Updated July 14, 2025
Future-Proofing Enterprise AI: Why AtScale’s MCP Integration Is a Game-Changer for the Semantic LayerAt AtScale, we’ve always believed that the semantic layer is the cornerstone of enterprise data strategy. It brings consistency, governance, and business context to analytics. But as generative AI enters the enterprise at full speed, the stakes and the opportunities…
Updated July 10, 2025
Unlocking Agile Analytics with Composable Semantic Models from AtScaleIn today's fast-paced world, companies must utilize data to make informed decisions. However, with so much data coming from various sources, company records, sales systems, cloud storage, and live data feeds, it's challenging to maintain everything in a neat, consistent,…
Updated June 26, 2025
Why Enterprise AI Agents Need a Semantic Layer: A Reflection on Where the Industry Is Headed and How AtScale Has Been Leading All AlongIf it feels like everyone is suddenly talking about agentic AI, you're not wrong. In just the past few months, some of the biggest names in data have signaled a shift in how we think about analytics, automation, and intelligence:…
Updated June 19, 2025
How to Stop Metric Sprawl Across Power BI, Tableau, and Excel with SnowflakeIn a multi-tool analytics world, one of the most persistent challenges facing data-driven organizations is metric sprawl. When business teams use different BI tools each with their own logic and metrics, the result is conflicting numbers, duplicated effort, and a…
Updated June 12, 2025
What I Learned at Snowflake Summit 2025: AI Momentum, Cortex Insights, and the Truth About Semantic ViewsI’ve been attending Snowflake Summits for years, and this year’s event was the most forward-looking I’ve seen. If you’re building for the future of data and AI, the 2025 Snowflake Summit felt like a line in the sand. AI is…
Updated June 5, 2025
Implementing a Centralized Semantic Layer for Power BI and Tableau in SnowflakeOrganizations today rely on both Power BI and Tableau to unlock insights from their Snowflake data. But without a centralized approach, things get messy—definitions drift, performance suffers, and costs climb. Despite significant investments in cloud data platforms, data teams still…
Updated June 3, 2025
AtScale 2025 Product Announcements: A Smarter, Faster, More Open Semantic LayerThe 2025 Semantic Layer Summit was more than a virtual event—it was a product showcase for the future of semantic modeling. AtScale unveiled its most significant updates yet, delivering innovations that make the semantic layer smarter, more interoperable, and GenAI-ready.…
Updated May 28, 2025
The 2025 Semantic Layer Summit: Why the Future of Analytics Starts with SemanticsEvery year, the Semantic Layer Summit gets a little bigger, bolder, and much more urgent. And 2025 was no exception. As enterprises push the limits of AI, demand trustworthy analytics, and struggle with ballooning data complexity, the industry is waking…
Updated May 27, 2025
Why Is Power BI Slow with Snowflake? How to Fix Common Performance ProblemsIf your Power BI dashboards feel more like a waiting game than a real-time tool, you're not alone. Many teams struggle with sluggish performance when connecting Power BI to Snowflake. Dashboards that should load in seconds often take minutes. The…
Updated May 22, 2025
Building Enterprise-Grade GenAI Applications: Key Takeaways from Our Expert PanelAs organizations accelerate their adoption of generative AI (GenAI), one thing has become clear: enterprise-grade AI isn’t just about plugging in a foundation model and hoping for magic. It’s about building intelligent systems that are secure, scalable, explainable, and tightly…
