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Most "AI-ready" data just hands your LLM a feed. The Apptopia MCP reads the social sector like an analyst, with traceable answers.

You invest by sector. Now you can buy Apptopia the same way: every metric on META, SNAP, RDDT, PINS, SPCX and TikTok, at full depth.

Learn how to use agents and MCPs to automate daily data engineering workflows. Trace a broken table back to the commit that caused it. Turn a blank SKILL.md into a weekly data quality report in Slack. Then put it on a schedule. That's the Agentic Data Engineering Demo Dive Series: three live sessions of real demos with the Coalesce MCPs, run in an MCP client like Claude Code. Register today to attend the whole series, plus get access to the recordings and practitioner's guide.

Your team is experimenting with AI. But ask the same question twice and you get two answers, the best prompts live in one person's DMs, and nobody has agreed which workflows are safe to run in production. Our free three-part Demo Dive Series shows how to fix that with reproducible skills, scoped permissions, and governed playbooks. For data engineers, analytics engineers, and data and governance leads. Oct. 20, Oct. 29, and Nov. 10.

Une couche sémantique harmonise vos définitions. Mais elle ne dit pas à un agent IA comment interpréter un chiffre dans une situation donnée. C'est le rôle du contexte. Pour un agent IA, cette nuance fait toute la différence entre une bonne décision et une erreur coûteuse. Notre ebook décrypte la différence entre sémantique et contexte, et explique comment construire une couche de contexte vivante et dynamique, grâce à la data marketplace.

Vos experts savent quelles données utiliser, quand, et avec quelles précautions. Vos agents IA, eux, n'ont pas ce contexte. Ce contexte, vos équipes l'ont construit avec l'expérience. Les agents IA, eux, s'appuient uniquement sur les données, sans savoir ce qui les entoure. Découvrez comment capter cette connaissance des usages et la transmettre à vos agents grâce à un Living Context Layer.

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.

Someone in direct selling knows something you don't. What if it changes your next strategic decision? Across global direct-selling markets, competitors are launching products, testing strategies, and making moves. Some of those moves will shape your next opportunity. Others are warnings worth learning from. How much of that intelligence reaches your leadership team? Join us for our upcoming webinar: https://lnkd.in/efj5-bP8

Your competitors are already testing your next strategy for you. The question is, are you learning from their results? A global direct-selling leader uses Comintelli’s Intelligence2day® to track what competitors are doing across international markets from strategic investments and market expansion to leadership changes and failed initiatives. That means its strategy team can ask: Did a competitor already try this? Where did it work? Where did it fail? What warning signals are appearing now? And what does that mean for our next move? In one high-stakes decision, those insights helped mitigate a potential $750M M&A exposure. Turn competitor activity into strategic foresight. Read the case study: https://lnkd.in/estUxP2C

Are your AI agents ready for financial crime investigations? Ex-HSBC leader Michael Shearer weighs in. Read his paper on the pitfalls.

Clean Core says keep SAP lean. Your business teams want more data in it. Every custom interface you build to deliver it adds to your technical debt. dataxess for SAP connects Altares Dun & Bradstreet data via SAP BTP, with no changes to your core and no separate BTP subscription.

Months migrating to S/4HANA. Same old duplicates. A new system won't fix old data. dataxess for SAP creates your Business Partners from verified Altares Dun & Bradstreet data and keeps them up to date.

Most Spark waste isn't simply “hard to fix”. 𝗜𝘁'𝘀 𝗵𝗮𝗿𝗱 𝘁𝗼 𝘀𝗲𝗲. ⠀ The signals that can expose it are often not monitored, and rarely live in one place. ⠀ These native signals – e.g. runtime executor vs machine shape, query-level skewed keys, S3 calls in idle-time, and operator-level input vs output rows – are hard to extract. Some don’t exist natively. Others are gone once the job completes. Most are never collected. ⠀⠀ In our webinar with Data Engineer Things, Ohad Raviv and I walk through the signals that matter at each layer of the Spark stack and how to collect them, sharing specific cases from our own experience. ⠀ Join here - https://lnkd.in/g4_WqcF8

Ransomware attacks are growing in scale and sophistication, and traditional backup systems alone aren't enough anymore. See how Exaba builds resilience directly into the storage architecture, so a breach doesn't have to mean a disaster for you or your clients.

Sovereign storage. MSP economics. No trade-off. 80% margins, under $2/TB, zero hidden fees. Exaba is the world's first LocalScaler™ data storage, built specifically for MSPs, so you can launch a backup solution your customers can actually rely on.

Same company, same data. Paid for once in SAP, and again in your CRM. And every new user adds to the bill. With dataxess for SAP, you pay for data once and reuse it across all your systems, with no per-user fees.

Months migrating to S/4HANA. Same old duplicates. A new system won't fix old data. dataxess for SAP creates your Business Partners from verified Altares Dun & Bradstreet data and keeps them up to date.

What Does Ekai Actually Do? Semantic modeling for enterprise companies in hours, not months. Learn how here: https://lnkd.in/dnsnfn5s/?utm_campaign=Boost_Post_VideoViews_Oct13,2026&utm_source=linkedin&utm_medium=paid&utm_id=1231168966&hsa_acc=556770148&hsa_cam=1231168966&hsa_grp=912363416&hsa_ad=1641641006&hsa_net=linkedin&hsa_ver=3

We’re proud to share that Elastic has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Enterprise AI Search.

7.1x more accurate answers. 86% less compute. That is what changes when an agent runs on a real context layer instead of guessing from raw schema. Those are our own benchmarks, on our own testing, and we will show the setup on the call. The mechanism is not complicated. An agent that can read what a field means, which definition is authoritative, and what it is allowed to see does not have to infer any of it. Inference is where both the errors and the token spend come from. Jessica Talisman and Collate CTO Sriharsha Chintalapani get into how metadata, meaning, and memory produce that, on 14 October. 8am PT, one hour. Register: https://buff.ly/NbN1G6K #ContextLayer #AIAgents #AIforData #OpenMetadata

For our latest episode of Ask the Experts, Collate Founding Account Executive Pierre Jaouën ☁️ talks with Shawn Gordon. They talk about the challenges companies face with directives like GDPR, BCBS, and other requirements in Europe, how they are solving these problems, and how Collate also plays a role in the solution. #OpenMetadata #DataGovernance #DataDiscovery #BCBS #GDPR #Collate #contextinsights #DataEngineering #TechInterview

Boomi was the right call back when you signed. Plenty has changed since then, including the alternatives.

Residential proxy exposure in filtered supply. Location checked against latency. Connection context without identity. Places from public Wi-Fi. Read the findings or talk to our team.

Cookies, mobile ad IDs, and consent-gated identifiers lost ground. The IP address still arrives with every request across web, in-app, and CTV. Read the State of AdTech 2026 findings.