Confluent, Inc., the data streaming pioneer, and Databricks, the Data and AI company, announced a major expansion in their partnership that brings together Confluent’s complete Data Streaming Platform and Databricks’ Data Intelligence Platform to empower enterprises with real-time data for AI-driven decision-making. New integrations between Confluent’s Tableflow and Databricks Unity Catalog will seamlessly govern data across operational and analytical systems, allowing businesses to build AI applications more efficiently.
Addressing the AI Data Challenge
Enterprises are rapidly building AI applications that require reliable, real-time data for better decisions and customer experiences. Yet, only 22 percent of enterprises are confident their current IT infrastructure is able to support these new AI applications. One of the major remaining hurdles they need to overcome is the divide between operational systems where data is generated and analytical systems where that data is turned into insights. Because these tools exist in separate silos, different teams, tools, and processes are applied between the two. The result is that teams are unable to marry real-time data with other systems in a meaningful way, and AI innovation on advanced use cases becomes impossible.
“For companies to maximize returns on their AI investments, they need their data, AI, analytics and governance all in one place,” said Ali Ghodsi, co-founder and CEO, Databricks. “As we help more organizations build data intelligence, trusted enterprise data sits at the center. We are excited that Confluent has embraced Unity Catalog and Delta Lake as its open governance and storage solutions of choice, and we look forward to working together to deliver long-term value for our customers.”
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“Real-time data is the fuel for AI,” said Jay Kreps, co-founder and CEO, Confluent. “But too often, enterprises are held back by disconnected systems that fail to deliver the data they need, in the format they need, at the moment they need it. Together with Databricks, we’re ensuring businesses can harness the power of real-time data to build sophisticated AI-driven applications for their most critical use cases.”
SOURCE: BusinessWire