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66% versus 13%. Those two numbers describe where most companies are with AI right now. Microsoft’s 2026 Work Trend Index surveyed 20,000 AI users. 66% say AI gives them more time for high-value work, and 58% are producing work they couldn’t have produced a year ago.The organisation is lagging behind. Only 26% say their leadership is clearly and consistently aligned on AI, and just 13% feel rewarded for redesigning their work with AI when the results are uneven at first. Everyone has a Copilot or a ChatGPT and the person becomes the integration: copy the data out of the system, paste it into the chat, paste the answer back. That’s an individual gain, and it never shows up in the company’s numbers. So how do you decide where AI can make the biggest ROI if your team spends the day copy-pasting? Pick one process and count how many times a colleague copies data between AI and your systems in a week, then multiply by the minutes each round trip takes. Now you know how many hours a week that process loses to copy-paste. The process with the most hours is where your first agent should go. Someone is already doing that work by hand, and now you have a number to measure the agent against.

Most teams sit somewhere between a shared mailbox and an inbox that agents run on their own, and almost nobody can name the ground in between. We use four stages. A chatbot answers from a script. Retrieval finds the right answer in your knowledge base. A task agent resolves the ticket and updates the record. Fully autonomous runs the queue. A ticketing system with a chatbot bolted on the front is stage one, whatever it cost. Very few companies reach stage four inside the next 2 years, which is fine, because the return is in moving one stage from wherever you actually are. Most companies can name their stage. Far fewer can name what is holding them there, and the pattern we see is that it comes down to three things: the knowledge base is stale, nobody owns the escalation path, or the process was never written down in the first place. Which of those three is yours? If you want to see what the middle stages look like inside a Microsoft environment, our free library maps 10 AI agents to specific departments and roles: https://lnkd.in/ev-7VSWg

When AI budgets get cut, the frontier API bill will be the first to go. Arthur Mensch put the other side of it well: "Don't pace building and owning your own AI models and systems as an enterprise, and there will be no doomsday for you." If the market turns and AI spending falls, finance looks first at the cost that keeps accelerating with usage. That's the frontier. Every extra call costs more, and none of it stays in the business. A model you've trained on your own data works differently. It runs on your infrastructure, it's built for your use case, and it gets better every time you retrain it. That's an asset you own, and it's much harder to cut. So I'd expect a downturn to drive an even larger migration to open source. And if you're already building your own intelligence on open-weight models, brilliant. Keep at it. This is exactly what we help enterprises do at AgileRL.

94% completion. Zero behavior change. That's not a training win. That's a blind spot. A client showed me their L&D dashboard last month. 94% completion rate, 4.6 out of 5 satisfaction. By every metric on that slide, the training had worked. Three months later, the actual behavior on the floor hadn't moved at all. To be honest, this isn't rare, it's the norm. Decades of research keep landing on the same number: only 10-20% of what's taught in formal training actually transfers into on-the-job behavior. Manager-required compliance training routinely hits 90%+ completion and still produces no real change, because completion measures whether someone clicked through a module, not whether they do anything differently under pressure. Leadership knows this, sort of, and still optimizes for the wrong signal. A 2026 Gartner survey of security leaders found 84% of organizations prioritize training completion as their top metric, while only 6% track the thing that actually predicts risk: how often people bypass the training the moment it's inconvenient. We keep grading the easy test and then act surprised when the real-world score doesn't match. The thing is, completion rate was never a business outcome. It's a proxy that's easy to drop into a slide. Behavior change, time-to-competency, fewer repeat errors, fewer workarounds under deadline pressure - that's the real test, and it's harder to measure, so most companies quietly stop looking. If your training dashboard leads with completion, you're not measuring whether the training worked. You're measuring whether the LMS can export a report. What do you think - does your org measure behavior or just attendance? #LearningAndDevelopment #FrontlineWorkforce #TrainingROI

La réforme des pensions sécurise le budget. Mais sécurise-t-elle votre pension ? C’est, à mes yeux, l’une des questions essentielles derrière la réforme. Au-delà des équilibres budgétaires, une autre réalité se dessine : chacun devra progressivement prendre une part plus importante dans la préparation de son propre avenir financier. Pension légale, pension complémentaire, épargne, investissements, patrimoine… Les regarder séparément ne suffit plus. C’est leur mise en perspective qui permet de savoir si les revenus de demain correspondront réellement au niveau de vie souhaité. Mon analyse est à découvrir dans l’article. J’y décrypte les principaux changements de la réforme et leurs implications pour la préparation de sa pension.

