like one   Dig deeper: Learn how to communicate AI's value Attend a Gartner CIO Conference near you See why Gartner is the world authority on AI  

For most of the internet's life, proving identity has meant proving something you know or something you hold: a password, a code, a text message. Kevin Surace, CEO of TokenCore, argues that era is closing fast. As one of the people who helped invent the AI assistant at General Magic, he has a clear view of why the same technology now makes faces and voices simple to fake. Why isn't MFA enough? Because it protects a weak foundation. A decade-old paper mapped fifteen ways to defeat SMS codes, auth apps, and push approvals. Few attackers bothered with them until platforms like Salesforce and Microsoft made those methods mandatory. Now the attack has moved to where the door is. Surace walks through one of the common methods: an AI-written phishing email from a service you already trust, a PDF, and a pixel-perfect login page generated in moments. The credentials you enter relay to an attacker who is logging into the real site in real time. The push prompt asks if it is you, you approve, and the intruder is inside within minutes. The numbers back it up. Palo Alto Networks Unit 42 found that roughly ninety percent of successful intrusions over the past year involved hacked identity, almost all of them MFA or auth apps. The people compromised had privileged access, which means they had MFA in place. So what actually works? Surace makes the case for biometric-assured identity, a category Gartner projects growing into a twelve billion dollar market. TokenCore ties access to a fingerprint stored only on your device, the exact domain your account lives on, and physical proximity over a short-range wireless link. Look-alike domains never register, remote relays never get close enough, and the company never holds your biometric. The hardware comes as a ring, a portable, or a node about the size of an AirTag, and it is FIDO2 compatible, so it works with existing single sign-on. Most customers go passwordless once it is running. The reaction Surace hears most often from security leaders is that they can finally sleep at night. This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight GUEST Kevin Surace, Chief Executive Officer, TokenCore LinkedIn: https://www.linkedin.com/in/ksurace/ RESOURCES Learn more about TokenCore: https://www.tokencore.com Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS Kevin Surace, TokenCore, Sean Martin, brand story, brand marketing, marketing podcast, brand spotlight, biometric assured identity, identity security, multi-factor authentication, MFA bypass, phishing resistant authentication, FIDO2, credential theft, passwordless, deepfake, AI security, account takeover, Unit 42, Gartner Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In der heutigen Folge sprechen die Finanzjournalisten Philipp Vetter und Holger Zschäpitz über die Trump-Rallye bei Intel, den Ritterschlag für QuantumScape und eine spektakuläre Hochstufung bei Marvell. Außerdem geht es um QuantumScape, Micron, KLA, Infineon, BMW, Mercedes-Benz, Volkswagen, Schaeffler, Lockheed Martin, Northrop Grumman, L3Harris Technologies, Kroger, Honda, Applied Optoelectronics, SanDisk, Western Digital, Seagate Technology, Celestica, Vertiv, Argan, NextEra Energy, Dominion Energy, Xcel Energy, Capgemini, Cognizant, Infosys, Wipro, EPAM Systems, Globant, Concentrix, BILL Holdings, DXC Technology, Gartner, Robert Half, ManpowerGroup, Coursera, SoundHound AI, Duolingo, VeriSign, Goldman Sachs, Tata Consultancy Services, Microsoft, Amazon, Alphabet, Siemens. Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und - ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

In this episode of Gartner ThinkCast, we dive into what strong leadership really looks like when the path ahead is unclear. From economic disruption to AI-fueled transformation, uncertainty is now a defining feature of the business landscape. Gartner expert Mary Mesaglio returns to offer a succinct and timely playbook. Drawing from conversations with CEOs, CIOs and senior leadership around the globe, Mary shares three practical strategies for leading through volatility, ambiguity and change. Learn why clear communication, hyper-focused priorities and transparent guiding principles are the essential tools every executive and new leader needs today.   You'll learn: Why corporate-speak fails in times of change and what to say instead The 10x10x10 rule for reinforcing priorities with your team How guiding principles offer stability and direction   Dig deeper: See why Gartner is the world authority on AI Try out AskGartner for more AI-powered insights Learn how to create a strategic workforce plan  

