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📲 WhatsApp cambió y ahora cada mensaje importa más. Si tu empresa atiende clientes por WhatsApp, necesitas reducir mensajes innecesarios, automatizar mejor y mantener una atención eficiente sin disparar costes. En este webinar gratuito te mostraremos cómo usar agentes de IA y automatización para atender bien, gastar mejor y seguir vendiendo. 🗓️ Martes 27 de octubre 🎟️ Regístrate gratis

Before ClickLearn: a flooded inbox of "stuck again" and "urgent, need help" tickets. After: quiet, because employees get answers right inside the system. CKS Packaging cut ERP support hours by 75% across 11 plants Learn how to cut support by 75%: https://lnkd.in/eKNHsRb5/?utm_campaign=3%257CMOFU%257CWebsiteviews%257CImage%257C2026&utm_source=linkedin&utm_medium=paid&utm_id=706401554&hsa_acc=502592646&hsa_cam=706401554&hsa_grp=401914854&hsa_ad=1573810094&hsa_net=linkedin&hsa_ver=3

Spending too much time helping frustrated users to minimize software friction? Transitioning to new systems or software is challenging. Use ClickLearn to onboard and train your users with in-app, role-specific software guidance in the flow of work. With just a few clicks, auto-produce training content and auto-update documentation in 7 different formats and 45 languages.

Go beyond simply identifying vulnerabilities. Cloudsmith gives security teams the data and controls they need to assess risk, enforce policies, and make safer package decisions. Talk to an expert about Cloudsmith →

Découvrez pourquoi Postman a été désigné comme Visionnaire dans le rapport 2026 Gartner® Magic Quadrant™ sur la gestion des API. Téléchargez le rapport.

Engineering leaders: Download the 2026 Gartner® Magic Quadrant™ for API Management report so you can learn: ➡️ Why Postman was recognized as a Visionary ➡️ The recognized vendors in API management technologies ➡️ Insights into the current state of API Management in the agentic era

"We'll build it once, then get back to the product." It's never just once. Once to handle more connections. Once to chase down delivery delays under load. Once to stop a brief disconnect from becoming a reconnect storm. Each fix makes sense on its own. Together, they turn into a permanent job for a team that thought it was done. Scoping it as a one-off project keeps the upfront cost low. The rest gets paid later, one fix at a time. "Built" is a milestone, not the finish line.

Here are 15 engineering leaders I think are worth following across AI, infrastructure and engineering at scale: → Katelyn Lesse leads platform engineering at Anthropic. Her work on Claude’s developer platform gets into a question more teams will face: how do you run agents within real security boundaries? → Boris Cherny leads Claude Code. I like his way of talking about coding agents as a way to shorten the distance between having an idea and seeing it work. → Ashwin Sreenivas is building AI agents for customer service at Decagon. He’s shared what it takes for those agents to look up information, take action and handle real customer requests. → Johann Schleier-Smith brings deep database and systems experience to Temporal’s work on reliable AI workflows. → Nic Cavigliano is a Technical Fellow at Indeed. I recently asked him what happens when an agent experience faces 10× growth. His answer on clear boundaries, backpressure and graceful degradation was worth sharing. → Michele Catasta writes about the engineering behind Replit Agent, including harness design and how to evaluate and improve agents at scale. → Adrian McDermott is CTO at Zendesk. He’s written about how AI is changing customer expectations and the technology needed to meet them. → Ryan S. leads infrastructure and core technology at Fin. His Rails World talk opened up the work behind keeping tests, deployments and shipping fast as agents produce more code. → Dharmesh Shah is building Agent.ai alongside his work at HubSpot. He shares his experiments with making agents useful and accessible to more builders. → Samar Abbas has worked on durable execution systems at AWS, Microsoft, Uber and Temporal. His recent writing tackles what AI agents need to keep working when a step fails. → Théo Carrive leads engineering at Mistral AI. He’s also shared practical accounts of how engineering teams work and what they learn from production incidents. → Gergely Nemeth leads Client Foundations at DoorDash. His writing on AI tools asks a good question: how do engineers use more automation without losing their understanding of the systems they build? → Fabian Hedin is co-founder and CTO at Lovable. He’s explained decisions behind the apps it generates, including the move to server rendering with TanStack Start. → Farhan Thawar leads engineering at Shopify. His perspective on AI in engineering goes beyond tool adoption to what engineers still need to understand for themselves. → Yoav Abrahami has written detailed guides to Wix’s architecture, from designing around different service levels to making microservices more reliable. Whose work would you add to this list?