"Het is een utopie om te denken dat je ervaren monteurs uit de markt gaat krijgen." Voor de meeste bedrijven wel... maar als je een leuke werkgever bent, verdien je toch de beste kandidaten? Daarom zijn we recent gestart met het werven van monteurs voor BGM Infra B.V., een mooi bedrijf uit Noord-Brabant dat een belangrijke rol speelt in de energietransitie. Zo zorgen we voor pakkende content: 1. We begonnen met een strategiesessie met als belangrijkste vraag: Waarom zou een ervaren monteur die goed zit, hier willen werken? En hoe werven de andere werkgevers in de regio? 2. Daarna hebben we 4 monteurs van buiten gesproken. Over hun werkdag, de ploeg, de unieke punten en de grappen onderling. 3. Met die gesprekken hebben we 5 creatieve concepten gemaakt (met een duidelijk draaiboek) en is er één dag gefilmd op locatie. De humor en de toon komen van de mannen zelf. 4. Meerdere video's en foto's gemonteerd en bewerkt, laten goedkeuren en live gezet op kanalen waar de doelgroep te vinden is: Instagram, Facebook, TikTok, etc. Iedereen die doorklikt na de video's komt op een interactieve quiz uit. Zo kijken we of er een match is tussen BGM Infra en de kandidaat. De kandidaten die door de selectie komen bellen we binnen 1 werkdag op en zetten we daarna intern door. Alles uit naam van BGM. Om zo de juiste (ervaren) kandidaten uit de markt aan te trekken. #Doedemee?

"Different countries have different realities." A point that stayed with me from my conversation with economist Professor Douglas Deng on The Smokeless Word: Live from the Lab. From developed economies to those where tobacco farming supports livelihoods, there's no one-size-fits-all approach to tobacco harm reduction. But every country needs an evidence-based framework. As a scientist, that resonates. Evidence should set the direction; local realities shape how it's applied. Catch a first look below ⬇️ #TheSmokelessWord #Omni

30 Grad, strahlender Sonnenschein und der Spielplatz bleibt leer. ☀️ Was auf den ersten Blick nach perfektem Spielplatzwetter klingt, kann schnell zum Problem werden, wenn Schatten fehlt, Flächen sich aufheizen oder Aufenthaltsbereiche kaum noch angenehm nutzbar sind. Der Klimawandel verändert deshalb auch die Anforderungen an Spielräume. Schatten, Vegetation, Regenwasser, Materialwahl und Mikroklima werden zu wichtigen Fragen für Gemeinden und Planer. In unserem neuen Blogartikel zeigen wir, warum klimagerechte Planung nicht weniger Spiel bedeutet, sondern sogar neue Möglichkeiten schaffen kann. 👉 Jetzt im Blog entdecken: https://lnkd.in/e-gWpAR4

Leaders grappling with AI have long been asking themselves: is any of this paying off? BCG's new Applied AI Index 2026, based on a survey of 1,330 CxOs and senior leaders across 20 sectors, found that nearly half the market is now generating real value from AI. As that value climbs, companies are racing to give agents real decision-making authority. By 2030, 42% of companies expect to grant agents genuine autonomy, yet only 5% have all the controls in place to do that safely today. That gap is the defining challenge of the next two years. It won't be solved by regulators or technology vendors. The responsibility sits with the companies deploying these systems, and the ones building oversight now will be the ones still trusted to operate at scale later. What does it take to build those guardrails? Read the full Applied AI Index 2026 at the link in the comments. ⬇️

