Users of the respective services will tap directly into cloud-based data to enable machine learning and artificial intelligence
Cloud storage specialist Snowflake and analytics provider Tellius are partnering to transform inert data residing in public and private clouds into productive, intelligence-yielding analytics. The two companies will enable users to tap directly into cloud-based data warehouses to power and scale machine learning (ML) and artificial intelligence (AI).
The Lowdown: The integration between the two companies will enable partners and customers to access large stores of cloud-based data for accelerated analytics to feed business intelligence, ML, and AL applications. The intent is to make better use of data stored in cloud-based data warehouses in one or multiple cloud services.
The Details: Other analytics and storage vendors enable access to cloud-based resources for data collection, normalization, and analytics. The difference in the Snowflake and Tellius collaboration is speed. The two companies say users can use their applications at scale without compromising performance.
The Buzz: “With our partners at Snowflake, we are delivering cloud-native data analytics to accelerate business impact from AI and machine learning,” said Ajay Khanna, founder and CEO of Tellius. “Business users and data professionals can now focus on deriving insights across their multiple data sources and enterprise applications and on taking action based on automated recommendations without compromising on analytics performance.”
“Our customers need cutting-edge analytics to get meaningful insights to their critical data questions,” said Hardik Chheda, head of product at Tellius. “With our integration with Snowflake, they can now build modern business intelligence and predictive analytics applications at scale.”