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Press Release

Kyvos Insights to Showcase its BI Acceleration Platform at Data + AI Summit 2022

Los Gatos, June 23, 2022 – Kyvos, a leading cloud analytics company, announced today its participation as a silver sponsor at the DATA + AI Summit 2022

The company will present live demonstrations of its cloud BI acceleration platform at the conference. The combined power of Kyvos and Databricks helps enterprises build a self-service analytical environment on the cloud where business users, analysts, and data scientists can work with extremely large datasets using any BI or data science tool. The duo delivers exceptionally high BI performance while optimizing compute costs on the cloud.

“We are delighted to be a part of the world’s largest data and AI conference. Our team is taking this opportunity to showcase how businesses can analyze data at any scale using Kyvos and Databricks without compromising performance”, said Ajay Anand, Chief Product Officer at Kyvos Insights. “Leveraging Databricks’ powerful compute engine and our next-gen OLAP technology, we enable businesses to scale their analytics to enterprise-wide use cases and democratize data access in the most cost-effective way. This can be transformational for enterprises who want to optimize their cloud spend while eliminating latency issues associated with growing data volumes.”

In this cloud era, where performance at high scale and ease-of-use is imperative, Kyvos is designed to transform how data is aggregated, optimally stored, and queried for sub-second results. In addition, it builds a universal semantic layer on the cloud that helps enterprises simplify and scale their BI and data science programs.

To learn more about Kyvos, meet their team at Data + AI Summit 2022 next week.

About Kyvos Insights

Kyvos is a modern, cloud-native analytics acceleration platform that enables sub-second querying on massive datasets. The platform’s universal semantic layer democratizes data across the enterprise through self-serve analytics. You can instantly analyze data at any scale irrespective of the analytics tool or underlying cloud platform. For more information, visit us at or connect with us on Twitter and LinkedIn.

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