What if the biggest problem in marketing isn't your message, your targeting, or your budget? What if it's the map you're using?For more than a century, marketers have relied on funnels, customer journeys, and pipeline stages to explain how people buy.The problem?People don't move in straight lines.In this Sharp Cut, Marc and Vassilis unpack why buying behaviour looks far more like a messy search pattern than a carefully planned journey. Drawing on research from Ehrenberg-Bass, Google, WPP, Oxford, James Hankins, Gartner, Bain, and the LinkedIn B2B Institute, they explore why most consumer decisions are made before shopping begins and why so many B2B deals stall after the buying process has already started.Along the way, they tackle the real purpose of the funnel, the limits of customer journey mapping, the hidden role of buying committees, and why the pipeline may be better at reporting decisions than helping people make them.In this episode:Why the traditional funnel continues to surviveWhat the Consumer Decision Journey got right—and wrongThe surprising finding that 84% of purchases favor brands consumers already lean towardWhy "good enough" beats "best" more often than marketers realizeThe difference between consumer and B2B buying behaviorHow buying committees create friction inside organizationsWhy 40-60% of qualified B2B deals end in no decisionThe pipeline's real purposeWhy probability may be a better model than journeysThe funnel is a useful reporting tool. It just isn't a very good theory of human behaviour.Takeaways:Success in marketing is often misrepresented as a straight line.The consumer decision journey is more complex than traditional models suggest.Buyers often choose brands they are already leaning towards before shopping.The funnel oversimplifies the buying process, leading to ineffective strategies.Fear of making the wrong decision can paralyze B2B buyers.Satisficing is a common behavior where buyers settle for 'good enough'.Mental and physical availability are crucial for influencing buyer decisions.The traditional funnel model is outdated and needs to be rethought.Understanding buyer behavior requires acknowledging the chaos of the decision-making process.Marketers should focus on building frameworks based on real consumer behavior rather than idealized models.Chapters:Chapters00:00 - Introduction02:48 - The Complexity of the Consumer Decision Journey06:06 - The Limitations of Traditional Marketing Models08:49 - Understanding Buyer Behavior and Decision-Making11:59 - Rethinking the Marketing Funnel14:57 - The Role of Fear in B2B Buying Decisions17:53 - Building a Better Marketing Framework

On this episode of Christopher Lochhead: Follow Your Different, we talk about how the consulting and research industry is facing a reckoning. Gartner, once a $42 billion empire built on telling companies which technologies to buy, has shed more than $30 billion in market value. Trading around $155 per share after peaking at $551 in November 2020, Gartner represents something far bigger than one company’s misfortune. It is a warning signal to every knowledge worker and consulting firm that the traditional model of acquiring and reselling existing knowledge is being quietly dismantled by artificial intelligence. The Pirate Street Journal recently broke down this shift through a category design lens, and the conclusions are both uncomfortable and urgent for anyone whose career is built around advice, analysis, or strategic guidance. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   When AI Gives Away What Consultants Used to Sell For decades, consulting firms like Gartner monetized a simple formula: gather knowledge, package it into reports and subscriptions, and charge companies handsomely for access. A $100,000 research subscription felt justified when getting that knowledge required significant time and access. That equation has fundamentally changed. The moment a business leader can ask an AI which CRM platform or security stack to buy and receive a well-reasoned, sourced answer in seconds for free, the traditional research subscription starts looking like a fax machine. As strategy thinker Roger Martin has noted, true strategy represents only about 3% of what large consulting firms actually produce. The remaining 97% is largely benchmarking, gap analysis, and best practices work, exactly the kind of structured, retrospective analysis that AI now handles effortlessly.   