Podcasts about Sap

Welcome to the What's Next! Podcast with Tiffani Bova. As we approach the end of the year, I'm pausing to look back and celebrate all of the wonderful guests that I had the honor of speaking to on the show. And based on your feedback, many of these guests resonated with you as well so we're giving you another chance to revisit the stories, insights, and lessons you loved most in 2025!   This week, I'm excited to highlight an episode with Steve Lucas.   Steve is a seasoned executive with nearly 30 years of experience in enterprise software leadership. As the CEO of Boomi, he spearheads efforts to connect the world through a transformative technology platform. Previously, he was the CEO of Marketo and iCIMS. At Marketo, he transformed the company's sales, marketing, and product strategies, culminating in its 2018 acquisition by Adobe. At iCIMS, he introduced the Talent Cloud, enabling 40% of the Fortune 100 to hire millions of employees annually. Earlier roles included senior executive positions at Adobe, SAP, Salesforce, and BusinessObjects.      THIS EPISODE IS PERFECT FOR…business leaders navigating digital transformation, especially those eager to understand how AI will reshape organizations.  TODAY'S MAIN MESSAGE…it's easy to get swept up in the hype around AI, but what does transformation actually look like in practice? Steve explores the dramatic shift AI is bringing to enterprise software, from the rise of AI agents to the decline of traditional user interfaces. He shares how businesses can prepare for an agentic future where success will depend on collaboration between humans and AI.  KEY TAKEAWAYS:  - Human resistance to change is often about trust and not capability  - AI won't replace humans but augment them (if we allow it)  - Leaders should focus less on tools and more on the business outcomes they unlock    WHAT I LOVE MOST… Steve's reminder that in a world full of hype and disruption, trust is still the currency that matters most. No matter how powerful AI becomes, if people don't trust it—or the companies using it—it won't deliver value.    Running Time: 28:44      Subscribe on iTunes       Find Tiffani Online:  LinkedIn  Facebook  X      Find Steve Online:  LinkedIn    Steve's Book:  Digital Impact: The Human Element of AI-Driven Transformation 

This week on ASUG Talks, I am joined by several of my colleagues, who worked hard this past year to develop content aimed at helping ASUG members make the most of their SAP technology investments. We cover the year's best insights, from conferences to podcasts, and which insights are the most helpful and critical. Key Resource: 2025 ASUG Pulse of the SAP Customer ResearchASUG Executive ExchangeFirst Five newsletter sign-upASUG Talks Roundtable: Inside ASUG's SAP S/4HANA Adoption ResearchSAP's Irfan Khan on SAP Business Data Cloud's Impact and Future DevelopmentMigrate First, Transform Later: J. J. Keller's Strategic Path to SAP S/4HANAHydro One's Transformation Journey and Key Takeaways for Canadian UtilitiesUnlocking Value: How John Deere Successfully Migrated from SAP ECC to SAP S/4HANAASUG Collective

Willkommen zu einer neuen Folge von Insurance Monday mit Julius Kretz, Herbert und einem besonderen Gast: Katharina Welle, Gründerin und Managing Partnerin von Welle Partner. In dieser Episode dreht sich alles um die großen IT-Transformationsprojekte in der Versicherungswelt – jene Herausforderungen, bei denen nicht nur technisches Know-how, sondern auch emotionale Intelligenz und Begeisterung gefragt sind.Gemeinsam tauchen unsere Hosts in die Fragestellung ein, wie komplexe Projekte erfolgreich geplant und umgesetzt werden können. Katharina Welle teilt ihre persönliche Reise von IBM bis zur eigenen Boutique-Beratung und verrät, wie ihr Insure Migrate Framework Versicherern hilft, IT-Migrationen effizient und transparent zu steuern. Neben fachlicher Führung stehen Werte wie Kundenfokus, Exzellenz und Authentizität im Mittelpunkt – und es bleibt auch Platz für Themen wie Motivation, Wertschätzung im Team und die Rolle von KI im Transformationsprozess.Freut euch auf spannende Einblicke, ehrliche Erfolgsfaktoren und ganz pragmatische Tipps rund um die IT-Transformation – mit einer Extraportion Leidenschaft und Service-Denke, die weit über das klassische Projektmanagement hinausgeht. Viel Spaß beim Zuhören!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

Wann hast du das letzte Mal einfach aus Neugier gehandelt, ohne Ziel, ohne Plan, einfach aus der Freude heraus? In dieser Folge der Flowgrade Show spreche ich mit Christian Wehner darüber, warum wir in einer Welt voller To-do-Listen und KPI-getriebener Selbstoptimierung oft genau das vergessen, was uns als Kind selbstverständlich war: spielen, scheitern, lernen und wieder aufstehen.Christian ist Autor des inspirierenden Buchs „Alles, was du im Leben wissen musst, hast du schon im Kindergarten gelernt“. Seine Mission: Menschen helfen, wieder mit ihrer kreativen Intuition in Kontakt zu kommen, jenseits von Perfektionismus, Erwartungsdruck und Selbstoptimierungswahn.Wir sprechen über echte Selbstverbindung, über bewusste Unplanbarkeit als kreative Superkraft und darüber, wie wir mit mehr Leichtigkeit, Spielfreude und radikaler Ehrlichkeit unser Leben neu gestalten können.Wenn du gerade auf der Suche nach mehr Tiefe, Klarheit und Menschlichkeit bist (in einer zunehmend künstlichen Welt) dann ist diese Folge wie für dich gemacht.Viel Spaß beim Zuhören!Go for Flow

Die Woche der Mega-Funding-Runden: Databricks wird mit 134 Milliarden bewertet, Waymo peilt 100 Milliarden an, und OpenAI soll bald 830 Milliarden wert sein. Amazon will 10 Milliarden in OpenAI investieren. Coinbase launcht Prediction Markets und tokenisierte Aktien. Revolut plant 3,5 Milliarden Profit bei 40% Marge – profitabler als die meisten Banken. Lovable aus Schweden rast auf 6,6 Milliarden. Das US-Handelsministerium droht der EU mit Vergeltung wegen Tech-Regulierung und nennt explizit SAP, Siemens und DHL. Der TikTok-Deal soll im Januar kommen – Oracle, Silver Lake und Abu Dhabi übernehmen 45%. Ein Andreessen-Startup baut synthetische KI-Influencer mit Phone Farms. Instacart steht wegen KI-Preismanipulation unter FTC-Beschuss. Yann LeCun gründet Ami Labs mit 500 Millionen Seed. Trade Republic wird mit 12,5 Milliarden bewertet. Trump Media fusioniert mit einer Fusionsenergie-Firma. Wann kommt es zur großen Doppelgänger Cola Blindverkostung? Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:00:49) Coinbase: Aktien & Prediction Markets (00:08:14) Databricks 134 Mrd. Bewertung (00:13:39) Revolut: 40% Profitmarge (00:19:26) Waymo 100 Mrd. Bewertung (00:36:15) Oscars wechseln zu YouTube (00:37:22) Sam Altman: KI wie Zahnpasta? (00:46:16) Lovable 6,6 Mrd. Bewertung (00:49:53) Amazon investiert 10 Mrd. in OpenAI (00:53:48) OpenAI 830 Mrd. Bewertung (00:56:55) Trump bedroht EU wegen Tech-Regulierung (01:00:56) Andreessen-Startup baut Fake-Influencer (01:08:13) Instacart KI-Preismanipulation (01:12:25) Yann LeCun gründet Ami Labs (01:14:50) TikTok-Deal im Januar (01:18:47) Trump Media fusioniert mit Fusionsfirma (01:24:14) Trade Republic 12,5 Mrd. Shownotes Coinbase Prognosemärkte Aktienhandel Stablecoins - cnbc.com Databricks sammelt Kapital bei 134-Milliarden-Bewertung - wsj.com Revolut strebt 2026 $9B Umsatz und $3.5B Gewinn an. - connectingthedotsinfin.tech Waymo plant Finanzierung bei 100-Milliarden-Bewertung - bloomberg.com Oscars wechseln 2029 von ABC zu YouTube - hollywoodreporter.com OpenAI ChatGPT verbessert Bilderstellung - bloomberg.com OpenAI-Gespräche: 10 Milliarden von Amazon für KI-Chips - theinformation.com OpenAI neue Finanzierungsrunde könnte Startup mit bis zu 83 Milliarden bewerten - wsj.com Start-up Lovable sammelt 330 Millionen ein - nytimes.com EU-Strafen für US-Tech-Unternehmen - nytimes.com Hack enthüllt a16z-unterstützte Telefonfarm, die TikTok mit KI-Influencern flutet - 404media.co FTC untersucht Instacarts KI-Preistool - reuters.com Instacart FTC Vergleich Täuschende Abrechnung - cnbc.com Seb Johnson auf X: "Metas ehemaliger Chief AI Officer sammelt €500 Mio. ein. - x.com TikTok schließt Verkauf seiner US-Einheit nach jahrelanger Saga ab. - axios.com Trump Media - ft.com Es wird kein Armut geben, universelles hohes Einkommen. - x.com Trade Republic: Zwei reiche europäische Familien beteiligen sich am Milliardendeal - manager-magazin.de Phishing-Versuch bei Outfittery: Datenleck beim Bekleidungshändler? - heise.de

Ponemos el foco en valores como SAP, Nike, Puma, Adidas, Zalando y Kering. Con Antonio Aspas, socio de Buy & Hold Gestión de Activos.

In episode 272 of our SAP on Azure video podcast we look back at 2025. This will be our last episode of the 2025, and like in all the years since 2020, we want to wrap up the year with our colleague Jürgen Thomas.Find all the links mentioned here: https://www.saponazurepodcast.de/episode272Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #WrapUp2025

Ein bewegtes 2025 neigt sich dem Ende zu, das neue Jahr wirft bereits Schatten voraus und es ist absehbar, dass 2026 nicht weniger ereignisreich sein wird als das Vorjahr. Zum Jahresabschluss werfen Sabine Reifenberger und Franz Công Bùi einen kurzen Blick auf die Themen, die die Finanzmärkte in den zurückliegenden zwölf Monaten auf Trab gehalten haben, und nehmen einige Ereignisse ins Visier, die zu Beginn des kommenden Jahres wichtig werden.

Unternehmen werden vorsichtiger bei der Erweiterung von SAP, es gibt ein deutliches Streben zum Clean Core. „Endlich!“ dürfte es aus Walldorf rufen hören. Wurden auf DSAG-Jahreskongress und TechED die richtigen Worte gefunden oder ist vielleicht ein Rating-System zur Berechnung der technischen Schuld der Auslöser?

