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Incorta connects directly to your SAP & Oracle ERP - delivering live manufacturing insights without the ETL headache.

Incorta Intelligence lets every team member - from plant managers to the C-suite - query live operational data in plain English.

Luciq surfaces silent friction and resolves it autonomously before it hits your app store ratings, retention, or revenue.

Luciq captures what generic tools miss: battery health, network switching, and thermal data. Built for mobile from the ground up.

Retain absolute ownership over your data, IP, and AI models across any cloud or data center.

Introducing the definitive hybrid data and AI platform engineered for the agentic AI era.

We'd love 30 minutes to show you what's new for your sector. Book a brief demo with our team and to say thank you for your time we'll send a £100 gift card (or local currency alternative), right after the call.

A false positive costs more than a missed transaction. See how measured IP data supports compliance decisions, stop by booth 16106.

A new national poll of 16,000+ Americans from Fraym and Kyle House Group reveals that 78% of U.S. adults support funding global childhood immunization, including majorities in all 435 House districts. #PublicOpinion #PublicHealth #GlobalHealth #Immunization #ForeignAssistance #DataForImpact

Modern IT environments generate massive volumes of operational telemetry.

Operational data across modern IT environments continues to grow in scale and complexity.

Automotive telemetry is everywhere. The challenge is turning that continuous stream of data into something teams can actually use. Vehicle and manufacturing data comes with the complexity of a time series workload: continuous ingestion, time-bounded queries, multiple levels of resolution, changing analytical requirements, and the need to balance historical context with real-time insight. So what does a practical automotive time series data layer look like? Our latest article explores how InfluxDB can bring ingestion, resampling, gap filling, filtering, downsampling, forecasting, caching, and retention together, while keeping these capabilities flexible rather than locking them into one tightly coupled pipeline. The goal: a data foundation that can adapt as automotive use cases evolve, from operational efficiency to deeper data-driven insights. Read the article for the automotive reference architecture.

Descarga gratuita del informe actualizado de procedimientos concursales y disoluciones Un análisis actualizado con la evolución de empresas con información por geografía y sector.

Captar más clientes, conocerlos mejor y aprovechar su potencial es la base del crecimiento de los negocios ¿Empezamos? Accede de forma gratuita al segmentador de INFORMA y construye la audiencia perfecta para su próxima campaña.

A laptop running DuckDB can regularly match the performance of warehouses costing seven figures a year. Why is it so damn fast? How is it possible that it can run the TPC-H SF100 benchmark in 478s on an iPhone 16 Pro, and 235s on a Galaxy S24 Ultra? Greybeam sends millions of queries to DuckDB, so I had to figure it out. Turns out it's not just its fancy vectorized execution or morsel driven parallelism or columnar storage. It's all of those things! And a set of deliberate design decisions based on decades of database research. In Part 1 of our DuckDB internals series, I walk through a high level of what happens between you submitting a SQL query and execution: → Why in-process execution is fast → The 33 query optimizers DuckDB ships with → Columnar storage, row groups, and zone maps → Why querying Parquet can be as fast as a DuckDB table Read Part 1 here 👇 https://lnkd.in/eGyb_Nn2 p.s. we need a rematch of iPhone vs Android 👀

Sharing a single test database across multiple teams isn’t collaboration. It’s an accident waiting to happen. Here is a scenario I see at enterprise organizations all the time: 1. Team A executes a test run that alters or corrupts state data. 2. Team B’s automated pipeline fails 10 minutes later because the data was altered. 3. Developers waste 3 hours debugging "ghost bugs" caused by dirty data instead of broken code. 4. Everyone lodges a ticket with the DBA team for a refresh and waits... again. When test environments are centralized and shared, speed dies. To scale software delivery without blowing up your infrastructure costs or triggering GDPR privacy risks, you need to decouple your teams. How? 🔹 Ditch full terabyte production copies. Reduce databases to 10% representative subsets. 🔹 Give every team their own isolated, virtual copy of that subset that resets in seconds, not hours. 🔹 Let QA engineers refresh their own clean state via CI/CD pipelines without waiting on DBAs. When teams own their test data in isolation, workarounds disappear, release delays drop, and test coverage actually hits 100%. Read the full breakdown on organizing test data across enterprise teams. Link in comments.

Your SIEM invoice may be making security decisions for you. When pricing scales with ingest, teams make rational trade-offs: sample NetFlow, drop DNS, filter endpoint telemetry, shorten retention. The problem shows up months later, when new threat intelligence lands and the question becomes: Do we still have the data to investigate it? Our new white paper, The Invoice Shouldn't Be the Architecture, breaks down how security platform pricing shapes data collection, retrospective investigation, breach scoping, and total cost. It also includes a practical renewal checklist and TCO worksheet to help you evaluate what your platform is really costing you. 👉 Download the whitepaper: https://lnkd.in/gjUG-fTf #Cybersecurity #SIEM #SecurityOperations #ThreatHunting

We’re heading to Atlanta for Augmented Enterprise Summit! The Cognitive3D team will be at AES October 13–15, connecting with teams working across enterprise XR and talking about how spatial analytics can provide better visibility into immersive programs, from user behaviour and performance to outcomes and ROI. If you’re attending, come find us at Booth 101 to meet the team and see what we’ve been working on. 🌴 And if you’re wondering why we’ve gone with a tiki theme this year… ask us about it. There might be a little more happening beyond the expo floor! 📍 Atlanta, GA 📅 October 13–15, 2026 📌 Booth 101 See you at AES!

Le vrai coût d'un piratage se mesure en confiance perdue. Regardez la vidéo complète pour savoir comment la protéger.

Quanto tempo pode o seu negócio estar parado? Veja o vídeo completo e defina o tempo de recuperação certo.

The majority of financial institutions say siloed data is holding back their fight against financial crime. Yet the appetite for agentic AI has never been higher. Will your investment in data architecture create the foundation for AI, or another layer it has to work around?

A IA já é uma realidade no mundo dos negócios! Aqui na BlueMétrics ajudamos acelerar o seu através da IA

A IA já é uma realidade no mundo dos negócios! Aqui na BlueMétrics ajudamos acelerar o seu através da IA

Learn how we taught LLMs to speak fluent Splunk - translating SPL to APL with open-source skills, then proved it works with rigorous evals.