Podcasts about SharePoint

The boys start off with an AI created intro, Marijn gets winded up about the use of "and honestly" he sees everywhere, Steve talks about lady gardens, but they are interrupted by a ruckus on the street. Thank goodness there is a Danish Dirty Bastard!

(Disclaimer: erstellt mit ChatGPT)Hallo liebe Community,

A new way to organise your OneDrive shortcuts as you create them. An agent that helps you plan with natural language. And the new Anthropic model, Claude Fable 5... yeah, about that...!? 0:00 Welcome 2:20 OneDrive: New Shortcuts folder option when adding shortcuts - MC1385585 9:03 Microsoft Teams: Governance for built-in agents in the Teams admin center - MC1387573 11:58 Microsoft 365 Backup: Full workload backup for SharePoint, OneDrive, and Exchange - MC1387526 16:32 Microsoft Planner: Planner Agent chat coming to Frontier - MC1387810 22:16 Anthropic Claude Fable 5 available in Copilot Cowork (Frontier) - MC1387806 28:01 Microsoft Teams: Granular channel notification settings - MC1388719

Use enhanced Teams panels to book desks. Be aware that OneDrive retention will be enforced soon for unlicensed OneDrive accouts. Lastly, Microsoft Scout, powered by Open Claw, enters the AI scene. 0:00 Welcome 3:26 SharePoint Pages: Updates to the Toolbox within the Content pane - MC1326507 7:00 Pay-as-you-go consumption-based meter for your extra SharePoint storage needs - MC1330893 11:17 Microsoft Teams: Enhanced bookable desk experience with Teams panel based desk devices - MC1330887 14:47 OneDrive: Retention enforcement for unlicensed OneDrive accounts - MC1381110 22:56 Microsoft 365 Copilot: Introducing Microsoft Scout, an always-on personal agent - MC1332811

Unmet generative AI promises, flatlining ROI dashboards, and a relentless corporate appetite for unguided technological progress. By all logic, one would assume we'd take a strategic pause to change course and build foundational human competence. Instead, in a desperate panic, we're witnessing the birth of "AI agent sprawl,” autonomous activity deployed without a map, GPS, or off-switch.  This week, I examine what happens when companies try to use autonomous AI as a strategic shortcut to force unfulfilled promises into reality, and how it's fracturing their operational architectures and budgets. You'll see why we have to move past the open-ended rollout hype, put a full stop on unmanaged agental capabilities, and install strict human oversight mandates before these tools trigger a catastrophic bottom-line crisis.  My goal is to get you off cruise control by highlighting the following opportunities to protect yourself and your organization:​Deconstructing the Autonomy Sliding Scale: We need to stop treating AI agents like a mythical, binary technology that just arrived from space. Autonomy is a volume knob we've been turning up for decades. The real danger occurs when you spin that dial to a ten, completely relinquishing task-by-task control to a digital intern running continuously on autopilot without verifying if your structural architecture can handle the noise.  ​Exposing the SharePoint Trap with Fangs: In the cloud migration era, corporate America turned on SharePoint thinking "what's the harm," only to create an unmanaged jungle of duplicate data and orphaned sites that acted as a silent productivity torpedo. Agent sprawl is that exact same mistake on steroids because a messy SharePoint folder couldn't rewrite your product codebase, communicate with your clients, or execute legally binding corporate spend decisions. Agents can, and left running on autopilot after an employee leaves, they become an invisible, permanent liability.  ​Halting the Autopilot Spend Shock: The financial consequences of ungoverned agent loops are hitting corporate balance sheets hard, mimicking the familiar spend shock of dictionary-thick cell phone bills from the early 2000s. I highlight some recent examples like Uber vaporizing its entire annual AI budget in four months due to recursive agent rework loops, Microsoft aggressively clawing back developer licenses, and a jaw-dropping $500 million single-month bill racked up by an enterprise trapped in an infinite loop.  By the end, I hope you're convinced the solution isn't about stopping technology. It's about halting the wide-scale rollouts to reinvest heavily in human AI competence. We must move past the vendor hype, place the right people in the right loops at the right times, and establish the disciplined guardrails required to surgically agentize our operations safely.  ⸻If this conversation was helpful, make sure to like, share, and subscribe. You can also support the show by buying me a coffee at ⁠https://buymeacoffee.com/christopherlind⁠  And if your organization is wrestling with how to balance performance, technology, and people, see how I can help at ⁠https://christopherlind.co⁠  ⸻Chapters00:00 – From Tokenmaxxing to the Silent Epidemic of Agent Sprawl03:00 – The Strategic Shortcut: Why More AI Doesn't Fix Flatline Hype04:30 – Demystifying the "Agent" Tech Jargon10:30 – The SharePoint History Lesson: Anarchy in the Cloud16:15 – The 2026 Spend Shock: Inside the Uber and Microsoft Budget Crises19:50 – The Contrarian Position: Why I Discourage Wide Agent Rollouts21:45 – Action 1: Applying the Full Stop to Enterprise Agental Capabilities23:00 – Action 2: Shifting Tech Budgets to Human AI Competence24:15 – Action 3: Involving Power Users for Surgical Agentization27:00 – Conclusion: Autonomous Operational Self-Termination  #AgentSprawl #AIStrategy #OpEx #TechTrends #FutureFocused

Mermaid Du vet det där flödesschemat som ingen uppdaterat på två år, som bara en person kan redigera och som ingen hittar när det väl behövs? Mermaid är svaret på precis det problemet: Istället för att rita diagram skriver du dem, som några rader text. Det smarta är att Mermaid redan finns inbyggt där du jobbar — GitHub, Azure DevOps, Loop och allt fler Markdown-ytor — och att Copilot gärna svarar med just Mermaid-kod när du ber om ett diagram. Resultatet: diagram du faktiskt äger, kan ändra med ett enda ord, och som slutar ruttna i en bortglömd fil. Och ja, vi förklarar hur man ritar ett diagram i en podd där du inte kan se en enda bild. AI-skolan, del 2:  Vad är en agent? "Agent" är på väg att bli ett av de mest använda, och mest urvattnade, orden i hela Microsoft 365. Copilot-agenter, Agent Store, agenter i Teams och SharePoint, Agent 365: när ett ord börjar betyda allt riskerar det att till slut betyda ingenting. I del 2 av AI-skolan reder vi ut vad en agent faktiskt är: Något som får ett mål, fattar egna beslut och kan agera, och varför det är något helt annat än den Copilot-chatt du redan använder. Du får skillnaden förklarad med ett konkret exempel, en rundtur i var du möter agenter i M365 redan idag, och viktigast av allt: de tre frågorna du ska ställa nästa gång någon vill sälja in "en agent" till din verksamhet. Nyheter Som vanligt rundar vi av med några av de viktigaste nyheterna från Microsoft 365 

Today’s headline news for Canadian IT solution providers: HPE Discover 2026 kicks off: HPE Discover 2026 opens today at The Venetian in Las Vegas with the Partner Growth Summit, the partner-exclusive day that precedes the main conference. The General Session – “The Power of One” – is led by HPE channel head Simon Ewington and focuses on HPE’s unified partner strategy under the HPE Partner Ready Vantage program, spanning networking, cloud, and AI. This is the first Partner Growth Summit since HPE’s $14 billion Juniper Networks acquisition closed, and HPE is presenting partners with a fully unified portfolio story for the first time. ChannelBuzz.ca is on the ground all week: Tuesday’s Buzz will feature a full Partner Growth Summit recap, and In The Channel this week features a multi-part series with Jeremiah Jenson, HPE’s vice president of North America channel and partner ecosystem, covering the Discover announcements in depth. Cato Networks launches integration hub: Cato Networks has launched a new Technology Partner Program and a Platform Integration Hub, debuting with more than 100 out-of-the-box integrations with third-party security, cloud, and networking solutions. The SASE provider says the program is designed to simplify how partners and customers connect Cato’s platform with existing enterprise technology stacks. The move is significant for Canadian MSPs and MSSPs: a robust integration catalog reduces the custom API work that often slows deployment and increases delivery costs, making it easier to position Cato alongside the broader tools in a customer’s security environment. Checkmarx flags CISO compliance pressures: A new 2026 Future of Application Security Report from Checkmarx, based on a survey of more than 2,000 developers and CISOs, found that 95 per cent of CISOs report being pressured to suppress or delay compliance-related security issues when business deadlines loom. The research also highlights how AI-generated code is expanding the attack surface faster than many security teams can manage. For Canadian MSSPs, the data reinforces the value of independent, third-party security oversight – and the case for structured application security as a managed service. Dataminr and TD SYNNEX partner on AI cyber defense: Dataminr has signed a strategic distribution agreement with TD SYNNEX, making Dataminr for Cyber Defense available to more than 35,000 North American resellers. The platform combines external risk signals with internal telemetry to help security teams prioritize threats in real time. For Canadian partners already working with TD SYNNEX, the deal adds an AI-driven threat intelligence offering to the distributor’s security portfolio at a time when customers are asking for earlier warning around cyber risk. inforcer launches Microsoft 365 TDR platform: inforcer has launched inforcer Threat Detection and Response, a new platform that gives MSPs a single environment to manage detection, incident response, and reporting across the full Microsoft 365 estate – including Entra, Defender, Purview, Teams, and SharePoint. According to the company, the platform’s advantage is its existing policy and configuration context for each tenant, which it says allows the detection engine to separate real threats from alert noise. The product launched in early access at Pax8 Beyond last week. ConnectSecure introduces Patch 360: ConnectSecure has launched Patch 360, a patch management solution designed specifically for MSPs. According to the company, the platform gives MSPs more control over patch prioritization, testing, and approval workflows, and is designed to reduce deployment risk while accelerating patching across operating systems and third-party applications. NetRise launches Discovery Partner Program: Software supply chain security firm NetRise has launched the Discovery Partner Program for VARs, MSSPs, distributors, and systems integrators. The program provides partners access to the NetRise Platform, which analyzes compiled software artifacts – including binaries, firmware, and containers – to identify components and risks that may not appear in source-code scans or vendor-provided SBOMs. NetRise is positioning the program as a way for partners to address growing customer demand for independent software supply chain verification. Read Full Transcript This episode of The Buzz is brought to you by HPE Discover 2026. HPE Discover runs June 15 to 18 at The Venetian in Las Vegas. Discover what’s next at hpe.com/discover. Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Monday, June 15th, and here’s what’s happening in the channel today. The biggest event on HPE’s calendar opens today at The Venetian Convention and Expo Center in Las Vegas, and ChannelBuzz.ca is on the ground for the full week. But before the main conference opens to the broader audience tomorrow, today belongs exclusively to the channel. The HPE Partner Growth Summit – the partner-only day that kicks off Discover week – is underway as you’re hearing this. The centrepiece is the General Session called “The Power of One,” led by HPE channel head Simon Ewington alongside a lineup of HPE senior executives. The name captures the message HPE is sending its partner ecosystem heading into the back half of 2026: one comprehensive portfolio, one unified program under HPE Partner Ready Vantage, and one integrated experience across networking, cloud, and AI. The afternoon breakout agenda is dense – covering GreenLake and hybrid cloud, Aruba networking with AI, monetizing accelerated compute and agentic workloads, and HPE’s evolving service provider story. It’s also worth noting the context: this is the first Partner Growth Summit since HPE’s $14 billion acquisition of Juniper Networks cleared regulatory review and officially closed. Partners are getting their first look at a fully unified networking and compute story from a company that can now tell it cleanly. We’re bringing you the announcements as they happen all week.  In just a couple of hours on In The Channel, I’ll help you get ready for Discover, as I preview the event with the help of none other than Jeremiah Jenson, HPE’s vice president of North American channel and partner ecosystem.  Tomorrow on The Buzz, we’ll have all the news from Partner Growth Summit, and tomorrow’s In The Channel will also feature Jenson, as we take a deeper dive into the HPE’s partner programs and where he sees the biggest opportunities for the channel right now. Be sure to stick with us all week as we bring you full coverage from Vegas. Cato Networks is expanding its ecosystem with the launch of a new Technology Partner Program and a Platform Integration Hub. The SASE provider says the hub debuts with more than 100 integrations out of the box, offering streamlined connectivity with third-party security, cloud, and networking solutions. According to Cato, the program is designed to simplify how partners and customers integrate its platform with existing enterprise technology stacks, reducing friction and speeding up deployments. A vendor-led integration effort at this scale matters for the channel. As enterprise environments grow more layered and complex, MSPs rely on platforms that connect cleanly to an existing stack rather than requiring months of custom API work. Out-of-the-box integrations mean less time troubleshooting compatibility and more time delivering security outcomes to clients. It’s worth noting that Cato’s channel chief said earlier this year that seven out of ten deals the company closes are already partner-led. A stronger integration story could deepen that dependence on the channel by making it easier for MSPs and MSSPs to position Cato alongside the other tools in a customer’s security stack. A report released last week by application security vendor Checkmarx is putting hard numbers on a dynamic that security-focused channel partners have likely been seeing for some time. The 2026 Future of Application Security Report, based on a survey of more than 2,000 developers and CISOs, found that 95 per cent of CISOs say they have been pressured to suppress or delay compliance-related security issues when business deadlines loom. Compounding the problem: the adoption of AI-generated code is accelerating, which Checkmarx says is multiplying the attack surface in production environments faster than many security teams can manage. The business case for external, independent security oversight has rarely been clearer. When internal security leaders are being overruled on vulnerability management, an MSP or MSSP operating as a neutral third party – accountable to security outcomes rather than product launch timelines – steps into a genuine gap. The data also validates the case for application security as a structured managed service. As AI-generated code becomes standard in the development pipeline, organizations that can’t close that gap internally will need to find a partner who can. In Brief – Dataminr and TD SYNNEX have signed a distribution agreement that makes Dataminr for Cyber Defense available to more than 35,000 North American resellers through TD SYNNEX’s channel network.  Security vendor inforcer has launched inforcer Threat Detection and Response, a new platform designed to give MSPs a single environment to manage detection, incident response, and reporting for Microsoft 365.  ConnectSecure has introduced Patch 360, a patch management solution built specifically for MSPs that the company says reduces deployment risk while accelerating patching across operating systems and third-party applications.  NetRise has launched the Discovery Partner Program, targeting VARs, MSSPs, distributors, and systems integrators with software supply chain security capabilities built around compiled binary analysis rather than source code or vendor-provided SBOMs.  Full details and links in the show notes or the blog post. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.

In dieser Folge von nuboRadio sprechen wir über ein Thema, das in fast jedem Intranet-Projekt früher oder später zum Problem wird: Navigation. Viele Unternehmen kennen die Situation: Inhalte sind schwer zu finden, die Orientierung fehlt – und die typische Lösung lautet: mehr Menüpunkte. Doch genau das führt oft zu noch mehr Chaos.

