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Your virtualization strategy will change. Your storage shouldn’t be a blocker. Evolve with a data storage platform built for what’s next.

Everpure a été classé 2 fois parmi les leaders du Gartner® Magic Quadrant™ 2026 pour les plateformes de stockage d’entreprise. Explorez le rapport.

Transform your enterprise data into a single source of truth with OpenDQ Matrix360. Our AI-powered platform integrates Data Quality, Master Data Management, and Knowledge Graphs to deliver actionable insights that drive smarter decisions. Experience unparalleled accuracy and trust in your data while enhancing operational efficiency—without the burden of licensing costs. A comparable Data Quality + MDM + Knowledge Graph + AI solution from legacy vendors typically costs $50K–$1 million dollars in annual licensing alone. OpenDQ Matrix360 delivers enterprise‑grade capabilities with zero licensing fees and no scale penalties. You get 100% data validation, 99.9% data de‑duplication, and hyper-scalable trusted data at a fraction of the cost. Take a look at what we have to offer! Demo today!

A great product can't outrun a broken onboarding flow. Watch exactly how new signups interact with your software, and eliminate the UI hurdles standing between them and their "aha" moment.

Discover the power of OpenDQ Matrix360 by Infosolve Technologies, Inc. This AI-driven platform unifies Data Quality, Master Data Management, and Knowledge Graphs to create a single source of truth for your organization. Deliver trusted data across the enterprise without the constraints of traditional licensing. If your organization needs clean, governed, and reliable data, you need a unified, advanced technology stack that can scale. OpenDQ Matrix360 delivers exactly that — on a zero‑license‑cost platform. Build trust in data with outcomes backed by measurable results: 100% Data Validation across all sources 100% Data Corrected using deterministic, audit‑ready rules 99.9% De‑Duplicated Records with AI powered identity resolution Scale from millions to billions of records on a highly advanced, unified platform built on the Trust Triad: Data Quality + Master Data Management + Knowledge Graph Register for a demo or download the software today.

Weg von Excel? Aus IT-Sicht heißt das: weg von verstreuten Dateien und manuellem Kopieren, hin zu einer Planung, die in Fabric entsteht und dort bleibt, mit Audit und Status je Planungsphase. Wie das aufgebaut ist, zeigt der Leitfaden.

Noch mehr Berichte? Fabric kann mehr! Auf OneLake und der Medaillon-Architektur lassen sich Planung, Simulation und KI-gestützte Zweitmeinung aufsetzen, nativ in Fabric und ohne Add-ons. Was dafür nötig ist, zeigt unser Leitfaden.

Co musí fungovat, aby se firma skutečně rozhodovala na základě dat? Na Better Data Evening budu moderovat panelovou diskusi, kde se na toto téma podíváme ze čtyř různých perspektiv. V panelu se potkají: Tomáš Hubík (Chief Information Officer, Foxconn Česká republika), Ondrej B. (Chief Digital Officer, SCONTO Nábytek Česká republika), Martin Krc (Head of Statistical Data Services, Národná banka Slovenska), Martin Kostic (Chief Executive Officer, EMARK). Budeme mluvit o důvěře v data, interní spolupráci, praktických zkušenostech z projektů i AI podpoře rozhodování. 𝟏𝟓. 𝟏𝟎. 𝟐𝟎𝟐𝟔 | 𝐁𝐞𝐭𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐄𝐯𝐞𝐧𝐢𝐧𝐠 | 𝐎𝐑𝐄𝐀 𝐇𝐨𝐭𝐞𝐥 𝐀𝐧𝐠𝐞𝐥𝐨, 𝐏𝐫𝐚𝐡𝐚 Registrujte se zdarma na 👉 https://lnkd.in/dNtUqdx5

𝐀 𝐝𝐞𝐜𝐚𝐝𝐞 𝐨𝐟 𝐩𝐫𝐨𝐯𝐞𝐧 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠. 𝐍𝐨𝐰, 𝐚 𝐧𝐞𝐰 𝐜𝐡𝐚𝐩𝐭𝐞𝐫 𝐟𝐨𝐫 𝐄𝐒𝐄𝐓. Hear Martin Kula from ESET Slovensko explain how a planning solution that evolved with the business is moving towards a new generation of modern planning. 𝐁𝐞𝐭𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐁𝐫𝐚𝐭𝐢𝐬𝐥𝐚𝐯𝐚 · 𝟐𝟖 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 Explore the programme 👉 https://lnkd.in/d7uCZWBW Free attendance, subject to approval.

Werk zonder losse tools of handmatige stappen. Voer al je Wwft-checks uit in één overzichtelijke workflow, van identificatie tot monitoring.

The potential of machine learning in dairy starts long before the prediction. It starts with quality data. Farm data often comes from multiple systems and sources. When that information is fragmented or inconsistent, it becomes harder to compare performance, recognize meaningful patterns, and generate reliable insights. Before machine learning can help farmers and advisors identify risks or make more proactive decisions, the underlying data must be collected, cleaned, standardized, and regularly updated. That is where Dairy Data Warehouse comes in: transforming fragmented farm data into reliable, comparable, and actionable information. As Pablo Janowicz puts it: "machine learning depends on good quality data". Find out how DDW can help you get better data.

