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Wil jij de toekomst van je data-ecosysteem bepalen? FabricCompass helpt je met een no-nonsense whitepaper: van de kern van Microsoft Fabric tot een slim advies voor waardecreatie. Voor strategische denkers die het verschil maken. 🚀https://lnkd.in/e3DWKgxp

Werk je met Excel-rapporten die te traag, foutgevoelig of moeilijk schaalbaar zijn? Met Power BI zet je data om in duidelijke dashboards die écht gebruikt worden. Ontdek hoe je sneller tot inzichten komt.

Bonus abuse, account takeover, payment fraud, money laundering through in-game economies: Gambling and online gaming operators are managing more complexity, under more regulatory scrutiny, while still being expected to deliver a seamless experience to players.

We get it, Supply Chain teams are under pressure. Every day brings new disruptions, supplier instability, and production challenges. That’s why risk management isn’t optional anymore—it’s a competitive advantage. At this year’s MEMA Original Equipment Suppliers Annual Conference, we’re talking about how to turn reactive firefighting into proactive control. Stop by Booth 5000 and see how SupplyAware™ helps teams stay one step ahead. #MEMA2025 #SupplyChain #RiskManagement #Manufacturing

We’re not just attending MEMA — we’re listening. The MEMA Original Equipment Suppliers Annual Conference is just around the corner (November 19), and we’d love to connect before the event. If you’re currently navigating supply chain instability, financial uncertainty, or supplier risk challenges, let’s start the conversation early — either here on LinkedIn or through this short form: https://lnkd.in/eNcXGSvC At Elm Analytics, we believe transparency, partnership, and performance define resilient supply chains. Let’s learn what you’re experiencing so we can make the most of our time together at MEMA. We’re ready for you — if you’re ready for us.

Generative AI is redefining how telecom operators innovate, but many are still stuck between pilot projects and true business impact. Join us for an in-depth webinar on how telecom leaders can bridge the divide between GenAI adoption and transformation. What you’ll gain: → State of AI in Business: The Reality Check → Critical Success Factors for GenAI Integration → The Learning Gap: Why Memory Matters → Five Myths About GenAI in Enterprise → Crossing the Divide from Adoption to Real Transformation 📅 26 November 2025 | 🕙 10:00 CET 🎤 Speaker: Mohammad Shaheen |🎙 Moderator: Guy Redmill ➡️ Register today: https://lnkd.in/dNmAt-BM #GenAI #Telecom #AITransformation #TelcoInnovation #Webinar

Join us for an in-depth webinar on how telecom leaders can bridge the divide between GenAI adoption and transformation. Generative AI is redefining how telecom operators innovate, but many are still stuck between pilot projects and true business impact. What you’ll gain: → State of AI in Business: The Reality Check → Critical Success Factors for GenAI Integration → The Learning Gap: Why Memory Matters → Five Myths About GenAI in Enterprise → Crossing the Divide from Adoption to Real Transformation 📅 26 November 2025 | 🕙 10:00 CET 🎤 Speaker: Mohammad Shaheen ➡️ Register today: https://lnkd.in/dwqGXvNj #GenAI #Telecom #AITransformation #TelcoInnovation #Webinar

As AI agents become more sophisticated, leaders face a new challenge: how do you ensure these agents act responsibly? In her latest blog post, Edge Delta CISO Joan D Pepin shares a practical framework for deploying AI agents safely. She breaks down where the biggest risks live — from data exposure and privilege escalation to compliance blind spots — and how to mitigate them through defense in depth. At Edge Delta, we’ve built these principles directly into our collaborative AI Teammates. Our AI agents: ✅ Operate with read-only access by default, keeping humans in control of any state changes ✅ Run on our enterprise-grade Telemetry Pipelines, which act as guardrails to prevent sensitive data exposure ✅ Provide comprehensive, end-to-end logging for full transparency and auditability Joan’s framework outlines how to start smart, scale safely, and build the trust required for responsible AI adoption. Read the full post here: https://lnkd.in/eHTA9UJb

🌎 Everyone’s talking about model quality, LLM performance, and fine-tuning. Recently I've used GitHub, Cursor, OpenAI Codex, Vercel v0, Replit, and a few others, but here’s the hard truth: 80% of AI outcomes are determined before you ever touch a model. (I made up this statistic but it sounded about correct). The real bottleneck? Getting the right data in the right format, with the right context. Raw logs, fragmented telemetry, missing signals, schema drift, undefined semantics… these aren't minor nuisances. They completely derail downstream systems. If you're serious about AI, your priority shouldn’t just be "AI readiness" but also telemetry pipelines that reliably accomplish normalization and real-time structuring at the source. Edge Delta does this without shortcuts. No black boxes and you get to see all your data and which formats it's being sent to best enable AI initiatives. Great #AI starts with great data plumbing.

