Is your CDP outdated? Syntasa brings the CDP to your data.

Marketers are turning to synthetic data to gain real insights while keeping customer privacy intact. SAS recently acquired the software assets of Hazy, a leading synthetic data company. Their powerful technology will soon be integrated into SAS Data Maker, giving marketers even more tools to enhance their AI strategies. Curious how this all fits together and what it means for your marketing? Check out this blog post to dive deeper. http://2.sas.com/6045AqXpd

How do leading organisations overcome fragmented systems, manual reporting, and compliance pressures? For HGF, one of Europe’s leading intellectual property firms, the answer was a strategic partnership with Simpson Associates to modernise their data estate with Microsoft Fabric and Power BI. The transformation is delivering a centralised, governed platform, real-time dashboards, and automated processes that are helping HGF make faster, more confident decisions. More importantly, it creates a scalable, future-ready foundation designed to evolve with advanced analytics and AI. Read the full story here: https://lnkd.in/ejkYsnW4 #MicrosoftFabric #PowerBI #IntellectualProperty

Modern businesses need real-time analytics, AI integration, and mobile-first BI solutions to stay competitive in today's data-driven environment. The self-service BI market will reach $26.54 billion by 2032, while companies with strong data governance save millions compared to those with poor data quality frameworks. Success requires strategic change management, seamless system integration, and maintaining user adoption rates above 85% to achieve meaningful ROI from BI investments. https://lnkd.in/gx9MFm8c

🔍 From Data to Reliable Insights — The Machine Learning Journey, Simplified with AmatriumGPT Every organization holds a wealth of untapped knowledge in reports, manuals, specs, and emails. All valuable, but buried. #AmatriumGPT gives structure to chaos, using machine learning to turn scattered data into clear, trusted insight. Here’s how our Gen AI platform transforms your content into business intelligence: 1️⃣ DATA — scattered and unstructured across drives, PDFs, and folders. 2️⃣ SORTED — cleaned, connected, and securely indexed by AmatriumGPT. 3️⃣ ORGANIZED — structured and grounded with Retrieval-Augmented Generation (RAG). 4️⃣ VISUALIZED — insights and patterns start to emerge. 5️⃣ EXPLAINED WITH A STORY — reliable, on-brand answers your teams can trust. 💡 Data only becomes powerful when it tells a story. AmatriumGPT turns your content into reliable, actionable insights. 🎥 See how to Capitalize on Corporate Data with AmatriumGPT: 👉 https://lnkd.in/gVt3gNkP #EnterpriseAI #MachineLearning #RAG #AIforBusiness #DataStorytelling #KnowledgeManagement

In GTM Systems you have to trade between visibility and leverage Let’s setup a hypothetical. You’ve got 10k accounts that you need to enrich, score, segment and work. You can do all of this by hand (crazy low leverage), you could deterministic rules, or you could leverage AI/agents (highest leverage) The more leverage you have (10k agents enriching custom data points) the less visibility to have into what happens for each data point And let’s say this (like basically any modern GTM system) is a multi step process, so the visibility only decreases for each new layer How do you increase visibility into high leverage systems? Find your leverage point Add logging at your first and last enrichment points and use an agent to sample + summarize (think of this as an adversarial agent that runs QA) That may not always be the right answer, since really it is dependent on your unique GTM context + constraints. But ID your bottleneck, figure out the right leverage to solve for it and make it as visible as possible with the right tooling in place

Too many data teams are stuck in analysis mode 📊 Forecasting trends ⏳ Spending months wrangling reports 🧠 Trying to make sense of what’s next And marketing’s left waiting for insight that arrives too late. But what if your team could just ask the data a question and actually get a useful answer? We’re helping teams move from: ❌ Guesswork and gut feel ✅ To real-time, data-backed decisions With AI trained on your own data, you can spot demand shifts earlier, adapt faster, and free up your team to do higher-value work. Swipe through to see what this looks like in practice.

Being named a leader (again) in Snowflake’s Modern Marketing Data Stack Report isn’t just about category labels. It’s proof that Sigma’s governed AI and live data workflows are now table stakes for marketing. Give the report a read here: https://lnkd.in/eXpeS27V #MMDS2026Partner

Enterprise AI is here and radically changing the game for marketing leaders. No more waiting for analysts. Natural language is the new interface, putting the power of your data right into your hands to accelerate insights and impact 🦾 Check out the recently released 2026 Modern Marketing Data Stack report and learn how companies are already seeing huge productivity gains with AI agents built on Snowflake. Learn more 👉 https://bit.ly/4nJR2Wc

Being named a leader (again) in Snowflake’s Modern Marketing Data Stack Report isn’t just about category labels. It’s proof that Sigma’s governed AI and live data workflows are now table stakes for marketing. Give the report a read here: https://lnkd.in/gVBFa7RH #MMDS2026Partner

Dashboards, feeds and alerts are killing our focus. I believe AI and the Future of User Interfaces can fix that. Instead of throwing a mountain of information at us and creating analysis paralysis, I think we're looking at an action based future. One card. One action. At a time. Imagine you get to the office and login to your dashboard. Your action plan includes: 1. Signing off on the client deck AI drafted for today’s meeting. 2. Choosing the best follow-up email AI suggests for a key account. If done well then we'll move from a world in which we're drowning in data to executing the right next step. This kind of action-first design will level up the average employee by 10X by helping them focus on the most important thing and improving the quality of their output. I'm curious if anyone has seen this play out effectively in the wild yet?