I often ask customers what quality means to them. This week at High Point Market, I turned the question on myself. After seven years of walking these showrooms, here's my answer: 🛡️ Quality is protecting brand equity. Every product carrying your name is a promise. One bad shipment can undo years of trust with retailers and consumers. 📉 Quality is keeping claims down. Returns, chargebacks and complaints aren't just costs. They're signals that something upstream needs attention, and the earlier you catch it, the cheaper it is. 🌱 Quality is a growth mindset. It's never "done." The best teams I meet treat every inspection, every defect and every supplier conversation as a chance to improve the process. 🤝 Quality is making products the whole organization is proud of. From design and sourcing to the factory floor and the showroom, everyone should be able to stand behind what ships. And nowhere do you see that in full force like a High Point showroom. The salespeople are selling what designers designed, manufacturers made, and quality teams oversaw. Every piece on that floor is the result of many hands, and the showrooms are where everybody's best work comes together. High Point is also where I've built friendships, networks and partnerships, and where the conversations about trends, compliance and quality keep pushing the industry forward. So, now my regular question back to you: what does quality mean for you?

What’s the next stop? ✈️ After a great Chillventa, the journey continues: next stop Elemental London! Looking forward to representing Eltwin Group, meeting familiar faces and making some new connections along the way. Will you be there? Let's meet! #ElementalLondon #HVAC #Eltwin #PowerElectronics

„Wir haben den Business-Tarif, da sind meine Daten sicher.“ Sicher wovor? Das frage ich nicht rhetorisch. Der Satz fällt in fast jedem Gespräch, und fast nie ist klar, was mit „sicher“ gemeint ist. Meistens steckt dahinter: Der Anbieter trainiert nicht mit unseren Eingaben. Das stimmt in vielen Geschäftskundentarifen sogar. Nur ist Training einer von mehreren Wegen, auf denen Daten ein Unternehmen verlassen. Die Zusage sagt nichts darüber, wo verarbeitet wird, wer sonst noch beteiligt ist und wer im Zweifel Zugriff verlangen kann. Ich höre den Satz trotzdem gern. Er zeigt, dass sich jemand mit dem Thema beschäftigt hat – die meisten haben das nicht. Er ist nur ein Anfang und kein Abschluss. Wer ihn als Abschluss behandelt, hört genau an der Stelle auf zu fragen, an der es interessant wird. Und die interessante Frage ist ohnehin nicht, was der Anbieter heute verspricht. Sondern was passiert, wenn er es morgen ändert und wie schnell ihr das merkt.

I've lost count of the 11 p.m. close week calls from clients that started the same way: a consolidation load failed, and no one could say why. It's almost never the team. It's almost never the tool. It's usually one cost center that got created in the source system last Tuesday and never made it into the hierarchy the consolidation depends on. Someone hand-edits a flat file, reruns the load, and goes home. The number is wrong until it quietly isn't. After years around financial systems, I've come to believe this isn't an effort problem. It's a master data problem. The accounts, entities, and hierarchies underneath your close are the scaffolding for every number you report. When every system keeps its own copy and people maintain them by hand, they drift... and drift becomes failed loads, restated numbers, and audit findings. More people checking spreadsheets won't fix it. One governed source of truth that feeds every EPM and ERP system will. I wrote down how I think about it... link in the comments. If your close still runs on flat files and macros, I'm always up for comparing notes. #OfficeoftheCFO #FinancialClose #MasterDataManagement

Fullstack Developer (Java & Angular ) poszukiwany! :) 💻 W Comarch rozwijamy skalowalne platformy Enterprise, a z narzędzi AI korzystamy w praktyce – w modelu Spec Driven Development! Dołącz do nas jako Fullstack Developer (Java + Angular) i twórz systemy przetwarzające miliony operacji dla międzynarodowej branży ubezpieczeniowej. Czym się zajmiesz? ⚡ Projektowaniem i wdrażaniem czystej architektury (SOLID, Clean Code, DDD) ⚡ Rozwojem aplikacji webowych w oparciu o Java, Spring Boot i Angular ⚡ Automatyzacją żmudnych zadań z agentami AI, by skupić się na logice biznesowej Co zyskujesz? 🤖 Realną pracę z AI w codziennym kodowaniu 🏠 Model hybrydowy (3 dni biuro / 2 dni home office po okresie wdrożenia) 📈 Ścieżki rozwoju (ekspercką lub menedżerską) i budżet na konferencje 🏥 Medycynę prywatną Allianz i pakiet kafeteryjny (Multisport, kultura, sport) Szukamy osób ze znajomością Java, Spring Boot, Angulara i SQL/NoSQL oraz języka angielskiego (min. B2). Mile widziane doświadczenie w DDD i Docker/K8s.. Chcesz kodować nowoczesne IT bez rutyny? 🚀 Aplikuj przez link poniżej lub napisz do mnie w wiadomości prywatnej! 📩 https://lnkd.in/ddQkSapB #Java #Angular #Fullstack #PracaIT #Comarch #SoftwareEngineering #AI #CleanCode