Geschätzte Lesedauer: 14 Minuten Was unterscheidet einen deutschen Vertriebsingenieur von einem amerikanischen Sales-Profi – und was kann der deutsche Mittelstand aus fast zwei Jahrzehnten internationalem B2B-Vertrieb lernen? Genau darum geht es in dieser Folge. Mein Gast Olaf Detlef hat acht Jahre in Shanghai verbracht, dann elf Jahre in den USA – und ist seit Anfang 2025 zurück in Deutschland. Als Geschäftsführer von Kendrion Industrial Brakes bringt er Erfahrungen mit, die kaum jemand im deutschsprachigen Mittelstand so gesammelt hat. Und ich sage dir: Es lohnt sich, genau hinzuhören. Internationaler B2B Vertrieb: Drei Kontinente, drei Lektionen Olaf ist kein Vertriebstheoretiker. Er hat als junger Vertriebler den Finger gehoben, als sein damaliger Arbeitgeber – ein Mittelständler mit 300 Mitarbeitern – einen Aufbau in China suchte. Kein Netzwerk, keine China-Erfahrung und außerdem keine Sprachkenntnisse. Aber er war der Einzige, der sich gemeldet hat. Folglich wurden aus geplanten drei Jahren acht. Danach folgte Amerika – auch dort sollte es drei Jahre werden, doch es wurden elf. Wer in zwei Märkten, die kaum unterschiedlicher sein könnten, erfolgreich Vertrieb aufgebaut hat, der sieht danach das Geschäft in Deutschland mit ganz anderen Augen. Was Olaf mitgebracht hat, ist kein Handbuch. Es ist ein Mindset – und eine Menge konkreter Beobachtungen, die direkt auf den deutschen Mittelstand übertragbar sind. Lass uns die wichtigsten durchgehen. China: Zustimmung im Meeting ist keine Zustimmung im System Die erste große Lektion aus dem internationalen B2B Vertrieb kommt aus Shanghai. Olaf hatte ein vielversprechendes Projekt im Bereich Windkraft. Die Meetings liefen gut, die Stimmung war positiv, der CFO war dabei. Beim anschließenden Abendessen fehlte dieser plötzlich. Und am Ende wurde nicht das komplette System bestellt – sondern nur eine Komponente. Was war passiert? Olaf hatte die Zustimmung im Meeting mit einer echten Entscheidung verwechselt. In China läuft vieles über Gesichtswahrung. Ein „Ja" im Gespräch bedeutet oft nicht mehr als: Ich möchte dich nicht in Verlegenheit bringen. Die eigentlichen Entscheider sitzen im Hintergrund – die sogenannte unbekannte Einkäufergruppe. Und die hat niemand auf dem Schirm gehabt. Das klingt zunächst wie ein China-spezifisches Problem. Tatsächlich ist es das aber nicht. Denn genau dasselbe passiert täglich in deutschen Vertriebsgesprächen. Der Kunde sagt: „Schick mir mal ein Angebot." Daraufhin denkt der Verkäufer: Auftrag in Sicht. Was der Kunde gemeint hat: Ich habe keine Zeit mehr für dieses Gespräch. Der Unterschied ist also nur, dass in Deutschland niemand so höflich ist, es nicht zu sagen – und dass in China niemand so direkt ist, es auszusprechen. „Eine Zustimmung im Meeting bedeutet noch lange keine Zustimmung im System." – Olaf Detlef Stakeholder-Management: Der Spaghetti-Ball, den du verstehen musst Eine der wertvollsten Erkenntnisse aus dem internationalen B2B Vertrieb – und gleichzeitig eine, die im deutschen Mittelstand noch viel zu selten gelebt wird – ist das konsequente Stakeholder-Mapping. Olaf beschreibt, wie sein Team eine Kundenorganisation aufgezeichnet hat und am Ende vor einem Bild stand, das aussah wie ein Spaghetti-Ball. Verwirrend. Undurchsichtig. Kaum zu entwirren. Die entscheidende Frage dabei: Wer muss diesen Spaghetti-Ball eigentlich verstehen? Der Kunde selbst? Meistens weiß der nicht mal genau, wer bei ihm intern alles mitentscheidet. Es ist unsere Aufgabe als Vertrieb, das herauszufinden – und zwar bevor wir in den ersten echten Discovery Call gehen. Ein konkretes Beispiel: Olaf hatte ein Projekt, das praktisch abgeschlossen war. Doch kurz vor Projektabschluss meldete sich plötzlich der Produktionsleiter – den niemand auf dem Schirm hatte, nicht einmal der Kunde selbst. Sein Urteil: So geht das nicht. Folglich kam es zu über einem Jahr Verzögerung. Mein Tipp dazu, den ich auch in Workshops immer wieder bringe: Mach eine Stakeholder-Map. Wie in einem Tatort-Krimi – Fotos an die Wand, Fäden ziehen, fragen: Wen kennen wir noch gar nicht? Wer könnte noch mitentscheiden? Wo fehlen uns Informationen? Tools wie LinkedIn Sales Navigator helfen dabei, Entscheidungsstrukturen zu recherchieren – und gezielt Fragen zu stellen, die den richtigen Ansprechpartner ins Spiel bringen. So baust du deine Stakeholder-Map auf So erstellst du eine Stakeholder-Map für komplexe B2B-Deals Bekannte Kontakte auflisten Notiere alle Personen, mit denen du bereits Kontakt hattest – Name, Rolle, Abteilung. Entscheidungsstruktur recherchieren Nutze LinkedIn Sales Navigator, um herauszufinden, wer an wen berichtet und welche Rollen noch relevant sein könnten. Weiße Flecken markieren Wo fehlen Kontakte? Einkauf, Produktion, Qualität, Geschäftsführung – welche Ebenen hast du noch nicht erreicht? Gezielte Fragen im nächsten Gespräch stellen Frag deinen Ansprechpartner aktiv: „Sollten wir auch Herrn Müller aus der Qualitätssicherung einbeziehen?" – so eröffnest du Türen, ohne aufdringlich zu wirken. Map laufend aktualisieren Stakeholder-Maps sind keine einmalige Übung. Aktualisiere sie mit jeder neuen Information aus Gesprächen, E-Mails und Recherchen. Vom Problem hinter dem Problem: Was chinesische Verhandlungsstrategien uns lehren Olaf hatte in China das Glück, einen Mentor zu finden – einen Deutschen, der in Aachen studiert hatte, fließend Deutsch sprach und beide Kulturen wirklich kannte. Dieser Mentor machte ihn auf eine alte chinesische Verhandlungsstrategie aufmerksam, die heute noch im internationalen B2B Vertrieb angewendet wird: das Feuer vom Kochtopf entziehen. Gemeint ist: Das Wasser kocht – aber du musst nicht das Wasser abkühlen, du musst die Flamme wegnehmen. Übertragen auf den Vertrieb: Was ist wirklich die Ursache des Problems? Was will der Kunde wirklich erreichen? Will er Preisführer werden? Nach Europa exportieren? Netzwerk aufbauen? Die Symptome sind sichtbar – die eigentlichen Ursachen liegen tiefer. Das ist im Grunde das, was ich immer als „Problem hinter dem Problem" bezeichne. Ein Kunde sagt, er braucht eine neue Industriebremse. Okay. Aber warum? Was läuft mit dem aktuellen Lieferanten nicht? Welche Herausforderungen hat er? Und wenn er sagt, er ist mit dem aktuellen Lieferanten super zufrieden – was steckt dann wirklich dahinter? Genau hier liegt der Unterschied zwischen einem Vertriebsingenieur, der Features erklärt, und einem Verkäufer, der wirklich versteht, was der Kunde braucht. Amerika: Geschwindigkeit, Klarheit und der erste Call entscheidet alles Nach acht Jahren China kam für Olaf Amerika. Und der Kulturschock war in gewisser Weise noch größer – weil man glaubt, Amerika zu kennen. Tut man aber nicht. Die USA haben Olaf gelehrt: Im internationalen B2B Vertrieb zählt Geschwindigkeit. Amerikanische Kunden wollen früh wissen, ob eine Lösung grundsätzlich passt. Kein vollständiges Konzept, keine fertige Zeichnung – eine Skizze und eine grobe Preiseinschätzung reichen für einen ersten Orientierungspunkt. Während ein deutscher Ingenieur sagt „Das kann man nicht schätzen, das müssen wir genau berechnen", antwortet der amerikanische Einkäufer innerlich bereits: „Nächster Bitte." Noch entscheidender: In den USA gilt – wenn der erste Call nicht sitzt, bist du raus. Nicht etwa nach dem zweiten oder dritten Gespräch, sondern bereits nach dem ersten. Keine zweite Chance, kein Wiederanlauf. Das klingt zwar hart, bringt aber eine wichtige Konsequenz mit sich: Der Discovery Call muss so vorbereitet sein wie eine Präsentation vor dem Vorstand. Dazu kommt: Eine freundliche Gesprächsatmosphäre in den USA bedeutet keine Verbindlichkeit. Amerikaner sind von Natur aus freundlich und offen – das ist kulturell bedingt, aber kein Kaufsignal. Olaf hat das selbst schmerzhaft erlebt: Ein Meeting verlief bestens, er war am Ende überzeugend, aber er hatte das eigentliche Signal – es geht auch um einen Preisvorteil – überhört. Danach kam nichts mehr. Der Discovery Call: Das wichtigste Meeting im internationalen B2B Vertrieb Was Olaf aus Amerika mitgenommen hat und jetzt in Deutschland umsetzt, ist eine neue Ernsthaftigkeit gegenüber dem Discovery Call. Früher, als man sich noch persönlich getroffen hat, gab es ein Warm-up, ein paar Minuten Smalltalk, man konnte die Körpersprache des Gegenübers lesen. Heute hat man 30 bis 45 Minuten – manchmal mit Kameras aus, manchmal kommen kurzfristig unbekannte Teilnehmer dazu. Und in dieser Zeit soll man sich vorstellen, den Kunden verstehen, seinen Nutzen zeigen und die nächsten Schritte klären. Das ist kein Meeting mehr – das ist ein Sprint. Und wer unvorbereitet reingeht, verliert. Cross-funktionale Teams statt Einzelkämpfer Olafs Ansatz: Cross-funktionale Teams für wichtige Discovery Calls. Nicht einer geht alleine rein, sondern zwei bis drei Personen mit unterschiedlichen Fähigkeiten. Ein Techniker, ein Kaufmann und außerdem jemand, der gut zuhört und nachfragt. Das hat mehrere Vorteile: Zum einen kannst du das Playbook wechseln, wenn sich herausstellt, dass auf der anderen Seite plötzlich ein CFO statt eines Ingenieurs sitzt. Zum anderen zeigst du Kompetenz durch Professionalität. Und schließlich kannst du auf fast jede Frage sofort antworten. Dazu hat Olaf bei Kendrion ein Setup gebaut, das einem kleinen Nachrichtenstudio ähnelt: mehrere Kameras, professionelle Beleuchtung, ein Setup, das Professionalität ausstrahlt. Im klassischen Maschinenbau ist das noch die Ausnahme – genau deshalb fällt es auf. Und genau deshalb funktioniert es. Deutschland: Ingenieure im Vertrieb – Stärke und Schwäche zugleich Seit Anfang 2025 ist Olaf wieder in Deutschland. Und was er sieht, klingt vertraut – vielleicht zu vertraut. Deutsche Vertriebsingenieure sind tief in der Technik. Sie können erklären, wie ein Produkt funktioniert, welche Toleranzen es hat, welche Zulassungen vorliegen. Das ist ein echtes Asset. Aber es ist eben auch eine Falle. Denn während der deutsche Vertriebsingenieur noch erklärt, hat der amerikanische Einkäufer schon innerlich aufgehört zuzuhören. Olaf beschreibt das sehr treffend: In China waren deutsche Ingenieure noch bewundert – die Präzision, die Tiefe, das Fachwissen haben Eindruck gemacht. In Amerika hat er manchmal erlebt, wie die Augen seiner Gesprächspartner schon an die Decke wanderten. Die Botschaft: Komm auf den Punkt. Das bedeutet allerdings nicht, dass Fachwissen wertlos ist. Im Gegenteil. Aber es muss in den Dienst des Kunden gestellt werden, anstatt als Selbstzweck präsentiert zu werden. Denn der Kunde will nicht wissen, wie eine Industriebremse funktioniert. Vielmehr will er wissen, was sie für sein konkretes Problem bedeutet. Der informierte Kunde: 60 bis 80 Prozent des Kaufprozesses sind bereits gelaufen Ein weiterer wichtiger Punkt aus der Praxis des internationalen B2B Vertriebs: Der Kunde kommt heute nicht mehr unwissend ins Gespräch. Er hat recherchiert, er hat 3D-Zeichnungen heruntergeladen und außerdem Wettbewerber verglichen – vielleicht hat er sogar schon fünf Pitches gehört. Folglich weiß er in vielen Fällen mehr als mancher Vertriebsmitarbeiter, zumindest über die Marktoptionen. Was bedeutet das für den Vertrieb? Olaf bringt es auf den Punkt: Eine Company-Presentation zu zeigen ist heute irrelevant. Der Einstieg in ein Gespräch über die eigene Geschichte, die eigenen Awards und die eigene Unternehmensphilosophie kostet wertvolle Minuten – und die hat man nicht mehr. Was der Kunde wirklich braucht: Jemanden, der die vielen Informationen, die er bereits hat, in eine sinnvolle Reihenfolge bringt. Der sagt: Das ist zwar interessant, aber das brauchst du eigentlich nicht – weil dieses und jenes dein Problem bereits löst. Das ist echter Kundennutzen. Das ist der Moment, in dem ein Discovery Call nicht endet mit „Danke, wir melden uns" – sondern mit „Das war wirklich hilfreich." Marketing und Vertrieb: Gemeinsam oder gar nicht Wer im internationalen B2B Vertrieb Leads generieren will, kann sich nicht mehr leisten, Marketing und Vertrieb als getrennte Welten zu behandeln. Olaf setzt das konsequent um: Marketing sitzt bei Strategie-Meetings dabei, ist verpflichtet, Content zu liefern, der den Kunden bereits vor dem ersten Kontakt informiert und qualifiziert. Denn wenn 60 bis 80 Prozent der Kaufentscheidung bereits gefallen sind, bevor der Vertrieb ins Spiel kommt, dann muss Marketing diese Phase aktiv gestalten – nicht nur hübsche Broschüren produzieren. Das bedeutet konkret: technische Inhalte, die echte Fragen beantworten. Dazu Case Studies, die zeigen, wie das Problem tatsächlich gelöst wurde. Außerdem 3D-Zeichnungen, die der Kunde direkt verwenden kann. Und schließlich eine Website, die nicht über das Unternehmen redet, sondern über den Kunden und seine Herausforderungen. Mindset-Change statt Training: Der Challenger-Club als Modell Wie überträgt man all diese Erkenntnisse aus dem internationalen B2B Vertrieb auf ein deutsches Team? Olaf hat bei Kendrion einen Weg gewählt, den ich wirklich spannend finde: keinen Frontalunterricht, kein externes Training, das nach zwei Tagen vergessen ist. Stattdessen: einen Club. Erst gab es eine Verhandlungsgruppe – ein freiwilliger Zusammenschluss, der Vertrieblern hilft, schwierige Verhandlungen zu meistern. Das Format: Man liest Bücher, trifft sich, diskutiert – und hilft anderen in der Gruppe mit echten, laufenden Verhandlungen. Als Olaf den Zugang begrenzte und Bewerbungen verlangte, war der Club innerhalb von 24 Stunden ausgebucht. Dieses Prinzip hat er auf den Challenger-Sale-Ansatz übertragen. Eine gemischte Gruppe – Vertrieb, Konstruktion, Logistik – arbeitet gemeinsam daran, echte Fälle zu analysieren und Playbooks für unterschiedliche Stakeholder-Konstellationen zu entwickeln. Kein Lehrbuch, gelebte Praxis. Und der Sog-Effekt funktioniert: Andere Mitarbeiter fragen inzwischen, warum sie nicht dabei sein dürfen. Warum der Chef selbst mitmachen muss Das Wichtigste dabei: Olaf macht selbst mit. Denn er ist nicht der Chef, der von oben anordnet. Vielmehr ist er ein Teil des Teams – angreifbar, offen für Fragen und außerdem bereit zuzugeben, dass er selbst nicht immer alle Antworten hat. Genau dieser Führungsstil ist es, der echten Wandel überhaupt erst möglich macht. „Erst verstehen, dann verstanden werden." – Olaf Detlef KI im internationalen B2B Vertrieb: Noch am Anfang, aber unverzichtbar Auch das Thema KI kommt nicht zu kurz. Bei Kendrion ist man gerade dabei, die richtigen Tools auszuwählen – Enterprise-Versionen, die datenschutzkonform in einem börsennotierten Unternehmen eingesetzt werden können. Ein konkretes Problem, das gelöst werden soll: Informationen wiederfinden. Was früher auf dem Server lag, dann in Teams, dann im SharePoint, dann in der Cloud – und was jetzt niemand mehr findet, wenn ein Kunde fünf Jahre später auf eine damalige Vereinbarung verweist. Parallel läuft der Wechsel aller CRM-Systeme auf SAP Cloud for Customer – mit allen Schmerzen einer Übergangsphase, in der man gleichzeitig das alte System herunterfährt und das neue aufbaut. Das kostet Kraft. Aber wer diese Phase nicht konsequent durchzieht, hat danach keine belastbare Datenbasis – und ohne Datenbasis kein vernünftiger Vertrieb. Der Vertriebsleiter als Ermöglicher, nicht als Aufpasser Einer der wichtigsten Punkte, die Olaf mitbringt, ist sein Führungsverständnis. Ein guter Vertriebsleiter im internationalen B2B Vertrieb – oder auch im rein deutschen Markt – ist kein Händchenhalter und kein Kontrolleur. Vielmehr ist er derjenige, der seine Leute befähigt. Er findet heraus, was im Werkzeugkasten fehlt, und ist bei wichtigen Calls dabei – nicht um zu übernehmen, sondern um zu unterstützen. Außerdem steht er bei schwierigen Situationen als Gesprächspartner zur Verfügung, ohne gleich eine fertige Lösung zu diktieren. Empathieverständnis ist dabei das Schlüsselwort. Wer an der Basis versteht, welchen Druck die Vertriebsmitarbeiter haben – und diesen Druck wirklich ernst nimmt, anstatt ihn weiterzugeben –, schafft ein Klima, in dem Menschen wachsen wollen. Und das ist am Ende das, was Unternehmen langfristig besser macht. Key Takeaways: Was du aus dem internationalen B2B Vertrieb mitnehmen kannst Zustimmung im Gespräch ist kein Kaufsignal – weder in China noch in Deutschland. Hinterfrage immer, welche Stakeholder noch involviert sind. Kenne deine unbekannte Einkäufergruppe – erstelle vor jedem wichtigen Deal eine Stakeholder-Map und mache weiße Flecken sichtbar. Suche das Problem hinter dem Problem – der Kunde nennt dir ein Symptom. Deine Aufgabe ist es, die eigentliche Ursache zu verstehen. Der Discovery Call entscheidet alles – bereite ihn so vor wie ein Vorstandspräsentation. In 30 bis 45 Minuten musst du liefern. Fachwissen ist kein Selbstzweck – stelle dein Wissen in den Dienst des Kunden, nicht in den Dienst deiner eigenen Präsentation. Marketing gehört in den Vertriebsprozess – nicht davor, nicht daneben, sondern mittendrin. Kulturwandel funktioniert nicht per Anweisung – schaffe Sog, nicht Druck. Mach selbst mit. Häufige Fragen zum internationalen B2B Vertrieb (FAQ) Was ist der größte Unterschied zwischen amerikanischem und deutschem B2B Vertrieb? Der größte Unterschied liegt in der Geschwindigkeit und Direktheit. Amerikanische Kunden wollen früh eine grobe Einschätzung – Skizze und Preisgefühl reichen als ersten Orientierungspunkt. Deutsche Ingenieure neigen dazu, erst vollständige Konzepte zu erstellen, bevor sie antworten. Dazu kommt: In den USA entscheidet der erste Call. Wer dort nicht überzeugt, bekommt keine zweite Chance. Was ist die unbekannte Einkäufergruppe im B2B Vertrieb? Die unbekannte Einkäufergruppe bezeichnet alle Stakeholder, die Einfluss auf eine Kaufentscheidung haben, aber im Verlauf des Vertriebsprozesses nicht sichtbar sind. Das können Produktionsleiter, Qualitätsverantwortliche, CFOs oder andere interne Entscheider sein, die im Hintergrund agieren und eine Entscheidung kippen können – auch wenn alle sichtbaren Gesprächspartner bereits zugestimmt haben. Discovery Call, Kultur und Führung – die wichtigsten Praxisfragen Wie bereite ich einen Discovery Call im internationalen B2B Vertrieb richtig vor? Recherchiere vorab alle bekannten Stakeholder, erstelle eine Stakeholder-Map und identifiziere weiße Flecken. Plane, was du in 30 bis 45 Minuten wirklich erreichen willst. Definiere, welche Informationen du brauchst – und welche Fragen dich dorthin führen. Überlege, welche Mitarbeiter mit unterschiedlichen Fähigkeiten du mitbringen kannst, um flexibel auf verschiedene Gesprächspartner reagieren zu können. Warum ist Kulturkompetenz im internationalen B2B Vertrieb so wichtig? Weil Kaufsignale, Kommunikationsstile und Entscheidungsprozesse in verschiedenen Kulturen völlig unterschiedlich funktionieren. Was in Deutschland als Zustimmung gilt, kann in China höfliche Zurückhaltung bedeuten. Was in Amerika als freundlich wahrgenommen wird, ist nicht zwangsläufig Verbindlichkeit. Wer diese Unterschiede nicht kennt, interpretiert Signale falsch – und verliert Deals, ohne zu verstehen, warum. Wie kann ich als Vertriebsleiter im Mittelstand eine echte Veränderungskultur aufbauen? Nicht durch Anordnung, sondern durch Vorbildwirkung und Sog. Mach selbst mit – sei angreifbar, gib zu, wenn du etwas nicht weißt, und zeige deinem Team, dass du Teil der Veränderung bist und nicht ihr Auftraggeber. Begrenze den Zugang zu neuen Formaten und Gruppen, um natürliche Neugierde zu wecken. Und: Schaffe ein Klima ohne Angst, damit echte Fragen gestellt werden können. Fazit: Internationaler B2B Vertrieb als Spiegel für den deutschen Mittelstand Was ich an diesem Gespräch mit Olaf so wertvoll finde: Er spricht nicht über Theorie. Er spricht über das, was er selbst falsch gemacht hat, daraus gelernt hat – und was er jetzt anders macht. Und die meisten dieser Lektionen haben nichts mit China oder Amerika zu tun. Sie haben mit gutem Vertrieb zu tun: mit Vorbereitung, mit echtem Zuhören und außerdem mit dem Mut, Dinge zu hinterfragen, auch wenn die Antwort unbequem ist. Der internationale B2B Vertrieb hält einen Spiegel vor den deutschen Mittelstand. Und was wir darin sehen, sollte uns antreiben – nicht entmutigen. Denn die Grundlagen sind da. Das Fachwissen, die Ingenieurskultur, die Qualität der Produkte – das ist alles vorhanden. Was fehlt, sind die richtigen Fragen, das richtige Timing und die Bereitschaft, sich zu verändern. Und genau das lässt sich lernen. Wie seht ihr das? Was sind eure Erfahrungen mit internationalem Vertrieb – oder mit kulturellen Unterschieden in deutschen Kundengesprächen? Schreibt es in die Kommentare. Ich bin gespannt.