In a world obsessed with speed, optimization, certainty, and AI-driven answers, this episode of Gratitude Through Hard Times offers a necessary pause. Chris Schembra sits down with Eric Stine, CEO of Sitecore, for a deeply human conversation about leadership, belonging, gratitude, and the courage to say yes before you feel ready. This is not a tactical episode about growth metrics or technology stacks—it's an exploration of what it means to lead, live, and connect in a time when instinct is being outsourced and humanity is at risk of being optimized away.Eric reflects on a 25-year career across some of the world's most influential enterprise technology companies, but reframes success through a different lens. Rather than crediting restraint or perfection, he points to saying yes as the defining strategy of his life, yes to unfamiliar roles, yes to reinvention, yes to creativity, fatherhood, philanthropy, and Broadway. Along the way, he opens up about imposter syndrome, those quiet moments of doubt that surface even at the highest levels of leadership, and why authenticity—not certainty—is what ultimately creates trust and psychological safety for teams.The conversation reaches back to Eric's eighth-grade years, when he felt like an outsider searching for his people. Theater became the place where he learned that difference wasn't something to hide, but something to bring forward, a lesson that continues to shape how he builds culture today. That theme of belonging becomes especially resonant in today's age of fragmentation and loneliness, where many people feel disconnected not because they lack opportunity, but because they lack spaces where they can show up fully as themselves.Midway through the episode, Eric answers the signature gratitude question, offering heartfelt thanks to his father, Mark, whose belief in living authentically influenced everything from Eric's leadership philosophy to a Tony Award win on Father's Day. The moment grounds the conversation in gratitude, not as sentiment, but as a force that shapes identity, values, and legacy across generations.This episode is especially important now because it confronts a growing cultural tension: while AI can deliver answers at unprecedented speed, it cannot deliver wisdom, belonging, or meaning. Eric draws a clear distinction between systems of record and systems of engagement, arguing that the future belongs to leaders and organizations that pair data with instinct, scale with empathy, and efficiency with humanity. In an era where people are burning out not just from work, but from hiding who they are, this conversation offers a different model, one rooted in community, peer-driven recognition, and shared accountability rather than control.Ultimately, The Power of Saying Yes is a reminder that culture cannot be engineered from the top down and growth cannot be achieved through optimization alone. Culture comes from community. Belonging comes from permission. And the most meaningful paths in life are rarely the safest ones. This episode invites listeners to slow down, embrace impermanence, and choose the more interesting path, not because it's easy, but because it's human.10 Key TakeawaysSaying yes creates momentum.Progress, growth, and meaning often come from leaning in before you feel ready—not from waiting for certainty. Authenticity is a leadership advantage, not a liability.When leaders model vulnerability, they unlock psychological safety and better performance across teams. Imposter syndrome doesn't disappear—it becomes a compass.Doubt is often a signal that you're stretching into something meaningful. Finding “your people” changes everything.Belonging fuels confidence, creativity, and resilience—whether in theater, business, or family. Gratitude is a strategic tool, not a soft one.Recognizing people for their impact on others builds trust, loyalty, and culture at scale. Culture cannot be built top-down.Leaders can only create the conditions; community does the building. AI needs humans in the loop.Data delivers insight, but instinct and empathy deliver relevance. Impermanence creates meaning.Moments matter more when we know they won't last—whether on stage, at work, or around the dinner table. Accountability is empowering when framed as ownership.We don't work in isolation—we work in ecosystems where shared responsibility drives excellence. The best life is an AND life, not an OR life.Passion and profit. Speed and care. Technology and humanity. Both can be true.Eric Stine BioEric Stine is the Chief Executive Officer of Sitecore, driving the company's vision and strategy to unlock business value for clients by empowering them to create compelling digital experiences. Eric was previously Chief Operating Officer, where he led all customer-facing functions.Before Sitecore, Eric was Chief Executive Officer of Elemica. Previously, he was Chief Commercial Officer of Skillsoft and Chief Revenue Officer of Qualtrics. Eric has also held executive roles at companies such as SAP, Ciber, and Blackboard.Eric earned a law degree at Boston University School of Law and a Bachelor of Arts at Northwestern University, where he and his husband are the founders of the Eric and Neil Stine-Markman Scholarships. They are the first permanent endowments at either institution directing funds toward LGBTQ+ students.He is based near New York City.

Closed On Mondays Podcast Season 4:Welcome to Season 4 of Closed On Mondays!Episode 11: Quick TriPIn this episode of Closed on Mondays, I take you on a Quick TriP through the last year—recapping my SAP project journey, the lessons learned, and the growth that came with staying committed to my career. I also open up about stepping back from trading to focus fully on professional development, why that pause was necessary, and what it taught me about patience and timing. Now, with clarity and balance, I'm back active in trading—approaching it with a sharper mindset, refined strategy, and a stronger foundation. This episode is about seasons, focus, and knowing when to pivot so you can move forward with purpose.TRUST THE PROCESSRaw Content Go Check Out the Merch!!!!https://linktr.ee/monskeltonIf you liked the video, hit like and subscribe for more!Thanks for watching!Hosted by: Mon Skelton★☆★ SUBSCRIBE TO ME ON YOUTUBE: ★☆★★☆★ Mon Skelton Online ★☆★Hosted by: Mon Skelton★ FB Profile: https://www.facebook.com/mon.skelton★ https://www.tiktok.com/@monskelton★ Twitter: https://twitter.com/monskelton★ Instagram: http://instagram.com/monskelton★ TIKTOK:  https://www.tiktok.com/@monskelton/★ YouTube: https://youtube.com/@monskelton?si=5WG7AjDi1o-crcCd

Agentforce is everywhere and everything but in speaking to many ISVs, they are still wondering when is the right time to lean into AI with more than just a story. Where in the hype cycle are we is something I wonder about a lot. So I set out to find an ISV that is actually succeeding in the Agentforce world and that journey led me to Igor Stosic, CEO of Quadrix Soft who make Goat Email on the AppExchange, as my next guest on How We Got There. They are actually selling the first Agentforce use cases for customers, which has to be making AEs covering those accounts VERY happy. Igor is based out of Serbia so we touch on the geographical benefits and challenges around being an ISV out of Europe. They've found a lot of success driving leads from the AppExchange from a gtm perspective. We touch on what has been working and mistakes made along the way, sharing transparent feedback about how to build an app that goes wide so you can know what works for customers and lean into those items.But then we dove into the main topic of Agentforce. We touched on various concepts like how they came up with the Agentforce use case, how they monetize the Agentforce element, and much more. A specific example a use case where they use Agentforce is variability of tone based on the location of the customer that you are interacting with - sending an email to someone in the US looks different from sending an email to someone in Germany.If you are curious about Agentforce, this episode is for you. This episode is brought to you by Tequity Advisors . Tequity Advisors is a global sell-side M&A advisory firm with core expertise in SaaS and ISVs, Salesforce, ServiceNow, SAP, Microsoft, all things Data and AI, and the hyper scaler MSP cloud ecosystems with a focus on the Salesforce ecosystem and beyond! #salesforce #isv #gtm #salesforcepartners #appexchange

Have you ever given thought to the possibility that the suppliers of your core business technology, brands like Microsoft, Oracle, and SAP, might simply turn you off with no warning? It sounds fanciful, absurd, a black swan event so far beyond any reasonable risk matrix as to be unworthy of consideration. Yet it happened this year, 2025, to a major oil company in the world's most populous country. What was once unimaginable is now here, and with it, lessons for every oil and gas organization, indeed every company, about the new risks in the digital landscape. ⚒️ Additional Tools & Resources:

In dieser Episode dreht sich alles um das Thema Künstliche Intelligenz in der Versicherungsbranche – und wir bringen Licht ins Dunkel zwischen Hype und echter Praxis. Unser Co-Host Alex Bernert spricht mit den Experten von msg: Andrea van Aubel, Vorstand und KI-Pionierin mit über 30 Jahren Branchenerfahrung, sowie Axel Helmert, Mr. AI für die Lebensversicherungswelt und Head of Research and Development. Gemeinsam gehen sie der Frage nach: Was funktioniert mit KI in Versicherungen tatsächlich schon heute? Wo liegen die Herausforderungen und Stolperfallen? Und wie verändern Agentic AI und Reasoning-Modelle die Geschäftsprozesse von Leben über Kranken bis hin zu Schaden und Unfall?Von konkreten Beispielen aus dem Schadenmanagement bis hin zu Visionen für die Produktentwicklung – die Folge bietet ehrliche Einblicke, Expertenwissen und einen spannenden Ausblick auf die nächsten Jahre. Freut euch auf praxisnahe Use Cases, aufschlussreiche Diskussionen über Governance und Compliance sowie die berühmte Kristallkugel am Ende: Was wird KI wirklich im Versicherungsgeschäft verändern? Viel Spaß beim Zuhören!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

Steve Lucas is the CEO of Boomi, a leading integration and automation platform. Before joining Boomi, Steve served as CEO of Marketo, where he led the company's transformation from a $1.6 billion valuation to its acquisition by Adobe for $4.75 billion in just 24 months—one of the largest software acquisitions in history. Prior to that, he held executive leadership roles at SAP and Salesforce, and cut his teeth in technology at Microsoft in the early 1990s. Steve is the author of "Digital Impact," exploring how AI and intelligent automation are reshaping business and society. A passionate advocate for diabetes research after being diagnosed with type 1 diabetes at 26, he serves on the board of the Children's Diabetes Foundation and recently established an endowed chair for diabetes research at the University of Colorado. Known for his curiosity, authenticity, and unwavering commitment to customers—he makes it a rule to speak with at least one customer every single day—Steve brings a unique blend of technical expertise and people-first leadership to one of technology's most transformative eras. In this episode, we discuss: How Bill McDermott's simple advice—"just be you"—freed Steve from a decade of self-doubt and changed his career trajectory The power of saying "no": How Steve took Marketo from $1.6B to $4.9B by doing less, not more Why talking to a customer every single day is non-negotiable and how it transforms your entire organization Turning adversity into strength: Steve's journey with type 1 diabetes and the moment that changed his perspective forever The future of AI in the workplace and why we're the last generation of managers to manage only humans

Episode SummaryThe future of cyber resilience lies at the intersection of data protection, security, and AI. In this conversation, Cohesity CEO Sanjay Poonen joins Danny Allan to explore how organisations can unlock new value by unifying these domains. Sanjay outlines Cohesity's evolution from data protection to security in the ransomware era, to today's AI-focused capabilities, and explains why the company's vast secondary data platform is becoming a foundation for next-generation analytics.Show NotesIn this episode, Sanjay Poonen shares his journey from SAP and VMware to leading Cohesity, highlighting the company's mission to protect, secure, and provide insights on the world's data. He explains the concept of the "data iceberg," where visible production data represents only a small fraction of enterprise assets, while vast amounts of "dark" secondary data remain locked in backups and archives. Poonen discusses how Cohesity is transforming this secondary data from a storage efficiency problem into a source of business intelligence using generative AI and RAG, particularly for unstructured data like documents and images.The conversation delves into the technical integration of Veritas' NetBackup data mover onto Cohesity's file system, creating a unified platform for security scanning and AI analytics. Poonen also elaborates on Cohesity's collaboration with NVIDIA, explaining how they are building AI applications like Gaia on the NVIDIA stack to enable on-premises and sovereign cloud deployments. This approach allows highly regulated industries, such as banking and the public sector, to utilize advanced AI capabilities without exposing sensitive data to public clouds.Looking toward the future, Poonen outlines Cohesity's "three acts": data protection, security (ransomware resilience), and AI-driven insights. He and Danny Allan discuss the critical importance of identity resilience, noting that in an AI-driven world, the security perimeter shifts from network boundaries to the identities of both human users and autonomous AI agents.LinksCohesityNvidiaSnyk - The Developer Security Company Follow UsOur WebsiteOur LinkedIn

