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I was pleased to be invited for an interview to discuss how Dairy Data Warehouse (DDW) is helping shape the future of dairy farming through data and AI. At DDW, we believe that better connected data can support smarter decisions, stronger farm performance, and more sustainable dairy operations. Thank you to Alberta Farmer Express and Farmtario for sharing the article. https://lnkd.in/gGCviiDV

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.

Your AI isn't failing. Your data is. Stop chasing the next AI breakthrough while ignoring the foundation. Every inaccurate dataset, broken pipeline, and unchecked transformation becomes an AI problem tomorrow. AI doesn't create trust—it exposes the lack of it. No trusted data. No trusted AI. Make your data AI-ready before asking AI to make business-critical decisions.

Je AI-plannen staan in de steigers. Maar is je data er klaar voor? Zonder betrouwbare en goed georganiseerde data blijven resultaten vaak achter bij de verwachtingen. Bespreek met een van onze dataspecialisten waar jouw organisatie staat, welke obstakels er zijn en wat er nodig is om AI betrouwbaar en zinvol in te zetten.

Choose the courts, case types, data fields, collection frequency, and delivery method that matter to your project. Datamam engineers the docket data infrastructure around those exact requirements.

Wat kan BI met jouw eigen data? Binnen 72 uur bouwen we een werkend dashboard met jouw data en KPI's. Daarna test je het twee weken in de praktijk en ervaar je zelf wat betrouwbare, actuele stuurinformatie oplevert. Seeing-is-Believing.

Track property pricing across the markets that matter to your business. Compare locations, property types, availability, price history, and other market signals in one structured dataset.

Sessions give you the highlights. Dinner gives you the deep dive. On Monday, September 28, we're hosting a small dinner for people working on master data. No pitches, no panels. Just brisket and the questions nobody asks at a microphone. Julio Hallo, Juan Manuel Moncaleano, Daniela Reyes and Daniel Winstead will be at the table. The guest list is curated and closes September 25.

Connect has three days of sessions. We're keeping ours simple: two dates. Monday the 28th, we open the week with a private dinner. Small table, good barbecue, real conversations about master data. Wednesday the 30th, Kimberly-Clark takes the stage with Daniela Reyes and Daniel Winstead. We worked with their team for 24 months. You'll want to hear how it went. Dinner is invite-only and we confirm guests until September 25. Request your seat through the link in the comments.

Har du et mål for 2027, om at I skal reducere arbejdsbyrden, forenkle manuelle processer og skære ned på fejl i din virksomheds rapportering? 🚀 Vi har samlet, hvordan du kommer alt dette til livs og mere i en ny, letforståelig e-bog. Find ud af, hvordan du med BI kan opnå en automatiseret, data-drevet rapportering, der ikke bare forbedrer effektiviteten, men også understøtter bedre og faktabaseret beslutningstagning på alle niveauer i din virksomhed.🤩 Hent e-bogen her.📘

Som CFO kender du nok alt til arbejdsbyrden forbundet med at lave manuelle månedsrapporter - En tilbagevendende arbejdsbyrde som er statisk og ressourcekrævende.😵 Det tager flere timer at lave disse rapporter - for ikke at tale om den fejlmargin, der er ved manuel rapportering. Vi ved, det er et kæmpe irritationsmoment, når data er svært tilgængeligt på tværs af en virksomhed. Løsningen er ikke raketvidenskab.🙌 Jeg har lavet en kort guide om, hvordan du nemt kan automatisere rapportering på tværs af virksomheden. Download den her - kvit og frit. 📩

Your data belongs in 𝗬𝗢𝗨𝗥 cloud, not theirs. With continuous replication, deep relationship restores, and full historical tracking, GRAX empowers organizations to protect, archive, and leverage their Salesforce data with confidence. Download the full comparison sheet 👇

🤔 Did you know? 𝗢𝘄𝗻 𝗳𝗿𝗼𝗺 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 stores your Salesforce data in their own multi-tenant environment. Now that Salesforce owns Own, the same company controls both your CRM and your backup. In other words, you don’t control the keys, the policies, or the residency. See why that matters, now more than ever 👇

AI idea generator and brainstorming tools: which one fits your workflow? ✦ Not every AI brainstorming tool is built for the same kind of idea generation. If you’re looking for an AI idea generator for content and strategy, ChatGPT can help explore concepts and messaging. For visual ideation, the Depositphotos AI Assistant combines conversational brainstorming, stock content, and AI image generation in one workflow. Other AI brainstorming tools are designed around specific needs: Gamma for presentations, Miro AI for collaborative mind mapping, Notion AI for content planning, and FigJam AI for UX and design sprints. So the right idea generation software depends less on the tool itself and more on what you need to create — copy, visuals, presentations, workflows, or ideas with your team. That’s where AI for brainstorming becomes genuinely useful: choosing a tool that fits the way you already work.