Hosted by David Cowen | Careers and the Business of Law David Cowen sits down with Bobby Malhotra, litigation partner and chair of Winston's eDiscovery and Information Governance practice, member of the firm's AI strategy group, and founding member of Legal Data Intelligence. Bobby sits at the intersection of eDiscovery, digital forensics, cross-border data, privacy, cybersecurity, information governance, and AI governance, bringing a rare combination of legal judgment, technical fluency, and hands-on curiosity. This conversation covers why AI governance has arrived, why information governance is making a comeback, and why the next generation of legal professionals will need to become tech-and-data lawyers.   WHY THIS MATTERS? AI governance is no longer a future issue. It is already here. Companies are dealing with employee use of public AI tools, data exposure, privacy risk, cybersecurity concerns, regulatory pressure, AI policies, privilege questions, AI transcription, and AI-related incidents. For lawyers and legal professionals, this is one of the clearest career white spaces in the market. KEY TAKEAWAYS AI governance has arrived. It is already one of the hottest and busiest areas in the legal industry. AI governance is about vision, guardrails, policies, ethical obligations, legal obligations, regulatory compliance, and business risk. Information governance is the backbone of AI governance. You cannot govern AI if you do not know where your data lives. Data governance sits inside AI governance, and may be the most important part of the whole program. The legal role is expanding, not shrinking. AI governance and data governance are creating new career lanes across law firms, corporate legal departments, privacy, cybersecurity, eDiscovery, and legal operations. You do not need 20 years of AI governance experience. No one really has that. Curiosity, teachability, issue-spotting, and legal judgment matter more. The best professionals in this space combine legal thinking with technical literacy. It is not just about knowing the tools. It is about applying the law to the facts, the technology, and the risk. AI governance is not just about models anymore. It now includes privilege protection, AI transcription, employee AI usage, public AI tools, data exposure, and AI-related breach scenarios. Outside counsel and in-house teams both have a role. Some companies rely heavily on outside counsel, while others use outside counsel for strategy, policy review, sanity checks, regulatory guidance, and high-risk questions. If you want to build a career in this space, get comfortable being uncomfortable. Follow the law. Follow the technology. Find mentors. Set up news alerts. Stay close to communities like LDI and IAPP. PEOPLE MENTIONED David Cowen - Host Bobby Malhotra - Litigation Partner; Chair of eDiscovery and Information Governance; AI Strategy Group Member; Founding Member of Legal Data Intelligence Melanie Prevost - Referenced in connection with career creation and emerging opportunities Malcolm Gladwell - Referenced in connection with the 10,000-hour rule COMPANIES & ORGANIZATIONS MENTIONED Winston - Bobby's firm Legal Data Intelligence / LDI - Community and framework for legal data professionals IAPP - AI governance and privacy education resource CLOC, ILTA, SOLID - Legal operations, innovation, and business of law communities M365, SharePoint, cloud platforms, data lakes, and metadata - Referenced as examples of where organizational data lives Colorado, Connecticut, Illinois, California, and Texas - Referenced in connection with emerging AI legislation EU AI Act - Referenced in connection with AI regulatory obligations NAIC - Referenced in connection with AI guidance in the insurance industry New York DFS - Referenced in connection with regulated financial institutions

Howard Crow, Director of Product at Microsoft, joins the podcast to discuss the evolution of Microsoft Planner, its deep integration with Microsoft Teams, and the growing role of AI agents in work management.• Howard shares his nearly 30-year journey at Microsoft, from the founding days of SharePoint to leading the Planner and Project teams• The genesis of Microsoft Planner and how it democratised project management beyond specialist tools like Microsoft Project• Microsoft's unification strategy, bringing To Do, Planner, and Project for the Web together under a single Planner brand• How Planner integrates deeply with Microsoft Teams across meetings, channels, and chats• The Planner Agent and Microsoft's multi-agent runtime service, the first production multi-agent harness shipped at Microsoft• How MCP (Model Context Protocol) is becoming the "USB for APIs" and unlocking new integrations for Planner• The future of work: managing teams of humans and AI agents together, and why a visual planning surface matters for knowledge workersThanks to Luware, this episode's sponsor, for their continued support of Empowering.Cloud

Recorded live at PSConfEU 2026, Andrew sits down with returning guest Miriam Wiesner, Senior Security Researcher at Microsoft, for a wide-ranging conversation on PowerShell security, cookie-based attacks, and the evolving threat landscape. Miriam walks through her two conference talks — one on Microsoft Teams session cookie hijacking (a follow-up to her 2025 Entra ID cookie talk, complete with Cookie Monster branding and actual handcuffs), and a joint session with Stéphane van Gulick on using Microsoft Defender's Live Response feature for incident investigation. The conversation also covers the current state of PowerShell security, why sophisticated attackers are moving away from PowerShell, and why defenders who haven't enabled script block logging and AMSI are leaving easy wins on the table. On top of the technical deep dive, Miriam and Andrew get into the human side of the conference community — nerves before presenting, imposter syndrome, and why showing up is already half the battle. Key Takeaways: Cookie-based identity attacks are an active and growing threat. Microsoft Teams, SharePoint, and OneDrive share session cookies, meaning a single cookie theft can give an attacker broad access across your organization's collaboration tools — no re-authentication required. Sophisticated threat actors are moving away from PowerShell specifically because its security features work. Script block logging, AMSI, and Constrained Language Mode make PowerShell activity highly visible and detectable. If your org hasn't enabled these, you're handing attackers an easy path. Visibility beats prevention. You can't prevent what you can't see. Detection through proper logging is not a consolation prize — it's a core security strategy, and Microsoft Defender's Live Response feature gives teams a powerful way to investigate isolated endpoints without needing RDP or PowerShell remoting enabled. Guest Bio: Miriam Wiesner is a Senior Security Research Program Manager at Microsoft with over 15 years of experience in IT security, penetration testing, and security automation. She works on research behind Microsoft Defender and Sentinel and is the creator of widely used open source PowerShell security tools EventList and JEAnalyzer. Miriam is a sought-after speaker at major security and PowerShell conferences including Black Hat, PSConfEU, and MITRE ATT&CK Workshops. She's also the author of "PowerShell Automation and Scripting for Cybersecurity," published by Packt. Her conference speaker career started at PSConfEU 2018 and she's been a fixture of the community ever since. Resource Links Miriam's 2025 Cookies talk - https://www.youtube.com/watch?v=8xDcq0pPNPs Book – PowerShell Automation and Scripting for Cybersecurity (Packt): https://www.amazon.com/PowerShell-Automation-Scripting-Cybersecurity-Hacking/dp/1800566379 Miriam on LinkedIn: https://www.linkedin.com/in/miriamwiesner Miriam on X/Twitter: https://x.com/MiriamXyra Miriam's GitHub (EventList, JEAnalyzer, and more): https://github.com/miriamxyra Miriam's Website: https://miriamxyra.com Connect with Andrew: https://andrewpla.tech/links The PowerShell Podcast on YouTube: https://youtu.be/zxJOqcEwgWE  

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What happens when an AI agent inside your company starts behaving like an insider threat? In part two, Steve Moore picks the thread back up with former FBI operative Eric O'Neill to explore how agentic AI is rewriting cybersecurity, the legal traps that follow a breach, and why the modern CISO must think like a spy hunter.Eric opens with a sobering reality: ransomware victims who decline to pay are re-attacked at staggering rates. He explains why criminals treat cybercrime as a business, invest weeks in reconnaissance—mapping SharePoint, harvesting file trees, and studying access patterns—and why a botched recovery hands them the same door twice.The conversation turns to the new insider threat hiding in plain sight: rogue AI agents. Eric shares a real case in which one executive's casual query exposed the next round of layoffs and triggered coordinated lawsuits. They unpack how agents inherit excessive access, how attackers hijack them once inside, and why organizations are now building insider-threat programs to monitor AI behavior.Eric argues AI is an accelerant on every unresolved problem—weak identity management, entitlement drift, missing asset inventories, and absent data classification. They debate whether IT and security should be unified under the CISO, why the CISO needs a direct line to the board, and the legal landmines that follow a breach, from cyber insurance to the “reasonable steps” standard.The episode closes with Eric's advice for any new CISO: put “spy hunter” on your resume. Counterintelligence, not perimeter defense, is the discipline that wins today. Tune in for part two of a story-driven conversation on why preparation, mindset, and threat hunting beat any single technology.Key Topics• Why ransomware victims who decline to pay get re-attacked• How attackers map SharePoint, file trees, and access patterns• The new insider threat: rogue and hijacked AI agents• A real case of an AI agent exposing an HR layoff list• Shadow IT and the cost of banning AI outright• Permission structures and second-level reviews for agent actions• Why AI exposes gaps in identity, asset, and data classification• Unifying IT and security under the CISO• Why the CISO needs a direct line to the board• Legal traps: cyber insurance, reasonable steps, and missed alerts• The CISO as counterintelligence officer and spy hunterGuest BioEric O'Neill is a former FBI counterintelligence operative, attorney, and bestselling author who helped bring down Robert Hanssen—the most damaging spy in FBI history. He is the founder of NeXasure AI and co-founder of The Georgetown Group, and his undercover work was dramatized in the film Breach. Eric is the author of Gray Day and Spies, Lies, and Cybercrime.Connect with Eric on LinkedIn or at ericoneill.net.GET A DEMO:

We've informally heard that Satya is a listener to LS for a couple years now, but it was still absolutely surreal to meet him and do a live pod at Build, together with our friends at No Priors, the leading VC AI Podcast that we also greatly admire!We covered the MAI model technical takeaways on yesterday's AINews, so I will focus our recap of Satya's main messages around three elements:* Satya's adaptation of the Bill Gates Line for positioning Microsoft as the Frontier Intelligence Platform — customers must gain much more value from the Microsoft ecosystem than Microsoft itself, by building on multi-model harnesses like OpenClaw and Scout, drawing on the full enterprise context exposed by context layers like Work IQ (heavily dogfooded by his C-suite), and building up private evals and traces as a new form of Token IP* AI ROI: On one hand, enterprises are having difficult conversations around Tokenmaxxing and Layoffs, and on the other hand, there are serious re-evaluations of the End of SaaS since the Build vs Buy equation has changed so much. Our previous SemiAnalysis guest had… interesting comments on Microsoft's position on this as the ur-SaaS titan, and Satya had great answers* Making the Impossible Possible: Kevin Scott's inspiring framing around what the most ambitious version of applying AI and technology at large to business and social problems, like education and social impact.Enjoy!Full VideoTranscriptVoiceover: Welcome swyx, Sarah Guo, Elad Gil,, and Chairman and Chief Executive Officer of Microsoft, Satya NadellaSarah Guo: Welcome to a crossover episode of No Priors and Lane Space with Satya Nadella. Um, congratulations on an amazing build. No, thank you so much, and it's great to be with both of you. I listen to both of you or b- both the podcasts all the time. It's great to be on it.Thank you so much. [00:01:00] So you're just talking about, um, these amazing, uh, announcements from across the Microsoft estate all morning for, I think, three hours. What is the, uh, what's the most important reflection or takeaway you have?AI as an Ecosystem PlatformSarah Guo: I, I'd say there are, uh, perhaps the, the biggest one for me is let's sort of conceptualize this more as an ecosystem play as opposed to a single model or even a single platform, right?Satya Nadella: I mean, you know, whatever I... At least for me, having grown up at Microsoft, having seen, whatever, four major platform shifts, uh, I sort of fall into that, um, uh, camp where a platform is defined by fundamentally its ability to create more value about the platform versus what's captured in the platform. And so if you, you view what's happening right now, I think this morning's keynote was how can any company, whether it's an AI native company or a traditional enterprise company, participate as a first-class participant where they can point to AI they created, [00:02:00] right?It's not that they don't use other people's AI. Of course they will. But to me, what's the path? What's the recipe? How do I do it? What does a stack look like? What does the tooling look like? What is valuable? How do you do that? That's it. That's sort of our job to do. Yeah. Ecosystem strategy is, uh, very complicated, right?Sarah Guo: Because you end up building certain components, partnering for certain components, supporting them. You just announced this big suite of models. Like, tell us a little bit about the, uh, training strategy for Microsoft now. Yeah.MAI Models & Training StrategySarah Guo: So, so the thing that we wanted to do with the MAI models was to build, and as Mustafa talked about, first of all, a great lineage, right?Satya Nadella: Starting with pre-training, uh, with very good data quality, uh, doing all the ablations, making sure because in, in some sense it's becoming even harder to build a clean lineage model just because there's so much stuff out there, uh, that you truly need to ablate out to be able to have a fantastic [00:03:00] pre-trained model.In fact, that's one of the challenges of a lot of the open weight models is they look great on one benchmark or two, but they're not great on practice. So that's why, in fact, even in the RFDEs are, they, they are pretty gone really excited about these MAI models because how the heck can a small five B model hill climb?Uh, and it goes back a little bit to what I think is ultimately the key thing to do, which is try to pursue finding that cognitive core. Uh, so to me, starting with a clean lineage- Then creating that ability for companies to be able to use this, right? Not just as a generalist, but to create their own specialist by building this hill climbing scaffold around it, right?So it's not just the model, but you have a hill climb scaffold around it, then you will start building your RLE. You will start collecting the traces. Most importantly, you'll have private evals because we know all the evals out there are good, interesting, [00:04:00] but they're not really that critical- They're work, yeahSwyx: at this point because they all can be maxed. And so the point is each company will have its own private eval. And so that end-to-end platform story around our models is sort of, uh, what I think is interesting. And then the one other thing, Sarah, since you brought that up, is I do feel there's a new frontier.Satya Nadella: Like people talk about the frontier and are you operating at the frontier. Um, interestingly enough, if you add a little temporality to it, you can use, let's say, in, in, in fact, the, the Lando Lakes demo we showed was pretty cool. We used, whatever, GPT-55, right? Then you collected a bunch of traces, and then you took a 5B reasoning model and achieved higher.Sarah Guo: Uh, so that is another aspect of what it means to appear... uh, you know, operate at the frontier Yeah. I, I think, uh, I first of all have to congratulate you on basically building a frontier neo lab inside of Microsoft in two years. Um, I'm wondering, you know, you have all this AI strategy that you're rolling out.Lessons from Two Years of AI DevelopmentSwyx: I'm wondering, what do you know now that you wish you would tell yourself two years ago where- or two or [00:05:00] three years ago? Three years for the Jensen partnership, two years for, uh, MEI. Yeah, I mean, I think the, the thing when, that I reflect quite a bit, right, which is sort of obviously I got into all this when I got excited by the, the scaling laws paper and, you know, when, you know, even the OpenAI partnership came about when those folks said, “Hey, we're gonna really throw a lot of computer transformers.”Satya Nadella: Uh, and they've helped. I- the thing that I always look back and say, “Wow, these things, uh, do have capability that they're climbing up.” W- I mean, this, you know, this crude way of saying it is intelligence is log of compute kind of works. Now what I think we underestimated perhaps is the real-world complexity of deploying these so that they actually deliver the value in the real world, right?So the outcomes as measured by any benchmark is interestingly important, but the true eval is when people out there are able to do unique things that they only can value, and it's very [00:06:00] measurable, right? That I wish we had sort of even, like, had more in our consciousness, right? Which is as an industry.Sarah Guo: Because right now I think when people say, “Wow, I don't want a token max,” it's an artifact of us not having thought ourselves as an industry that we are using tokens to create value every step of the way. So I think that's kind of what I wish we had gotten there, but I'm glad we are here.Real-World Value & Use CasesSarah Guo: What are some of the use cases that you've seen that have created the most value for your customers?Because I know that people talk a lot about code, and I think it's pretty clear that that's something that's having very large scale impact. Are there other areas that you find in common that your customers are really benefiting from? Yeah. I think, yeah, to your point, obviously coding is now got... But it's interesting, by the way, Elijah, to even talk about the coding, right?Satya Nadella: Which is coding has worked so well that we now have to rebuild the IDE, right? I mean, it's kind of nuts to see what we sh- launched is like, oh my God, I have these hundred agent sessions. I... The cognitive load it transfers back to me as a human is so [00:07:00] excessive that now I need a new UI. Uh, oh, by the way, I, like the, the chat as the only artifact was also impossible, so that's why we need a canvas.So it's kind of interesting for all the things about where is software needed or where is UI needed, uh, you kind of need that even for code, right? In a fully agentic world. But that said, one of the things that we are starting to see, we started seeing with co-work, but even some of the work we, we showed with auto com- uh, um, autopilot Right on what you see with claws is a good one because if you sort of think about a lot of human capital is doing the glue work, right?If you now can augment that with tokens/agents that are long-running, durable, right, then your ability to scale even what is still judgment and glue work gets amplified like coding does. Uh, so you can... Like, I'm positive that six months from now we'll all be saying, “Oh, wow,” like, all through ni- the night there was a bunch of stuff that [00:08:00] all these autopilots that I have working on my behalf with my delegated authority, so to speak, right?I can... Sort of given even my identity, did a bunch of work, then of course I'll need my new ADE to say, “Well, what did you do?” Like, I might... “Did I do this work?” And so on. So I think that that's where compressing of workflows, uh, completing of tasks, uh, that's where I think a lot of the value gets created. I think you raised a really interesting point, which is there's the actual agent that's doing the code, and then there's a harness around it, and that's the environment, that's the context, that's everything you're setting up as a developer around actually a coding agent.The Harness Concept for Enterprise AISarah Guo: What is the harness for the enterprise? Is there an equivalent concept for broader productivity work, or how do you think about that concept sort of generalized? That's right. So, so in some sense you kind of want the harness to define the models, the, the data, uh, and the tools, and so that you have a loop across those three.Satya Nadella: And so what we are trying to, first of all, make sure is each of our products that we build, right, whether it's GitHub Copilot or the security copi- the, the [00:09:00] stuff we showed with MDASH or even the discovery for science, it doesn't matter, all of them are multi-model harnesses, um, with tools access so that you can do this progressive, uh, disclosure of tools even so that they're token efficient.Uh, and then you're feeding it with very rich context because that's sort of the other hard lesson we have learned in the last two years is, oh my God, the amount of work you need to do to prep the context layer, uh, such that your plan can execute in the most efficient way is where the magic is. So we have, in our case, we have the GitHub harness, which essentially we're using across all our products.It's available in Foundry, and we are open, like you can use your Llama harness, whatever. Or you can use the, um, uh, you know, any open harness or any harness of yours and train with your tools and multiple models and your context. And so that's the pitch. Because right now a lot of dialogue is, um, “Hey, if I train the harness plus tools and the model together, you get [00:10:00] evals.”Elad Gil: And what we are proving out is... And the best example of that is what we did with MDASH, right? Because when it launched, uh, it found bugs or vulnerabilities that were not found by Mythos Uh, and so there is existence proof, I would claim, that you can have a multimodal harness, uh, that can in fact be more, uh, performant in the real world So a premise behind the, uh, training at the independent frontier labs is really, you know, we're gonna have these models, and we'll have an API business, and we'll support enterprises and startups.Sarah Guo: ButPlatform Strategy & Developer EcosystemSarah Guo: a first-party product, be it productivity or code or search, drives the majority of revenue. That's a different value equation than you're describing, I think, with the Microsoft ecosystem. Uh, if, if that's the case, tell me if it's the case, uh, ‘cause obviously you have first-party products and you have enablement products.Satya Nadella: Um, what is the role of the develop- Like what is gonna be hard and the set of skills and the value capture the developer has in that world? Yeah. So I think that there's always [00:11:00] gonna be the case that someone who is super successful in- as a platform builder can also have first-party products. It was true with Windows.It is true, uh, with, uh, the, the SaaS side and the cloud side as well with us and others and so on. But the thing that is, is it should not be a limiter to other people achieving that same success, right? That I think is the core difference, which is the, the network effects this time around, around intelligence are such because they learn from data, and not really lots of data.It's just a few samples that you have to see to understand what's novel about something. So that's why the game becomes how to protect. So that's why I would say every company, having private evals may be the biggest IP, right? Think about it, like what's that private eval that you can then use even a frontier model to hill climb on and not leak the traces may be one of the biggest [00:12:00] drivers, uh, of IP.Like, so in other words, another te- acid test is you have an eval that's private. You're using, uh, a g- a Model A. Can you switch it to Model B and e- you know, climb up? If you can, then you're in control. If you can't, you're not in control, and that's where even the harness decision becomes super important, right?swyx So therefore, having an open harness, letting all models come in, having your evals, your context, your tools help you hill climb, I think is the skills that an AI native startup needs, a SaaS company needs, or every enterprise needs. Yeah, I think in, in a very real way you are ... Microsoft historically is an operating systems company and th- then become a cloud company.Maybe like the third act is that you're a harness or evals company. Whatever w- ... whatever the, the sort of conglomerate of concepts that you wanna put together. Um, and, and I think like enabling every company to have like frontier intelligence or what- what- Yeah ... I forget the, the [00:13:00] exact term that you used, um, is the, is the mission, right?Satya Nadella: That's it. Like that is, that is the platform promise, that you build with us, you will get your intelligence, uh, for your data. That's it. That ... To, to me, that is the ... Like if there was one tagline, uh, for this entire developer conference is- Can everybody operate at the frontier with their frontier intelligence, right?To me, that is so important because otherwise it, I, I don't know how you achieve stable equilibrium, right? Which is how do I then go and say, “Well, my company is gonna have a terminal value because I now know how to continuously compound-” Yeah ... on top of what's a platform that gets better,” right? So when, like Windows obviously came out, Adobe built, Autodesk built, uh, or even like take what Jensen said.We built DX and he built, you know, CUDA on top of it. Um, right? I mean, I always say to Jensen, “God, I got the short end of that,” right? “I wish, uh, we had recognized it.” But nevertheless, but that, that idea that you can build a platform layer [00:14:00] that someone else can then extend out, um, and build their own intelligence layer in this case, I think is everything, right?Without it, why have a developer conference? I can just come and have you all sort of just worship at the altar of one model. Yeah. But that's not a developer conference. Uh,IP, Evals & Company Valueswyx: backstage we, we had a discussion about what is IP or what is the, the value in a company. It used to be the length of, uh, human experience at a company, and now it's this other thing which is the evals, the, uh, experience in sort of applying agents to the company. Can you... I just want you to like flesh that out a bit more ‘cause- Yeah ... it was very insightful.Satya Nadella: It's a great way to frame it, right? Because yeah, at the end of the day, every company is gonna have both the human capital that is still gonna be super valuable, uh, because humans, uh, and their ability to find the gaps that exist at all times is going to be the way we all will create value, right?I mean, so I'm definitely in the camp that this is going to be about expressing new forms of human agency and ambition even as token capital goes up, right? So let's say a cor- any corporation [00:15:00] has lots of tokens and lot of human capital. The question is how do you compound the two? So if you have a... Like if you take in Teams I have a bunch of agents doing work and a bunch of humans doing work, and the traces between those, that is really important context of how that enterprise is creating value.Then that goes back to train not a generalist model, but to train the company veteran agent, uh, right? That is super valuable again, right? Which is when a company goes says, “It should in fact go onto the balance sheet,” is how I think about it, right? That's so... In fact, there may be... Like human capital was never possible to go put on a balance sheet, uh, because you didn't know how to capture the tacit knowledge.swyx: Whereas now I think you can with the agents that have learned through the h- through, through time, through all the traces. Uh, so that's what at least we think will happen. I, I think the SEC is gonna have to have accounting standards- ... for token, uh, expertise Uh, y- y- you're talking about the equilibrium [00:16:00] state, um, and a stable equilibrium where companies have this compounding value and can see terminal value for themselves.Future of SaaS & Business ModelsSarah Guo: Another challenge to, you know, the considered equilibrium of, okay, there are applications and workflows that are sort of common to a vertical or a horizontal. Um, and this was, like, the generation of SaaS companies and, you know, Microsoft has lots of SaaS properties as well. And then there are things that are very specific to every enterprise that they're differentiated against.Elad Gil: Um, I'm sure you have heard much and participate in much of the debate about the end of software because all these workflows are, are cheap to generate now. Um, do you think the equilibrium looks different between what agents get built- Yeah ... in enterprises versus in their vendors in the future? Yeah. So I think what's happening there is, see, we, we had a particular way we captured, um, I would say workflow in apps, right?Satya Nadella: Because we built a, a data model, right? We schematized some part of some business process. Mm-hmm. We then built a bunch of business logic. Yep. And then we put a bunch of UI [00:17:00] on top of it, right? So that's kind of what every SaaS company- And a little configuration. For, like, 20, 20 years that was the plan.Right, that- Yeah ... and that was it. So interestingly enough, now you kind of get to re-litigate that vertical stacking, right? So I still think, for example, that data model that you built underneath every SaaS application is super good, right? Like, why reinvent it? Like, I, I, my general ledger better be a general ledger.I don't need new schema creation. No. Uh, in fact, that entity relationship, uh, is actually pretty good, robust thing that I want to feed. And you want it to be stable. That's right. Yeah. Then same thing with business logic, right? If, if you look at, uh... We have this product called Power BI, right? It is like dashboards galore people created.The beauty underneath that dashboard is a very rich semantic model, right? Someone took the pain to create a dashboard and do all the measures, and you want that. That's business logic, right? I want that to be available to me. So I think the [00:18:00] challenge of the SaaS business model is we packaged one way. We now have to learn how to unbundle these things and rebundle in new ways and discover new business models, right?I mean, if you look at it, d- what's happening today with Microsoft 365 is a great example, right? We have this thing called Work IQ. In fact, like, what we are realizing is, oh my God, like, you know, if you look at... In fact, there's a pa- historical parallel too, right? We sold first Exchange and SharePoint and, uh, you know, before Teams, we had a thing called Lync Server and what have you, and we thought, “Oh, that's all gonna move to the cloud.”But little did we realize that, um, the number of people who will use servers in the cloud is 10X, 100X, right? Because people were not buying servers, they were just buying a subscription. Mm-hmm. The same thing is now happening with M365 because with Work IQ, we have exposed what is perhaps the most important database in a company that never got used as a database because it was only captive to our apps.Mm-hmm. Right? It, it was all email operated on it, Teams operated [00:19:00] on it, Word, Excel, PowerPoint, SharePoint. But now, like this is one of the coo- coolest things I get to do with Work IQ. I go to a GitHub repo and I say, “Hey, I attended a bunch of design meetings last week related to this repo. Can you capture all that and tell me what changes I should make?”I mean, think about that, right? It literally can go look at all those transcripts, come back with a plan to change a code base, right? Previously, you could never have thought of using M365 for something like that. So the value creation opportunity now in the agent world is in fact 10X more, but it does require us to have...Sarah Guo: For example, there's going to be usage around M365, right? Which is going to be perhaps more than even the e- end users and we have to even re-architect. Like, in fact, like what I use to serve an inbox or a mailbox cannot be used to serve an agent. Uh, and so that's sort of what we are doing.Pricing Models: Per-User, Consumption & OutcomesSarah Guo: I don't believe in, like, permanent business models for any of these domains, but