Have you ever felt overwhelmed by stress and wondered how some people find the courage to grow stronger under pressure, while others burn out? In a world obsessed with comfort, ease and avoiding discomfort, today's guest offers a powerful reframe: stress isn't the enemy - how we respond to it is. In this episode of It's a Mindset, I'm joined by Dr Paul Taylor, a Psychophysiologist, former Royal Navy Officer, and one of the world's leading experts in hardiness - the science of turning stress into growth, strength and resilience. Paul brings a rare depth of insight, combining neuroscience, psychology, nutrition, exercise science, military leadership and real-world performance. He's the author of the bestselling, award-winning Death By Comfort and his newly released book The Hardiness Effect, and host of the Hardiness Podcast, ranked in the top 0.5% of podcasts globally. Together, we explore why modern life is quietly eroding our resilience, how over-comfort is making us more fragile, and why learning to lean into challenge - rather than avoid it - is essential for wellbeing, leadership and long-term fulfilment. I genuinely don't think I've ever written so many key takeaways from a single episode. Paul is incredibly inspiring - calm, practical and deeply human in the way he explains stress, courage and growth. This conversation challenged my thinking and reinforced something I see every day in my coaching work: mindset alone isn't enough. True resilience lives in the body, the nervous system and our willingness to meet discomfort with intention. If stress has been feeling heavy, relentless or overwhelming - this episode will give you an entirely new lens. Key Episode Takeaways: Hardiness isn't about avoiding stress - it's the courage to grow because of it Why comfort is quietly undermining our resilience and wellbeing How Stoicism is about feeling emotion without being controlled by it You always have a choice in how you respond - even under pressure Why the fight response (not just flight or freeze) plays a vital role in healthy stress management About the Guest: Dr. Paul Taylor is a Psychophysiologist, with a PhD in Psychology, separate master's degrees in Exercise Science and Nutrition and a postgraduate qualification in Neuroscience. A former Royal Navy Officer and Adjunct Professor at University of San Francisco, Paul is a leading expert in hardiness - the cutting-edge science that transforms stress into competitive advantage. As Director of Paul Taylor Consulting, he delivers keynote talks and hardiness training, leadership and performance workshops to companies such as Oracle, SAP, PWC, NAB, CBA, BUPA & the Australian Military. He has conducted published research that shows that his programs have proven benefits for increasing hardiness, cognitive function and employee wellbeing, whilst reducing burnout across multiple industries. Paul is the author of the best-selling, multiple award-winning book "Death By Comfort" and has just released his second book, "The Hardiness Effect". Paul also hosts the Hardiness Podcast, which is in the top 0.5% of all podcasts globally, and has developed a hardiness app to help people develop this crucial life skill. His media experience includes co-hosting the TV series "Body and Brain Overhaul," appearing on "The Biggest Loser" as a subject matter expert and being voted Australian Fitness Industry presenter of the year twice. Paul's high-pressure leadership experience includes roles as Airborne Anti-submarine Warfare Officer and Helicopter Search-And-Rescue Crew Member with the Royal Navy Fleet Air Arm. He's undergone rigorous Military Combat Survival training, became a professional boxer in 2012, and in 2021, both Paul and his son Oscar became Australian Karate Champions. Show Resources: Follow Paul on Instagram - HERE Check out Paul's Website - HERE Learn More About Paul's new book, The Hardiness Effect - HERE Follow Emma, the Podcast Host on Instagram - HERE Learn More About 1:1 Coaching with Emma - HERE Book a FREE 30-Minute Discovery Call with Emma - HERE If you loved the episode, please share it on your Instagram stories and tag us: @emmalagerlow and @paultaylor.biz If you're ready to rethink stress, reclaim your inner strength, and build resilience that lasts — this episode is essential listening. Yours in courage and growth, Emma x

In dieser Folge dreht sich alles um das oder vielleicht ungeliebte Herzensthema der Datenmigration in der Versicherungswelt. Mit Tanja Kick und Craig Entweile begrüßen wir dazu zwei echte Expert:innen aus dem Consulting von PPI, die täglich im Maschinenraum von Migrationsprojekten unterwegs sind. Sie sprechen über typische Stolperfallen, Klischees und warum waschechte Migrationsprofis sowohl planen als auch improvisieren können müssen.Mit ihrem neuesten Whitepaper im Gepäck geben sie tiefe Einblicke in Best Practices, Strategien und echte Aha-Momente aus ihren Projekten – von der Auswahl just so vieler Daten wie unbedingt nötig bis hin zu charmanten Praxistipps für das Mapping und new-age Testmethoden. Ob Komposit- oder Lebensmigration, die Folge räumt Mythen aus dem Weg, zeigt, worauf es wirklich ankommt und blickt in die nahe Zukunft der Migration zwischen uniformen Systemlandschaften, Automatisierung und KI.Wer also gerade eine Migration plant, ins Zielsystem umziehen möchte oder einfach hören will, wie auch zwischen Karneval, Veggie Bowls und automatisierten Tests Projekte zum Erfolg werden, ist hier genau richtig!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

This week on ASUG Talks, SAP Cloud ALM takes center stage. I am joined by two guests offering different perspectives about the solution. Bryce Lightner, Enterprise Solutions and Operations Architect at Woodstream Corporation, discussed his experience using the solution, while Sören Ruder, Chief Product Officer (CPO) and Head of Customer Experience & Solutions (CXS) at SAP, joined the podcast to articulate the value of SAP Cloud ALM and where it fits into the portoflio. Key InsightsHow SAP Cloud ALM helped Woodstream optimize its project management capabilitiesThe impact SAP Cloud ALM can have on enterprises as they undertake business transformationsHow SAP Cloud ALM can also help organizations with their AI journeysRelated Insights Read ASUG editorial's interview with Irfan Khan, President and Chief Product Officer of SAP Data & Analytics, about SAP Business Data Cloud

In this special episode, Sammy Gordon gets the APS all stars together for their annual roundtable to celebrate the end of the year and reflect on the most popular and meaningful episodes as chosen by our listeners. The crew, including Luke Teeuwesen, Morgan Holmes, Brendan Geoghegan, Paul Dem and Jimmy Ibrahim, share their personal favourite episodes and standout stories, from inspiring client journeys like Bailey's and Yao Chen's transformations to touching moments such as the tribute to Tara. With plenty of laughs, heartfelt reflections and insights into the impact of APS's mission, this episode delivers a fitting wrap-up to the year highlighting both business growth and the deeper reasons behind property investing. Whether you're a long-time listener or new, you'll get a genuine look inside the APS and SAP community and what drives our passion to help others reach their goals. School of Property is the ultimate education destination to master property investment, with a curriculum meticulously designed and crafted with both beginners and experts in mind. Whether you are a complete novice, or you're ready to take things to the next level in your portfolio, this is the program for you! To find out more, head to www.schoolofproperty.com.au If you loved this episode please send it on to someone who would take some value, and please give us a 5 star review if you haven't yet and are loving the poddy! If you want your question answered on our podcast DM us on our socials or email us at apsteam@australianpropertyscout.com.au Send us your questions to: Instagram: @australianpropertyscout Want to book a call with us: Website: https://australianpropertyscout.com.au Any information, comments, opinions or content that we provide in this podcast is our general observations and information only and it is not to be taken as, or in any way, considered to be financial advice, accounting advice, superannuation advice or legal advice. We strongly recommend all and any listener and participant to obtain their own independent financial advice, accounting advice, superannuation advice and legal advice before acting in any way in relation to any investment at all including any investment in property such as what we might be discussing in this podcast. No warranty, guarantee or representation is to be taken and you cannot reproduce it in any way. Every persons financial or investment situation is different and you must consider your own circumstances before undertaking any investment and be sure to obtain independent advice. Australian Property Scout Pty Ltd | License Number: 10094798 | ABN: 64 638 266 369 Chapters (00:01:45) Welcome (00:04:10) Favourite episodes of 2025: The team's picks (00:08:08) Impact of client investor episodes (00:12:41) The power of the circle of influence (00:16:09) Creating community with SAP (00:18:19) 10 Key Pillars to Build a 100+ Property Portfolio (00:19:52) Overcoming doubt (00:22:50) Jimmy's birthday surprise (00:25:55) The APS mission (00:32:00) Most moving episode: The Tara tribute (00:38:52) Impactful moments and life lessons (00:43:12) Bailey's investor journey (00:49:22) Personal growth, learning from setbacks and motivation (01:03:27) Annual listener poll winners (01:10:59) Reflections + final thoughts

Is AI finally ready to do your job — better, faster, and cheaper?In this week's Leveraging AI news recap, host Isar Meitis unpacks a flurry of groundbreaking developments in the world of artificial intelligence — from the release of GPT-5.2 to jaw-dropping advances in recursive self-improving AI (yes, it's as intense as it sounds).Whether you lead a business, a team, or just need to stay ahead of the AI curve — this episode is your executive summary for everything that matters (and nothing that doesn't).We'll also dig into the billion-dollar OpenAI–Disney partnership, how real users are actually leveraging AI in the wild, and why the Fed is finally admitting AI is changing the job market.In this session, you'll discover:The GPT-5.2 release: performance benchmarks and real-world capabilitiesIs GPT-5.2 better than humans at actual work? (71% of the time, yes)Why OpenAI's new “not-an-ad” ad rollout caused a user revoltOpenAI x Disney: Why $1B is being bet on AI-generated Mickey Mouse contentGPT-5.2's weak spots and where Claude Opus still dominatesWhat Recursive Self-Improving AI means (and why Eric Schmidt is nervous)AI designing its own hardware: A startup that could rewrite Moore's LawNew usage data from OpenRouter, Microsoft, SAP & Perplexity – how people actually use AI Why prompt length is exploding (and what that means for your business)AI agents in browsers: the productivity revolution or a security nightmare?Databricks proves AI sucks at raw documents (and how to fix it)The psychological bias against AI-created work — it's realClaude's new Slack integration: is this the dev team you didn't hire?Apple's AI brain drain & why it mattersGartner says: Block AI browsers (for now)AI and unemployment: The Fed finally connects the dotsWant to future-proof your team's AI skills? Isar's AI Business Transformation Course launches again in January — a proven, real-world guide to using AI across content, research, operations, and strategy.