The Only Consulting Work AI Cannot Replace What separates truly valuable strategic advice from commoditized knowledge is judgment. Courage. Wisdom. The ability to make a call when the spreadsheet offers no clear answer and the outcome remains genuinely uncertain. These are the qualities that have always driven the most important strategic wins, and they are precisely what AI cannot replicate or monetize anytime soon. Consider how often the best strategic decisions required someone to say “I believe this is the right direction” without proof. Timing a market entry too early, betting on a consumer behavior before it becomes mainstream, or designing an entirely new category rather than competing within an existing one all demand human conviction. The consultants who have consistently done this well rarely stay in advisory roles for long. They move into the arena, become entrepreneurs, or deploy their own capital because genuine foresight commands far greater economics than a consulting retainer.   What This Means for Knowledge Workers and the Consulting Profession Gartner’s market cap decline is not simply a story about one company failing to adapt. It is a broader signal to every knowledge worker that the value of their value has shifted. Technology does not take jobs outright. It relocates where value gets created. The professionals who repackage existing knowledge are seeing that value erode fast. The professionals who can create genuinely new knowledge, new frameworks, new categories, new experiences, are seeing their value rise. This distinction matters enormously for how consultants should think about their own positioning. Firms that continue to offer benchmarking, retrospective market summaries, and structured best practices comparisons are directly competing with AI at a game AI will eventually win. The consultants who build practices around future-oriented, judgment-heavy, courageous strategic work are the ones whose services will remain irreplaceable, and whose market caps, whether literal or metaphorical, will reflect a world that still believes in their future. To hear more from the Pirate Street Journal, download and listen to this episode. You can also read more Pirate Street Journal entries in the Category Pirates newsletter.   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), LinkedIn, and subscribe on Apple Podcast / Spotify!  

Dr. John Gartner returns to The Daily Beast Podcast to mark Donald Trump's 80th birthday with a deeply provocative conversation about aging, cognitive decline, power, and the presidency. Speaking with Joanna Coles, Gartner argues that the public is witnessing something far more serious than normal aging, laying out his assessment of Trump's behavior, speech patterns, late-night social media activity, health concerns, and decision-making as global crises escalate. The discussion explores dementia, malignant narcissism, stress, sleep deprivation, executive power, and why millions of Americans remain drawn to Trump despite mounting concerns from critics. From White House medical visits and cognitive testing to the psychology of leadership and the dangers of unchecked authority, this is an intense and unsettling examination of one of the most consequential figures in modern politics. Visit https://ffrf.us/BEAST or text "BEAST" to 511511 to join or learn more. #ad If you're ever injured in an accident, you can check out Morgan & Morgan. You can start your claim in just a click without having to leave your couch: https://ForThePeople.com/DAILYBEAST #ad Learn more about your ad choices. Visit podcastchoices.com/adchoices

Every organization relies on secure digital connections across suppliers, partners, and platforms. Yet many of the technologies that protect those connections were built for a world before quantum computing.  While practical quantum capabilities may still seem years away, the risks associated with them are already prompting concern, particularly as encrypted data collected today could potentially be decrypted in the future. For supply chain leaders, that creates a unique challenge: preparing for a technological shift that is still emerging while protecting information that remains valuable far into the future. In this episode of Supply Chain Now, hosts Scott W. Luton and Karin Bursa sit down with Akhilesh Agarwal, President of P2P Solutions and Technology at apexanalytix, and William McNeill, Vice President of Market Intelligence, for a conversation on what the quantum era could mean for supply chains. Together, they unpack the growing conversation around quantum computing, the implications of "harvest now, decrypt later" strategies, and why