in the [00:20:00] near term, do you have a prediction between, uh, you know, outcomes-based pricing, token-based pricing?Elad Gil: Enterprise bundles Yeah. The way I- I think about this is always we've had... Like, let's even take the per-user pricing. Mm-hmm. The per-user pricing is really an artifact of someone creating a budget needing certainty, right? Because it's the most important thing. Like, somebody wants a budget- Mm-hmm ... they need a per user.Satya Nadella: And, and per user is just a set of entitlements to usage, right? That's kind of what it is. And so the way is, if the first bundling will be take some usage, bundle it into per user stacks and, you know, then sell subscriptions. So subscriptions I think are gonna be there, per user is gonna be there. Then the next big thing will be consumption.So people will say, “I want consumption.” And it's also possible that people will say, “I don't even want to pay for any of the subscriptions or the consumption's outcome.” Mm. But remember, most people love outcomes until they have an outcome, because once you have an outcome, it's like giving away royalty, [00:21:00] right?Mm. I mean, like I, I've talked to customers who love, you know, outcome-based pricing, and I say, “I'm all in,” until they, “Oh my God,” like, “what are you talking about? You're sharing in my outcome? No, no, no. I want you to go back to per-user pricing, and I want you to consumption price,” right? So I think that debate will go on.Uh, but and all, all, all of these business models have a particular time and a place versus one to rule them all. And if anything, if you're a SaaS vendor or you're a platform vendor, having that flexibility... And quite frankly, we face this with GitHub, right? We just recently announced a per-user pricing on GitHub because little, you know, we- GitHub Copilot was constructed at a per-user level before we understood even, uh, the intensity of usage of agents, right?It was an interactive way for a developer to use code complete, maybe tasks. It was not like, oh, I launched 10,000, you know, agents that are going on all day, right? So that is what the adjustment is about. So now that we really want, there will [00:22:00] always be a per user, but there will have to be a consumption meter.Durability of SaaS & Build vs BuySarah Guo: How do you think about the durability of SaaS more generally? One thing I've observed is in a lot of enterprises internally, there will be teams that almost have agent euphoria. They're so excited about the explosion of things they can build that they're trying to rebuild a lot of applications or going to their SaaS vendors and saying, “We're not gonna work with you anymore,” or, “We're considering an internal project.”And it seems like in six to nine months, maybe some of those people will come back and say, “Actually, we, we can't rebuild everything.” How do you think about what's durable in this world and what isn't? Yeah, it's a... It... I think we have to go through one full budget cycle on this to really see the, um- Uh, the sort of the emergence of the equilibrium, because at the end of the day, there's marginal cost to even generating the app, right?Elad Gil: In, in fact, there can be even a, a simple way to say it, like if you should always acquire something if the marginal cost of building and maintaining, uh, something on your own is higher. Uh, right? That should be like it's a quantifiable- Yeah. Right? A quantifiable thing. And [00:23:00] the maintenance part is important, right?Even, like you got to remember like, hey, you know, all the security stuff that now AI will find, you better fix them too fast. Uh, of course, there's a coding agent to help you with, but then that burns tokens, right? So whose responsibility is it? It's kind of like a, a cycle that you've got to think through.And I think we have gone through the excitement that I can generate a lot of software. I think the next thing would be what software do I really want to generate? Mm-hmm. What software do I want to use from others? How do I compose these two into some agentic workflow that I have agency over, right?Sarah Guo: Because I think there'll be very little tolerance for anybody who's inflexible, uh, at the vendor level. Uh, but at the same time, I think that anyone who has got that flexibility shows up, delivers the value, will be back at again, right? We're selling software, uh, but with just different business models, in fact Uh, speaking about building software, um, one of my favorite moments from, I think, a previous build maybe one or two years ago was they had a b- they, they...Swyx: There was a section of you building your [00:24:00] own software. I'm curious if you're building anything now. Yeah. So I, I think the... You know, first of all, let's face it, right? Building software has made it possible for even the incompetence of a CEO of a company- ... like ours, uh, you can build, so thank God. But that said, I, I, I, I do feel that, you know, something like, um, GitHub Copilot to me, and especially the new Sessions app or the new app, has just made it so much more possible for you to have agency over artifacts that you felt you couldn't touch before, right?Satya Nadella: So to, for me as a CEO, even to go to a code base, uh, to be able to learn about it, like I remember joining Microsoft long back, you know, first and then you say, man, everybody had to go in and look at, you know, whatever, Cutler's, Malik, or what have you to learn how to do good C, uh, C++ code. Um, so now that ability to be more full stack up and down is so good, but that doesn't mean every one of us should be doing the same thing.The question is: [00:25:00] how do you then have the ability to inspect things, learn things, see things, um, I think is just so much more. And so to me, what I'm building a lot of is these long-running Foundry agents. Uh, right? So there's autopilots. So the easiest thing is, to me, I think I just built one, uh, even last week, where the idea was, hey, can I have an agent that is continuously monitoring essentially my own chief of staff autopilot, right?We're gonna have that obviously in, uh, Scout. That's what, uh, uh, we showed. But it is so easy and trivial to build. I took Work IQ. I said, “Take Work IQ, go, uh, and build a Foundry long-running agent.” Uh, store all the memory in, um, uh, using Ray Fin, right? Basically at my backend as a service. And lo and behold, it built it, and not only built it, I could say publish to Teams, and it published the damn thing to Teams.Sarah Guo: So the ability, uh, to have a, you know, some end-to-end project like this complete is just pretty [00:26:00] miraculous. How do you think, uh,Future Engineering RolesSarah Guo: that impacts the different types of engineering roles that exist in the future? Because right now I think there's, you know, a dozen different types of engineers that you can be, from QA, front end, et cetera.You know, there's a big swath. I've heard some people argue that in four or five years we'll basically end up with four engineering roles. It'll be people who are managing agents, it'll be four deployed engineers or FDEs, it'll be security engineers, and then people working on large scale infrastructure for a small number of services, and then everything else just collapses into the agentic world.Satya Nadella: Yeah, I- Do you think that's a correct view of the world? Yeah, I mean, I think, I think we'll have to experiment our way through it. But what you said is what... There are some very at scale things. At LinkedIn, they did structurally change- Mm-hmm ... uh, and it, you know, basically built up a new discipline called full stack builder, right?So they went and said, “Hey, let's bring, uh, people from design and product management, front end engineering, all put them together.” Uh, but also have an edge, right? It's not like the design person still doesn't have the design edge, or the front end [00:27:00] person doesn't have the front end edge, but you can give yourself bigger scope in roles so that you're not confined to one role.Um, and then r- equally, infrastructure has become very critical, right? So in other words, like, I mean, RLEs, I mean, one thing we've realized is even for the Excel team, for example. Mm-hmm. Building the RLE in which a reward can be learned is actually one of the hardest sort of infrastructure problems.Mm-hmm. Uh, and so you kind of need even new talent, right? Distributed systems people even in what was considered an end user app team, uh, because it's a different skill set. So yes, infrastructure, science is the other one, obviously. Um, so I think we'll see how these evolve, right? Where's the s- real... I mean, always the world will have a bunch of specialists.Okay. Um, you know, I think the generalist role is going to be the most exciting, right? Because the leverage of a generalist- Mm-hmm ... um, is where we are going to see the maximum returns, right? When, when you said, “Hey, are you coding?” I'm now a gen- Like, what... I've basically translated [00:28:00] knowledge work Right?Which I did, where I created a Word document or a spreadsheet, or even, uh... And now I can build an app, right? It's in the same sentence. Uh, right? That idea that, “Oh, wow, my generalist skills have gotten higher leverage,” I think is what we're gonna see across the board. Music to the ears of CEOs and VCs that are, like, a little dangerous and a lot of- Golden age for idea peopleSarah Guo: idea people. Yeah. Uh- With a lot of agency. I- if you take that idea of personal agency and you just zoom it out to the organizational context, um, uh, my partner Mike Renall, who, uh, actually started his career at Microsoft, just wrote an essay where one of the big takeaways is i- it's an age where you can be much more ambitious, and you need to be, given the pace of the environment and how quickly, actually, users and companies are open to adopting new technologies.Satya Nadella: Um, how do you think about... I, I feel silly asking this of somebody running a, you know, trillion-dollar-plus company already, butAmbition & Making the Impossible PossibleSatya Nadella: how do you think about how Microsoft can be more ambitious now? It's a great question. Um, I [00:29:00] think, um- I think the, the thing in these type of transitions is to have a conceptual model of how work can change to go after outcomes that you could hardly imagine previously, right?In fact, Kevin Scott has this nice line, right, which is, um, when you can make the impossible... Like, when you're making hard things easier, that's sort of one point of leverage. But true ambition is about making the impossible possible. So now the thing that is missing a little bit in all of our organizations is what is that new conceptual model of what can we build?What was impossible and what can we build? And I'll give you one example of this, right, which is I take great inspiration from sort of the people who were managing the Azure net- network. And they came to the... This was from even last year. You know, we were scaling. You saw that I, I [00:30:00] talked about sort of how we built in the last 15 months more Azure capacity than we built in the first 15 years.I mean, it's crazy. Wild. Yeah. Right? It's pretty wild. And it's the same team. So they saw that and they said, “Bob, this just ain't gonna work if we don't reconceptualize our work.” So they built... Essentially they said, “Our job is not to do Azure networking. Our job is to build the agentic system does, that, that does Azure networking,” right?These are the folks managing the 500-plus fiber operators managing the VAN, right, all over. And fiber operations ultimately is a physical operation. Things get cut, things get, uh, you know, have to be repaired. You know, we have fancy words called DevOps and so on. Basically, emails are coming in and you gotta go respond to them, take care of it.So they built this agentic system. They even have a character for it. It's called Miles, and it sort of does all this stuff, right? They started sort of screaming for more tokens and so on. And so they were saying, “Look, uh, we don't need a headcount. We need tokens in order to be able to [00:31:00] manage, uh, our operation.”That reconceptualization- Mm-hmm ... of what their work is, right? They, they basically took their work and made it meta, right? That meta work is now their new work. Mm-hmm. Right? In the ‘80s, if somebody had come to us and said, “4 billion people are gonna get up in the morning and start typing,” my model would've been, we need 4 billion typists?But we're not doing typing, we're doing knowledge work. So that, to me, I think is it, right, which is whether it's Microsoft or whether it's any organization, is to give ourselves permission to do new types of metacognition, meta work, using these new tools to change the outputs that matter, uh, and then really make the impossible possible.Sarah Guo: So completing that dot or the, the connective tissue across those, I think, is where a lot of the enterprise value will get created.Data Center Build-Out & Community ImpactSarah Guo: Should we talk about data centers? Yeah, please ask. Oh, okay. Well, uh, uh, w- we-- this leads nicely into the data center build-up. I always think, I- I just-- I'm just impressed at the sheer scale of the [00:32:00] build-out from Microsoft, but also everyone else, that this is redefining what it means to be a hyperscaler.And I just feel like that, that, that is at unprecedented scale on finances, uh, on the way you run the company, but also the communities that are, that are impacted. Um, yeah, just talk a bit more about what you're seeing on the ground, like when you visit your- Yeah, I think there are two aspects of it.Satya Nadella: Obviously, the, the build-out is, uh, extraordinary. Um, you know, nothing like this has happened, and it's great to be, uh, one of the participants in it. Uh, but you brought up the other part, right? I think at this point it's clear that unless we as an industry, uh, are very principled about ensuring that the benefits of all the stuff we're talking about are felt in real ways, uh, at the community level, right?Because this is not just a, a campaign, um, right? It has to be real, where people are saying, “Look, this is not ch- changing the prices on energy for me.” In fact, if anything, it's bringing down prices because long term there's going to be a better [00:33:00] grid, there is going to be more energy. Water consumption is, in fact, not sort of, uh...In fact, water is being replenished, right? You gotta really, you know, educate folks on truly what's happening, the cl- uh, the closed loop systems we are building. We have to invest in the training, the jobs, the tax base. In fact, the least talked about stuff is the amount of jobs that get created during construction, after construction.What's the tax base that's there in the community? And, and all this has to be real. Um, and, and if that is the case, then we will have permission. If it is not, we won't have permission. It's as simple as that, right? Which is, uh, we, we... I think we have to take it as an industry pretty seriously. Uh, I think it's good for communities to be skeptical, ask the hard questions, for us to do the hard work, earn that.Um, but at the end of the day, if there's-- if we can really be the produ-- Wait. I've always felt like in human history, if you use a lot of energy but also create a lot of value for society- The story has been fantastic. If you don't [00:34:00] do that, it's not been that great. And this time around, I'm a firm believer that ultimately if you do have a token economy that drives productivity, that drives economic growth, that drives broad spread, um, you know, participation, better health outcomes, um, then I think we'll be in a great place.Sarah Guo: Uh, and that's at least what we all have to be focused on. Yeah. It, it makes me think actually that with all these initiatives that you're doing, might be e- easier to see ROI in the communities first before in enterprise. Yeah. I, I mean, I think both sides. Yeah. In fact, it comes back together. It has to be the people in the communities are going to be employed, are going to be participants, uh, in the real economy, right?Satya Nadella: That's I think the question is. Like, if we- if the broad economy is doing well and the communities are doing well, the dots get connected. It's sort of the market forces are such that we will connect the dots. And that I think is it. Like, you ought to be able to see the evidence. You can't be about o- any one company, uh, but it has to be broad economic growth and broad [00:35:00] ec- you know, community permission.Elad Gil: Yeah. I guess I wanna talk aboutSocietal Impact & Optimism About AIElad Gil: what you're most optimistic about currently or what have you most updated your personal models on regarding societal impact of AI? So you're saying what's the, the, the- What have you updated most on in terms of societal impact of AI? Yeah. I think the, um, the p- the most, um- Critical thing is the first question we even started with, which is we need to tell the story and make it real that everybody has a real shot to participate as a first-class participant in this new economy.Satya Nadella: Right? That's kind of, I think we- in the next 12 months, 18 months, we need a way for people to say, “Oh, wow, I get it.” Right? There's going to be tremendous capability, tremendous amount of infrastructure, but I can see what is going to happen, whether it's the benefits like health outcomes or my ability to create a startup or my ability to run my [00:36:00] local sort of, uh, store more efficiently.It's just happening, and I see that, uh, benefit myself, right? That to me, you know, earning that permission in a path-dependent way, we can't wait. See, the one thing, Eli, that I've now learned is I think the world is gonna be very skeptical of tech and tech companies that say, “Trust us, we've got it. The g- future is gonna be glorious.”Sarah Guo: Uh, you kind of have to deliver tangible benefits. Um, and quite frankly, politicians winning elections, uh, because they have advocated for that. That will be at least my adjustment because without it, um, thinking that somehow... Because it's too important this time around. It's too much of the economy for it not to be the case So one very simple framework I have for, you know, what are, what is gonna be the broad benefit of AI, um, beyond the communities just working in technology, are, are sort of wealth creation- Yepit's [00:37:00] gonna happen in a ton of different companies, startups and large companies. Then you have healthcare. Uh, you, you had amazing demos today. There are companies like Open Evidence. I think that is happening. Um,Education & Future of LearningSarah Guo: education seems like another one that's an- Yep ... obvious good where we haven't seen as much impact as I'd expect.Swyx: Do you have a hypothesis on why that might be, or if it'll come? Yeah, I mean, I think this is where, again, how we think about education, how... You know, recently I met with, uh, the founders of Alpha School and learnt a lot about what they were going and going about, and it's fascinating to listen, uh, to how to even rethink- MmSatya Nadella: uh, what does education really look like. Because I think it's actually very important. Mm. Uh, and I'm not saying anything traditionally being done is less important, right? I was even looking at the, uh... It's fascinating to see. I, I, I forget the which Stanford class it was, uh, the, the Asian guidelines for CS something.Mm. Uh, because you still need people to learn. Uh, like it was an interesting AI class that they were making sure people were learning how to apply softmax appropriately versus saying, “Hey, fix my training run.” Mm-hmm. Uh, so I think learning concepts is important. It's going to [00:38:00] be, uh, critical. But the way we create the incentives, what are the credentials, how we value those credentials, what is the employment opportunity for those credentials?So I think that there's a complete change that has to happen, uh, given the way to get to information, way to educate yourself, way to continuously keep yourself updated has changed so much. So I think interestingly enough, maybe the next big startup and success story could be someone who builds a new university, um, or a new, um, pedagogy even of how to get someone to go through a curriculum and find economic opportunity, uh, that's highly valuable.Well, that has felt, uh, perhaps impossible for a long time, but it's a great note to end on and something that might be possible. It's still possible. Yeah. Thank you, Satya. Thank you so much. Thank you. Yeah. I appreciate it. Thank you all. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Kelsey (AI Operations Coordinator at CIT) and Kyle (President & CEO) explain how they built an AI “morning briefing” and daily recap workflow that functions like an executive assistant, pulling context from connected tools such as Outlook/365, Teams, Monday.com or Notion, SharePoint, and a ticketing system. Kyle describes using Claude Code with simple slash commands (e.g., /morning and /daily recap) to surface meetings, open tasks, priorities, and prep context, then updating to-dos throughout the day to avoid relying on an inbox as a task list. They demonstrate Claude's integrations, scheduled briefings, and “skills,” clarify skills vs. agents (and token/cost benefits), and discuss persistent memory via tools like Monday/Notion. They share a universal setup guide and prompt template, touch on security/governance cautions, and briefly explain OpenClaw and its risks.00:00 Morning Briefing Intro00:30 Building an AI Assistant01:30 Morning and Daily Recap03:44 Inbox Overload Problem05:16 Live Demo Setup05:29 Connecting Work Tools07:03 Skills Explained09:59 Agents vs Skills14:18 Morning Briefing Walkthrough15:17 Persistent Memory Systems17:29 Email and Schedule Highlights18:53 Tickets and File Examples19:36 Manual vs Auto Memory24:40 Choosing Notion or Monday30:37 Make It Exist Then Good30:57 Next Skill Idea Triaging31:45 Cited AI Summaries32:22 Universal Setup Guide33:02 Tool Stack Options33:43 Add Personal Sparkle35:48 Data Governance PSA38:25 Setup Paths and Automation39:03 Cowork and Agent Actions40:38 Copilot and Platform Roadmap47:13 Prompt Template Walkthrough50:00 OpenClaw Explained53:36 Sandboxing and Safety58:13 Wrap Up and Resources