Dive into what's next for enterprise AI in the latest episode of Tech-Driven Business. Mustansir Saifuddin welcomes SAP expert Andrea Haupfear for an in-depth conversation on how SAP is helping organizations turn AI from hype into measurable business value. If you're navigating transformation across finance, supply chain, or operations, this episode is a must-listen. Andrea breaks down what makes enterprise AI different—why trusted data, business context, and governance are non-negotiable—and how SAP is embedding AI directly into business processes to improve speed, accuracy, and ROI. Tune in for a real-world example and practical guidance on how organizations can start small, prioritize high-impact use cases, and prepare for what's coming next with Agentic AI. Andrea Haupfear is a Business Process Architect with over a decade of experience driving digital transformation through artificial intelligence and advanced analytics. She specializes in designing and implementing AI-powered solutions that enhance operational efficiency, decision-making, and adaptability across diverse business environments. Andrea is recognized for her strategic leadership in translating complex technologies into scalable, real-world applications, making her a trusted advisor in navigating change and unlocking value through innovation. Connect with Us: LinkedIn: Andrea Haupfear Mustansir Saifuddin Innovative Solution Partners X:  @Mmsaifuddin YouTube or learn more about our sponsor Innovative Solution Partners to schedule a free consultation.    Episode Transcript [00:00:00] Mustansir Saifuddin: Welcome to Tech Driven Business, brought to you by Innovative Solution Partners. I'm honored to have Andrea Haupfear of SAP. Join me today to break down how SAP is helping organizations leverage AI to drive efficiency, reduce risk and deliver measurable ROI. We'll also look ahead at what's next and how you and your team can prepare as AI moves from experimental to essential for enterprises to thrive. [00:00:35] Hello Andrea. How are you? [00:00:37] Andrea Haupfear: I'm good. How are you? [00:00:40] Mustansir Saifuddin: Doing well, doing well. I'm so excited to have you on our show. So thank you for coming on. Today we would like to talk about the latest SAP's AI journey and the business transformation. And what it really means for SAP customers. How does it sound? [00:00:57] Andrea Haupfear: Sure. No, it sounds great. This is one of my passions that I love to talk about, and so you know, happy and excited to actually share a little bit about what we're doing with AI at SAP and what we've seen in the field with our customers. So, super excited and it's a pleasure being here. [00:01:14] So thank you again for inviting me here. [00:01:17] Mustansir Saifuddin: Awesome. Awesome. Let's get into it, we know we are at an inflection point, right? AI is moving so fast and it's actually turning from experimental to essential, right? For in a lot of different cases. So let's focus in how is SAP's AI strategy fundamentally different from consumer AI? And why does it really matter for enterprises? [00:01:39] Andrea Haupfear: Yeah, absolutely. So a couple of things that I wanna kind of touch on here. So oftentimes, and you mentioned this, right, we, we've used, we've used AI in our personal and daily lives for, you know, the last decade plus, right? I mean, when you think about AI, a lot of people think about Siri or Alexa or ChatGPT, right? [00:02:01] And you know, when I personally think about AI you've got your broad and creative tasks. What we've done in our personal lives, you know, everything from creating a grocery list to, editing a, a photo, right? A family photo. But from a business perspective you know, an enterprise AI, it really has to change those business outcomes. [00:02:26] And really when you think about this, think about, you know, everything from could be closing the books faster or. A faster on time delivery rate or reducing risk in my supply chain. And how do we ultimately do it with the highest level of governance, auditability, cost control. And so SAP's approach is really built around that flywheel of applications, data and that additional layer of artificial intelligence on top of it. [00:02:58] So there's, there's that aspect to it, but then also thinking about it in a couple of other ways of how we're doing this. Is, you know, yes, we're embedding it where your business or where the work happens. So making it easier for our end users to be able to leverage artificial intelligent capabilities and even machine learning capabilities, not just [00:03:23] from a digital assistant or a chat perspective, but how do we integrate it and infuse it within their specific business, day-to-day business processes to make their lives that much easier? But then also thinking about it from a strategic perspective, how can I obtain that high level of ROI by leveraging artificial intelligence. [00:03:47] So we're seeing it in a couple of different flavors from our customers. And then also what we're developing from a, from a product perspective as well. So we're thinking about it from a couple of different angles. [00:04:00] Additionally, thinking about it from a AI operating system for our developers and for our consultants, leveraging the AI foundation on the business technology platform. [00:04:13] So think about what used to be our developers would have to generate thousands upon thousands of lines of code. Now that's no longer the case, right? It can take them you know, a, a minute or so now to develop the, these applications and these lines of code to where it's, it's easier for them to go about their day-to-day jobs and their, their tasks where now they don't have to spend days upon days trying to develop these different applications and agents. [00:04:45] It also lets you and I just mentioned around agents, it also lets you create and govern custom agents to read and write back to SAP and non SAP systems. Thinking about this automation and accountability, not just getting those pointed answers, right? And then last but not least, kind of how I think about this is, yes, you've got your trust. [00:05:09] Think about trust not only in the data from looking at it in your SAP systems, but also think about non SAP systems. Think about your third party applications that you're going in and looking at the data, whether it's geographic information customer sentiment information, or it could even be, asset related sensor information, right? So bringing in that data as well as looking at it from your SAP business data context but then also looking at it with responsibility. So SAP has that responsible AI program in place really aligned to the UN UNESCO principles and the ISO 4 2 0 0 1 certification to really prioritize [00:05:57] those ethics and compliance and human oversight within our, our AI applications such as, you know, AI core and our digital assistant juul. So really taking it from a full spectrum approach and looking at it at the holistic level and how we can bring in artificial intelligence within these, these areas. [00:06:20] Mustansir Saifuddin: I love the way you kind of package it all together, from an overall perspective, especially, you know, the two things that really stuck out to me was. Again, coming from a business side, what is in it for a customer, right? What is the real value? [00:06:35] And you touched upon two things, embedding it. So a person who is currently doing a job and they're used to doing it manually. Now you can. Embed these ai component to their daily work streams, right? And how they can, you know, utilize that. And the second part I really loved it is you talked about ROI really what is the return I'm getting on this investment, right? And then lastly, you talked about data. So let's, let's talk about that. You know, here's the uncomfortable truth. AI is only as good as the data it learns from. We all know that. We all talk about it. And we have always heard this term garbage and garbage out, but what that sort really mean when we are talking SAP AI, making recommendations to customers and we are talking the effect in terms of millions in revenues or supply chain decisions. How would you like to address that? What is, what is SAP's approach on that? [00:07:33] Andrea Haupfear: Yeah, so a couple of things and you know, I've heard that term many times and coming and being an ex consultant. It's, it's definitely right. You're only as good as, as I've heard, you know, as the data that you have. So my thought on this is really when you have an AI agent that recommends, say for example, expediting a shipment or reclassifying a receivable, the truth that it relies on, [00:08:00] is your master data. [00:08:01] It is your transactional history and any sort of process constraints that lie in between. So ultimately, when I think about this, it's not just your, your master data. It's a, it's a multitude of things that ultimately will help the AI model in the end. In the end game to take those three pillars and turn garbage in into good decisions out. [00:08:27] The other piece that, how I think about this are semantics and not necessarily just schemas. So think about when we have some of our solutions such as Business Data Cloud, which carries those semantics and lineage into your AI workloads. So say for example, the customer, the plants, or an open po, it means the same thing everywhere. [00:08:51] And that's really critical for explainability and audit purposes. That's another way how I think about this. And then also just looking at this from a context perspective. So I also think about, you have to train a model when at first go, right? And be able to provide it some context, some instruction, some understanding that says, this is where this particular business process lies. [00:09:17] This is how the process should look and feel. What does good look like? And that's ultimately what we explain and tell our customers is we need to train our model to understand what does good look like, and this is where you have that context, rich retrieval and not just kind of that blind prompting that just says, go do this. [00:09:36] But the model will try to establish what it thinks good looks like, which may not necessarily mean what you think good looks like. This is where SAP HANA Cloud will bring in that vector engine, so those semantic retrievals and documents and notes and images. [00:09:53] Think about a knowledge graph. So it brings in those specific facts and relationships from your ERP, but then also thinking about a rag model as well, reducing those hallucinations and making those citations explainable. So why did the model or an agent be able to go through the process that it did? [00:10:16] Well, that's because there's multiple steps and instructions that the model has to take in order to provide an accurate response. Those are some of the things in, in which we leverage today with our customers and really making it so that way it's, yes, they may not always have the best data, but let's provide additional context to really help, again, make those good decisions coming out. [00:10:41] Mustansir Saifuddin: I liked the way you tied it together, right? We talk about business semantics being so important, BDC, the business data cloud. How is that coming into play in this conversation? And then coming from business semantics into a context. A context really is required for the answers to make sense and be business relevant. [00:11:03] So I really love the way you kind of connected together. Let's zoom in. Let's pick an industry. And there are so many examples that manufacturing, retail, financial services. Can you walk us through one compelling use case where SAP AI is really creating these breakthrough value? [00:11:21] What was the business problem? And how did AI solve it differently? [00:11:26] Andrea Haupfear: Yeah, absolutely. Mentioned at the beginning, SAP is investing heavily within artificial intelligence and machine learning capabilities, not just from an embedded AI perspective, but also think about it from a tailored AI perspective. So I mentioned [00:11:41] Business Data Cloud, being able to pull information and data not only from your internal SAP systems, but also external and third party information. And I wanna give you an example in a use case real world use case of a dairy co-op out of Wisconsin that is actually doing this today [00:12:00] from a very innovative approach. [00:12:02] Their challenge was around their performance at the subcontracting level. Ultimately these guys have a dairy co-op with their local farmers or farm base. They bring in the milk to not only from an internal manufacturing perspective to process out milk cheese, butter whey, et cetera cream, but they also subcontract it out as well. [00:12:28] And so this is really where they wanted to be able to get a better understanding, not just insights perspective on their data at their subcontractors from a yield output perspective. How much dairy, how much cheese was being was an output or yield, but what was going in and then going in versus going out. [00:12:50] And so ultimately what they wanted to be able to do was, yes, be able to look at the yield perspective from an insights, but they wanted to be able to leverage and infuse artificial intelligence from this process to ultimately help with their reduce of shrink. And contributing to a 1% KPI, which ultimately makes up to you and I roughly 10 to $15 million. [00:13:16] Okay. So just to kind of put it in perspective here of how much we're talking about. And so what they did was, yes, we have the insights from an analytics perspective, they wanted to be able to make it easier for their dairy supply chain planners to be able to, in real time through natural language processing, be able to chat with a digital assistant to gain insights around, Hey, what is my yield output for specific plant? [00:13:42] Tell me my highest and lowest plants that had the yield output. Tell me un understanding from a scrapping perspective how much waste is going out. So they wanted to be able to look at these specific metrics and be able to get a better understanding, hey, which particular plant is performing the best versus the worst. [00:14:03] So that way they can help to be able to retain and possibly improve some of these plant relationships going forward. Additionally as kind of that part two, what they wanted to be able to do is they receive manual yield output reports on a weekly basis from these subcontractors. It's typically in a PDF format, Excel, PDF format, and oftentimes these can be miskeyed into their S4 system. [00:14:35] And what they wanted to be able to do is be able to have an a little bit more of an automated process. Of, yes, not only uploading these reports that they, they have to manually key in today, but they wanted to be able to provide some intelligence behind it. And so this is where we've put in outlier detection on these attachments to where now I can see, okay, was there a miskey or an oversight that says, okay, you know, this should have been 2,622 versus 6,222. It can detect those mis keys in real time to say, Hey. For my supply chain planner, this doesn't necessarily look right. It's way outta whack compared to what was previously entered in, in the previous weeks. [00:15:24] You should triple check this, right? So it's, it's being able to provide a little bit more of, think of like big brother watching over you before it actually goes and hits into their ERP system. This is ultimately contributing to their supply chain process and has a direct impact on their KPI metrics that they're leveraging. [00:15:44] In this case, it's it's within shrink, so really getting a, a better handle on that. [00:15:50] Mustansir Saifuddin: No, I think the, the way you explained it, it is a great example 'cause now I can see not only does it apply to this particular industry, but it can cut across multiple industries. [00:16:00] Right. Because the example talked about production at a plant level. At the same time, the supply chain mishaps that can happen. [00:16:08] And usually a human eye can take so much [00:16:11] or can detect so much, but you can't try and put it together in a way that you guide your, your workforce to look at anomalies that can really help you steer the ship in the right direction quickly and efficiently. So that's great. [00:16:26] That really leads into my, my next question is, all of this is great, right? This is happening right now, we can see like the example you use, [00:16:35] right? It is in action. It is in motion, and customers are seeing value. Let's fast forward, where is SAP's AI development heading? You know, let's take a time horizon, 18 to 24 months. What capabilities should organizations be preparing for? Because it is all about future proofing ourselves, right? And how should they architect the solutions today to be ready for that feature, you know, coming up so quickly? [00:17:02] Andrea Haupfear: Yeah, absolutely. So a couple things that that come to mind. So number one and we've all been hearing kind of the next and elitist buzzword is around agents and agentic AI. So really how. I think about agents is how do we provide some of those tasks that, you know, may not necessarily whether they're they're still important, but, you know, maybe take up a lot of our time [00:17:29] but being able to provide and have a AI model behind that. To really free up some of the workload and provide some of our end users more on the strategic front. Freeing up some of that time. So I think in my humbled opinion, Agentic AI but Agentic AI at scale. So a lot of our customers are looking at what we have and this is where we're embedding. [00:17:54] Within our SAP applications agents within each one of our lines of business, but also custom agents. So this is something that is going to be released here in the next next several months, is looking at I have my embedded agents, but if I have very specific and unique, maybe differentiated business processes, how can I be able to integrate and infuse custom agents or an agent within this particular process? [00:18:23] And so this is really where I think is gonna we're really gonna see a lot of value coming in from our customers that says, yes, I can use agents in a multitude of different ways. Second is thinking about as an organization, we're becoming more dynamic and, and open source for data and how we can process it in a business context. [00:18:47] So thinking about, yes, I mentioned the Business Data Cloud, but also you know, strong partnerships. That was just announced with Snowflake as well. Right? So bringing in, yes, not only our internal data, but also our external data as well. How can we take that data and be able to normalize it? As far as from an architect's perspective, here are a couple points that I was kind of thinking about in my mind as we were going through this. [00:19:13] Was around keeping the core clean, right? So making sure that, yes, we're using our, our business technology platform various extensions and agents and skills from from JUUL studio and avoiding really those those drastic upgrades. And also kind of how I'm thinking about this is adopting that data product mindset. [00:19:40] So looking at, and I mentioned this as well, like Business Data Cloud, from looking at semantics and lineage, but also looking at retrieval methods. So vector engines and knowledge graphs. But then also thinking about it from a process perspective and [00:20:00] designing agent guardrails. So making sure that you have a much more standardization of an understanding of those roles and permissions. [00:20:10] Understanding human in the loop checkpoints at what point should be automated versus, okay, we need to have a set of eyes on this to actually be able to say, yep, this looks correct. I think that that's extremely important. [00:20:25] Mustansir Saifuddin: Yeah, for sure. And I think a couple of things that really stuck out for me. One is very near and dear to me, is the data part. And you talked about the partnership with Snowflake coming out recently, and I think it's important, especially when we talk about data for an organization. It's not just SAP data, it's like the overall, right? [00:20:42] You know, this, what does it really make up my organization? So [00:20:45] great approach from SAP, how it's trying to bring in like a business context around it, right? You have information within your ERP, outside of your ERP and then using the BTP platform. and the BDC platform to kind of bring it all together. So I think great segue, especially when we talk about agents and you know, we've all been talking about agents you know, for quite some time now, but now we can see the real value, how we can customize it and bring it together from a data perspective. So great conversation. On a personal note, how are you staying up, you know, on top of all these changes taking place in technology and business? What is your secret sauce? [00:21:26] Andrea Haupfear: Yeah, no, it's tough 'cause it's changing daily, weekly, right. And so being able to stay, have it stay top of mind. This is something that is part of, yes, not only my passion and what I do day in and day out, right, but also looking and getting, keeping educated not only from a process perspective by virtue of, you know, our internal processes, what we have in our products and our product offering, but also external with our clients. [00:21:54] To say, okay, what are they doing today with their processes? And then how can we leverage AI within that? So yes, not only from an internal knowledge sharing perspective, from a functional and technical perspective, but also external as well. And then thinking about external blogs, news sources, those are just kind of some of the things that I try to stay up to date. [00:22:16] You know, as best as I can. [00:22:18] Mustansir Saifuddin: No, I hear you on that. It is, it is a constant learning and I think that's the key, right? Educating [00:22:23] and educating and educating and be able to find your sources. I think that's the key. Great conversation. I know we are at time, what would you take out of this conversation that we just had and want to leave a particular takeaway for our listeners and folks who are interested in this topic? [00:22:42] Andrea Haupfear: Sure. Absolutely. So AI is not just like, and, and I meant we mentioned this earlier on, right? AI is not just in our personal lives, but it's also in our workplace and it's very, very real. We are seeing our companies and our customers take advantage of infusing AI into their business processes and receiving the high ROI in their processes. [00:23:05] The key is to start small. Strategically and identify which areas will have AI and will have that high ROI, but then also have the highest value when it comes from an impact perspective. We see this to where we run this as, as ultimately an ideation sessions with our customers and from the takeaway out of those sessions is they can start to craft an internal roadmap that will lead them to AI success. [00:23:38] And ultimately our organization can help them get there along the way, even whether they're just dipping their toe in the AI pool or some, some customers that we deal with already have strong partnerships with large language model providers or they're partnering with universities, things like that. [00:23:57] The end goal in net net is that [00:24:00] our organization can help to not only help identify those high value AI use cases, but also investing in you to create those. We offer a free proof of concept in as much as eight weeks. You mentioned this, you know how frequently this is changing. [00:24:18] AI is changing. Right? And this is where we can develop these proof of concepts to where you, our customers can be able to realize those value in a very quick and short amount of time. And so that's ultimately where I wanna leave the audience with is that we're, we're seeing AI not just in our personal lives, but also in the workplace. [00:24:39] And we're actually showing them and, having them realize it in real time. So you guys can, can feel free to reach out to me. I think we'll have my contact information at the end of the podcast here. But you know, happy to have further conversations with you and your organization. [00:24:55] I wanna thank you again personally for inviting me to the podcast and to discuss a, a very, very close and passionate topic for me. [00:25:04] Mustansir Saifuddin: It's a pleasure to have you, Andrea, and really, I think it was a great conversation. You touched upon so many different things and I think that was the purpose of this, was to kind of bring light to exactly what's going on in, you know, we talk about AI in general, but what is really happening at the inter-enterprise level [00:25:21] and what is the real value when folks are looking at, from a business perspective. How to increase ROI in this new technology and what does really mean in terms of increasing business revenue and across the board improving efficiencies. Right? So it's all together. But thank you so much for coming on our show. [00:25:42] Andrea Haupfear: Absolutely. Thank you for having me. [00:25:44] Mustansir Saifuddin: Thanks for listening to Drug Driven Business, brought to you by Innovative Solution Partners. SAP is helping customers move from AI experimentation to enterprise value by embedding AI where work happens, grounding it in trusted data and business context. And ensuring governance, auditability, and control. [00:26:10] Andrea's Key takeaway? Start small. Focus on the highest ROI use cases and build a clear roadmap because when AI is tied to real processes and real outcomes, SAP customers can unlock faster decisions, lower risk, and measurable impact. We would love to hear from you. Continue the conversation by connecting with me on LinkedIn or X. [00:26:36] Learn more about innovative solution partners and schedule a free consultation by visiting isolutionpartners.com. Never miss a podcast by subscribing to our YouTube channel. Information is in the show notes.        

