Introduction
AtScale, a pioneer in semantic layer technology, has announced the private preview of its new Natural Language Query (NQL) capabilities. This innovative feature enables business users to extract insights from data simply by asking questions in plain English, eliminating the need for complex data engineering, data science, or SQL commands. By leveraging AtScale’s Semantic Layer and Generative AI, users can access data from BI reports or custom queries, offering seamless interaction with all data modeled in AtScale.
Simplifying Data Access with Natural Language Query
AtScale’s NQL feature empowers users to interact with data intuitively, bypassing traditional data querying methods. By integrating natural language understanding with complex data queries, AtScale’s technology allows users to pose questions in everyday language and receive instant insights. This approach dramatically simplifies how business users interact with their data, enhancing both accessibility and efficiency.
Achieving High Accuracy in Natural Language Querying
Building on its proven success, AtScale has achieved a 92.5% accuracy rate in Text-to-SQL tasks, as demonstrated in the recent TPC-DS Benchmark. The new NQL capabilities are now available in private preview, providing select enterprises with the opportunity to experience this advanced functionality. By bridging natural language processing with data queries, AtScale aims to help organizations manage large data volumes more efficiently and deliver faster, more accurate insights.
Integration of Generative AI and Semantic Layer
At the core of AtScale’s NQL is the integration of Generative AI with its Semantic Layer. This combination provides essential business context and metadata, enabling a semantic understanding of user questions. Unique functions within AtScale’s semantic markup language and engine enhance accuracy by simplifying SQL requirements from Large Language Models (LLMs) and translating simple SQL commands into the complex SQL statements needed for real-world database schemas.
Benefits of Autonomic Data Engineering and Query Acceleration
AtScale’s NQL offers numerous advantages, including autonomic data engineering, query acceleration, and cost reduction. By streamlining traditional, labor-intensive data engineering methods, this new feature accelerates decision-making processes, empowering business users to access insights directly without technical barriers.
Customer Insights and Vision
“The private preview of our Natural Language Query capabilities marks a significant advancement in how businesses interact with their data,” said John Langton, VP of Engineering at AtScale. “By combining LLMs with our Semantic Layer, we achieve unparalleled accuracy in NQL capabilities, and we look forward to seeing our customers unlock new levels of data-driven decision-making.”
How to Participate in the Private Preview
Enterprises interested in exploring the NQL capabilities can participate in the private preview by contacting their AtScale representative. A 14-day free trial is also available for businesses eager to experience the next generation of natural language data querying.
Conclusion
AtScale’s new Natural Language Query capabilities represent a significant leap forward in how organizations can interact with their data. By simplifying the data access process and integrating cutting-edge AI technologies, AtScale is setting a new standard in business intelligence and analytics, driving faster, more informed decision-making for enterprises worldwide.