Drei Fragen, die du deinem IT-Leiter heute stellen solltest. 1. Wie viele KI-Tools sind bei uns im Einsatz? 2. Wer hat damit Zugriff auf Kunden- und Personaldaten? 3. Was genau wurde in den letzten 30 Tagen hochgeladen? Ich stelle diese Fragen seit Monaten in Gesprächen. Die dritte kann bisher niemand beantworten. Das ist kein Vorwurf an die IT. Die Werkzeuge, um das überhaupt zu sehen, hat in den meisten Unternehmen schlicht niemand aufgesetzt. Aber solange die Antwort fehlt, ist jede Aussage über den Stand eurer KI-Nutzung eine Vermutung. #KünstlicheIntelligenz #ITLeitung #Datenschutz #KIImUnternehmen

Every "best master data management software" list I have read this year has the same problem. It was written for enterprise data teams reconciling customer records. Finance was an afterthought. Finance has a different job. The chart of accounts, legal entities, cost centers, and hierarchies have to stay correct across the ERP, the EPM applications, and the warehouse, on a close calendar that does not move. So we wrote the comparison we could not find: nine platforms, judged on the six things finance actually needs. 1. Governance workflow. Can a change be requested, approved, and deployed through an audited path? 2. Data quality. Is bad metadata blocked at entry, or found during close? 3. Enterprise integration. Does it reach Databricks, SAP, Oracle EPM, OneStream, and your ERP without a build? 4. Business-user ownership. Can finance run it without a ticket? 5. Audit and versioning. Who, what, when, why. 6. Cost and licensing. Does the pricing model punish growth? We covered Informatica, Profisee, Semarchy, SAP MDG, Oracle EDM, Ataccama, Reltio, Stibo, and EPMware. Yes, EPMware is ours, and we say where each of the others is the better choice. The pattern that emerged: most of these are excellent platforms built for IT. Only a couple are built for the close. Full guide in the comments. #MasterDataManagement #FinanceTransformation #OfficeoftheCFO #DataGovernance

Chcesz wejść w świat finansów premium, ale pracujesz w innych projektach IT? 🚀 W Comarch Wealth Management znosimy tę barierę – szukamy analitycznego zacięcia, a wiedzy dziedzinowej Cię nauczymy! Dołącz do nas jako Business Analyst (min. 3 lata doświadczenia w IT) i twórz systemy doradztwa inwestycyjnego dla banków na całym świecie. 🌐 Czym się zajmiesz? 🔹 Zbieraniem wymagań biznesowych i przekładaniem ich na język techniczny 🔹 Mapowaniem procesów i projektowaniem interfejsów 🔹 Prowadzeniem warsztatów z międzynarodowymi klientami Co zyskujesz? 🧠 Pełne wdrożenie w branżę finansową 🤖 Pracę z narzędziami AI i Google Workspace 🏠 Model hybrydowy (3 dni biuro / 2 dni home office) 📈 Indywidualny plan szkoleń i jasną ścieżkę awansu 🏥 Medycynę prywatną Allianz i system kafeteryjny Znasz angielski (min. B2) i chcesz rozwijać się w prestiżowym sektorze? Aplikuj przez link poniżej lub napisz do mnie w wiadomości prywatnej! 📩 👉 https://lnkd.in/d_Xftv3n #BusinessAnalyst #PracaIT #Comarch #Rekrutacja #WealthManagement #AnalizaBiznesowa