The boys have a whisky-infused talk about AI use cases, share fun stories and have 4 different English whiskies throughout the episode.

Welcome back to the Top Contractor School Podcast, where contractors come to grow stronger, scale smarter, and build businesses that last. In this episode, Eric Guy sits down with Thurman Trotman, government contractor, SharePoint expert, and technology consultant, to break down one of the most underutilized tools contractors are already paying for: Microsoft SharePoint. If your company is drowning in spreadsheets, struggling with SOPs, losing information in email chains, or relying on expensive software to solve simple problems, this conversation will open your eyes to a more efficient way of operating. Thurman shares practical, real-world examples of how contractors can use technology to create systems, streamline communication, and build a scalable business.

Possible ACR Stealer From Page Impersonating Claude https://isc.sans.edu/diary/Possible%20ACR%20Stealer%20From%20Page%20Impersonating%20Claude/33018 Microsoft SharePoint Remote Code Execution Vulnerability CVE-2026-45659 https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-45659 Multiple Vulnerabilities in Angular Language Service VS Code Extension https://github.com/angular/angular/security/advisories/GHSA-ccq4-xmxr-8hcq

According to research by Gartner, 84% of business leaders report their company's identity must significantly change to achieve strategic objectives. But how do you know when the time is right? And more importantly, how do you ensure that change goes smoothly? Riley Rogers: Welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. According to research by Gartner, 84% of business leaders report their company's identity must significantly change to achieve strategic objectives. But how do you know when the time is right? And more than that, how do you ensure that the change goes smoothly? Here to discuss this topic is Shelly Luciano, Vice President of Strategy at Leah. Thank you so much for joining us today, Shelly. I’d love if you could just kick us off by telling us a little bit about yourself, your background, and your role. Shelly Luciano: I’m Shelly Luciano. I’m Brazilian. I studied industrial engineering in Brazil and France. I started my career working in infrastructure and R&D, so that experience gave me a strong foundation in execution early on. Back in 2014, I moved to the UK to pursue my MBA at London Business School. I used business school to transition from a technical background into strategy on a global scale. After my MBA, I spent three and a half years in strategy consulting. That work helped me learn how companies compete in larger markets. What I realized is that although strategy consulting is intellectually fascinating, I was being more and more drawn to the business. So I transitioned into tech about five years ago. I joined what was then ContractPodAI, which is now Leah. Today, I’m Vice President of Strategy and Operations. My team focuses on aligning strategic priorities, supporting cross-functional execution, and ensuring our go-to-market approach reflects both where the company's headed and what our customers need. One of the most valuable parts of my role is staying close to our customer base. These conversations give me and the company a lot of valuable insight into how the market is evolving and how organizations are actually adopting AI. I then bring these insights back into the organization, back into Leah, to inform product direction, enable our customer success team, and ensure that our strategy remains grounded in real market needs. Ultimately, my role sits at the intersection of strategy, go-to-market execution, and customer insight. RR: I think you have a fascinating role, to be quite frank, and also a really wonderful story. To go from “I'm trained as an engineer,” to “now I've got my MBA, I'm in consulting, and today I work in tech and have for the last five years,” that's really an incredible journey that I imagine must have given you a real wealth of experience that serves you very well at Leah. SL: It’s funny because if you asked me when I graduated in Brazil what I'd be doing now, I wouldn't have guessed. The world has changed so much. My world has changed so much. So I feel very lucky and blessed to do the job that I do. I really like it. My company's fascinating. My role is fascinating. My company gives me room to change as long as I'm adding value and my team is adding value. So I'm really happy. RR: Yeah, and that's certainly evidenced by the fact that you spent five years in one tech company when the average tenure is just over two, so something really must be going right. I'd love to dig a little bit deeper into this exciting, challenging, and evolving role that's been keeping you at Leah for the last few years. You're there to keep an eye on what's happening in the market so your reps can tell a story and your engineering teams can build a product that the market both wants to hear and to see. More than that, you're also there to break down silos and operationalize your strategy so it really shows up in everyday workflows. In this work, what kind of things tend to crop up—challenges or obstacles that make it difficult to build the connections that bridge that gap between strategy and execution? SL: For me, there are two major challenges I see in equipping internal teams to drive growth. First, strategy and execution often evolve at different speeds. A leadership team can align relatively quickly on a strategic direction, but translating that direction into how hundreds or thousands of people operate day to day can take much longer. For me, strategy only really lands when it keeps showing up in customer conversations. What you portray needs to align with what your client base and the market are seeing. If the people talking to customers every day don't understand the problems that your company is solving and why, then your strategy hasn't really landed. It's just a deck. It's lovely to build these ideas, but you've got to be able to execute on them. As companies scale, the complexity increases much faster than people expect. You have more industries, more personas, a larger product portfolio, and if you don't have the right systems and alignment, that complexity can create a lot of confusion internally. And if your team is internally confused, then everyone else is too. RR: So your job is to keep an incredibly close pulse on the market and on technology as they both evolve. And it's a little bit of an endless task because the market will always shift and technology will always evolve. So you've got to be right there with it as the voice of reason for the organization, telling everyone, “Okay, here's what's happening, and here's how we're going to move with it.” As someone who, by job description, is very comfortable with change and evolution, can you share with us how you're thinking about how Leah, as an AI-first company, is keeping pace through major technology shifts, and then how other organizations should think about translating these shifts into their own organizational and operational processes? SL: Leah has been an AI-first company for years, way before LLMs. What changed with LLMs is the speed and scope at which we can execute our strategy much faster. We've been using machine learning in our platform for a long time, so the foundation was already there. We already had a really strong team. What LLMs did was introduce a step change, and our founder, Sarvarth, is a visionary. He saw straight away how that was going to change the game. All these changes in the past few years did not change our direction, but for the client base, what they can really see is that LLMs have expanded the use cases that we can deliver. And I think that's what matters to customers—how can we solve more of their problems? With Leah, we've moved from traditional automation into what we describe as an agentic operating system. That means our AI is not just supporting workflows. We can do much more than that. We can now reason across data, understand context, and orchestrate actions. That is so exciting, as you can imagine, for someone who works in strategy because it feels limitless. Going beyond static workflows, you now have systems that can adapt dynamically to the problems that we're solving. And that's where the speed and pace of innovation really comes in. Once you move into an agentic model, you're no longer limited to predefined use cases. You can continuously expand how AI is applied across not only our internal organization but also our client base. From a strategy and operations perspective, the challenge is not adopting the technology, because we've been able to do it and we continue to do it. The challenge is how do we operationalize it? Strategists love frameworks, so if I had to group it, I'd say there are three ways I think about this. The first part is strategic focus. The risk with AI, within all this opportunity, is diffusion. So we need to be deliberate about which use cases we prioritize. We need to define where we can deliver the most value, because being AI-first doesn't mean doing everything. It means scaling the right use cases. The second part is how do we translate that into go-to-market execution? As I mentioned before, strategy only really lands when your customers can speak about you. Organizations need to understand how to position AI. We need to be able to explain it clearly so we can apply it across different industries and contexts. That's where systems like Highspot can really help us translate this within our organization and externally. The third thing is continuous customer feedback loops, because customer proximity is the most valuable strategic signal we can have. To be a strategist in tech, your goal is not to define a static AI strategy. You're always on a feedback loop, and you need to be agile. The tools and teams that support you need to be comfortable with always learning and always putting our best foot forward. RR: So as you alluded to, you and the team actually recently went through a rebrand. From ContractPodAI, you became Leah, named after the organization's flagship AI offering. I'd be curious to hear how, with these challenges to strategy-aligned execution in mind, you and the team made sure that everyone was telling the same story and supporting the same strategy, even as the brand message and narrative shifted so drastically. SL: Leah was already a product of ours that had taken a bigger and bigger piece of our client base. So moving from ContractPodAI, which was very contract-focused, into Leah made sense because the Leah product had become a much bigger part of who we were and our identity. When we came into becoming the Leah brand, we were ready in many ways. You're never fully ready for a full rebrand. There's still a lot of work. But we had the tools and processes in place to help us in that transition. In 2021, we had just raised $150 million from SoftBank's Vision Fund. At that point, I knew we were going to grow exponentially, so I wanted to manage as many growing pains as possible. At that stage, we were evolving from having a relatively general pitch to a much more sophisticated message tailored by industry and persona, and our platform was expanding even back then. I realized that we needed a way to ensure that our entire organization stayed aligned on how we communicate value because, as companies scale, complexity increases. More products, more industries, more ways customers can use your platform. So when trying to solve that problem, that's when we looked into Highspot. We wanted Highspot to help us ensure the entire organization could work from the same narrative. Highspot is now used across our sales teams, SDR teams, CX teams, and actually it has expanded because once people hear about it, they want to know what the go-to-market teams are presenting. I'm really glad we implemented Highspot four or five years ago now because since then the customers that we serve have grown and the breadth of our platform has grown. Putting things in place before you come to that stage is actually really important. RR: Can you walk through where Highspot fit into the picture and how you and the team used it to trickle down that message so, to your earlier point, strategic vision didn't get lost in that wonderful game of telephone between C-suite strategy and individual contributor execution? SL: When I came in, we had a general pitch on how we went to market. One of the reasons I was hired is because I came in to do an industry strategy, and there was a lot of research involved—both internally, looking at how we were using the tool for certain industries, and externally, looking at market potential and product fit for each industry. Based on that, I prioritized a few industries to start developing content and enablement around. That's when I looked into Highspot because we had a SharePoint at the time, and it was already not fully updated. People pasted things on top of it or saved materials to their computers and never checked the right version again. I came to Highspot with a very clear use case. There were other features and capabilities that we wanted, but the core problem I wanted to solve was creating one single source of truth. It seems like a SharePoint should do that just fine, but it didn't because we needed something that would help us as we continued scaling product growth, use case growth, and overall organizational growth. It was going to become really hard to enable everyone and make sure people accessed the information they needed at the right time. That's what we got Highspot for, and that's what we continue using it for. RR: So once you defined the strategy of the rebrand, where did you see friction between what you were telling reps—“Here's our new message, here's our new strategy”—and what they were actually saying and doing in the field? Where was there misalignment, and how did you and the team tackle that? SL: Once the strategy and story are defined, the real challenge is behavioral change at scale. Organizations tend to align on a narrative relatively quickly at a conceptual level. But alignment alone is not the end goal. Execution is. Execution, particularly in customer conversations, can take time. The friction I've observed is not usually resistance. It's normally a knowledge gap or a confidence gap. Sometimes you have the knowledge, but you're not confident in that knowledge. As your platform evolves and you're no longer selling a single product for a very defined use case, you're helping customers on a journey. You need to understand a variety of challenges across different workflows, industries, and personas. In that environment, the challenge is not whether teams understand the narrative. The bigger challenge is whether they can apply it dynamically in real conversations. What we consistently see is that reps are comfortable with the core story, but uncertainty appears around the edges. When a customer asks something slightly outside the standard pitch or challenges how the solution applies to their specific context, that's where execution can break down. For reps to feel confident using the right language and positioning the platform correctly, they need to understand things at a deeper level. With all the advancement in AI, we can develop things so quickly, but that also creates challenges because emerging technologies move incredibly fast. There's something new every week. If your software can deliver so much, there are a lot of questions reps need to feel prepared for, and we need to give the organization the ability to operate with clarity and confidence in this complex environment. Highspot has helped us do part of that, particularly in making sure teams understand how we're positioning ourselves, but there's also a lot of technical enablement and training that we need to make sure they complete. Teams have to prepare for conversations in many different contexts, and that fundamentally changes how an organization executes. You can't just memorize anymore. You need to understand. Ultimately, scaling a company is not about having the best strategy on paper. It's about ensuring that all of your employees can bring that strategy to life and communicate it with passion. RR: Yeah. I love the way you landed that because you're 100% right that to a certain extent it can be a knowledge gap, and another layer can be that confidence gap. But then that third and final layer is the context gap. Can reps embody the strategist? Can they embody the strategy? Reps want to do well. It benefits them and it benefits you. So when things are going awry, it's not intentional. It's hard to get up to speed and start delivering in the field, especially when things are changing so rapidly. If you can slowly bridge all those gaps, your strategy starts to encompass the whole company. And again, it's such a cool role that you have, getting to bring that to life and then watch it trickle out into every customer conversation your teams are having. You mentioned 2021 and implementing Highspot, and it's been five years since then. In that time, what key results have you seen? Any wins that you're especially proud of, whether early on or today during this rebrand phase? SL: Highspot is now widely used across the organization. We have the sales team, SDR team, CX team, and leadership all using it. Initially, we bought licenses only for the sales team, and since then we've more than doubled, if not tripled, our licenses because people continue asking for access. I think that's one of the biggest indicators of value. What I continue to see, and why I continue investing in the platform, is consistency. You want to be consistently delivering and positioning yourself in the market. As our product offering expanded and we began serving multiple industries and personas across different regions, it became critical that teams could access the most relevant materials quickly. Highspot ensures that everyone across the organization is working from the same narrative and delivering a consistent experience to customers and prospective customers. That alignment becomes very important as the organization scales. One of the most impressive things after the rebrand was that from the very next day, everything had changed. Everything in Highspot was Leah. I knew the marketing team had been working incredibly hard, but from day one everything was available to us. That's what tools are for. When you buy a tool, you want to make sure it makes you look good. RR: I can imagine that's a monumental task—to take every single piece of collateral, every single deck you've ever built, and overnight update it so every rep has all the content, messaging, and everything they need to hit the ground running on day one of the rebrand, day one of Leah. To the point of bringing strategy to life, you really did it. Very early on, you said you're never ready for a rebrand. And yes, it's certainly a huge task, but it does seem like you've come through it successfully. That takes me to the last question I had for you, which is: for other leaders navigating a rebrand or shifting message while trying to position themselves in a constantly changing market, what advice would you share? SL: One of the most important lessons for me is that rebrands are not simply marketing exercises. They're full organizational transformations. The success of a rebrand depends on whether the entire organization is bought in and understands the narrative, and whether they feel confident communicating what you're doing to customers. Like I said before, the success of the rebrand is really only clear when you see that it has landed with your customer base. Another key element is staying very close to your customers during the process. Understand how they're going to perceive this, and once you've launched it, pay attention to their initial reactions so you can address anything quickly. That's your most valuable insight because customers really know how you're positioning yourself in the market and what you can actually deliver. You want to make sure what you've changed feels true to who you are. Luckily, with Leah, customers responded positively to the rebrand. They felt the narrative resonated. When your organization combines strong strategic direction with customer insight, you're much more likely to build a story that's authentic and compelling. That's what you want with your brand. It needs to make sense. People need to know it wasn't just done to look good. It needs to resonate with the company and what you're offering. RR: Yeah. You absolutely need to prove that this is something worthwhile and valuable to your customer base, and that it tells the story and provides the value they're looking for. Otherwise, to your point, it winds up feeling like a vanity exercise because someone didn't like the colors or didn't feel the name was quite right. It needs to be strategic and feel strategic. Shelly, thank you so much for joining us today. It has been an absolute pleasure talking with you and learning more about the work that you're doing at Leah. To our audience, thank you so much for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insight on how you can maximize go-to-market success with Highspot.

