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Thousands of queries run daily in Snowflake. But which ones actually need optimization? Anavsan surfaces repeated workloads, simulates improvements safely, and reveals hidden storage and AI usage patterns instantly. Start with visibility that drives action.

Most AI infrastructure gets bought one vendor at a time. Streaming here, a database there, search bolted on later. Seven contracts, weeks of glue. The Aiven Data & AI Cloud: one control plane, any cloud, no lock-in.

"Who are our most profitable customers?" Six systems, no canonical table, a "profit" column that is really revenue. Now point an agent at it. Aiven DataHub gives people and agents the same trusted map: what data exists, what it means, who owns it, whether it's safe to use.

Institutional teams are not monitoring a single conversation. They are navigating an entire information environment. The same issue can develop differently across countries, languages and communities. Relevant signals emerge through media, social platforms, institutions, political actors, experts and civil society. A Data Pro connects these signals to reveal how narratives are framed, where they gain traction, who shapes them and how influence moves. Understand the environment before it changes the conversation. ➡️ https://bit.ly/4x6iCBk

Institutional communication is shaped by more than media coverage. A Data Pro connects sources, narratives and influence to help communication teams understand how issues emerge, who shapes them and how they move across markets. With multilingual monitoring, AI-assisted technology and expert analysis, we turn complex information environments into actionable intelligence. Explore integrated media intelligence for institutional decision-making. ➡️ https://bit.ly/4pR39mf

Meet Conviva at ProductCon in NYC on May 20 to learn how to tune your agents based on real consumer behaviors to lift resolution and trust.

Meet Daniela Reyes telling the Kimberly-Clark growth story live at Stibo Connect 2026. As Product Manager, Digital Content Platforms at Kimberly-Clark, she brings more than a decade in master data management and enterprise platforms across PIM, DAM and data governance. Austin. Sept 30. Save the date.

We're not going to Austin to give a talk. We're going to hand you three things you can use on Monday. At Stibo Systems Connect 2026, Kimberly-Clark takes the stage to share their master data journey — 18 months of it, with us alongside. We can't spoil the story. But we can tell you what you'll walk out with: 1. Simplify before you scale. There's a type of debt nobody puts on the balance sheet, and it decides how fast your platform can move. KC dealt with it first. We'll show you why that order matters. 2. Partner for capability, not just capacity. Extra hands are easy to find. What made the difference under pressure was something you can't hire fast enough — and the session gets specific about it. 3. Clean, governed data is your ticket to the agentic era. If your data can't drive an agent, it can't drive your future. That's not a tagline — it's the reason this whole story exists. The how, the trade-offs, the decisions behind each one — that's what the session is for. Austin, September 30. If master data is your problem, this hour pays for the trip. Drop a comment if you'll be there. Let's talk. #StiboSystemsConnect

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🔴 Production Crises: When Factory Data Lives in Silos Behind many production disruptions, you’ll find the same root cause: fragmented systems and poorly managed data. At FanRuan, we apply proven data management solutions to reduce crises stemming from inefficient production procedures. 👇 The Smart Factory is here, and FanRuan helps your systems to evolve.

Modern field data collection is here. Intuitive mobile mapping with offline support and instant office sync.

If your leadership meetings still start with “Wait, why does your number not match mine?”, you’re not alone. Most teams aren’t suffering from a lack of data. They’re suffering from Metrics Chaos, too many definitions, too many versions of the truth, and too little shared context. The latest version of FineBI might be built exactly for that. FineBI 7.0 Metrics Hub is not just a new feature. It’s a shift from “every team has its own version of the truth” to “we share one metrics language across the business.” Click to learn more.

The difference is clear. With EncompaaS, Copilot works only with trusted, business-purpose-classified, and metadata-enriched information. Explore Copilot + EncompaaS.

The difference is clear. With EncompaaS, Copilot maintains governance, respects access controls, filters out PII, and delivers authoritative, relevant, and complete results. Explore Copilot with enterprise data you can trust.

Viele Stadtwerke haben die Daten, die sie brauchen – aber nicht in der Form, in der sie Entscheidungen wirklich unterstützen. Wie Stadtwerke Karlsruhe Netzservice dieses Problem gelöst hat, zeigt unser Beispiel. Informationen liegen verteilt in verschiedenen Systemen, müssen aufwendig zusammengeführt werden und stehen oft nicht dort zur Verfügung, wo sie benötigt werden. Das Ergebnis: Routinefragen werden zu kleinen Projekten. Einfache Auswertungen kosten Stunden. Und Entscheidungen warten – auf Daten, die eigentlich längst vorhanden sind. Die Stadtwerke Karlsruhe Netzservice GmbH hat dafür eine Lösung gefunden: eine gemeinsame Sicht auf die Daten.

Pharma data teams don't lose AI initiatives to bad models. They lose them to what comes after. The validation review. The governance checklist. The manual pipeline that breaks when someone changes a schema. This whitepaper shows what a different delivery model looks like, and how AstraZeneca used it to go from months to hours. Download the whitepaper now.

Researchers benefit greatly from a data product governance model. We know, because we've helped data leaders at imec, VITO, UHasselt and more to build it. Now we packaged our learnings into a new solution offering. Take the first step and sign-up for our one day workshop to get started.

At most institutions, research data sits with individual researchers and gets deleted when projects end. Data products change that equation. We work with research institutions on exactly this, and these are the problems we see most often and how we use a data product governance model to solve them. If you're curious, we launched a Data Product Workshop where we teach our approach to data leaders and data teams at research institutions who struggle with similar challenges: https://lnkd.in/eDSFzZFF

Unify file, object, cloud and tape storage without replacing existing infrastructure. See how Harmony Data Bridge simplifies storage management.

Deep.BI is a global expert in Apache Druid, supporting deployments of all sizes, from smaller setups to large-scale clusters across hundreds of nodes. Our expertise has significantly reduced both hardware costs and commercial license fees for organizations in finance, telecommunications, manufacturing, IT, and marketing.

Spark workloads shouldn’t slow your team down—or drain your cloud budget. But too often, engineers end up stuck in tuning loops and late-night firefights instead of building what actually moves the roadmap. There’s finally a better way. 🔥 DataPelago gives your existing Spark environment an instant lift, supercharging even your slowest pipelines without a single code change. Faster runs, dramatically lower compute spend, and engineers who can focus on shipping—not troubleshooting. If leveling up Spark is this effortless… Why wait? See how leading teams are accelerating Spark in minutes.

The world's most demanding enterprises don't compromise on data control. Neither do we. Here's why teams at some of the largest regulated organizations run Countly.

What if your pipelines could keep running on a Global File System that stays current as data changes, without constant rebuilding?

What if compliance stayed visible as documents move through AI workflows?