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Jira and ServiceNow have a lot to talk about. Tickets. Updates. Comments. Status changes. The good news? They don’t need another meeting.

Built. Tested. Deployed. Still not done? Right. Jira.

How in-control are your transitions? This two minute survey positions your transition pipeline against industry leaders. Get your transitions control score today.

Your engineering team is growing. Your feature management should keep up. Unleash gives scaling teams unlimited flags, projects and environments, and you only pay for the seats you use. Start a 14-day free trial, no credit card needed.

Feature management for $75/seat/month. Unlimited flags, projects and environments, plus SSO, RBAC and SOC 2 Type II. Start a 14-day free trial, no credit card needed.

We’re proud to be Industry Supplier of the Year 2025, and rated 4.9 on Trustpilot. See why businesses across the UK trust Doc2 with their documents. Start with 3 free documents, then plans from £10+VAT a month.

Somewhere in your company, someone just signed up for another AI tool. IT found out from the invoice. That's how unmanaged AI tools pile up, while governance falls behind. Spend 45 minutes with one of our AI consultants to get ahead of it. We look at your goals, data and systems with you. Then we pick the best idea and build a quick first version while you watch. Your business team gets a clear shortlist, and IT gets a say before anything is built.

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Plenty of teams already pay for an on-call tool and still keep a spreadsheet beside it, because that is the only place the swaps make sense.

"We need to be more proactive." It's the most repeated line in Customer Success. It's also the most undefined. What does proactive actually mean? Two things: Play defense — react to signals across your base: → Usage drops → check in with a key user → Renewal ahead → send a proposal that frames the value → Champion leaves → find a new one, fast Play offense — run your own processes: → Weekly cadence on tier 1 accounts → schedule the call → Share value → send the ROI email → Multi-thread → reach the decision maker Most CS teams have both figured out. On paper. The playbooks exist. They live in slides, Notion, Confluence. They look great at QBRs. But they never actually reach the customer. CSMs are too busy firefighting to remember the defense motions, too slammed to run the offense motions. The playbook stays theoretical while the renewal quietly slips. You don't need a better playbook. You need a system that brings the playbook to your CSMs at the moment they need it, on the customer who needs it, with the action already teed up. That's the difference between a team that talks about being proactive and one that actually is.

👀 Vos clients sont satisfaits… mais est-ce que ça se voit ? Avant de pousser la porte d'un magasin, vos futurs clients regardent sa fiche Google : la note, le nombre d'avis, et les réponses apportées. C'est le constat de COURIR. Après avoir travaillé la satisfaction client et la réponse en magasin, l'enseigne a élargi sa démarche à l'e-réputation, sur ses 300 magasins en France. 📅 Le mardi 10 novembre à 11h30, Anne-Sophie GUIGNARD, Responsable service clients, et Eva Masuit, Chargée de qualité et satisfaction clients, partagent leur retour d'expérience, aux côtés d'🔅Alexandra Ogus-Chrétien 🔅, Experte CX chez Goodays, lors du webinar : « De la satisfaction à l'acquisition : comment activer vos clients pour booster votre e-réputation locale ? » 🎯 Au programme : → Collecter davantage d'avis Google en activant ses clients → Répondre aux clients, en magasin comme en ligne → Suivre les bons indicateurs pour piloter tout un réseau → Les progrès observés, les difficultés rencontrées et les prochaines étapes → Bonus : la veille menée par Courir dans les réponses des IA 📅 Mardi 10 novembre à 11h30 – 45 min 👉 Inscription : https://lnkd.in/eHSVQXh8

AI kurumsal operasyonlarda karar almaya başladığında yalnızca hız değil; kontrol, görünürlük ve hesap verebilirlik de kritik hale gelir. FlowE AI destekli iş orkestrasyonu ve otomasyon çözümü; insanları, sistemleri, süreçleri ve yapay zekâ ajanlarını uçtan uca tek bir platformda birleştirir. Böylece süreçlerin ve otomasyonun kontrollü, izlenebilir, yönetilebilir şekilde ilerlemesini sağlar. FlowE’nin gelişmiş orkestrasyon yetenekleriyle AI destekli operasyonları nasıl güvenle ölçeklendirebileceğinizi ve operasyonel verimliliği nasıl artırabileceğinizi keşfedin.

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Completing work doesn't guarantee value. Track the business case, the run rate, and the realized benefit alongside the milestone. Conductor connects execution to realized value.

Between Monday and Thursday, the portfolio moves. The SteerCo pack usually doesn't. By the time leadership meets, initiatives have slipped, owners have updated status, and new risks have appeared in three different places. Conductor answers one question instantly: What changed since Monday?

Follow our event page to stay up to date! See you in Dallas on October 22nd 🧡

ArchiveLink, CMIS oder SAP ILM: Was passt zu Ihrer SAP-Landschaft? Nicht jede SAP-Architektur ist gleich. Warum sollte es bei der Archivierung anders sein? Mit nscale stehen unterschiedliche Bausteine für verschiedene Anforderungen zur Verfügung: 📁 ArchiveLink Belege aus SAP heraus archivieren und wieder anzeigen. ☁️ CMIS Dokumentenaustausch für Public-Cloud- und hybride Szenarien sowie die Einbindung in moderne SAP-Umgebungen. ⏱️ SAP ILM Aufbewahrungsregeln, Sperren und kontrollierte Löschprozesse unterstützen. Dafür bietet nscale passende Komponenten wie den nscale ERP Content Service, nscale ERP CMIS und den nscale ERP Connector for SAP ILM.