Cada área da sua empresa atende de um jeito. E o gestor do CSC responde pelo SLA de todas. Quando RH usa WhatsApp, Financeiro usa e-mail e Compras usa planilha, não existe retrabalho pequeno: existe uma operação sem padrão, sem rastreabilidade e sem número para mostrar. E a empresa que paga a conta. O Agidesk coloca todas as áreas em um catálogo único, cada uma com seu fluxo, seu prazo e seu indicador. O gestor enxerga o CSC inteiro em um painel. Agende um diagnóstico do seu CSC. Mostramos onde o atendimento descentralizado está custando prazo e controle.

Sua TI resolve chamados. Mas se o diretor perguntar o SLA do mês, a resposta vem de um painel ou de uma planilha montada na hora? Na maioria das operações que conhecemos, o chamado entra por três canais, a prioridade depende de quem triou e o prazo vencido só aparece no fechamento do mês. A Agidesk estrutura isso como processo: Catálogo único, roteamento automático, SLA com alerta e aprovações auditáveis. E o painel do gestor já vem pronto. Peça um diagnóstico da sua operação de TI. Em 30 minutos mostramos onde o controle está escapando e como a gente resolve isso para você.

Passen Sie Roadmaps und Ressourcen sofort an.

Planview nous aide à transformer notre stratégie en résultats concrets pour nos projets. » Andreas Mayr, COO, Endress+Hauser Avec plus de 650 initiatives réunies dans un seul système connecté et 3 M€ d'économies, Endress+Hauser montre ce qui est possible. Obtenez le Scenario Planning Gap Report pour savoir où se situe votre organisation.

De CEO van Microsoft wil een noodrem op AI. Geavanceerde AI-systemen moeten gebouwd worden met containment, onafhankelijke controles en een noodstop die mensen kunnen activeren. Dat is nogal een statement van de man wiens bedrijf miljarden pompt in AI-ontwikkeling. “The most trustworthy Super Intelligence system will not be the one with the model we trust most, it will be the one that enables us to trust the model the least.” Je bouwt veiligheid door ervan uit te gaan dat het misgaat. En dan te zorgen dat je kunt ingrijpen. Voor jouw organisatie maakt die discussie op wereldschaal misschien niet zoveel uit. Wat wel uitmaakt is de vraag die de CEO eigenlijk stelt: Wie kan de stekker eruit trekken als het misgaat? Weten je mensen genoeg om te herkennen wanneer dat nodig is? AI-geletterdheid is geen luxe meer. Het is de basis om te begrijpen wanneer je blind kunt vertrouwen op AI en wanneer je de noodrem moet gebruiken. Bij WorkplaceBuddy leren we je collega’s dat. Continu. In Teams. Op het moment dat het ertoe doet. Want die noodrem werkt alleen als iemand weet waar hij zit. #AIveiligheid #Microsoft #AIgeletterdheid #Copilot #DigitaleAdoptie

Weet jij precies waar het geld van jouw woningcorporatie naartoe gaat? Nieuwbouw, renovatie en verduurzaming vragen om flinke investeringen. Dan wil je niet achteraf ontdekken waar je budget is gebleven. Met AFAS krijg je inzicht in kosten, verplichtingen en de voortgang van projecten. Alle informatie komt samen in één ERP-systeem. Zo houd je grip op je financiële processen en maak je betere keuzes voor morgen. Ontdek hoe AFAS jouw woningcorporatie helpt. https://lnkd.in/ejhhyDqi

Wat als jouw woningcorporatie minder tijd kwijt is aan terugkerende taken? Een aanvraag beoordelen. Informatie samenvatten. Een goedkeuring doorsturen. Het zijn werkzaamheden die iedere dag terugkomen. Met de workflows en Jonas AI van AFAS automatiseer je processen en laat je AI helpen bij het analyseren van informatie. Zo houden medewerkers meer tijd over voor werk dat écht aandacht vraagt. Ontdek de mogelijkheden van AFAS voor woningcorporaties. https://lnkd.in/ejhhyDqi