What's the role of onboarding in data as a service companies in the dairy industry? I recently fielded some questions on how onboarding drives value for our customers at Dairy Data Warehouse (DDW) from Feed & Additive Magazine. https://lnkd.in/eNPhcfh8

Many AI initiatives fall short—not because of the model, but because they're built on inaccurate, incomplete, or inconsistent data. Every broken pipeline, schema change, or unnoticed data quality issue increases the risk of unreliable AI outputs. Before you scale AI, make sure your data is ready. With automated data validation and continuous testing, you can: ✅ Ensure data accuracy across pipelines ✅ Detect issues before they impact AI models ✅ Validate transformations and migrations ✅ Build confidence in every AI-driven decision Trusted data isn't just a data quality goal—it's the foundation of successful AI. Prepare your data. Power your AI with confidence. Learn how to turn trusted data into AI-ready data.

Many AI initiatives fall short—not because of the model, but because they're built on inaccurate, incomplete, or inconsistent data. Every broken pipeline, schema change, or unnoticed data quality issue increases the risk of unreliable AI outputs. Before you scale AI, make sure your data is ready. With automated data validation and continuous testing, you can: ✅ Ensure data accuracy across pipelines ✅ Detect issues before they impact AI models ✅ Validate transformations and migrations ✅ Build confidence in every AI-driven decision Trusted data isn't just a data quality goal—it's the foundation of successful AI. Prepare your data. Power your AI with confidence. Learn how to turn trusted data into AI-ready data.

The same property can appear differently across listing platforms. Datamam helps you compare prices, fees, availability, and property details across selected sources in a normalized format.

Choose the markets, sources, properties, data fields, collection frequency, and delivery method. Datamam engineers the real estate data infrastructure you actually need for your project.

Finance zegt 10. Sales zegt 12. Wie heeft gelijk? Als afdelingen op andere cijfers sturen, is het tijd om uit te zoeken waar die verschillen ontstaan. Dat kan komen door verschillende definities, systemen of rapportages die niet op elkaar aansluiten. Bespreek het met een van onze dataspecialisten om inzicht te krijgen in de oorzaak en weer te sturen op eenduidige cijfers.

Staat je data verspreid over verschillende systemen en kost het je veel tijd om alles bij elkaar te zoeken? Bekijk in een demo hoe je gegevens uit verschillende bronnen samenbrengt en omzet in één helder overzicht met bruikbare inzichten voor betere beslissingen.

Professionnels de l'immobilier, quelle est la meilleure façon de prévoir les marchés de demain ? 💡 En Observant les projets que les collectivités préparent aujourd'hui : ✅ 2 479 projets d'aménagement urbain identifiés ✅ 23 118 hectares en projet ✅ Des opérations réparties sur l'ensemble du territoire 📥 L'étude complète est disponible en téléchargement ici 👉 https://hubs.ly/Q04z6_080 A consommer sans modération pour orienter votre stratégie de développement 😊 Bonne lecture !!

Defence tech VC funding is now the fastest-growing sector in European venture capital. The State of Defence Tech 2026, produced with Resilience Media, covers record funding, Munich's rise, the growing role of US investors, talent pipelines and procurement.

For 24 months we worked next to Kimberly-Clark's team on their master data project. On Wednesday the 30th, they tell the story themselves. What they changed, what got hard, and what the results look like today. If you only pick one session at Connect this year, pick this one. We'll be in the front row. See you in Austin. Thank you, Stibo Systems, for building a stage where the entire partner ecosystem can push the limits of trusted intelligence.

In September 25, we close the guest list for our Austin dinner. If you're flying to Stibo Systems Connect and you work with MDM or PIM, this is the room you want to be in on Monday night. People who deal with messy data every day. Teams that already solved some of it. Click on the image to save your seat.

Går du med overvejelser om at få jeres egen Business Intelligence-løsning? Så vil jeg anbefale dig at kigge vores guide igennem, hvor vi gennemgår de mest almindelige bekymringer, men også hvordan du får succes med implementeringen af BI i 2027. På bare 20 letforståelige sider får du indsigt i: ✅ Hvordan du nemt udnytter din virksomheds egne data ✅ Hvordan du får fingeren på pulsen og på den måde kan handle og tage datadrevne beslutninger ✅ Hvad det konkret kræver at komme i gang med BI ✅ Hvordan du får succes og værdi med BI Du skal bare skrive dig op nedenfor, og så sender vi dig guiden.

Jeg spørger SMV’er hver dag: “Hvorfor er du ikke kommet i gang med Business Intelligence endnu?”😰 Mange SMV’er ser BI ud fra perspektivet “Stor risiko - Stor reward”.😕 Og selvom rewarden lyder godt, så gør den store risiko, at mange ikke tør tage de første skridt, og undskylder med “Det er dyrt”, "Får vi det brugt?", og “Det er et kæmpe projekt - vi venter til i morgen.” Men lige nu har det aldrig været nemmere at komme i gang!🚀 Og jeg har udarbejdet en guide, der konkret fortæller, hvordan du starter og får succes med implementeringen af din egen BI-løsning i 2027. Udfyld blot formularen, og så sender jeg dig pdf'en på mail med det samme.✅