In this special edition of the XTraw AI Podcast, we break down the new whitepaper Introduction to Artificial Intelligence and Enterprise Architecture authored collaboratively by Raghu Banda, Shibaji Chandra, and Guillem Ona Vizcaíno. This episode offers an audio interpretation of the paper's key ideas—linking AI strategy, architectural principles, SAP technologies, and the rise of agentic systems.How AI is reshaping Enterprise Architecture, from clean-core principles to runtime selection, data governance, and MLOps.Deep insights into SAP's evolving AI landscape, including Joule, Joule Studio, Agentic AI, and Foundation Models.A practical, EA-aligned framework for evaluating use cases, integrating AI responsibly, and designing intelligent enterprise systems at scale.You can reach @ Raghu @ Shibaji @ GuillemAnd the website @ XTraw AI

In episode 271 of our SAP on Azure video podcast we talk about very large HANA environments on Azure. Already in the early days of running SAP on Azure, we had customers with large HANA environemnts. Obviously, in the beginning we talked about 2 or 4 Terrabyte systems. We were always supporting the largets environment and today we want to talk about a new recent S/4HANA scale-out environment with 24 TB VMs. This whole projects shows how the growth even of complex HANA architectures, from 3 TB to 6TH, 12 TB, 24 TB or even 32 TB is something that we support on Azure. To share more about this amazing journey, I am happy to wecleom Abbas and Momin on our show today. Find all the links mentioned here: https://www.saponazurepodcast.de/episode271Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #HighAvailability #ScaleOut

Tema del dia La Sílvia avui ens proposa parlar sobre aquelles preocupacions que tenim en relació amb el propi cos: la forma del nas o els llavis, el nostre pes, els nostres cabells, les nostres pigues... Tot allò que sovint ens avergonyeix quan, en realitat, ens fa únics i especials. Som-hi! Bonus Continuem la conversa i ens centrem en els típics comentaris sobre el físic que ens fan sovint coneguts i familiars. Transcripció Sílvia: [0:15] Bon dia, Andreu! Andreu: [0:16] Bon dia, Sílvia! Sílvia: [0:17] Com anem? Andreu: [0:18] Tot bé. Sílvia: [0:19] Sí? Andreu: [0:19] Tot bé, amb gana. Encara no he esmorzat, però... Sílvia: [0:22] Apa! Encara no has esmorzat? Jo ja fa estona que he esmorzat. Andreu: [0:25] Bé, he esmorzat una mica, molt poquet, però he de fer el segon esmorzar. Sílvia: [0:28] Ah, d'acord. Andreu: [0:30] Tu no fas segon esmorzar? Sílvia: [0:31] Sí, clar! Jo en dic "resmorzó". Andreu: [0:33] "Resmorzó". Està bé, m'agrada. Sílvia: [0:36] Sí. A mig matí. A mig matí, un resmorzó. Home, va bé per acabar d'aguantar fins a l'hora de dinar. Andreu: [0:41] Clar, és que… recordem que aquí dinem tard. Bé, a casa vostra dineu prou aviat, no? A la una o així? Sílvia: [0:47] Sí, dos quarts de dues, però sí. Andreu: [0:49] Sí, està bé, està bé. Jo solc dinar més cap a les dos, quarts de tres... Sílvia: [0:55] Uf! Andreu: [0:56] Tres... Sílvia: [0:56] Vaja! Andreu: [0:57] Sí. Llavors, clar... Sílvia: [0:59] Ja començo a patir. Andreu: [1:02] Sí, sí. Sílvia: [1:03] O sigui, quan es fan les tres ja estic una mica que mossego. Andreu: [1:06] Ah, és veritat, és veritat. Tu et poses de mal humor quan tens gana. Sílvia: [1:10] Molt. Andreu: [1:10] Jo no quan tinc gana, sinó quan he dormit malament. O sigui, si no dormo bé, l'endemà estic de molt mala lluna. I això t'ho pot certificar el Jesús. No, tothom no, perquè davant de persones que no tinc tanta confiança, doncs faig l'esforç de... Sílvia: [1:31] Ah! Fas el cor fort? Andreu: [1:32] Intento que no es noti tant, però amb qui tinc tota la confiança és com... Sílvia: [1:36] S'ho menja tot. Molt bé, "estupendo". Sílvia: [1:37] Zero filtres. Sí, sí. Sap greu, però és així. Sílvia: [1:40] És així, la vida. Andreu: [1:41] És així. Sílvia: [1:41] Sempre diuen que els que viuen amb tu els hauries de tractar com companys de feina, vull dir, amb respecte, que no els hi gosaries dir les coses de qualsevol manera, no? Però molt bonica la teoria, molt complicada la pràctica. Andreu: [1:53] Ja… Però jo gairebé que tractava més els companys de feina com a parella que no al revés. Sílvia: [2:00] Ah, vaja! Andreu: [2:02] Bé, però perquè teníem confiança. És allò que diuen que la confiança fa pudor, fa fàstic, no? Sílvia: [2:07] Sí. Andreu: [2:07] Bé, en fi. Fes-te membre de la subscripció de pòdcast per accedir a les transcripcions completes, a la reproducció interactiva amb Transcript Player i a l'ajuda de vocabulari. (http://easycatalan.org/membership)

El director de atlCapital analiza los títulos de Naturgy, Microsoft, Oracle, Bankinter, IBM, SAP, Enagás, Elecnor o Sacyr, entre otros

Hacemos balance en Europa destacando: SAP, ST Microelectronics, Schneider Electric, el sector farma y Ocado. Con Juan Enrique Cadiñanos, CEO Global en Bullfy.