⚙️ Muss sich Ihre IT-Landschaft an Ihr Archiv anpassen? Unternehmen arbeiten heute mit unterschiedlichsten ERP-Systemen, Fachanwendungen, Microsoft-Lösungen und Cloud-Services. Ein modernes Archiv darf dabei nicht zur nächsten isolierten Insel werden. nscale lässt sich deshalb flexibel in bestehende IT-Landschaften integrieren. 🧩 Modulare Bausteine 🔗 Schnittstellen zu bestehenden Anwendungen ☁️ Flexible Betriebsmodelle 🗂️ Zentrale Informationsbasis Und wenn Standard nicht ausreicht, unterstützt unser Inhouse Consulting und unsere Entwicklung bei der passenden Umsetzung.

For 16 years, I've been working on making event sourcing easier to adopt. I just realized I've only been looking at half of the problem. When I started experimenting with CQRS and event sourcing back in 2008, I quickly saw the value it brought. The cost of implementing it, however, was high. Lots of plumbing, lots of new concepts to learn. So I set myself a goal: bring that cost down until the return on investment made sense. Axon Framework was built around that idea, and so was Axoniq. This summer, I gave the keynote at the Event Modeling Conference in Munich, titled "Event Sourcing for the other 95%". While preparing it, something started to bother me. Event sourcing is pretty much the summum of event-driven architecture. For greenfield applications, building on it from day one has proven to be a clear win, time and time again. But most applications aren't greenfield, and most of them don't need the full 100%. For those, 80% is more than enough. Restructuring an existing application around event sourcing is a major undertaking, and that last 20% rarely brings enough value to justify it. Especially when the system has been running for a decade and nobody really dares to touch it anymore. So we asked ourselves a different question. What if we took everything we've learned about what good events look like, combined it with the storage and distribution technology we already have, and applied that to legacy systems? And what if that didn't require you to change a single line of code? Regardless of the language the system was written in, and regardless of whether the people who built it are still around. That sounded too good to be true, which is exactly why we wanted to try it. We ran a few experiments to find out whether it can be done. It can. So that's what we're building right now. Here's how it works. We look at how a system interacts with the outside world: its APIs, its database, the messaging middleware it talks to. We combine that with the internal code flow and, if it's available, the source code. From that, we map out which actions carry which business meaning. When such an action occurs, we emit an event that represents what happened in business terms. Live, as it happens. This allows any legacy system to take part in an event-driven architecture. And unlike Change Data Capture, which tells you that a row in table ORD_HDR was updated, these events tell you that an order was placed. That makes them far more useful for long-term storage and for analysis later on. Should I have thought of this 16 years ago? Maybe. Perhaps I even did, at some point. But it wouldn't have helped much. One of the ingredients that turned out to be absolutely necessary wasn't reliable enough back then: AI. How many systems in your landscape will never be rewritten, but would tell a very interesting story if they could?

Technologie muss nicht komplexer werden, um mehr zu leisten. ✔ Sie muss verstehen, was Menschen brauchen. Informationen finden, Zusammenhänge erkennen und Prozesse verbinden. Die Fabasphere bringt Dokumente, Prozesse und KI zusammen – damit digitale Arbeit einfacher wird. It’s only Natural.

Technologie muss nicht komplexer werden, um mehr zu leisten. ✔ Sie muss verstehen, was Menschen brauchen. Informationen finden, Zusammenhänge erkennen und Prozesse verbinden. Die Fabasphere bringt Dokumente, Prozesse und KI zusammen – damit digitale Arbeit einfacher wird. It’s only Natural.

Most organizations know who logged in. Far fewer know what happened next. The browser has become the workplace, where employees access apps, share data, collaborate with partners, and interact with AI long after authentication. Citrix SecurAccess with Chrome Enterprise helps organizations protect browser-based work without adding more complexity.

Everyone is frustrated with GitHub at this point. Reliability issues left and right. On top of that, it's entirely unclear if git and our current approach of versioning makes sense going forward. Code is becoming abundant and cheaper to generate. At the same time, the context, prompts and input to what generated the code become more important (and need to be versioned as well). Whether git is the protocol/technology we use going forward or not is hard to predict. What's definitely happening is that source code storage and versioning is being added as a feature to other platforms. Cursor and SpaceXAI are leading the charge and Cursor Origin really sets them apart from the other labs. Generate your code with Cursor, store your code in Cursor. It just makes sense. I'm excited that we integrated Jenkins and CloudBees CI (our enterprise product for Jenkins) with Cursor Origin. Thank you Davy L. Diane Liu Tony Li and everyone who helped make this happen together with Antonio Muñiz Jesse Glick James Nord Jordan Matthiesen Thierry Wasylczenko.