For many leadership teams, AI value can seem frustratingly elusive. But that is starting to change! BCGs new Applied AI Index 2026, based on a survey of 1,330 CxOs and senior leaders across 20 sectors, found that nearly 50% of companies are now generating measurable value from AI. What separates them from the rest comes down to strategic clarity: knowing exactly where AI is supposed to create value before scaling it. That clarity matters more as the stakes rise. By 2030, 42% of companies expect to give AI agents real decision-making authority. Though only 5% have the controls in place to do that safely today. Read the full report to see what is driving that gap: https://lnkd.in/eny4K8MG BCG X

Every digital leader in automotive is currently split into two people: 1. The Innovator, who wants the raw speed & reduced costs of generative AI; and 2. The Brand Guardian, concerned about incorrect trims, corrupted badges, and bad geometry. Brands no longer have to choose between speed and brand integrity. That’s what CGAI (Computer Generated AI) is built for. Catch ZeroLight's upcoming webinar to see how enterprise brands are deploying hallucination-free, direct-to-consumer AI today. Save your seat via the link in the comments: (With many thanks to my twin brother, DJ, for helping out with the shoot...) #AutomotiveTech #AutomotiveMarketing #DigitalTransformation #AutomotiveDesign #EnterpriseAI

O HTML virou o novo PPT, ou o novo Power BI. Python virou a nova macro de Excel. IA transformou todo mundo em dev. E a pressão é intensa de liberar IA para todo mundo. Mas e como fica a governança desse processo? Como liberar sabendo que agora você tem milhares de códigos sendo gerados fora da esteira da TI? Governança novamente virou elemento central e foi sobre isso que falamos nesse papo muito bem conduzido pelo Fred Pericini e Filipe Xavier no AI First Cast. Se o momento da sua empresa é esse, o Sprav.ai pode ser exatamente a camada de governança que está faltando na sua estrutura. https://lnkd.in/dwedyKqS

$140 CPM. Without showing a traditional ad. Having spent much of my career in ad monetization, that number definitely got my attention. At Pandora, I helped build an advertising business that grew to over $1 billion in annual revenue. More recently, I led advertising at VSCO. Two very different businesses, but the same fundamental challenge: how do you generate meaningful revenue from free users without compromising the experience that brought them to your app in the first place? It's always been a balancing act. That's why I've been interested in what Encore is doing. Instead of showing users another ad, apps can reward them with offers from brands like Amazon, Apple, Disney, and ClassPass. Come back to the app? Here's a gift. Hit an engagement milestone? Here's another. Users get something valuable, brands acquire new customers, and the app gets paid when someone takes an offer. Two apps using Encore, Wink (Post: https://lnkd.in/p/g7UW42B9) and Wayk (Post: https://lnkd.in/p/gSMh2JWN), recently reported CPMs above $140. Wayk also reported a slight improvement in retention. Those are compelling early results, particularly for a monetization experience designed to reward users rather than interrupt them. I've been advising Michael Gants and the Encore team, and I think they're onto something here. If you're responsible for monetizing a free user base, this is worth a look. Happy to make an introduction.

In een google sheet de nieuwe inbound controleren om te kijken of de omruiling niet in de backorder schiet? Zorg dat jouw AI-friend alvast het ticket heeft gelezen, dit heeft opgezocht en dit aan de menselijke agent laat weten via een internal note. 14 keer klikken in een bepaald systeem om ergens uiteindelijk iets neer te dumpen in een excel? AI! Een vraag die gaat over een artikel dat al 7 jaar uit de collectie is, waarvan niemand meer wist dat het bestond en de technische manual ergens in de drive hangt van Patrick die al 4 jaar weg is? Ga eerst maar eens werken aan hoe je data, kennis en inzichten opslaat en verwerkt, want dit gaat AI anders ook niet vinden. Ik zou liegen als zou zeggen dat ik nooit 10 uur lang een proces heb proberen te automatiseren, van iets dat eigenlijk maar 2 keer per maand voorkomt en 3 minuten kost. Maar juist op dit soort momenten leer je dat AI niet die magische tool is die alles zomaar voor je oplost. Blijf daarom de juiste vragen stellen. Kijk niet alleen naar wat technisch mogelijk is, maar ook naar hoe vaak een proces voorkomt, hoeveel tijd je ermee bespaart, welke risico’s je loopt en wat het kost om de automatisering te onderhouden. En misschien nog wel belangrijker: is je fundament op orde? Je kennisbank, koppelingen, documentatie en workflows? De beste AI-implementatie begint niet bij de technologie, maar bij het begrijpen van je operatie. Een slechte operatie wordt niet automatisch een goede operatie omdat je er AI aan toevoegt.

