AI can’t reason without context. Learn how a universal semantic layer provides the governed foundation AI models need for accurate, consistent insights—highlighted in the 2025 GigaOm Radar Report recognizing AtScale as a Leader and Fast Mover.| AtScale
... Read more » The post Why GigaOm Recognized Universal Semantic Modeling as the Future of AI Analytics appeared first on AtScale.| AtScale
Today’s organizations are flooded with opportunities to apply AI and advanced data experiences, but many struggle with where to focus first. Leaders are asking questions like: “Which AI use cases will bring the most value? How can we connect siloed … Continue reading The post Semantic Layer Strategy: The Core Components You Need for Successfully Implementing a Semantic Layer appeared first on Enterprise Knowledge.| Enterprise Knowledge
... Read more » The post Scaling AI Without Breaking the Bank: Why Semantic Layers Drive Performance and Cost Efficiency appeared first on AtScale.| AtScale
... Read more » The post Scaling Semantic Models Across Multiple BI Tools: The Enterprise Approach appeared first on AtScale.| AtScale
... Read more » The post From Models to Meaning: Why Semantic Layers Are the Foundation of Enterprise GenAI Success appeared first on AtScale.| AtScale
... Read more » The post Composable Models: Why Composability is the Future of the Semantic Layer appeared first on AtScale.| AtScale
... Read more » The post The CFO’s Guide to Data Modernization: Cost Control in the Cloud Era appeared first on AtScale.| AtScale
Most semantic layers aren't built for Agentic AI success. Learn the 3 readiness stages, assess your current capabilities, and discover why 60% of dashboards will be replaced by GenAI by 2028. Get the enterprise action plan.| AtScale
Discover why natural language query (NLQ) fails without semantic context and how AtScale’s semantic layer delivers accurate, consistent, and governed conversational analytics across BI and AI platforms.| AtScale
In this blog post, EK explores the foundational elements required to building a Semantic Layer Shopping Mall.| Enterprise Knowledge
Learn how to connect Excel to Snowflake securely and at scale. This guide explores how AtScale’s semantic layer enables fast, consistent, and governed access to data.| AtScale
A semantic layer is a translation layer that sits between your data and your business users, converting complex data into understandable business concepts. Let's discover its history, trends, and if it's here to stay.| Data Engineering Blog
At the Knowledge Summit Dublin, Lulit Tesfaye and Jess DeMay presented “The Evolution of Knowledge Management (KM) & Organizational Roles: Integrating KM, Data Management, and Enterprise AI through a Semantic Layer.”| Enterprise Knowledge
Solve retail Week 53 calendar challenges with AtScale's tool-agnostic semantic layer approach. Eliminate complex DAX code and ensure consistent YOY comparisons across Power BI, Tableau, and Excel.| AtScale
Discover the top 5 considerations for selecting a semantic layer that unifies data, improves performance, and supports AI-driven analytics.| AtScale
We are excited to announce an integration between AtScale and Snowflake Cortex Analyst, enabling business users to query data using natural language.| AtScale
Secure and streamline access with unified entitlements, reducing risks and automating permissions across your organization.| Enterprise Knowledge
Explore the business value of a semantic layer, benefits, and key use cases. Learn how it enhances organizations' data access, analytics, and decision-making.| AtScale
Learn how implementing a semantic layer improves data governance by ensuring accuracy, consistency, and easier access to reliable data insights.| AtScale
Discover 5 common data challenges organizations face without a semantic layer and how implementing such a layer can effectively address these issues.| AtScale
Optimize your data models with AtScale's modern approach. Learn how to maintain a single source of truth while enhancing Power BI's capabilities.| AtScale
As organizations continue to navigate the complexities of modern data environments, Dremio’s self-service capabilities offer a clear path forward, allowing businesses to unlock the full value of their data assets while maintaining control and governance. With Dremio, the future of self-service analytics is not just achievable—it’s within reach.| Dremio
Read this post to learn six key ways to use the power of AI to evolve metric stores into intelligent and adaptive forces.| AtScale
This is the fourth post in a blog series showing how AtScale empowers Excel users to conduct data analyses, focusing on categorical analysis.| AtScale
This is the third in a blog series showing how AtScale empowers Excel users to conduct data analyses, focusing on distribution analysis.| AtScale
This is the second in a blog series showing how AtScale empowers Excel users to conduct data analyses, focusing on time series analysis.| AtScale
This is the first in a series of blog posts that shows how AtScale empowers Microsoft Excel users to conduct powerful data analyses.| AtScale