When Hurricane Isaias got close to my house in Florida, I went looking for a radar and wind app and kept running into the same thing. Almost every good one required a subscription or was packed with ads. So I built my own, with Claude, and I’m making it free for everyone. It runs on public data only. You can zoom all the way down to street level in a 3D weather view, and the level of detail is better than I expected. My goal was simple: track the wind at my house, along with all the other public data set layers, overlaid in one place. What stood out to me is how far a single person can get on a real project with the right tools and a clear problem to solve. If you’re in the path of a storm this season, or just like weather data, give it a try. It’s free, with no ads and no subscription. https://lnkd.in/gAxyxvRJ Would love to hear what layers or features you’d want added. #Claude #ClaudeCode #AI #Hurricane #Weather #BuildInPublic

Slide decks don't survive an earnings call. When you face the board and investors, there is nothing "artificial" about the P&L. The standard is binary: you either deliver the financial commitments, or you don't. That is the exact threshold agentic AI must now cross. The era of pilot theater and vanity metrics is over. If an agentic workflow doesn't directly improve margins, accelerate revenue, or compress cycle times, it isn’t enterprise-grade. At NiCE, this is how we govern our own AI transformation: * Every agentic use case ties directly to a measurable financial outcome. * Unit economics matter: we track token consumption against enterprise ROI. * Connection beats isolation -- standalone models and agents create noise; connected ecosystems drive real value. How is your leadership team measuring actual P&L impact from agentic AI? https://lnkd.in/gsjaJpsi

Ongebruikte licenties = weggegooid geld. 💸 We praten nog vaak over “adoptie” alsof het een soort vitamine is. Lekker voor erbij. Als je tijd hebt. Na de zomer. Na de kerst. Alleen, in enterprise-land is adoptie geen vitamine. Het is gewoon een risico. - Je betaalt voor tooling die niemand gebruikt. - Je security awareness blijft hangen op “klik niet op rare linkjes”, terwijl mensen ondertussen gevoelige info in de meest creatieve hoekjes plakken. - Je governance is rommelig, en dan wordt een datalek ineens geen IT-probleem meer, maar een probleem met juristen, boetes en hele ongemakkelijke meetings. Het is geen extraatje van HR of een leuke training. Adoptie hoort gewoon bij risicomanagement. Einde LinkedIn-post. #Microsoft365 #SecurityAwareness #Governance #Compliance #DigitalWorkplace

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Es gibt einen Moment, an dem Desk Sharing kippt. ❌ Jemand vergisst zu buchen und setzt sich einfach hin. Es passiert nichts. Er bucht nicht mehr. Die Kollegen am Nebentisch sehen das auch. Ein paar Wochen später verschickt HR Erinnerungen für ein System, das keiner mehr benutzt. Das ist kein Disziplinproblem. Eine Buchung kostet Aufwand. Sich hinsetzen kostet keinen. Solange das so ist, entscheidet nicht die Regel, sondern der kürzere Weg. Man kann dagegen anmahnen, aber man gewinnt das Rennen nicht – man verschiebt es um ein paar Wochen. Wir lösen das bei anny über einen KI-Chat, indem wir das Buchen schnell und einfach machen. Man schreibt rein, was man braucht: “Nächste Woche Dienstag bis Donnerstag einen Schreibtisch und Parkplatz, Mittwoch dazu einen Raum für vier Leute.” Fertig. Die ganze Woche mit einem Satz geplant, Räume und Parkplätze gleich mit. Klingt nach einer Kleinigkeit. Aus meiner Sicht ist es der ganze Unterschied. Am 12. November um 11.30 Uhr zeigen Lidia Gusev und ich, wie das in der Praxis aussieht – und welche Regeln man vorher klären sollte. Link zur Anmeldung ist in den Kommentaren. 👇

It takes 45 minutes to watch an episode of your favorite TV show. It also takes 45 minutes to get a clear picture of how AI can work in your business. One of our AI consultants looks at your goals, data and systems with you. Together you pick the two or three ideas worth building first. Then we build a quick first version of the best one while you watch. It's free, and IT gets a say before anything is built. The ending is a plan you can actually use.

Anyone can make an AI demo look great. The real test is whether it still works six months later. Our goal is your first AI app live within 90 days, connected to your systems and approved by security. Six months in, three to five everyday workflows run on AI. After a year, your own team runs it without our help. It starts with a free AI readiness workshop. 45 minutes, no strings attached.

Record CUCM and UCCX/UCCE calls. Capture agent screens and log their desktop activity. Evaluate 100% interactions with speech analytics engine. Get the demo: https://lnkd.in/emH9NPxJ