supply chain ecosystems may be particularly vulnerable due to the vast amounts of supplier, financial, and contractual data that move across them every day. As digital transformation continues to accelerate, they discuss why understanding emerging risks today may be just as important as preparing for the opportunities quantum technologies could unlock tomorrow. Jump into the conversation: (00:00) Intro (00:42) Quantum risks supply chain leaders must know (02:13) Meet apexanalytix quantum risk experts (03:35) Space exploration lessons for innovation (07:03) Apexanalytix protects supplier data at scale (10:16) Why they wrote The Quantum Paradox (10:46) Harvest now decrypt later threat (15:46) Where to start with quantum readiness (21:38) Four major supply chain impacts (24:39) Supplier risk extends beyond tier one (26:27) Why supplier collaboration matters (27:42) Building a three-to-five-year quantum plan (33:20) Audit technology stack and supplier data (48:47) White paper resources and next steps (51:37) Gartner recognition and key takeaway (54:48) Act now on quantum readiness   Additional Links & Resources: Connect with Akhilesh Agarwal: https://www.linkedin.com/in/akhilesh78/ Connect with William McNeill: https://www.linkedin.com/in/wimcneill/ Learn more about apexanalytix: https://www.apexanalytix.com/ Learn more about Qbiton: https://www.qbiton.com/ Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- Amazon Supply Chain 101: Enabling efficiency and growth for businesses everywhere–and everywhere they sell: https://bit.ly/49r8N7D WEBINAR- The Expanding Role of Supply Chain Optimization Teams in Driving Business Impact: https://bit.ly/3PHRAAf WEBINAR- AI that moves at velocity: Cut through latency with agentic workflows: https://bit.ly/4x4626t This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/leader-briefing-quantum-risk-to-practical-action-1596 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Agentic AI has taken off in software engineering, but most CIOs still cannot make agents work in everyday knowledge work in the enterprise. Aaron Levie, co-founder and CEO of Box, explains why that gap exists and what enterprises must change to close it. Drawing on what Box sees across its enterprise customer base, including 68% of the Fortune 500, Levie covers data access, verification, budgets, architecture, and the new roles required to realize real value from enterprise AI agents.======This episode is brought to you by Gartner IT Symposium/Xpo™. Ready to scale agentic AI from pilot to production? Join top CIOs and IT executives at Gartner IT Symposium/Xpo, taking place this October 19th through the 22nd in Orlando, Florida. Over 300 Gartner analyst-led sessions will cover top priorities shaping IT—from AI value, governance, and cybersecurity to cost optimization, IT operating models, and beyond. Get practical, actionable insights—and connect with peers tackling the same challenges you are.Secure your spot today at gartner.com/us/symposium.======YOU'LL DISCOVER✅ Why agentic coding raced ahead while knowledge work agents lag, across three properties: text based work, verifiability, and data access✅ The "AI psychosis" pattern Levie says makes CEOs overestimate agents, and why distance from the last mile of work distorts executive judgment✅ Why you should retry a failed AI project roughly every six months as frontier models keep improving✅ The forward-deployed engineer role, internal and external, and why it becomes essential to enterprise AI adoption✅ Why your IT and data architecture, not the model you pick, often determines what you actually get from agents✅ The end of venture-subsidized tokens, and why the line of business, not just IT, now has to own the AI budget✅ Why Levie says you should not vibe-code core systems of record like ERP or CRM, and where agent value actually accrues✅ Value maxing versus token maxing: how to judge AI ROI and avoid a surprise overnight token bill⏱️ TIMESTAMPS0:00 The promise of agentic coding5:11 Why knowledge work resists agents8:52 The AI psychosis trap for CEOs14:57 Be ambitious, then retry in six months17:25 The rise of the forward-deployed engineer21:09 Frontier models need your data architecture27:14 The end of subsidized tokens31:18 How knowledge workers should prepare36:37 Where software value shifts39:03 Reimagining workflows around abundance43:03 Value maxing versus token maxing49:46 Advice for CIOs

Every organization is told they need context for AI to work. Almost none of them know where to start. The answer has been sitting in their metadata all along — but most CDOs haven't connected those dots yet.