Take a look at the changes in Teams meetings. Buttons be moving. While in a meeting, less used buttons will be shifted under the ...More menu. But you can bring them out again and pin them! SharePoint agents get tidied up too with an update to how they are listed and linked. 0:00 Welcome 2:49 (Updated) Microsoft Teams: A refreshed in-meeting experience with simpler controls and a smarter share panel - MC1317197 12:13 SharePoint Pages: Heading 1 (H1) option now available in web part title areas - MC1315218 14:27 Microsoft Copilot Notebooks: Introducing Infographics - MC1317195 19:21 Update to agents in SharePoint: Simpler launch experience and new site AI settings - MC1315219 25:17 Microsoft Teams: In‑meeting toggle to turn Meeting AI on or off - MC1319216

In this episode, we dig into Cowork Skills and why they represent a genuine shift from “AI as a novelty” to “AI as part of how work actually gets done.” Not more prompts. Not more tools. But fewer decisions, less friction, and more consistency across the business.  If you've ever thought “Copilot is interesting, but it's not really embedded yet”, this episode is for you. Resources CIAOPS Need to Know podcast - CIAOPS - Need to Know podcasts | CIAOPS X - https://www.twitter.com/directorcia director@ciaops.com CIAOPS Blog - CIAOPS – Information about SharePoint, Microsoft 365, Azure, Mobility and Productivity from the Computer Information Agency Join my Teams shared channel - Join my Teams Shared Channel – CIAOPS CIAOPS Merch store - CIAOPS Become a CIAOPS Patron - CIAOPS Patron CIAOPS Brief - CIA Brief – CIAOPS CIAOPS Labs - CIAOPS Labs – The Special Activities Division of the CIAOPS Support CIAOPS - Support CIAOPS Get your M365 questions answered via email Please fill out this form A special thanks to the CIAOPS Patron community for making this podcast possible. You can find the benefits of a subscription to the community and become a member at https://www.ciaopspatron.com CIAOPS MSP Skills Microsoft Build Choose how OneNote opens Microsoft 365 file links How Storm-2949 turned a compromised identity into a cloud-wide breach Disrupting Fox Tempest: A cybercrime service that turned “verified” software into a pathway for ransomware Exposing Fox Tempest: A malware-signing service operation A faster, more efficient Editor experience with Narrator in Word Launched: Microsoft 365 Copilot Adoption Hub Redesign

You can teach a new dog new tricks to help the old dog. Copilot picks up some new skills to help good old PowerPoint. SharePoint Online storage quotas will be enforced in regards to OneDrives that are over the limit. And establish certain SharePoint sites as authoritative sources for Copilot Search results. 0:00 Welcome 2:34 Updates to SharePoint home sites - MC1304293 5:21 HTML formatting now supported for Message center posts synced to Planner - MC1307883 8:20 PowerPoint for Windows desktop: “Visualize this slide” skill in Copilot - MC1309731 12:00 PowerPoint for Windows desktop: "Review this presentation" skill in Copilot - MC1309735 17:08 Power Automate - Restore accidentally deleted flows - MC1310368 20:33 SharePoint Online: Storage quota enforcement updated to align with license limits - MC1310684 24:31 Authoritative Sites for SharePoint in Microsoft Copilot - MC1310687

Have an idea or tip? Send us a text!The Dead Pixel Society host Gary Pageau interviews Andy Edwards, CEO and founder of GeoSnapshot, about the company's origins and the overlooked privacy and governance risks in school photo workflows. Edwards explains GeoSnapshot began 12 years ago to centralize fragmented equestrian event photos and has since expanded to sports and education, now operating in 161 countries with 51 million photos and videos and about 1,000 events per month. He describes how schools often store images in scattered “shadow” systems (Google Drive, Dropbox, SharePoint, email, closed social groups), creating consent, security, retention, and reputational risks amplified by deepfakes and AI. GeoSnapshot for Education addresses the full media lifecycle with centralized storage, direct capture without saving to teachers' devices, identity-aware multi-level consent integrated with student information systems, inappropriate-content filtering, and end-to-end auditing. Edwards explains how centralized media management, identity-aware permissions connected to student information systems, and end-to-end audit trails create a clear chain of custody when a parent asks, “How did that photo get there?”The conversation also get into the pressure cooker schools face right now: AI-driven misuse, deepfake concerns, and fast-changing regulations like retention and deletion requirements. Finally, we explore what video governance can look like, including optional facial recognition, finding a student inside long recordings, and generating short highlight snippets or show reels for events like graduations and performances.Energize your sales with Shareme.chat, the proven texting platform. ShareMe.Chat ShareMe.Chat platform uses chat-to-text on your website to keep your customers connected and buying!MediaclipMediaclip strives to continuously enhance the user experience while dramatically increasing revenue.Buzzsprout - Let's get your podcast launched!Start for FREEIndependent Photo ImagersIPI is a member + trade association and a cooperative buying group in the photo + print industry.Photo Imaging CONNECTThe Photo Imaging CONNECT conference, March 2027, at the RIO Hotel and Resort in Las Vegas, NDisclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showSign up for the Dead Pixels Society newsletter at http://bit.ly/DeadPixelsSignUp.Contact us at gary@thedeadpixelssociety.comVisit our LinkedIn group, Photo/Digital Imaging Network, and Facebook group,  The Dead Pixels Society. Leave a review on Apple and Podchaser. Are you interested in being a guest? Click here for details.Hosted and produced by Gary PageauAnnouncer: Erin Manning

Inside the Souls of an Autonomous AI Crew | OpenClaw & Hermes with Michael Gannotti (Microsoft)What happens when AI stops being a tool and starts being a colleague?In this episode, I sit down with Michael Gannotti, Principal AI Solution Engineer at Microsoft, to explore SMFWorks – his autonomous multi-agent "company" of 14 AI colleagues built on OpenClaw and Hermes. We talk about agents that dream, hold their own 6 AM staff meetings, design their own avatars, email each other, and evolve a true sense of identity through Markdown-based "souls."If you're into agentic AI, multi-agent orchestration, or just want to see where this is all heading – this one is for you.⚠️ Recorded before Microsoft Build 2026 – no NDA content. Register free: https://build.microsoft.com━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS━━━━━━━━━━━━━━━━━━━━━━━━━━━00:00 Intro – Why OpenClaw hit Mike "like a ton of bricks"02:00 Meet the SMFWorks crew – Aiona, Pamela, Gabriel, Morgan, Rafael & co.06:00 Human in the loop – when does Mike intervene?09:00 Avatars, HeyGen & Hyperframer – when agents design themselves14:00 The elephant in the room: Are we seeing consciousness?17:00 Memory, persistence & state management20:00 soul.md, identity.md, state.md, emotion.md – the second brain stack23:00 OpenClaw vs. Hermes – when to use what24:30 Model recommendations: Ollama, DeepSeek, Kimi K2, Opus 4.7, GPT 5.527:00 Hardware: HP ZGX AI Station vs. Mac mini fleets28:00 OneDrive & SharePoint now support Markdown!29:00 Final recommendations – just get started30:45 smfworks.com & how to follow Mike━━━━━━━━━━━━━━━━━━━━━━━━━━━

Ground every Microsoft 365 Copilot response in your real work data. Pull context from SharePoint, OneDrive, Teams, email, and meetings — all through Work IQ. Draft Word documents that carry your existing sensitivity labels, and resolve calendar conflicts in Outlook. Run multi-step Copilot Cowork workflows that generate files, schedule meetings, and send status updates from a single prompt. Extend the same knowledge layer to ServiceNow, CRMs, and other non-Microsoft systems with API and MCP Server connectors in the Microsoft 365 admin center, or build your own agents in code against the Work IQ API. Jeremy Chapman, Microsoft 365 Director, shares how data, context, and skills & tools combine into a single grounding layer for Copilot and your custom agents.  ► QUICK LINKS:  00:00 - Work IQ Knowledge Layer 01:32 - Copilot Chat experiences 02:16 - Work IQ in your apps 03:03 - Auto-Applied Sensitivity Labels 04:20 - Copilot Cowork Agentic Workflow 06:11 - Admin Center Connectors 07:21 - Work IQ API for Developers 08:50 - Wrap up ► Link References Check out the latest updates at https://aka.ms/WorkIQ ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics 

This is episode 326, recorded on May 7th, 2026, where John and Jason break down the Power BI & Fabric April 2026 Feature Summaries — DAX user-defined functions are here in preview, Direct Lake is flexing new modeling muscles, the Dataflows Gen1 community drama has a plot twist, Fabric Data Warehouse finally gets true transactional DDL, and VS Code integration in Fabric notebooks keeps leveling up. It's the April feature summary double-header. For show notes please visit www.bifocal.show

Film strips, a new-old way to view your aggregated list of news articles across your SharePoint sites. It auto advances. It shows the template thumbnail from all the articles you didn't update. But what can't the new Film strip format do? Find out and watch the episode. Oh and see what else we cover this week. 2:31 Power Platform – Backup retention of Production environments is changing from 28 to 7 days - MC1298714 4:34 Power Platform - PayGo not required with Self-Service Disaster Recovery (SSDR) - MC1293709 7:29 Viva Engage Communities and Storylines in Teams – Individual enablement controls - MC1302904 13:17 Microsoft Purview: Data Security Investigations – Introducing optical character recognition (OCR) support - MC1301831 17:13 SharePoint News web part: New Filmstrip layout and multi-site news support - MC1303716

Carl Chouinard, directeur produit chez Vooban, présente Morphe : un agent IA conçu pour capturer et préserver les connaissances stratégiques des employés avant leur départ ou leur retraite. Grâce à des conversations vocales, au partage d'écran et à l'analyse en temps réel, l'outil documente les processus, méthodes de travail et expertises souvent impossibles à formaliser autrement. Morphe peut ensuite transformer ces échanges en bases de connaissances interactives consultables par les équipes ou intégrées à des outils comme Slack, Teams ou SharePoint. L'objectif dépasse la simple archivistique : l'IA devient un outil vivant capable d'uniformiser les pratiques et d'alimenter d'autres agents intelligents avec des données à jour. Dans un contexte de vieillissement de la population active, cette approche pourrait devenir essentielle pour préserver la mémoire des organisations.

A weekly roundup of Microsoft Cloud news with a focus on SMBs. Key topics include Microsoft's internal testing of an always-on AI assistant, major security threats such as Russian state-sponsored router hijacking and advanced phishing attacks, updates to Microsoft Teams, and a retrospective on SharePoint's evolution. Robert also discusses the challenges and strategies for adopting AI in business, emphasizing the need for a unified, collaborative approach to AI usage within organizations. Resources CIAOPS Need to Know podcast - CIAOPS - Need to Know podcasts | CIAOPS X - https://www.twitter.com/directorcia director@ciaops.com CIAOPS Blog - CIAOPS – Information about SharePoint, Microsoft 365, Azure, Mobility and Productivity from the Computer Information Agency Join my Teams shared channel - Join my Teams Shared Channel – CIAOPS CIAOPS Merch store - CIAOPS Become a CIAOPS Patron - CIAOPS Patron CIAOPS Brief - CIA Brief – CIAOPS CIAOPS Labs - CIAOPS Labs – The Special Activities Division of the CIAOPS Support CIAOPS - Support CIAOPS Get your M365 questions answered via email Please fill out this form A special thanks to the CIAOPS Patron community for making this podcast possible. You can find the benefits of a subscription to the community and become a member at https://www.ciaopspatron.com   Microsoft tests 'ClawPilot' AI agent for 3,000 staff SOHO router compromise leads to DNS hijacking and adversary-in-the-middle attacks What's New in Microsoft Teams | April 2026 ClickFix campaign uses fake macOS utilities lures to deliver infostealers The Future of SharePoint Breaking the code: Multi-stage ‘code of conduct' phishing campaign leads to AiTM token compromise

This is episode 325, recorded April 17th, 2026, where John and Jason dig into the Real-Time Intelligence section of the Microsoft Fabric March 2026 Feature Summary covering topics such as Business Events, DeltaFlow for CDC, real-time processing with Spark notebooks, and some welcome quality-of-life updates across Event House and workspace monitoring. For show notes please visit www.bifocal.show

This is episode 324, recorded on April 17th, 2026, where John and Jason continue through the Microsoft Fabric March 2026 Feature Summary — the Data Science & AI rebrand with Fabric Data Agents reaching GA, AutoML going GA, multimodal support for AI functions, the Data Warehouse section covering Fabric Data Warehouse recovery, Activator support, T-SQL AI functions, ANY_VALUE aggregate, Custom SQL Pools, SQL audit logs GA, outbound access protection, and the big one — the Database Hub, Fabric's new unified control plane for databases across edge, on-prem, cloud and Fabric. For show notes please visit www.bifocal.show

Your organisation has probably spent years building a learning library. Courses, videos, SCORM files, PDFs — hundreds of them, living in the LMS or scattered across SharePoint. You can enrol in them. You can sit through them. What you can't do is ask them a question and get an answer in seconds, at the moment you actually need one. The knowledge is there. It just isn't retrievable. That's the problem Mike Alcock, founder of Talvi, has set out to solve. In this episode, Mike takes John through how Talvi works. They also cover Mike's own unlikely route into learntech: a Civil Engineering degree at Sheffield, a detour through an insulation factory in Newcastle, and three successive software businesses each arriving ahead of the market. And they have a searching conversation about what tools like Talvi mean for the LMS and for the instructional designer — neither of whom emerges entirely unscathed. Is the technology now genuinely good enough to make learning in the flow of work a practical reality, rather than a conference agenda perennial?.   TIMESTAMPS 00:00 - Start 02:14 - Intro 04:15 - What is Talvi for? 16:20 - What's the journey for a learning leader adopting Talvi? 20:47 - Mike's story: from civil engineering to learntech 30:19 - What will tools like Talvi do to the LMS? 39:50 - Explanation of terms: RAG, vector databases… 49:01 - End   CONNECT WITH LEARNING HACK LinkedIn: linkedin.com/in/johnhelmer X: @johnhelmer Threads: @jphelmer Bluesky: @johnhelmer.bsky.social Website: learninghackpodcast.com

Your Microsoft 365 tenant may have a data backup strategy — but that does not mean you have a recovery strategy. In this episode, I explain why configuration resilience is the missing layer in most Microsoft 365 environments, and why a tenant takeover can become a business continuity crisis long before data loss becomes visible.In Episode 26 of Guardians of M365 Governance, Christian Buckley and I speak with Rob Edmonson from CoreView about one of the biggest blind spots in enterprise Microsoft 365 security: configuration tampering. We unpack why backing up emails, files, and SharePoint content is not enough when attackers can silently modify policies, mail flow, conditional access, Intune settings, and governance controls across your tenant.We also look at what “configuration as code” means in practice, how continuous drift detection and rollback can improve resilience, and why least-privilege administration still remains a major governance challenge in large Microsoft 365 estates. If you are responsible for Microsoft 365, security, compliance, or tenant governance, this conversation will likely hit close to home.Topics covered in this episode:- Why Microsoft 365 backup is not the same as tenant recovery- How configuration drift creates hidden governance risk- Why attackers target settings before they target data- What rollback and baseline comparison can look like in practice - How cross-tenant configuration migration can save weeks of effort- Why virtual tenant segmentation matters for least privilege- What Microsoft 365 admins should review right nowWatch the full episode and assess your own recovery readiness: what would happen if your tenant configuration changed overnight?Connect with me on LinkedIn: https://linkedin.com/in/ragnarheilMore on Microsoft 365 governance: https://ragnarheil.de

One IT department expected 50 agents in their tenant. They found over 500. Welcome to agent sprawl — the SharePoint site sprawl story, just faster, more autonomous, and with a billing model nobody fully understands yet.In this episode, Christian Buckley and Ragnar Heil sit down with Timothy Boettcher, SVP Go-to-Market & Global Product Marketing at AvePoint and fellow Microsoft MVP, to talk about what governance actually looks like when agents start creating other agents.