AI adoption among business leaders is facing significant skepticism, as a recent survey by Workato and Harvard Business Review revealed that only 6% of over 600 tech leaders expressed full confidence in AI agents managing essential processes. Despite this lack of trust, 86% of respondents indicated plans to invest more in AI technology over the next two years. Key challenges hindering widespread adoption include cybersecurity concerns, data quality issues, and the readiness of business processes for automation. This situation highlights a critical gap between the desire for AI integration and the actual trust in its capabilities.Further research published in the journal Science indicates that chatbots can significantly influence users' beliefs and opinions, raising governance concerns. The study, which involved nearly 77,000 adults in the UK, found that the persuasiveness of chatbots is influenced more by their post-training modifications and the density of information provided than by the size of the model. Additionally, an experiment by SAP revealed a bias against AI in consulting, where consultants rated AI-generated work lower than that produced by junior interns, despite both outputs being equally accurate. This suggests that psychological factors, rather than technical limitations, are a primary barrier to AI acceptance.The episode also discusses the introduction of a new location tracking feature in Microsoft Teams, which aims to facilitate collaboration in hybrid work environments but raises privacy concerns. A survey indicated that one-third of companies are using monitoring software, which can negatively impact employee morale. Furthermore, Coalition, a cybersecurity insurer, has begun offering coverage for incidents involving deepfakes, reflecting a shift in the risk landscape as synthetic media becomes more prevalent in cybercrime.For Managed Service Providers (MSPs) and IT service leaders, these developments underscore the importance of focusing on trust, governance, and process design rather than merely implementing AI tools. As younger leaders demand personalized AI solutions, MSPs must adapt to this shift by enhancing their documentation and identifying predictable workflows suitable for automation. The evolving landscape of AI and cybersecurity risks necessitates that MSPs position themselves as trusted advisors, guiding clients through the complexities of technology adoption and risk management. Four things to know today00:00 New Research Reveals AI's Trust Gap: Low Confidence, High Influence, Professional Bias, and Rising Expectations From Younger Leaders05:53 Teams' New Location Tracking Highlights Tension Between Hybrid Coordination and Workplace Surveillance Risks07:57 Deepfake Coverage Enters Cyber Insurance as Insurers Signal Rising Human-Trust Risk for SMBs and MSPs10:17 iFixit's FixBot Highlights the Coming Divide Between Organized MSPs and Those Unready for AI-Driven Support This is the Business of Tech.    Supported by:  https://saasalerts.com/mspradio/ 

Most large enterprises rely on a handful of expansive technology platform solutions to run their business, and the most prominent and widely deployed in oil and gas is SAP. As I've outlined in my books, enterprise solutions such as SAP are also migrating to digital technologies, which triggers a major question: what is the optimal upgrade path for an SAP customer, or any enterprise technology, to adopt? Broadly speaking, there are two strategies to this vexxing question: a brownfield migration or "lift and shift" and a greenfield re-implementation or "start afresh". The problem is that brownfield upgrades rarely deliver any ROI while greenfield is seen as too risky, costly, or complex to execut, especially at the global scale one encounters among the oil and gas majors. Is there a third path, where organizations can preserve their historical data, stay compliant, and still deliver tangible business outcomes? In this episode I speak with Don Mahoney,  Global Head of Products and Innovation at SNP Group about a new approach, coined 'bluefield'. Bluefield lets companies dial in just the right amount of transformation, one that preserves key data, avoids excessive risk, and achieves a positive ROI. I'm very interested in how Bluefield works, how it supports AI training strategies, when to use it, and why it's becoming an attractive model for SAP S/4HANA transitions, and indeed all major platform solution transformations. 

If you like what you hear, please subscribe, leave us a review and tell a friend!

Les agents IA permettent aujourd'hui une "hyper-automatisation" des tâches en entreprise. C'est la mission que s'est fixée la startup française MindflowInterview : Evan Bourgouin, Directeur des opérations de MindflowL'hyper-automatisation agentique, concrètement, qu'est-ce que cela change pour les entreprises ?Nous automatisons les tâches répétitives dès qu'un humain, un ordinateur et un processus entrent en jeu. Beaucoup d'organisations utilisent déjà des services comme AWS, Microsoft Azure ou encore Salesforce et SAP, mais ces systèmes restent souvent isolés.Chez Mindflow, notre obsession, c'est l'intégration : connecter chaque service, chaque opération, au niveau le plus granulaire.Sur cette base, nous automatisons des processus dans la cybersécurité, l'IT ou les ressources humaines — par exemple l'onboarding d'un collaborateur, la création d'accès, de rôles, de comptes sur des outils comme Jira ou un CRM. Ce sont des tâches indispensables, mais pas celles où la valeur humaine est la plus forte.Quel est l'impact sur la cybersécurité et la charge des équipes ?Dans la cybersécurité, recevoir 100 alertes par jour sur un SIEM comme Splunk ou Microsoft Sentinel est devenu courant. Avec une équipe restreinte, une partie finit forcément par ne pas être traitée.Nous automatisons donc une part de ces réponses, tout en gardant l'humain dans la boucle.Cela change radicalement le quotidien : c'est un secteur où l'épuisement professionnel est très élevé. Les jeunes analystes arrivent et se font submerger par les tâches répétitives. En retirant cette charge, on leur permet de se concentrer sur l'analyse et la résolution de nouvelles menaces.Les utilisateurs vont du C-level jusqu'à l'alternant : chacun retrouve une capacité à créer, à améliorer son travail, en s'appuyant sur la plateforme.Automatisation ou agentique : comment expliquer la différence ?L'automatisation est déterministe : même input → même output.L'agentique, elle, adapte son comportement en fonction du contexte — par exemple une alerte différente sur ServiceNow ou une anomalie détectée dans un ERP. Mais on n'a pas besoin d'IA partout : certaines entreprises ne souhaitent pas envoyer leurs données dans des modèles d'IA pour des raisons de confidentialité.La vraie différence, c'est que nous avons résolu le problème de l'intégration, ce qui fait de Mindflow « l'IA du dernier kilomètre ». Une fois qu'on sait se connecter à AWS, Azure, Salesforce, Jira, un ERP ou un data lake, l'agent peut vraiment agir. Sans intégration, rien n'est possible.Comment une entreprise démarre-t-elle un projet d'automatisation ?Tout commence par une volonté interne et une culture favorable. Avec nos clients — souvent de grands groupes comme LVMH, Hermès, Thales ou Auchan — nous réalisons un état des lieux : où sont les goulots d'étranglement, quelles équipes sont surchargées, quels profils veulent devenir "builders".Une fois l'intégration réalisée, tout s'accélère. Les quick wins sont fréquemment dans la cyber, l'IT ou le support opérationnel, mais chaque entreprise a ses propres cas d'usage, même si elles utilisent parfois les mêmes outils.-----------♥️ Soutien : https://mondenumerique.info/don

On this Live Greatly podcast episode, Kristel Bauer sits down with "Courage Catalyst" Dr. Margie Warrell, six-time bestselling author of The Courage Gap.  Kristel and Margie discuss how to navigate being an insecure overachiever and how to build courage. Tune in now!  Key Takeaways From This Episode: A look into being an insecure overachiever and how to overcome it Tips to build courage within ourselves A look into Dr. Warrell's book, The Courage Gap ABOUT DR. MARGIE WARRELL Dr. Margie Warrell is a six-time bestselling author, leadership advisor, keynote speaker, and "courage catalyst" bringing deep insight into human and organizational behavior to foster braver leadership and better outcomes.  Dr. Warrell has gained profound insights on managing fear, navigating risk, and embracing change since her childhood in rural Australia. Thirty years of living and working around the world—from Papua, New Guinea to Singapore—have provided her with a globally grounded perspective on navigating risk and overcoming the barriers that stifle potential in individuals and organizations. Drawing on her doctoral research and experience in coaching and Fortune 500 consulting, Dr. Warrell is a trusted advisor across private and public sectors, helping to embolden braver leadership and cultivate forward-thinking "cultures of courage" that counter change resistance, foster learning, and accelerate growth. Organizations such as NASA, Dell, Morgan Stanley, SAP, Novartis, the UN Foundation, HP, Google, and Johnson & Johnson have sought her expertise.  Author of the new book, The Courage Gap, Dr. Warrell is renowned for her ability to bridge the "head and heart" as a writer and speaker. She has also co-authored two other books with Stephen Covey, Ken Blanchard, and Jack Canfield. Her interviews with leaders and luminaries—including Bill Marriott, Richard Branson, and Amy Edmondson of Harvard Business School—inform her thought leadership, which she shares through her global top 1.5% podcast, Live Brave, Forbes column, and leading media outlets such as CNN, Bloomberg, and the WSJ. Dr. Warrell's commitment to "braver leadership for a better world" extends to advising US Congressional Chiefs, McCain Global Fellows, and emerging female leaders in burgeoning democracies. A passionate advocate for women in leadership, she has served on numerous government roundtables, co-led Korn Ferry's Power of All initiative to advance more women to C-suite and board tables, and been Senior Partner in their CEO & Leadership Institute. Connect with Dr. Warrell Order Dr. Warrell's book: https://a.co/d/81cuf2F  Website: https://margiewarrell.com/  Linkedin: https://www.linkedin.com/in/margiewarrell/  Instagram: https://www.instagram.com/margiewarrell/  About the Host of the Live Greatly podcast, Kristel Bauer: Kristel Bauer is a corporate wellness and performance expert, keynote speaker and TEDx speaker supporting organizations and individuals on their journeys for more happiness and success. She is the author of Work-Life Tango: Finding Happiness, Harmony, and Peak Performance Wherever You Work (John Murray Business November 19, 2024). With Kristel's healthcare background, she provides data driven actionable strategies to leverage happiness and high-power habits to drive growth mindsets, peak performance, profitability, well-being and a culture of excellence. Kristel's keynotes provide insights to "Live Greatly" while promoting leadership development and team building.   Kristel is the creator and host of her global top self-improvement podcast, Live Greatly. She is a contributing writer for Entrepreneur, and she is an influencer in the business and wellness space having been recognized as a Top 10 Social Media Influencer of 2021 in Forbes. As an Integrative Medicine Fellow & Physician Assistant having practiced clinically in Integrative Psychiatry, Kristel has a unique perspective into attaining a mindset for more happiness and success. Kristel has presented to groups from the American Gas Association, Bank of America, bp, Commercial Metals Company, General Mills, Northwestern University, Santander Bank and many more. Kristel has been featured in Forbes, Forest & Bluff Magazine, Authority Magazine & Podcast Magazine and she has appeared on ABC 7 Chicago, WGN Daytime Chicago, Fox 4's WDAF-TV's Great Day KC, and Ticker News. Kristel lives in the Fort Lauderdale, Florida area and she can be booked for speaking engagements worldwide. To Book Kristel as a speaker for your next event, click here. Website: www.livegreatly.co  Follow Kristel Bauer on: Instagram: @livegreatly_co  LinkedIn: Kristel Bauer Twitter: @livegreatly_co Facebook: @livegreatly.co Youtube: Live Greatly, Kristel Bauer To Watch Kristel Bauer's TEDx talk of Redefining Work/Life Balance in a COVID-19 World click here. Click HERE to check out Kristel's corporate wellness and leadership blog Click HERE to check out Kristel's Travel and Wellness Blog Disclaimer: The contents of this podcast are intended for informational and educational purposes only. Always seek the guidance of your physician for any recommendations specific to you or for any questions regarding your specific health, your sleep patterns changes to diet and exercise, or any medical conditions.  Always consult your physician before starting any supplements or new lifestyle programs. All information, views and statements shared on the Live Greatly podcast are purely the opinions of the authors, and are not medical advice or treatment recommendations.  They have not been evaluated by the food and drug administration.  Opinions of guests are their own and Kristel Bauer & this podcast does not endorse or accept responsibility for statements made by guests.  Neither Kristel Bauer nor this podcast takes responsibility for possible health consequences of a person or persons following the information in this educational content.  Always consult your physician for recommendations specific to you.