The Anthropic IPO is officially in motion. IPO season is back, and companies like Anthropic and SpaceX are leading the race to go public. Anthropic just filed confidentially with the SEC at nearly a trillion dollar valuation, and Claude has been dominating the AI conversation all year. Almost at the same time, two of their biggest customers, Microsoft and Uber, are quietly pulling back on how much they're actually spending on AI. That tension is what this episode is all about.Here's what we're sippin on:What an SEC filing actually means, and why the timing of Anthropic's IPO matters more than the numberWhy Microsoft and Uber are cutting AI spend even though the tools are workingWhat the Gartner forecast on AI budgets tells us about where this whole thing is headed, and what it means for anyone investing in AI right nowIf you've been watching the AI market and wondering what any of this means for you on the ground, this one is for you.A SpaceX deep dive is coming soon, so stay subscribed for that one.Thank you for listening, and as always... enjoy your first sip!Click here to watch the full episode on YouTubeWhat did you think about this episode?--------------------------------JOIN THE NEWSLETTER: Stay sharp on business, career, and life. First Sip Weekly delivers honest lessons, tips, and real conversations from the show to your inbox every week. https://firstsipweekly.beehiiv.com/CONNECT WITH DEKIMBE: YouTubeInstagram  Facebook LinkedInFOLLOW THE PODCAST:InstagramApple PodcastsSpotifyFor podcast sponsorship & advertising opportunities please contact: firstsippod@gmail.com

AI is delivering pockets of productivity, but far less business value than expected. In this episode of Gartner ThinkCast, Distinguished VP Analyst Fran Karamouzis explores why so much AI ROI remains stuck inside organizations, never reaching the bottom line. While many leaders expect gains in individual productivity to translate directly into financial outcomes, legacy processes, siloed structures and outdated operating models often prevent that value from scaling. In a preview of a recent standout webinar, you'll hear what it really takes to unlock measurable impact — from rethinking how work flows across teams, to redesigning end‑to‑end processes, and leading the organizational change required to make AI stick.   You'll learn: Why productivity gains alone don't guarantee financial returns Where AI value gets trapped inside workflows and operating models How to redesign work around end‑to‑end outcomes, not individual tasks What it takes to lead organizational change and consistently convert AI into ROI   Dig deeper: Register to watch the full "Value is Trapped" webinar Learn how to prove quantifiable value from AI See why Gartner is the world authority on AI  

In this week's Omni Talk Retail Fast Five, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Quorso, and Veloq, Chris Walton and special guest Chap Achen, Senior Director, Analyst for Digital Commerce and Supply Chain at Gartner, discussed: • Walmart partnering with Subway to deliver made-to-order restaurant meals alongside groceries and household essentials through its Express Delivery service, and why Chris sees it as another example of Walmart executing a cohesive long-term growth strategy built around convenience, loyalty, and retail media expansion: https://www.wsj.com/business/retail/now-you-can-get-a-subway-sandwich-with-your-walmart-delivery-5a003b24 • Amazon expanding Fresh Same-Day Delivery in London, allowing customers to add groceries to the same basket as millions of other products, and whether this signals the future of grocery retail as Amazon continues playing the long game in global commerce: https://www.aboutamazon.com/news/retail/amazon-grocery-same-day-delivery-uk • New York passing legislation aimed at limiting so-called surveillance pricing, and whether regulating AI-driven personalized pricing strikes the right balance between consumer protection and innovation: https://chainstoreage.com/news-briefs/2026-06-05?article=new-york-legislators-pass-bill-curb-personalized-pricing • Amazon rolling out new AI-powered visual search capabilities, including real-time image generation, curated style collages, and visual suggestions, and whether these tools could strengthen Amazon's position as the product search super app: https://chainstoreage.com/news-briefs/2026-06-03?article=amazon-expands-visual-search-capabilities-shopping-app • A startup called The Mall launching an invite-only shopping app designed to aggregate products from more than 10,000 brands into one personalized feed, and whether it represents the future of discovery or another well-intentioned idea destined to be overtaken by larger platforms: https://techcrunch.com/2026/06/01/a-new-app-the-mall-is-building-a-universal-feed-for-online-shopping/?utm_source=Sailthru&utm_medium=email&utm_campaign=Issue:%202026-06-04%20Retail%20Dive:%20Tech%20%5Bissue:85662%5D&utm_term=Retail%20Dive:%20Tech And Duvo CEO Tomáš Čupr also stopped by for 5 Insightful Minutes to discuss why retailers need to stop waiting for perfect data, focus on solving their messiest problems first, and rethink how they approach AI implementation across their organizations. There's all that, plus Barcelona architecture, Vienna bucket lists, Vikings quarterback predictions, European retail favorites, Fashionology Summit takeaways, and why Gen Z may be more comfortable shopping through image-first and intent-driven experiences than retailers realize. P.S. Be sure to check out all our other podcasts from the past week here, too: https://omnitalk.blog/category/podcast/ P.P.S. Also be sure to check out our podcast rankings on Feedspot: https://podcasts.feedspot.com/retail_podcasts/ Music by hooksounds.com

Welcome to this week's episode of the PEBCAK Podcast!  We've got four amazing stories this week so sit back, relax, and keep being awesome!  Be sure to stick around for our Dad Joke of the Week. (DJOW) Follow us on Instagram @pebcakpodcast   Please share this podcast with someone you know!  It helps us grow the podcast and we really appreciate it!   Simple 6 signup link https://simple6.co/r/CFUR98   Meta's AI support bot was weaponized to hijack Instagram accounts, including the Obama White House page, by tricking it into adding attacker-controlled emails during password resets. https://x.com/zachxbt/status/2061251183675949365?s=46 https://www.bleepingcomputer.com/news/security/instagram-users-locked-out-after-meta-ai-abused-to-steal-accounts/ https://krebsonsecurity.com/2026/06/hackers-used-metas-ai-support-bot-to-seize-instagram-accounts/ Meta's AI customer support bot was socially engineered into resetting account passwords for targets, exposing the new attack surface that AI-powered support creates — and enabling hijacks that MFA would have blocked.   A Google security engineer was arrested and charged with insider trading after using confidential "Year in Search" data to pocket $1.2M on the prediction market Polymarket. https://www.bleepingcomputer.com/news/security/us-charges-google-security-engineer-with-polymarket-insider-trading/ Operating under the alias "AlphaRaccoon," Michele Spagnuolo went 22-for-23 on Google search trend bets using nonpublic internal data — marking the second high-profile Polymarket insider trading arrest this year, following a Special Forces soldier who bet on the Maduro raid he was part of.   New data shows 55% of companies regret their AI-driven layoffs, with half already quietly reversing them — the so-called "Layoff Boomerang." https://medium.com/@curiouser.ai/the-great-ai-layoff-boomerang-68e38c88fa7d Forrester, Gartner, and PwC data confirm the "replace humans with AI" thesis is failing: companies that cut aggressively are scrambling to rehire at higher cost, while firms that augmented their workers are seeing 3x revenue growth per employee.   Google's Verily is seeking EPA approval to release up to 64 million Wolbachia-infected male mosquitoes in Florida and California to crash disease-carrying mosquito populations. https://x.com/bulltheoryio/status/2060810332831129782?s=46 https://www.usatoday.com/story/graphics/2026/06/04/google-mosquito-release-florida-california/90384899007/ The Debug Project's sterile male mosquitoes mate with wild females but produce no viable eggs — a technique that's already shown 80–90% suppression of Aedes aegypti in prior trials and has the internet predictably losing its mind.   Dad Joke of the Week (DJOW)   Find the hosts on LinkedIn: Chris - https://www.linkedin.com/in/chlouie/ Glenn - https://www.linkedin.com/in/glennmedina/ Raja - https://www.linkedin.com/in/rajazkhalid/

Rabbi Nachman on wealth with Rabbi Baruch Gartner.