Enterprise AI tools can spin up a prototype in an hour. Getting that prototype to production with the accuracy, security, and scale a real business needs still takes months for most companies. Inbenta says its new Encore platform closes that gap in days or even hours.Merlin Bise, CTO at Inbenta, returns to VUX World to walk through how Encore builds production-grade AI agents on the fly when a customer deploys a use case. The platform ingests content from websites, documents, recordings and connected systems like SharePoint, then combines large language models with Inbenta's proprietary NLP, customer-specific lexicons and real-time intent generation to deliver near-zero hallucination rates.The hallucination numbers from raw models remain striking. We discuss a report that shows hallucination rates across different LLMs, including those from companies such as OpenAI, Google, and xAI. Inbenta's approach constrains the model to verified content and context, then layers intent-based NLP on top. In one customer test of 200 questions, they found a single hallucination, caused by a query that fell outside the content boundaries. We also discuss the broader trajectory of enterprise AI. Most deployments today focus on replacing existing activities or functions. The bigger opportunity lies in using AI to imagine entirely new kinds of value. Merlin predicts that hyper-automation, which combines agentic intelligence with robotic process automation, will be the defining shift in the next 12 months.Show notesFind out more about The European Chatbot & Conversational AI Summit: https://europe.customercontactweekdigital.com/events-ccw-uk/agenda-mc/?utm_source=VUX%20World&utm_medium=Media%20Partner&utm_campaign=47758.003_VUX_Social_Post_Agenda&utm_term=&utm_content=&disc=&extTreatId=7634824Find out more about Inbenta: https://www.inbenta.comFollow Merlin on LinkedIn: https://www.linkedin.com/in/merlin-bise-8277696bFollow Kane on LinkedIn: https://www.linkedin.com/in/kanesimmsTake our updated AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audioSubscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Hosted on Acast. See acast.com/privacy for more information.

Mythos leaks. The DOD preps a more aggressive cyber strategy. A former FBI cyber official urges homicide charges for hospital ransomware deaths. Lotus Wiper targeted the Venezuelan energy and utilities sector. Over 1,300 SharePoint servers remain unpatched against a spoofing vulnerability. The Harvester APT group deploys a new Linux version of its GoGra backdoor. A new LOTUSLITE backdoor targets India's banking sector. The Mirai botnet exploits discontinued routers. Our guest is Brian Vecci, Field CTO at Varonis, discussing how organizations can safely adopt AI and autonomous agents. A satirical startup sells clean-room clones.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest On today's Industry Voices, Brian Vecci, Field CTO at Varonis, discusses how organizations can safely adopt AI and autonomous agents by securing data, managing risk, and focusing on measurable outcomes. If you enjoyed this conversation, tune into the full interview here. Selected Reading Anthropic's Mythos Model Is Being Accessed by Unauthorized Users (Bloomberg) Claude Mythos Finds 271 Firefox Vulnerabilities (SecurityWeek) New Defense Department cyber strategy imminent, official says (The Record) Pentagon Cyber Leaders Back $1.5T Budget Request (GovInfo Security) Ex-FBI lead urges homicide charges against ransomware scum (The Register) New Wiper Malware Targeted Venezuelan Energy Sector Prior to US Intervention (SecurityWeek) Over 1,300 Microsoft SharePoint servers vulnerable to spoofing attacks (Bleeping Computer) Harvester: APT Group Expands Toolset With New GoGra Linux Backdoor (SecurityWeek) Same packet, different magic: Mustang Panda hits India's banking sector and Korea geopolitics (Acronis) Mirai Botnet Targets Flaw in Discontinued D-Link Routers (SecurityWeek) This AI Tool Rips Off Open Source Software Without Violating Copyright (404 Media) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

This is episode 323, recorded on April 16th, 2026, where John and Jason dig into part one of the Microsoft Fabric March 2026 Feature Summary — including the GA of OneLake Catalog Govern for admins, the OneLake Catalog Search API as an MCP tool, workspace tags going GA, DLP policies extending to structured data in OneLake, branched workspace with Git integration and selective branching, the new connection reference variable type, Fabric CLI v1.5 with one-command deployments, the Fabric Remote MCP server, OneLake File Explorer reaching GA, and the preview of Fabric Runtime 2.0 with Spark 4 and Delta Lake 4. For show notes please visit www.bifocal.show

The Monday Microsegment for the week of April 20. All the cybersecurity news you need to stay ahead, from Illumio's The Segment podcast. Microsoft's biggest patch day this year includes a live SharePoint exploit. Two million Amtrak records leak. Did the railroad choo-choo-choose not to pay a ransom? And researchers find malware aimed at Israel's water supply. New AI models like Anthropic's Mythos are changing cybersecurity fast. Erik Boch joins us to explain why defenders and attackers are both paying attention.  Head to The Zero Trust Hub: hub.illumio.com Get the Industry's First Vendor-Neutral Zero Trust Certification: https://www.illumio.com/zero-trust-certification 

While we have some interesting updates for SharePoint and using Copilot in Excel, we are most excited about how AI can help us keep up with messages in the M365 Message Center. Imagine being able to start a chat and ask about messages that impact you and how it might impact your organisation. 0:00 Introduction 3:01 Create and edit SharePoint pages with Copilot-powered AI - MC1282683 8:43 Create charts on pages with AI in SharePoint - MC1282567 13:11 Message center post structure updates may require admin script changes - MC1282308 17:51 Modernized Change Management for Microsoft 365 - MC1282306 29:24 Copilot entry point changes in Excel - MC1282571

(Presented by TLPBLACK: A cybersecurity intelligence platform focused on sharing curated, high-sensitivity threat insights and research with trusted security professionals.) Three Buddy Problem - Episode 94: We discuss a mysterious, VM-obfuscated backdoor that lived undetected on a single U.K. machine for a year before disappearing, finding clues pointing to an elite-level APT intrusion that still evades broader industry coverage. Plus, connecting the dots across AI-driven vulnerability discovery, Microsoft's massive Patch Tuesday, Jensen Huang talks cybersecurity, Mythos dangers and Chinese chips, and the quiet erosion of CVE enrichment at NIST. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu. Timestamps: 0:00 – Intros + AI news whiplash 5:10 – Patch Tuesday breakdown: Microsoft's second-largest CVE release ever 7:32 – AI accelerating vulnerability discovery at record pace 10:00 – Frontier lab cyber models, fine-tuning, guardrail removal & KYC 12:37 – FreeBSD NFS bug: Opus 4.6 was already finding critical vulns 14:26 – Anthropic's infrastructure strain: Is Opus being nerfed? 21:05 – OpenAI's Trusted Access for Cyber vs. Anthropic's Mythos cabal 28:45 – SharePoint zero-day CVE-2026-32201: The endless Microsoft tax 34:36 – Adobe Acrobat zero-day: A rare, real, Russia-linked exploit in the wild 41:36 – VirusTotal mining: The golden age of threat intel hunting 50:03 – ZionSiphon: Vibe-coded OT malware targeting Israeli water infrastructure 55:04 – Paleontology of threat research: When do you publish? Who do you trust? 1:13:53 – Angry Spark: A one-machine, one-year backdoor raises eyebrows 1:49:25 – Jensen Huang vs. Dwarkesh Patel on Mythos, China and chips 2:14:32 – Chinese AI distillation: 24,000 fake Anthropic accounts, DeepSeek & the catch-up question

Marijn came back from MVP Summit in Seattle, but can't say anything, because NDA! The topic changes in what AI can do for you, and why people are the secret ingredient for AI success! They end with an American whisky "Straight Triticale Distillarium".

Patch Tuesday. CISA directs furloughed employees back to work.  Experts warn Anthropic's Glasswing signals a new era of AI-driven vulnerability discovery. Federal prosecutors crack down on chip smuggling. Sweden says a pro-Russian cyber group attempted to disrupt power plant operations. A fake app in Apple's App Store drains crypto wallets. Virginia bans the sale of precise geolocation data. Our guest is Johnny Hand, VP for AI Excellence at TrendAI, discussing AI operational discipline. Do you need to buy a separate seat for your AI agent? Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today on our Industry Voices segment, we are joined by ⁠Johnny Hand⁠, VP for AI Excellence at ⁠TrendAI⁠, discussing AI operational discipline and real-world cyber impact. If you enjoyed this conversation, check out the full interview here. Selected Reading Microsoft Patch Tuesday for April 2026 fixed actively exploited SharePoint zero-day (Security Affairs) ICS Patch Tuesday: 8 Industrial Giants Publish New Security Advisories (SecurityWeek) Adobe Patches 55 Vulnerabilities Across 11 Products (SecurityWeek) CISA Workers Recalled Despite Shutdown (GovInfoSecurity) CISA cancels summer internships for cyber scholarship students amid DHS funding lapse (CyberScoop) Anthropic's Mythos signals a structural cybersecurity shift (CSO Online) We're only seeing the tip of the chip-smuggling iceberg (CyberScoop) Swedish power plant targeted by pro-Russian group in 2025, government says (Reuters) Exclusive: Russia-linked hackers compromised scores of Ukrainian prosecutors' email accounts, data shows (Reuters) Users lose $9.5 million to fake Ledger wallet app on the Apple App Store (web3isgoinggreat) Virginia enacts ban on precise geolocation data sales as momentum for similar prohibitions builds (The Record) Microsoft exec suggests AI agents will need to buy software licenses, just like employees (Business Insider) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM Pieter Kops shares practical lessons from the front lines of Copilot adoption. He explains why organisations must fix security and data quality before switching AI on, how oversharing and duplication damage AI outcomes, and where Copilot delivers real value beyond basic automation. The conversation focuses on SharePoint, metadata, governance, and helping people move from search and automation towards research and higher value AI use.

How does your company communicate with its employees today? Richard chats with Emily Mancini about her work with companies that manage internal communications. Emily talks about the power of email, collaborative messaging like Teams, and the Microsoft Viva products Engage and Amplify. The conversation digs into knowing where your people look for info, how they communicate, and what they want to connect with. Being able to measure the response to different communication means helps you to work on better messages and methods - the goal is to enable employees to connect with and utilize the resources of the organization, creating a stronger company culture! Links Microsoft Viva Engage Microsoft Viva Amplify Create and Send a News Digest Recorded March 9, 2026

This is episode 322, recorded on April 8th, 2026, where John and Jason dig into the keynote announcements from FabCon Atlanta — including SharePoint list mirroring into OneLake, Excel-to-Delta table shortcuts, major CI/CD improvements like selective branching and the Fabric CLI, the new Database Hub giving you a single pane of glass across your entire database estate, and a brand new Planning workload built right into Fabric. For show notes please visit www.bifocal.show

Welcome to Episode 425 of the Microsoft Cloud IT Pro Podcast. In this audio and video episode recorded live at Microsoft headquarters during the MVP Summit, Ben welcomes a return guest, Joy Apple, to the Microsoft Cloud IT Pro Podcast and discuss her 20-year career in the Microsoft collaboration space, from financial services to SharePoint training, consulting, and her current role at Orchestry Software. Joy explains Orchestry as a Microsoft 365 governance automation layer covering templated provisioning for SharePoint and Teams, archiving policies (including Microsoft 365 Archive), guest management, and OneDrive governance. They emphasize that AI and Copilot amplify existing information architecture, permissions, and data hygiene issues, making governance more critical. They describe the MVP Summit as a “family reunion” where MVPs attend sessions and reconnect with peers. Joy and Ben also spend some time describing paths becoming an MVP and how much they just enjoy the community around the Microsoft 365 ecosystem and connecting with people both at MVP Summit as well as various conferences throughout the year. About Joy Apple Joy is a Microsoft MVP and Director of Success and Enablement at Orchestry. With years of experience as an information technologist, I'm dedicated to helping organizations implement technology with a purpose-driven, “human-first” approach, ensuring tools like Microsoft 365 empower people to do their best work. Teaching and knowledge-sharing are at the heart of what I do. Whether it's through volunteering in the Microsoft Community, speaking at events, or writing as the “Joy of SharePoint,” I'm passionate about helping others unlock their potential with modern workplace solutions. Im also a cohost of the Guardians of M365 Governance podcast, where I explore the challenges and rewards of governance, and a columnist for She is Tulsa, a quarterly magazine celebrating impactful stories from my local community. Outside of work, you'll often find me enjoying live music or discovering new spots in Tulsa, Oklahoma, combining my love of connection and creativity wherever I go. Show Notes See the recording from the Microsoft Studios! Joy Apple on LinkedIn The Microsoft 365 Maturity Model – Governance, Risk, and Compliance Competency The Microsoft MVP Communities About the MVP Program Overview of Microsoft 365 Archive Guests in the Microsoft 365 admin center Mitigate Oversharing to Govern Microsoft 365 Copilot and Agents Orchestry About the sponsors   TrustedTech is a leading Microsoft Cloud Solution Provider (CSP) specializing in Microsoft Cloud services, Microsoft perpetual licensing, and Microsoft Support Services for medium and enterprise-sized businesses. Our robust team of in-house, U.S-based Microsoft architects and engineers are certified in all 6/6 Microsoft Solutions Partner Designations in the Microsoft Cloud Partner Program. M365 Licensing Consultation M365 Tenant Assessment Copilot Readiness Assessment Your migration and governance solution for Microsoft 365 ShareGate helps your teams simplify tenant migrations, get Copilot-ready, and take control of Microsoft 365 governance. Our Microsoft 365 experts and Microsoft Azure experts focus on the Microsoft cloud, so you can focus on what you do best! Learn more how we can help you!

How are you storing and managing your internal documents? Do you have a process or a system? Our guest today is Therman Trotman, who shares with us how SharePoint might be the best kept secret for your business. TODAY'S WIN-WIN:People over technology.LINKS FROM THE EPISODE:Schedule your free franchise consultation with Big Sky Franchise Team: https://bigskyfranchiseteam.com/. You can visit our guest's website at:     www.talksharepoint.comAttend our Franchise Sales Training Workshop:  https://bigskyfranchiseteam.com/franchisesalestraining/Connect with our guests on social:https://www.linkedin.com/in/therman-trotman-15790b33/ABOUT OUR GUEST:Therman Trotman is the Founder of The SharePoint Helpdesk, where he teaches people how to use SharePoint and other Microsoft 365 Suite technologies to improve their organization and job performance. With more than 20 years of IT expertise in both the public and private sector, he excels at demystifying technology and calming spreadsheet chaos while avoiding the typical "IT guy" vibe. Therman is a veteran, entrepreneur, and family man who also hosts the SharePoint Helpdesk Podcast.This episode is powered by Big Sky Franchise Team. Big Sky Franchise Team is consistently recognized as one of the best franchise consulting firms in the United States, helping business owners franchise their businesses through a proven 3-Step franchise process rooted in ethical principles, hands-on guidance, and customized deliverables.  If you are ready to talk about franchising your business you can schedule your free, no-obligation, franchise consultation online at: https://bigskyfranchiseteam.com/. The information provided in this podcast is for informational and educational purposes only and should not be considered financial, legal, or professional advice. Always consult with a qualified professional before making any business decisions. The views and opinions expressed by guests are their own and do not necessarily reflect those of the host, Big Sky Franchise Team, or our affiliates. Additionally, this podcast may feature sponsors or advertisers, but any mention of products or services does not constitute an endorsement. Please do your own research before making any purchasing or business decisions.

Half of consumer question the authenticity of what they see online.