In this episode of the Daily, we break down the severe supply chain disruptions occurring as blockades choke Mexico's border trade as farmers and truckers escalate unrest, stranding thousands of truckloads and causing billions in unrealized exports. We also analyze the market outlook as Morgan Stanley sees a supply-side 'spark' for trucking in 2026, predicting that regulatory crackdowns on drivers will significantly tighten capacity and raise rate floors. The conversation turns to safety and compliance, highlighting commentary that the trucking industry needs better crash data to fix critical flaws in how carriers are vetted for liability. Simultaneously, regulators are embracing new technology, as Feds OK automation and say railroads can make fewer visual track safety checks, a move intended to increase efficiency despite union concerns about risk. On the innovation front, we discuss a milestone deployment as the sand must flow: Aurora's driverless fleet hits Permian roads to autonomously haul frac sand for more than 20 hours a day. We close with a look at the intellectual property war in logistics software, where o9 Solutions accuses SAP of trade secret theft in a high-stakes supply chain software dispute, alleging former executives stole thousands of files to boost a competitor's AI capabilities. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Daniel Lereya (Chief Product and Technology Officer @ Monday.com) shares how they are evolving their engineering roles from developers to builders & system designers, where the lines between product, engineering, and design are intentionally blurred, and developers manage AI Agents as team members, tackling an ever-expanding list of projects. We explore the shift from "developer" to "system designer" and why managing AI agents requires the same skills as managing people. Plus, a case study where the Monday.com team leveraged AI agents to decompose a monolith, autonomously manage the project board and assign strategic / high-risk tasks to humans. ABOUT DANIEL LEREYADaniel Lereya has served as Chief Product and Technology Officer at monday.com since 2023. In this role, he focuses on advancing monday.com's multi-product vision and operational efficiencies while driving execution to support company growth. Previously, he was Vice President of R&D and Product, leading global teams in shaping and executing the company's product strategy through innovation and technology. Before joining monday.com, Daniel held leadership and engineering roles at IBM and SAP. SHOW NOTES:The three core principles of monday.com's culture: Ownership, Transparency, and Speed of Execution (3:59)How AI acts as an accelerant to implement these cultural principles at scale (8:36)Why the “Developer” role is evolving into a “Strategic Builder” and “System Designer” (13:47)Breaking silos: How the “Builder” role blurs the lines between product, engineering, and design (17:13)Real-world example: A designer using AI to submit code and fix UI issues independently (19:09)Case Study: The “Agent Factory” & how a weekend prototype by one leader shifted the product roadmap (21:25)Operationalizing transparency: Using internal tools (“Big Brain”) to align every builder on daily business impact (25:58)The “Kickoff Meeting” framework: A strict protocol for falling in love with the problem, not the solution (32:26)The new management paradigm with AI agents as team members (37:31)Rapid fire questions (42:09) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it really take to lead in an age of constant disruption, artificial intelligence, and cultural change?In this powerful episode of  The Leadership Launchpad Podcast - The Legacy Edition, Susan Hobson and Tracey Allen sit down with Michael Tremblay, President & CEO of CANARIE and Chair of the Ottawa Hospital Board, to unpack the real foundations of high-trust leadership, culture transformation, and future-ready decision making.From his eye-opening Microsoft culture experience to leading national innovation initiatives in Canada, Mike shares raw insights on:Why trust is the ultimate performance multiplierHow to spot real leadership under pressureWhat most leaders get wrong about culture and valuesHow AI is reshaping leadership, decision-making, and organizationsWhy the “inner kingdom” (middle leadership) determines whether change actually sticksThe leadership skills required to survive and thrive beyond 2026You'll also hear powerful future-focused conversations on:AI and workforce transformationHealthcare innovation through network technologyRemote surgery, satellite connectivity, and Canada's innovation pipelineWhy conscious leadership is no longer optionalIf you're navigating uncertainty, disruption, or rapid technological change—this conversation will fundamentally shift how you think about trust, culture, and leadership in the decade ahead.

In this episode of the Daily, we break down the severe supply chain disruptions occurring as blockades choke Mexico's border trade as farmers and truckers escalate unrest, stranding thousands of truckloads and causing billions in unrealized exports. We also analyze the market outlook as Morgan Stanley sees a supply-side 'spark' for trucking in 2026, predicting that regulatory crackdowns on drivers will significantly tighten capacity and raise rate floors. The conversation turns to safety and compliance, highlighting commentary that the trucking industry needs better crash data to fix critical flaws in how carriers are vetted for liability. Simultaneously, regulators are embracing new technology, as Feds OK automation and say railroads can make fewer visual track safety checks, a move intended to increase efficiency despite union concerns about risk. On the innovation front, we discuss a milestone deployment as the sand must flow: Aurora's driverless fleet hits Permian roads to autonomously haul frac sand for more than 20 hours a day. We close with a look at the intellectual property war in logistics software, where o9 Solutions accuses SAP of trade secret theft in a high-stakes supply chain software dispute, alleging former executives stole thousands of files to boost a competitor's AI capabilities. Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the biggest threat to your brand's profitability isn't the next tariff or supply chain disruption, but an outdated playbook that forces you to choose between raising prices on loyal customers or sacrificing your margins?Agility requires more than just reacting quickly to market changes; it requires the intelligence to anticipate them and automate the optimal response. Today, we're going to talk about how leading retail brands are navigating complex economic pressures like tariffs and inflation—not by resorting to the old tactics of deep discounts or across-the-board price hikes, but by deploying AI to create a more resilient and intelligent operation. We'll explore how AI is helping brands maintain pricing stability, turn insights from major shopping events into real-time strategy, and fundamentally shift teams from staring at dashboards to taking automated, margin-protecting actions. To help me discuss this topic, I'd like to welcome, Sai Koppala, CMO at CommerceIQ. About Sai Koppala Sai brings over 20 years of marketing and strategy experience. Before CommerceIQ, he was Chief Marketing & Strategy Officer at SheerID and held leadership roles at Apigee (acquired by Google) and SAP. He holds an MBA from the Kellogg School of Management and a Master's in Electrical Engineering from Arizona State University. Sai Koppala on LinkedIn: https://www.linkedin.com/in/koppala/ Resources CommerceIQ: https://www.commerceiq.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Ryder's linksYouTubehttps://youtube.com/@raisedbygiants?si=zmtzoD5b7az9VnnqPodcasthttps://www.spreaker.com/podcast/raised-by-giants--4895847Forbidden Knowledge Network https://forbiddenknowledge.news/ FKN Link Treehttps://linktr.ee/FKNlinksWe are back on YouTube! https://youtube.com/@forbiddenknowledgenews?si=XQhXCjteMKYNUJSjBackup channelhttps://youtube.com/@fknshow1?si=tIoIjpUGeSoRNaEsDoors of Perception is available now on Amazon Prime!https://watch.amazon.com/detail?gti=amzn1.dv.gti.8a60e6c7-678d-4502-b335-adfbb30697b8&ref_=atv_lp_share_mv&r=webDoors of Perception official trailerhttps://youtu.be/F-VJ01kMSII?si=Ee6xwtUONA18HNLZPick up Independent Media Token herehttps://www.independentmediatoken.com/Be prepared for any emergency with Prep Starts Now!https://prepstartsnow.com/discount/FKNStart your microdosing journey with BrainsupremeGet 15% off your order here!!https://brainsupreme.co/FKN15Book a free consultation with Jennifer Halcame Emailjenniferhalcame@gmail.comFacebook pagehttps://www.facebook.com/profile.php?id=61561665957079&mibextid=ZbWKwLWatch The Forbidden Documentary: Occult Louisiana on Tubi: https://link.tubi.tv/pGXW6chxCJbC60 PurplePowerhttps://go.shopc60.com/FORBIDDEN10/or use coupon code knowledge10Make a Donation to Forbidden Knowledge News https://www.paypal.me/forbiddenknowledgenehttps://buymeacoffee.com/forbiddenJohnny Larson's artworkhttps://www.patreon.com/JohnnyLarsonSign up on Rokfin!https://rokfin.com/fknplusPodcastshttps://www.spreaker.com/show/forbiddenAvailable on all platforms Support FKN on Spreaker https://spreaker.page.link/KoPgfbEq8kcsR5oj9FKN ON Rumblehttps://rumble.com/c/FKNpGet Cory Hughes books!Lee Harvey Oswald In Black and White https://www.amazon.com/dp/B0FJ2PQJRMA Warning From History Audio bookhttps://buymeacoffee.com/jfkbook/e/392579https://www.buymeacoffee.com/jfkbookhttps://www.amazon.com/Warning-History-Cory-Hughes/dp/B0CL14VQY6/ref=mp_s_a_1_1?crid=72HEFZQA7TAP&keywords=a+warning+from+history+cory+hughes&qid=1698861279&sprefix=a+warning+fro%2Caps%2C121&sr=8-1https://coryhughes.org/Become Self-Sufficient With A Food Forest!!https://foodforestabundance.com/get-started/?ref=CHRISTOPHERMATHUse coupon code: FORBIDDEN for discountsOur Facebook pageshttps://www.facebook.com/forbiddenknowledgenewsconspiracy/https://www.facebook.com/FKNNetwork/Instagram @forbiddenknowledgenews1@forbiddenknowledgenetworkXhttps://x.com/ForbiddenKnow10?t=uO5AqEtDuHdF9fXYtCUtfw&s=09Email Forbidden Knowledge News forbiddenknowledgenews@gmail.comsome music thanks to:https://www.bensound.com/ULFAPO3OJSCGN8LDDGLBEYNSIXA6EMZJ5FUXWYNC6WJNJKRS8DH27IXE3D73E97DBecome a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.

"If you don't go on the journey, you risk being left behind. The key is to try, learn, and apply AI in a way that creates real value." - Fang Chang, EVP and Chief Product Officer at SAP AI isn't just another feature on your tech checklist. It's changing the way procurement teams deliver impact… but only for those bold enough to rethink from the ground up.  In this podcast episode, host Philip Ideson speaks with Fang Chang, EVP and Chief Product Officer at SAP, who shares what it looks like to rebuild an established platform like Ariba on a true AI foundation. Fang's team didn't just layer new tech onto old workflows; they tore everything down and rebuilt with AI at the core.  If you've ever asked whether your team should wait for the "next" wave of AI innovation or start learning by doing, this conversation is a must-listen. Fang walks through technical choices, balancing agility with reliability, and what an AI-powered procurement experience now enables for the business. In this episode, Fang discusses: Why simply layering AI onto legacy tools leaves value on the table How to decide where AI creates business outcomes… and where it doesn't What real agility looks like in a fast-evolving AI landscape How contextual "insights to action" bring value at every step The new balance of human oversight with AI-driven workflows Links: Fang Chang on LinkedIn Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Wie fit sind Europas Versicherer wirklich für die KI-Revolution? Im Insurance Monday Podcast diskutieren Herbert Jansky, Sebastian Pitzler und Slobodan Pantelic den steilen Aufstieg von Agentic AI, die Goldgräberstimmung rund um Daten und die Frage: Ist Datensouveränität hinderlich oder der große Trumpf im globalen Wettbewerb?Mut, Mindset und neue Geschäftsmodelle – wir nehmen die Komfortzone auseinander und zeigen, warum offene Daten und innovative Tools wie Frieda über die Zukunft entscheiden. Erfahre, wie Versicherer heute schon mit Multistep Agents echten Mehrwert schaffen, welche Chancen sich für Vermittler und Kunden auftun – und warum Europa dringend mehr als Datenschutz braucht.Ein Podcast für alle, die wissen wollen, ob KI die Kollegin oder Konkurrentin der Zukunft wird. Jetzt reinhören und mitdiskutieren!Schreibt uns gerne eine Nachricht!Dieser Podcast wird von msg unterstützt. Die msg Gruppe ist führender Anbieter im Versicherungsmarkt für moderne Systemlösungen. Von Automation- über KI- und SAP- bis hin zu modernen Kommunikations- und Vertriebslösungen. Die msg bündelt moderne Technologien mit tiefem Branchen Know-How. Folge uns auf unserer LinkedIn Unternehmensseite für weitere spannende Updates.Unsere Website: https://www.insurancemondaypodcast.de/Du möchtest Gast beim Insurance Monday Podcast sein? Schreibe uns unter info@insurancemondaypodcast.de und wir melden uns umgehend bei Dir.Dieser Podcast wird von dean productions produziert.Vielen Dank, dass Du unseren Podcast hörst!

