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“What’s the number?” is one question. “Can you prove it?” is another. For MIFIDPRU reporting, confidence in a figure means being able to trace it back through the data, calculations, adjustments and approvals behind it. It’s not just about knowing the answer. It’s about knowing how you got there. Make every MIFIDPRU number defensible.

AIDA turns your dashboards into decision engines. From sales to marketing to inventory, AIDA gives you clarity when and where you need it.

Dealers are already saving hours and uncovering thousands in missed opportunity. Book your AIDA demo and see what AI clarity looks like.

Watch the webinar recording as Supper co-founders Lowell Putnam and Andrew Salamon share decision frameworks, when OKRs help (vs. hurt), and how to make your board a true advantage: https://lnkd.in/ezSNDxhe Unlock a practical “operating system” for running a startup.

Is your data trust an asset or a liability? Learn what financial institutions are doing today to modernize and what some are doing differently to gain a competitive edge.

Implementing an AI platform across siloed institutions may seem insurmountable. Learn how to transform your data into a trustworthy, compliant, and reliable asset.

Stop manual queries and dashboard overload. Ask in plain English and get actionable answers instantly.

The best data teams act on insights. Athenic is your AI Data Analyst, always ready.

Selling satellite imagery should not rely on spreadsheets, email threads, and manual workflows. Sales Engine creates a digital commercial layer for Earth Observation. Bring pricing, ordering, tasking requests, and fulfilment into one system.

Customers expect a modern way to discover and purchase satellite imagery. Sales Engine enables self-service ordering, tasking requests, and automated delivery in one platform. Built for satellite operators and EO resellers.

Many #Salesforce teams don’t realize they need a data dictionary until something breaks, an initiative (like AI) fails, or trust in their data is lost. Join Eric Raymond (Director, Salesforce at BambooHR) and Brian Olearczyk to learn the top 3 signs your org needs a modern 🤖 Salesforce data dictionary. They'll cover: 🔵 How to gain full visibility into your fields, usage, and ownership and avoid costly downstream breakage 🔵 How to ensure connected apps are secure so you can avoid the next round of Shiny Hunters attacks 🔵 How to use a Salesforce data dictionary as the foundation for building a trusted data model for larger business initiatives, like AI Save your spot 👉 https://lnkd.in/guzWdqHj

Many #Salesforce teams don’t realize they need a data dictionary until something breaks, an initiative (like AI) fails, or trust in their data is lost. Join Eric Raymond (Director, Salesforce at BambooHR) and Brian Olearczyk to learn the top 3 signs your org needs a modern 🤖 Salesforce data dictionary. They'll cover: 🔵 How to gain full visibility into your fields, usage, and ownership and avoid costly downstream breakage 🔵 How to ensure connected apps are secure so you can avoid the next round of Shiny Hunters attacks 🔵 How to use a Salesforce data dictionary as the foundation for building a trusted data model for larger business initiatives, like AI Save your spot 👉 https://lnkd.in/gXsABguR

Enterprise Vault has been around for decades, but many organizations are finding themselves stuck between rising renewal costs and a migration project they've been putting off for years. Whether you're approaching renewal or simply tired of maintaining a legacy archive, now is the time to evaluate your options. Archive360 helps organizations migrate Enterprise Vault data while preserving metadata, legal holds, chain of custody, and compliance requirements.

Still no archiving plan for your 2027 ECC migration? ⚠️ ECC support ends December 31, 2027 - and migrations take 18–36 months. The window is closing fast. Every month of unarchived data adds scope, inflates HANA costs, and delays your go-live. ✓ Reduced migration scope ✓ Lower S/4HANA storage costs ✓ Audit-ready historical data 📥Download the free ECC Archiving Guide → Enquire now: (+1) 6268 426 482

Is your business data ready for AI? AI initiatives fail when data is unknown, unstructured, or exposed. Before you deploy AI, you need to understand what data you have, where sensitive information lives, and what should be governed. Join Aparavi’s live webinar to learn how to prepare business data for secure, successful AI initiatives. Featuring Andrew Shaw, Head of Applied AI & Solutions Engineering, and Bapi Vinnakota, VP of Engineering. August 19 | 11:00 AM PT / 8:00 PM CEST Register now.

Todo está monitorizado. Pero nadie ve el conjunto. Red por un lado. Servidores por otro. Cloud en otra consola. Inventario en un Excel. En el día a día parece asumible. Hasta que algo falla y el equipo tiene que reconstruir la historia a saltos. Pandora FMS ayuda a ver la infraestructura como un conjunto: red, servidores, cloud, aplicaciones y sistemas legacy en una misma vista operativa. Para equipos IT que necesitan menos pantallas abiertas y más claridad cuando importa.

Cuando negocio llama, IT ya llega tarde a la conversación. Un sistema lento. Una aplicación caída. Un cliente afectado. Una llamada desde negocio preguntando qué ocurre. Cuando la primera señal llega desde fuera de IT, la incidencia ya cambió de sitio: ahora también afecta a la confianza. Pandora FMS ayuda a los equipos IT a ver antes las señales, priorizar lo importante y actuar con más contexto.

Did you know? Industry analysts commonly estimate that 60–80% of enterprise data becomes inactive over time, yet much of it remains in production systems. Migrating unnecessary legacy SAP data increases storage costs and project effort without adding business value. Talk to our SAP experts to identify archivable data before your S/4HANA migration. or Enquire now: (+1) 6268 426 482

Named as a Leader in the 2025 DCGA Gartner® Magic Quadrant™

We're teaming up with MotherDuck to show you what happens when serverless analytics meets AI automation. 🦆 In this 45-minute hands-on lab, you'll build production-ready data pipelines that actually run themselves—from ingestion to orchestration—using MotherDuck's serverless platform and Agentic Data Engineering. We promise to limit the fluff so you get to actually build cool stuff. Here's what we'll do: ✅ Build live on MotherDuck's serverless analytics platform ✅ Work with agents to automate manual work ✅ Walk away with approaches you can deploy at scale Join us December 3rd. Spots are limited, so make sure you register for the live session or to grab the recording → https://lnkd.in/gQizKMnD

🐐 Engineers of a feather, flock together. 🦆 We're teaming up with MotherDuck to show you what happens when serverless analytics meets AI automation. In this 45-minute hands-on lab, you'll build production-ready data pipelines that actually run themselves—from ingestion to orchestration—using MotherDuck's serverless platform and Agentic Data Engineering. We promise to limit the fluff so you get to actually build cool stuff. Here's what we'll do: ✅ Build live on MotherDuck's serverless analytics platform ✅ Work with agents to automate manual work ✅ Walk away with approaches you can deploy at scale Join us December 3rd. Spots are limited, so make sure you register for the live session or to grab the recording → https://lnkd.in/gCBk-2QY

To celebrate the launch of Anlytic we’re opening 10 Annual Pro Plan access spots valued at 5,400 EUR each. If you’ve been following the journey you know how much work went into making. If you’d like to take part: - Connect with me here - Comment “Pro Plan” We’ll reach out through DM to confirm the 10 selected participants. Anlytic is a tool that helps teams move faster, understand their data and make decisions without the usual friction. This is our way of saying thanks to everyone who supported us while we were in early access. #dataanalytics #bitools #datatools #aiagents

Rules catch what you've already anticipated. Anomaly detection finds what nobody thought to check. Download the comparison guide to see the difference.

Static rules struggle in dynamic environments. Download the guide to learn how automated monitoring adapts as your data evolves.