Supply chain is evolving rapidly and AI is changing how decisions are made. In this episode of Supply Chain Now, Scott Luton, Karin Bursa, and Jake Barr talk with Mike Griswold, Vice President Analyst at Gartner, about the key insights from the Gartner Supply Chain Symposium. They explore how supply chain leaders can leverage AI to improve operational efficiency, redesign workflows, and enhance decision-making to remain competitive in the coming years. They discuss the importance of cross-functional initiatives, storytelling for CSCOs, and understanding where technology fits as an enabler rather than the solution. The episode breaks down strategies for shifting supply chain operations toward autonomy, including optimizing decision velocity, redesigning critical workflows, and applying AI thoughtfully to reduce manual handoffs and eliminate inefficiencies. Listeners gain insight into how to balance growth, cost, risk, and talent, and why CSCOs need to communicate their strategic value effectively within the C-suite. The conversation also highlights real-world examples of organizations leveraging technology to enable their workforce, not replace it, and emphasizes the potential of agentic AI in planning and disruption management. Together, the panel explores why focusing on decision stacks and workflow design is critical for AI readiness, how to prioritize high-impact areas for operational improvements, and why relying solely on technology without a defined problem can lead to missed opportunities. They provide guidance for supply chain professionals on preparing for the future of planning, autonomous operations, and AI-enabled decision-making, illustrating the massive potential for efficiency gains and strategic advantage over the next several years.   Jump into the conversation: (00:00) Intro (04:07) AI adoption challenges and budget concerns (06:41) Avoiding siloed implementation of AI (08:56) CSCO influence and strategic storytelling (10:24) Autonomy as the new operating model (15:45) Technology as an enabler, not a driver (20:00) Decision stacks and workflow redesign (27:42) Planning summit highlights and upcoming events (34:28) Agentic AI market potential by 2030   Additional Links & Resources: Connect with Mike Griswold: https://www.linkedin.com/in/mike-griswold-6a68922/ Connect with Karin Bursa: https://www.linkedin.com/in/karinbursa/ Connect with Jake Barr: https://www.linkedin.com/in/jake-barr-3883501/ Learn more about Gartner: https://www.gartner.com/en Learn more about our hosts: https://supplychainnow.com/about Learn more about Supply Chain Now: https://supplychainnow.com Watch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-now Subscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/join Work with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/ WEBINAR- From AI Pilots to Performance: How Supply Chain Leaders Are Scaling Agentic AI: https://bit.ly/49hCqIq WEBINAR- Amazon Supply Chain 101: Enabling efficiency and growth for businesses everywhere–and everywhere they sell: https://bit.ly/49r8N7D WEBINAR- The Expanding Role of Supply Chain Optimization Teams in Driving Business Impact: https://bit.ly/3PHRAAf WEBINAR- AI that moves at velocity: Cut through latency with agentic workflows: https://bit.ly/4x4626t Subscribe to our Newsletter, With That Said: https://www.linkedin.com/newsletters/with-that-said-6966779254495723520/ This episode was hosted by Scott Luton and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at:  https://supplychainnow.com/key-takeaways-gartner-supply-chain-symposium-2026-1591 The content in this episode, including all audio, videos, visuals, and graphics, is the property of Supply Chain Now and is protected by copyright law. Unauthorized use, reproduction, distribution, modification, or re-uploading of this content in any form is strictly prohibited without explicit written permission from Supply Chain Now.For licensing inquiries or permissions, please contact us at production@supplychainnow.com© 2026 Supply Chain Now. All rights reserved. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode Overview Michael Levitt sits down with executive advisor Chris March to discuss one of the most common yet underaddressed challenges facing founder-led businesses: the founder themselves becoming the primary obstacle to growth. Chris works with organizations generating between $5 million and $20 million in revenue, helping founders identify structural dysfunction, reclaim their time, and build organizations that can operate independently. Key Topics Covered Founder Gravity Chris introduces the concept of "founder gravity," the organizational pull that keeps all decisions, approvals, and responsibilities flowing back to the founder regardless of company size. He explains that structural problems cannot be coached away, and that solving them requires an intentional redesign of how the organization is built. The Delegation Trap A critical distinction emerges between transferring tasks and transferring decision-making authority. Many founders delegate responsibilities without ever relinquishing the sign-off, which trains their teams to wait for approval rather than exercise independent judgment. True delegation requires trusting people with the authority to make decisions, not just the work itself. AI as an Accelerant, Not a Silver Bullet Both Michael and Chris address the widespread rush to adopt AI without first establishing the operational fundamentals it requires. Without documented SOPs and clearly defined workflows, AI cannot fill the gaps. Chris references a Gartner projection that up to 40 to 90 percent of AI projects may be canceled by 2027 due to this misalignment, noting that organizations are often simply accelerating broken systems rather than fixing them. The Business Continuity Test Chris offers a practical diagnostic: if a founder cannot step away from the business for two to three weeks without it breaking down, they do not have a business. They have an expensive job. He uses this exercise with clients as a structural audit to identify exactly where the organization is fragile. Time as a Strategic Asset Chris closes with his single most impactful recommendation: audit how you spend your time. Founders who operate with unstructured, reactive calendars are commonly leaking 10 to 20 hours per week. Time is the one asset that cannot be recovered, and managing it with intention is foundational to everything else. Actionable Takeaways Conduct an honest organizational design review to determine whether your structure still fits the size of your business. Distinguish between delegating tasks and delegating decision-making authority, and make the latter a priority. Document your SOPs and institutional knowledge before introducing any AI or automation tools. Schedule a planned absence and observe what breaks. Use the results as a structural roadmap. Audit your calendar. Reactive scheduling is one of the most common and costly forms of operational drag. About Chris March Chris March is an executive advisor specializing in founder-led organizations. He helps business owners scale past the point where they themselves are the constraint, focusing on organizational structure, operational design, and leadership development. LinkedIn: Active 2 to 3 times per week with insights on founder leadership and organizational dynamics Website: chrismarchadvisory.com LinkedIn:  https://www.linkedin.com/in/christopherrmarch/ Connect with Michael Levitt Website: breakfastleadership.com "If you can't step away from your business for two to three weeks, you don't have a business. You have a very expensive job." -- Chris March

In this special episode of The Daily Beast Podcast, Joanna Coles speaks with Dr. John Gartner and Dr. Bruce Davidson about the alarming signs they believe point to Donald Trump's physical and cognitive decline, from garbled speeches and late-night posting frenzies to what Davidson argues are visible symptoms of a past stroke. The two doctors break down Trump's increasingly erratic public behavior, explosive decision-making, obsession with personal glorification, and troubling verbal confabulations, while warning about the risks of unchecked power in the hands of a president they believe is rapidly deteriorating. Drawing on decades of medical experience and years of closely tracking Trump's behavior, Gartner and Davidson deliver a chilling analysis of the man currently commanding America's military and political future. Sign up for your one-dollar-per-month trial today at https://shopify.com/dailybeast #ad Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. John Gartner returns to The Daily Beast Podcast to deliver an urgent, chilling analysis of Donald Trump's rapidly deteriorating clinical condition as he approaches his 80th birthday. Moving far beyond typical signs of aging, Dr. Gartner details to Daily Beast executive editor Hugh Dougherty the alarming behavioral symptoms pointing toward frontotemporal dementia—including a complete loss of empathy, dangerous disinhibition, and increasingly disorganized thought processes. Dr. Gartner unpacks the psychology behind Trump's late-night postings, his shocking new delusions of grandeur, and a calculated effort to "groom" the American public for an unthinkable nuclear conflict. Learn more about your ad choices. Visit podcastchoices.com/adchoices