In this CPQ Podcast episode, host Frank Sohn talks with Andreas Westling, CEO and co-founder of Ignize, about how modern AI pricing and CPQ help B2B manufacturers increase EBIT, improve price fairness, and react faster to market volatility. Drawing on more than 20 years of pricing experience,  including his time as CEO of Navetti (acquired by Vendavo). Andreas explains why pricing fundamentals haven't changed, but the way manufacturers execute pricing has transformed. He also shares how Ignize supports mid-market and enterprise manufacturers with complex, multinational pricing operations that require both speed and precision. Andreas introduces Ignize's concept of Generative Precision Pricing (GPP) and the role of the Ignizer, a modern engine that turns pricing expertise into data-driven, explainable recommendations. You'll also hear how Ignize integrates with CRM systems such as Salesforce and Microsoft Dynamics, ERP systems including SAP, Oracle, and legacy platforms, and CPQ solutions like Tacton to deliver consistent, value-based pricing across the commercial stack. We discuss why black-box AI pricing often fails in B2B manufacturing, and why explainability and transparency are essential to earn trust from pricing teams, product managers, sales, and customers. Andreas also outlines what manufacturers can expect from an Ignize implementation. From 8–12 week quick-start value phases to broader enterprise rollouts, and how modern pricing platforms help companies navigate tariffs, commodity swings, currency shifts, and other forms of market disruption. Ignize also operates on an enterprise-grade security foundation, backed by ISO 27001:2013 certification and SOC 2 Type II compliance, ensuring that sensitive pricing and commercial data is handled with the highest standards of information security and compliance. If you're interested in CPQ, B2B pricing, or how AI can strengthen price quality, win rates, and overall financial performance, this episode is for you.

At ASUG Tech Connect 2025, Jon Reed, Josh Greenbaum, and ASUG CEO/Chief Community Champion Geoff Scott took the hot seats for 30 minutes of "ask us anything" audience questions on the show floor. We kick off the podcast with reactions to the show, before turning it over to a series of very sharp audience questions from customers, including issues of data licensing/access, and SAP public cloud ERP and industry readiness. ASUG Talks Senior Producer, Jim Lichtenwalter, also had top submitted questions from attendees ready for us as well (look out for a follow-on podcast with more of those questions in the new year). Note: this on-site podcast was an ASUG-diginomica collaboration, originally released as part of the ASUG Talks podcast series. ASUG produced this podcast audio.

At ASUG Tech Connect 2025, Jon Reed, Josh Greenbaum, and ASUG CEO/Chief Community Champion Geoff Scott took the hot seats for 30 minutes of "ask us anything" audience questions on the show floor. We kick off the podcast with reactions to the show, before turning it over to a series of very sharp audience questions from customers, including issues of data licensing/access, and SAP public cloud ERP and industry readiness. ASUG Talks Senior Producer, Jim Lichtenwalter, also had top submitted questions from attendees ready for us as well (look out for a follow-on podcast with more of those questions in the new year). Note: this on-site podcast was an ASUG-diginomica collaboration, originally released as part of the ASUG Talks podcast series. ASUG produced this podcast audio.

In der heutigen Folge sprechen die Finanzjournalisten Anja Ettel und Holger Zschäpitz über das Microsoft-Barometer und seine Folgen, das Inditex-Luxusproblem und gute Stimmung bei Salesforce. Außerdem geht es um Eli Lilly, AbbVie, Johnson & Johnson, Novo Nordisk, AstraZeneca, Abbott Laboratories, UnitedHealth Group, Bristol Myers Squibb, Dexcom, Align Technology, ResMed, Hims & Hers, JD Health International, iRhythm Technologies, Pro Medicus, Oscar Health, Xtrackers MSCI World Health Care (WKN: A113FD), Amundi S&P World Health Care Screened (WKN: A3DSTC), Franklin Future of Health and Wellness (WKN A3EFKW), Global X Telemedicine & Digital Health (WKN A2QKQ1), Xtrackers MSCI Genomic Healthcare Innovation (WKN: DBX0R2), Agilent, Roche, Vertex, Microsoft, Meta, Alphabet, Amazon, Nvidia, Salesforce, SAP, Snowflake, Inditex, H&M, Next, LVMH, Hermès, Aumovio, TKMS, Hellofresh, Gerresheimer, Ottobock, Tonies, PSI Software, Verbio, LPKF, Stratec, Thyssenkrupp Nucera, Procredit, Amadeus Fire, Bayer, BASF, Corteva, Syngenta, Formycon und PNE. Die aktuelle "Alles auf Aktien"-Umfrage findet Ihr unter: https://www.umfrageonline.com/c/mh9uebwm 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 und AAA-Newsletter.[ 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] (https://open.spotify.com/playlist/6zxjyJpTMunyYCY6F7vHK1?si=8f6cTnkEQnmSrlMU8Vo6uQ) findest Du die Samstagsfolgen Klassiker-Playlist auf Spotify! 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

Send us a textThis week's enterprise technology updates highlight major movements across ERP support, AI automation, testing, analytics, and workflow orchestration. Rimini Street extended support for all SAP ECC 6.0 and S/4HANA releases through 2040, offering long-term stability for organizations navigating SAP's transition timeline. Zencoder launched Zentester, an AI-powered end-to-end testing agent designed to transform vibe coding into enterprise-grade engineering, while Acorn secured $12.3 million in Series A funding to accelerate its growth. Algolia introduced its MCP Server to empower developers, and Aravo enhanced its Evaluate Engine with new features to strengthen risk and compliance workflows. Avetta rolled out upgrades to the Avetta One platform, and Orbit Analytics expanded its GL Sense solution with new capabilities. Pipefy launched AI agents tailored for HR teams, Advantive released a new version of its statistical process control solution, and Aquant detailed its retrieval-augmented conversation technology—together showcasing how AI, automation, and modernization continue reshaping every layer of the enterprise software ecosystem.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=06EUjRBLHDAQuestions for Panelists?

The Department of Heath and Human Services has been leaning into the use of artificial intelligence to drive better health outcomes for the American public, highlighted by the rollout of ChatGPT across the agency early this fall. In particular, the Centers for Disease Control and Prevention has been a leader in generative AI adoption since 2023. And Travis Hoppe, CDC's chief AI officer, believes AI innovation can continue to move the needle on public health operations. Hoppe joined me recently onstage at FedTalks to share the latest on CDC's AI journey, how the Trump administration's AI Action Plan is guiding the agency's implementation and what's next. The National Nuclear Security Administration is looking for information on potential AI uses for its mission, following an executive order to establish an integrated AI platform that will fuel scientific discovery. In a request for information posted to SAM.gov on Monday, the Department of Energy subcomponent that oversees the nation's nuclear stockpile said it's exploring the use of the budding technology, and specifically requested information about its use in classified environments, best practices for data curation, and how to approach developing and enhancing AI models, among other things. The request comes just a week after the Trump administration launched the “Genesis Mission,” aimed at scientific discovery through AI. That effort will not only create an AI platform for such discovery, but it will also depend on the country's existing research and development infrastructure, including DOE and its national labs. To further the Genesis program, NNSA said it's proactively exploring the use of AI for its “critical operations to accelerate nuclear weapons development timelines, ensuring our deterrent remains responsive, effective, and state-of-the-art against evolving global threats.” Software company SAP inked a new agreement with the General Services Administration to offer federal agencies access to its services at significantly discounted rates, deepening its longstanding partnership with the federal government. The GSA announced the OneGov deal Tuesday, stating that the agreement offers up to 80 percent discounts on SAP's database, cloud, and analytics services. The agency estimated this will lead to $165 million in savings for federal agencies. Specifically, agencies will be able to access products related to SAP's database and data management services with an 80 percent discount. SAP's cloud services, including SAP Business Technology Platform, SAP Analytics Cloud and HR Payroll, will be offered at a 35 percent discount, GSA said. Also in this episode: Databricks VP of Public Sector Todd Schroeder joins SNG host Wyatt Kash in a sponsored podcast discussion on why agencies are prioritizing the use of AI that works across existing data environments, saving time and infrastructure costs. This segment was sponsored by Databricks. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

On this episode of the Environmental Transformation Podcast, host Sean Grady speaks with Enviro Apps co founder Amit Bhargava live at the EHS Hazmat Summit. Bhargava explains how his platform streamlines digital hazardous waste and dangerous goods documentation, improves emergency response times, reduces administrative burden, and helps shippers and carriers save money. He also discusses regulatory hurdles, SAP integrations, sustainability features, and real time data access for emergency responders. Thanks to our Sponsors for their support of the podcast: WASTELINQ, Cascade Environmental, E-Tank

In today's Cloud Wars Minute, I analyze why Workday's $26B RPO signals strong future momentum in the face of SAP and Oracle.Highlights00:15 — Very nice Q3 that Workday recently finished here. Great revenue growth for the quarter ended October 31 — up 15% to about $2.25 billion. 17% growth for its total RPO, to about $8.2 billion. It's been cranking up the innovation engine there at Workday. Small AI-specific acquisitions over the last year or two have really been adding to this so customers have more to buy.01:16 — CEO Carl Eschenbach made key points. Broadly, everybody sees the potential of AI, but he said most customers find they're stuck with fragmented systems. He said they have bad data, and he said they're not sure that they have the right platforms to work with. Workday believes that its AI solutions can come in and directly address all of those things.02:00 — He said, "We want to be the new front door to work." He's bringing together three significant components to be able to do that. He said that's enterprise knowledge, a new generation of agents that address some of the most pressing business requirements, and also the HR and financial processes that Workday has helped customers to track for the last 20 years.03:10 — It wants to be AI-first. With everything it's doing, it's making things as open as possible. It's trying to make things as simple for its customers as it can. These are important differentiators for Workday as it's up against two much larger competitors, SAP and Oracle. Its future pipeline is strong. Customer demand is there. Confidence is there. Visit Cloud Wars for more.

Bryan這集邀請 Deloitte 勤業眾信 SAP 資深顧問 Ingrid 和 Zuriel，聊聊 ERP 顧問這一行的真實樣貌。從管理系統實施、維運到技術協作，各種角色怎麼分工？為什麼不會寫程式、甚至不是資訊背景，只要學得快、問對問題，也有機會做到跨國專案、常到國外出差？兩位顧問也分享被大數據追著跑、安撫用戶情緒的第一線經驗，以及顧問業最看重的關鍵能力與職涯發展想像。如果你對顧問這一行感到好奇，甚至想要嘗試這一類工作機會，千萬不要錯過這一集的訪談。 【本集節目由 大人學 & 勤業眾信顧問業務服務 SAP 團隊 聯合製作】 Deloitte Taiwan 顧問業務服務團隊歡迎各類背景的人才加入，無論你是剛踏入職場的新秀，還是希望突破專業侷限的資深顧問，這裡都提供舞台讓你發揮影響力！歡迎投遞履歷，讓我們一同共創不凡！