Hvem har egentlig ansvaret for at opdrage vores børn? Det kan måske lyde som et retorisk spørgsmål, for svaret burde være klokkeklart. Det har forældrene, og det har de altid haft. Alligevel er jeg ikke længere sikker på, at vi alle er enige om det. PISA har givet anledning til en intens debat om skolen. Det forstår jeg godt, for den er noget af det vigtigste, vi har. Men skolen kan ikke skabe gode resultater alene mellem klokken otte og tre. Børn formes også af det, der sker derhjemme. Af de forventninger, de møder. Af de vaner, de lærer. Flere og flere elever pjækker fra undervisningen. I hver femte klasse har der været fysisk vold mod en lærer eller andet personale inden for det seneste år. Statsministeren brugte sin åbningstale på at sige, at skolens problemer kun kan løses, hvis forældrene bakker op om læreren. Jeg kunne ikke være mere enig. Vi ønsker alle det bedste for vores børn, men vi har fået en kultur, hvor mange forældre ser sig selv som barnets advokat over for skolen og ikke som skolens allierede. Hvor lærerens beslutning nærmest er et udspil til forhandling, og hvor man kræver særordninger for sit eget barn og samtidig forventer, at fællesskabet fungerer. Men en velfungerende skole kræver noget af os forældre. At vi bakker læreren op, også når vi indimellem ikke er helt enige. At vi accepterer, at fællesskabet nogle gange vejer tungere end vores eget barns ønsker. Det er ikke altid behageligt, men det kan altså ikke være anderledes. Jeg synes også, der er mere på spil. For folkeskolen er et af de få steder, hvor børn fra hele samfundet stadig mødes. Det er her, man lærer at respektere en fælles autoritet og nogle gange beslutninger, man ikke selv er enig i. Derfor tror jeg også på, at en stærk skole også er et stærkt værn mod polarisering. Sammen med Gordon Ørskov Madsen, formand for Danmarks Lærerforening, har jeg skrevet en kronik om, hvad der skal til. Forældrene har et ansvar, og det har kommunerne også. Vi foreslår flere uddannede lærere og to lærere i flere timer, særligt i dansk og matematik. Og så skal både lærere og elever rustes til at bruge AI klogt og kritisk. AI skal hjælpe med at udvikle og tilpasse undervisningen. Lad os dog give skolen de bedste forudsætninger for at lære vores børn noget fagligt, noget socialt, og en masse om at kunne klare sig videre i livet.

Reminder: Black Friday is over zes weken! Mocht je nu nog op zoek moeten, inplannen en inwerken? Zo last minute nog extra capaciteit regelen is eigenlijk al nét wat te laat. Tijdens piekdrukte draait het niet alleen om capaciteit of zoveel mogelijk naar AI doorsluizen; het gaat erom dat iemand de producten kent, de tooling snapt, weet hoe de processen werken en vooral: praat zoals jouw merk. Anders heb je wel extra mensen in de support, maar geen service. Daarom trainen we bij Customer Happiness Team onze brand representatives vóór livegang niet alleen op de producten, maar ook het merk, tooling, tove of voice en brand identity. Daarna draaien ze mee naast het bestaande team en kunnen we qua capaciteit op- en afschalen waar nodig! Dit is voor mij ook de belangrijkste BFCM les: schaalbaarheid begint op de dag dat je inbox volloopt, schaalbaarheid begint nu. Dus check niet alleen of je kortingscodes niet stapelen, check ook of de capaciteit die je gaat stapelen daadwerkelijk service kan bieden in plaats van support. Je krijgt maar een eerste indruk! Of is het plan nog: we zien wel hoe druk het wordt? #customerservice #CS #service #shopify #customersupport #BFCM #blackfriday