How much training data does an AI model actually need? 🤔 There’s no single number. How much data is needed for machine learning depends on the task, model complexity, data quality, and whether you’re training from scratch or fine-tuning a pre-trained model. As a starting point, the machine learning dataset size can range from hundreds of samples for simpler tasks to thousands or millions of images for computer vision. Training an LLM from scratch is a completely different scale, requiring billions to trillions of tokens. The good news? You don’t always need a massive dataset. For many AI applications, a smaller collection of carefully curated, representative data can be more useful than a much larger unvalidated dataset. We break down how much data for machine learning different AI applications need, what affects dataset size, and how to estimate your requirements before you start collecting data.

Bad respondents are getting harder to catch, putting data quality at risk. Harmon Research’s DataDefense catches problems early using behavioral signals, device checks, response quality, and expert human review so you can trust your data and make better decisions.

Keeping retail data feeds reliable takes ongoing engineering. We manage extraction, monitoring, quality checks and scheduled delivery for recurring enterprise projects. Share your requirements for a scoped feasibility assessment.

Need daily competitor prices, stock and promotions across your priority retailers? We build, monitor and maintain the feeds, then deliver quality-checked data into your warehouse. Tell us your sources, scale and timing for a feasibility assessment.

Chcete v Power BI nejen sledovat reporty, ale rovnou nad daty plánovat, zapisovat změny zpět a ptát se AI na to, co vás právě zajímá? 📊 Získejte přístup k záznamu webináře a zjistěte, jak propojit Power BI, Microsoft Fabric, Copilot a write-back scénáře do jednoho praktického řešení pro práci s daty přímo v reportu. Na co se můžete těšit? ✅ jak umožnit business uživatelům komentovat, upravovat a zapisovat data zpět bez opuštění reportu ✅ jak využít Fabric Data Agenty s Copilotem pro přirozené dotazování nad daty ✅ jak může vypadat kapacitní plánování od analýzy dat po interaktivní plánování Klikněte a zjistěte, jak může Power BI podpořit plánování, rozhodování i práci s daty ve vašem byznysu.

Stop piecing together scattered stories about China’s commercial jet engines. This free 7‑page briefing uses linked research, patent, and procurement datasets to show how the CJ‑1000A compares to LEAP‑1C, which institutions lead CMC R&D, and why 2022 procurement spikes matter. Download the full report to ground your assessments in verifiable data.

If your work touches export control, defence, or supply chain risk, you need to see how close China really is to fielding its CJ‑1000A. This free report details heat‑resistance challenges, CMC production hurdles, and AECC’s growing contract portfolio, backed by 20 years of project and funding data. Download the full PDF to inform your next briefing or risk review.

We're excited to welcome Socco Duvall to the Grist Mill team as Director of Data Solutions. In this role, Socco will be leading efforts to design and integrate frontier commercial data infrastructure that helps ensure successful operational outcomes with our mission partners. Socco brings a broad national security background, data fusion expertise, and commercial data experience to help accelerate the delivery of decision-ready authoritative global content. Grist Mill is partnering with government teams to discover, acquire, and operationalize commercial data without rebuilding the underlying infrastructure every time platforms, integrators, or contracts change. “I’m honored to join the Grist Mill team and excited to participate in the transformation of how the United States and our allies anticipate and prepare for emerging security challenges,” said Socco.

Eine Studie mit strategischen Erkenntnissen und konkreten Handlungsempfehlungen für Unternehmenslenker, CISOs und Infrastruktur-Verantwortliche. Wo steht Ihre Organisation im Vergleich zu 202 Peers?

Eine Studie mit strategischen Erkenntnissen und konkreten Handlungsempfehlungen für Unternehmenslenker, CISOs und Infrastruktur-Verantwortliche. Die meisten Unternehmen halten NIS2 für notwendig – bei der Umsetzung klaffen aber deutliche Lücken. Peer-Benchmark aus 202 Organisationen plus 7 priorisierte Maßnahmen für Ihr Board und CISO-Office.