World’s Largest & Fastest Migration to Teamcenter 13 TB of Data 16+ Million Data Points 400 Threads 100% Accuracy 48 Hours Over 3 Days Panasonic partnered with eQ Technologic to execute the largest and fastest migration to Teamcenter. Seamlessly consolidating geographically dispersed data into a single cloud-based system, this migration sets a new standard in speed, scale, and precision. Discover how eQube®-DaaS Platform transformed this vision into reality: https://lnkd.in/gShg6SrA

World’s Largest & Fastest Migration to Teamcenter 13 TB of Data 16+ Million Data Points 400 Threads 100% Accuracy 48 Hours Over 3 Days Panasonic partnered with eQ Technologic to execute the largest and fastest migration to Teamcenter. Seamlessly consolidating geographically dispersed data into a single cloud-based system, this migration sets a new standard in speed, scale, and precision. Discover how eQube®-DaaS Platform transformed this vision into reality: https://lnkd.in/ghxNpKik

Quanto seu varejo precisa vender a mais? Quanto ele precisa comprar mais barato? Quanto de despesa ele precisa cortar? ➡ E mais do que isso, qual será o resultado dessas ações na sua receita e no seu EBITDA? A imagem mostra, exatamente, a tela de Recuperação de Margem dentro do BI Ellévti. No varejo, aumentar em 1% suas vendas pode ter um grande impacto em seu lucro. Por isso, saber em qual ponteiro mexer para ter, de fato, resultados é essencial. Essa foi apenas uma das telas que mostramos no webinar sobre Inteligência de Dados no Varejo, que fizemos no dia 12/11. Além dela, também nos aprofundamos no "Petscan" do varejo alimentício, telas essenciais para gestores do segmento. Clique e saiba mais: https://lnkd.in/dj7584DP Obs: os dados utilizados na imagem são fictícios, usados para simulação em versão demo da plataforma.

Decisões baseadas em intuição? Está na hora de mudar o jogo! Com informações estratégicas em tempo real e decisões tomadas com precisão, você não apenas navega pelo mercado, você o influencia, dirige e adapta com confiança. O Business Intelligence (BI) não é um luxo , ele é o diferencial competitivo que permite antecipar tendências, resolver desafios imprevistos e maximizar a performance. Fale com nossos especialistas e inicie a revolução da sua gestão com inteligência e precisão.

The recent AWS outage was a stark reminder: total cloud dependency creates a critical single point of failure. When the backbone of the internet goes dark, your users shouldn't lose functionality. Discover why adopting an offline-first strategy isn't just a backup plan—it's the critical choice for building truly resilient, high-performing applications. Stop relying on constant connectivity and start building products that simply work.

Are you building systems for the edge?

Your Lakehouse is doing more than anyone planned for. Bronze, silver, and gold pipelines are multiplying. DBU spend is climbing faster than revenue. Delta Live Tables, Workflows, Structured Streaming jobs, MLflow experiments, and Unity Catalog assets are all producing signals and most observability tools were never built to read them. Before you add another product to the Lakehouse, here is what actually matters. Read Our Blog for more info.

Quantify the real cost of data downtime, manual firefighting, or unreliable pipelines and discover the ROI of an end-to-end self-driving platform that unifies data observability, data quality, and context. Calculate Data ROI Now!

Building with AI agents? Use a database built for that workflow. Dolt brings Git for Data to AI-assisted development, with branching, diffs, version history, and rollback built in. Get started today.

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60% of agentic analytics projects will fail by 2028. Gartner predicts this not because agents can't reach the data, but because they have no shared context for what it means. I feel this one in my own work. Ask an agent to pull Q1 pipeline and it assumes January when our fiscal year starts February 1. Ask about website conversion rate and you'll get sessions-to-form-fills, not the funnel we actually track. ACV, TCV, ARR: three different numbers, three different stories, and an agent with no business context will pick one randomly without flagging it. Those definitions and metrics live in people's heads, in Slack threads, in onboarding docs that are out of date. Your agent can't find them because they work with what's right in front of them. And if they aren't provided context, they just guess, leaving you with answers you can't trust. The whole point of using AI isn't to report numbers, it's to tell you what to do next. And if you can't trust the basics, you're not going to stake a decision on it. The organizations getting it right aren't the ones with the biggest AI budgets. They're the ones who built the foundation first, and a semantic layer is a critical component of that. Dremio was named a Representative Vendor in the 2026 Gartner Market Guide for Agentic Analytics. We wrote up what the recognition means and what it's telling data leaders about where this market is headed. https://bit.ly/4wx4B0g

Fraud ops waiting weeks for data is a liability. See how leading financial firms unify transaction, KYC, and AML data in real time, no ETL required.

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Get Alteryx-level power for $900/yr! Most analysts only use #Alteryx for non-predictive data blending and cleansing. If that’s you, you may be overpaying by thousands of dollars every year. EasyMorph was built for the modern data stack. Exchange your Alteryx license for EasyMorph for free and get: ✅ No Batching: Our engine processes millions of rows at once, making it ultra-fast ✅ Human-Readable Workflows: EasyMorph automatically documents your workflows in plain English ✅ Full Data Clarity: Profile and analyze data instantly at every step of your logic Save up to 85% on licensing costs today. Try it for free!

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