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Spending hours double-checking every number before a report goes out? Learn to analyze and report with AI on data you can trust, in 30 minutes. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BAgency%255D&utm_source=linkedin&utm_medium=paid&utm_id=731734533&hsa_acc=513446957&hsa_cam=731734533&hsa_grp=361908443&hsa_ad=1584650053&hsa_net=linkedin&hsa_ver=3

Spending hours double-checking every number before a report goes out? Learn to analyze and report with AI on data you can trust, in 30 minutes. Each session in the Databox webinar series walks you through a specific reporting or analysis task with AI Analyst, so you leave with something you can apply that same day. Upcoming live: → Oct 28: How to connect Claude to Databox and create a report in minutes → Nov 10: How to analyze performance across all your client accounts in one conversation Watch on demand: ✓ The Agentic Era: How teams will use data to improve performance in 2027 ✓ Building a Marketing Dashboard in One Conversation ✓ How to Answer Any Performance Question in 5 Minutes with AI Analyst Register once for the whole series: https://lnkd.in/duZ4sxpJ/?utm_campaign=WinboxFullFunnelAds%255BCompanies%255D&utm_source=linkedin&utm_medium=paid&utm_id=731770343&hsa_acc=513446957&hsa_cam=731770343&hsa_grp=361909283&hsa_ad=1584659993&hsa_net=linkedin&hsa_ver=3

Get practical, hands-on experience building your first real-time data pipeline with Apache Kafka and Apache Flink – all fully managed on Confluent Cloud.

We've been developing a new recipe.

Time to get up to speed with Apache Kafka® and Apache Flink®. Join this hands-on deep dive to start working with real-time data and Confluent Cloud.

Prompts → skills → playbooks. That's how data teams move AI from experiments to production. Join our free Agentic Data Engineering Demo Dive Series and walk each step with Coalesce MCPs on live data: → Part 1: Impact analysis and root cause debugging with prompts → Part 2: Build your first data engineering skill → Part 3: Production playbooks and built-in agents Oct. 20 to Nov. 10, 10 a.m. CET. Register once for all three.

Everyone's prompting. Few teams have AI workflows that produce the same answer twice. In this free three-part Demo Dive Series, @Mikkel Dengsøe shows how data teams go from ad hoc prompts to reusable skills to production playbooks with the Coalesce MCPs. The answer isn't less AI. It's structure. Live Oct. 20, Oct. 29, and Nov. 10 at 10 a.m. CET. One registration covers all three sessions, plus the recordings.

You invest by sector. Now you can buy Apptopia the same way: DKNG, FLUT, MGM, PENN, CZR, plus Kalshi, Polymarket, Fanatics and bet365.

Does your betting channel check track reported monthly unique payers? Our research team will backtest our data on your sector.

Pour une IA agentique fiable, la qualité des données ne suffit plus. Elles doivent aussi être porteuses de sens, connectées, à jour et actionnables dans leur contexte. C'est tout l'enjeu du context engineering, qui repose sur trois piliers : la connectivité (MCP, APIs), la valeur métier des data products et une couche de contexte dynamique. Dans cet ebook : → le Living Context Layer, la pièce manquante d'une donnée AI-ready ; → comment la data product marketplace capte les signaux d'usage en temps réel ; → comment Huwise fournit ce contexte à vos agents IA.

“Where did this number come from?" That question ends most agency AI reporting demos. The model got raw tables and nothing else: no client KPIs, no definition of a lead, no note that half the campaigns were paused months ago. So it fills the gaps with answers that leave a lot to be desired, and the analyst on the call has no way to trace them. On October 22, Veronika Tamaio Flores and I are running a free session on the layer between raw data and an answer you can defend. We call it AI Business Context, and most setups skip it. We'll show where AI reporting still breaks for multi-client agencies, and how Coupler.io clients rebuilt theirs so the model works from definitions instead of guesses. When will this go down? Thursday, Oct 22, 2026 | 6:00 PM GMT+2 Register for the free session here: https://lnkd.in/emsCgjdp

Hallucinations, biais, décisions inexactes… Quand un agent IA se trompe, la donnée n'est souvent pas en cause. Il lui manque le contexte pour bien l'interpréter. Mais pas n’importe quel contexte, un Living Context Layer, fondé sur l’usage réel des données. Notre ebook explique comment combler ce déficit de contexte pour réduire les risques et faire enfin passer vos projets IA du pilote à la production.

🏗️ Qui sont les architectes qui pilotent le plus de chantiers en ce moment en Île-de-France ? Notre veille de chantiers de construction a permis d'identifier le Top 20 des architectes franciliens les plus actifs, classés par volume de chantiers en cours.

Rebuilding everything on every run? dbt State detects what changed so only the work that needs rebuilding gets rebuilt. Hear how it works across dbt platform, dbt Core v2, and the Core plugin, then ask the product team anything. Direct answers, no sales pitch.

Rebuilding everything on every run? dbt State detects what changed so only the work that needs rebuilding gets rebuilt. Hear how it works across dbt platform, dbt Core v2, and the Core plugin, then ask the product team anything. Direct answers, no sales pitch.

Your AI model might not be the problem. Your data might be. Before you spend more time tuning models, make sure the data behind them is actually ready for AI. Get the guide and see if your data is AI-ready.

Discover how Activision scaled personalized marketing to millions of players, reduced data team workload, and saved 500+ hours annually with Fivetran.

Personalisation at scale shouldn’t overwhelm your data team. Discover how Activision replaced its CDP, streamlined data operations and saved 500 hours of troubleshooting annually with Fivetran.

A little friendly competition never hurt! Import.io has scored 92/100 on MartechDB’s Agent Readiness Index, just ahead of Bright Data at 91. We’re only just getting started! 🚀 10,000 free successful MCP calls. No sales call. No card upfront. Give it a go: https://mcp.import.io

What could one missed market signal cost your business? For one global direct-selling leader, better competitive intelligence helped mitigate a potential *$750M M&A risk. With Comintelli’s Intelligence2day®, their competitive intelligence team can: 🌎 Monitor competitors across 100+ global markets 🔎 Uncover signals hidden in local and foreign-language sources 📊 Benchmark competitor successesand costly failures 🤖 Use AI to turn massive amounts of information into actionable intelligence 🎯 Give C-suite and board leaders evidence for high-stakes decisions The result? Competitive intelligence that doesn't just report what happened. It helps leadership decide what to do next. See how Intelligence2day® could strengthen decision-making at your organization. Read the case study: https://lnkd.in/estUxP2C

Former HSBC leader Michael Shearer on what AI investigation agents need to work in financial crime. Download his paper on the five pitfalls.

A global direct-selling company uncovered competitor intelligence that helped mitigate a potential $750M M&A exposure. The evidence was out there. The difference was knowing where to look and what it meant. Would your team have caught the warning signs? See what they uncovered: https://lnkd.in/estUxP2C

Exclusive podcast with former HSBC leader Michael Shearer on AI agents for financial crime investigations. Get his new paper on the pitfalls now.

Everyone wants AI in SAP. But what data will it rely on? AI doesn't guess that an address is outdated. It uses it. dataxess for SAP makes your Business Partner data reliable with Altares Dun & Bradstreet data and keeps it up to date. Your AI projects start on solid ground.