Strategy

🌟 There's only 1 week before Mini World Public Sector! Public sector organizations are being asked to move faster with AI while balancing tighter budgets, growing mission demands, and increasing pressure to deliver measurable outcomes. We're bringing together leaders across Federal, Defense, State & Local, and Higher Ed for an afternoon of real conversations about AI-ready infrastructure, governance, semantic layers, and mission-driven analytics. Featuring live demos and roadmap discussions with Strategy engineering, don't miss this event in Reston, VA on May 28th from 12:00 - 5:30 PM! Register now: https://ow.ly/wisn50YZJOK #AIGovernance #EnterpriseAI #MiniWorldPublicSector #SemanticLayer #PublicSector

From semantic consistency to dashboard-driven workflows, our May 2026 release is focused on making governed analytics more connected, compliant, and actionable! This month’s highlights include: ✅ Databricks Unity Catalog metadata imported directly into Strategy Mosaic ✅ GDPR-aligned telemetry anonymization built into the platform ✅ SQL transaction forms in Library Web dashboards ✅ Customizable global legends for cleaner, more usable dashboards Read the full release breakdown here: https://lnkd.in/ecGxYvb4 #DataGovernance #AI #SemanticLayer #BusinessIntelligence #DataManagement

AI is only as reliable as the data and business logic behind it. Join us at Mosaic Summit Amsterdam 2026 to discover how Strategy’s Universal Semantic & Intelligence Layer helps organizations create trusted, governed and reusable business logic across BI and AI. Hear from Strategy leadership, customers and industry experts including Saurabh Abhyankar, VP & Chief Product Officer at Strategy as our keynote on how to:  ✔ Scale AI with trust and transparency  ✔ Reduce governance complexity  ✔ Eliminate duplicated semantic layers  ✔ Improve consistency across analytics and AI applications Don't miss us on June 18th at The Hoxton, Amsterdam! Register now: https://ow.ly/prn550Z2e9I #DataAnalytics #BusinessIntelligence #EnterpriseAI #DataGovernance #SemanticLayer

AI is forcing enterprises to rethink what data governance actually means. Traditional governance was designed for oversight and compliance. But in an AI-driven environment, that’s no longer enough. AI systems need governed business context they can consistently understand, apply, and scale. Join us on May 21 (EMEA) / May 26 (North America) for a live webinar featuring Charlotte Ledoux and HF Chadeisson as they discuss: 🔹 Why governance models built for reporting struggle with AI workflows 🔹 How semantic layers create consistent, reusable business logic 🔹 What organizations need to support trusted, scalable agentic AI 🔹 How to bridge governance, analytics, and AI execution If your teams are navigating inconsistent KPIs, disconnected definitions, or growing AI complexity, this session is for you. Register here: https://ow.ly/AAYj50YZIGL #DataGovernance #EnterpriseAI #SemanticLayer #BusinessIntelligence #AI

AI agents are only as good as the context they can access. That’s why so many enterprise AI initiatives struggle at the last mile with hallucinations, inconsistent answers, governance risks, and rising infrastructure costs often stem from one core issue: the Context Gap. Our latest demo explores how MCP standardizes agent access to context while Strategy Mosaic delivers fast, reliable analytics across 200+ data sources, enforcing governance and security by default. Explore the demo and download the whitepaper to see what production-grade AI infrastructure actually looks like: https://ow.ly/9qvV50Z1MZu #EnterpriseAI #ArtificialIntelligence #DataGovernance #SemanticLayer #AIInfrastructure

🚀 Stop building dashboards. Start designing experiences. What separates a good analyst from a great one? Knowing how to guide people through data instead of just showing it to them. In our "Creating a Guided Analytical Experience" workshop, you'll master the art of building dashboards that practically tell a story: ✨ Design workflows that surface insights (not bury them) ✨ Harness filters, panels & info windows like a pro ✨ Build responsive dashboards that look stunning on any device ✨ Use chapter filters & dynamic filtering to wow your stakeholders You can choose between having the workshop live and instructor-Led or learn on-demand at your own pace. 💸 And here's the best part… it's FREE with the 90-Day Trial Pass and also included with the Education Pass.! 👉 Enroll now and level up your Strategy skills: https://ow.ly/6oyY50Z1Lfc #DataAnalytics #BusinessIntelligence #DashboardDesign #DataVisualization #FreeTraining

AI is exposing a major gap in modern data governance. Most governance programs were built to document and control data. But AI needs usable, consistent business logic. That’s where the semantic layer changes everything. Join our upcoming webinar on May 21 (EMEA) / May 26 (North America) to learn how forward-thinking teams are evolving governance to actually work at scale with AI 👇 In this live session, Charlotte Ledoux and HF Chadeisson will break down: → Why compliance-first governance fails when AI becomes a data consumer → How the semantic layer defines metrics once and scales them across dashboards, APIs, and AI → Where governance is heading in an agentic AI world If your organization is still relying on fragmented definitions, register now and rethink governance for the intelligence era: https://ow.ly/LPvf50YZIpb #DataGovernance #SemanticLayer #AI #DataStrategy #BusinessIntelligence

The pressure on financial services teams is accelerating and legacy data stacks aren’t keeping up. Join us on May 19th or 20th for a live webinar led by Vasant Paranjpe and Hassan Aziz, MBE, CPA on how financial organizations are modernizing their data strategy to bridge the gap between legacy infrastructure and AI-ready intelligence without compromising security, governance, or control. Register now: https://ow.ly/juKw50YYkXh #FinancialServices #AI #DataGovernance #BusinessIntelligence #DataStrategy

The better the AI experience feels, the more the business has to trust the context behind it. Here are the 5 most important questions enterprise teams need to ask before trusting a semantic layer: 1. Can it move across clouds without rebuilding metric definitions? 2. Can it apply the same governance policies across BI tools, AI agents, and applications? 3. Has it supported AI agents in real enterprise production, not just demos? 4. Can teams observe who or what queried which metric and spot risk in real time? 5. Does it align with open standards so agents and systems can work from the same governed context? AI agents need consistent definitions, governed access, production-ready context, and a clear view into how answers are produced. The more AI becomes part of everyday workflows, the more the semantic layer has to carry trusted business meaning underneath. Check out more about what production-ready semantic layers will require for enterprise AI in 2026 here: https://lnkd.in/dkE79q-A

AI adoption is accelerating. So are the infrastructure bills. The problem usually isn’t the model. It’s the architecture underneath it. In a recent blog post, we explore why enterprises are overspending on AI and how inefficient infrastructure quietly destroys ROI long before organizations realize it. From a projected $60K/month AI deployment down to $6K/month, this piece breaks down the operational questions organizations should be asking before scaling AI: → Does the refresh frequency actually match decision cadence? → Where is a frontier model unnecessary? → Are inconsistent definitions creating hidden validation costs? → Is governance built into the data layer itself? The takeaway: more AI isn’t the answer. Efficient AI is. Read the full blog here: https://ow.ly/kbkv50YZJIV #EnterpriseAI #DataGovernance #SemanticLayer #AIInfrastructure #BusinessIntelligence