Anthropic Claude 3.7 Sonnet is now available within Databricks on AWS, Azure, and GCP, allowing users to access its advanced reasoning and planning features securely. This cutting-edge AI model excels in tasks like multi-step reasoning, making it ideal for creating specialized AI agents that leverage unique enterprise data. With built-in governance and monitoring through Mosaic ...
This article explains how to build a multi-agent system using the Mosaic AI Agent Framework and Genie spaces from Databricks. It highlights the advantages of Genie agents, which allow users to engage with structured data through natural language queries, offering more flexibility than traditional SQL tools. The system can combine Genie agents with other agents ...
Databricks has launched important updates to its Mosaic AI Gateway, Unity Catalog tools, and AI/BI Genie, making it easier for organizations to develop reliable AI agents with strong governance and data integration. These updates address significant security and performance challenges by ensuring that AI agents, like those summarizing customer complaints, operate smoothly without risking sensitive ...
In a rapidly evolving AI landscape, Snowflake is planning to partner with SAP, joining Databricks, which recently announced its collaboration with the tech giant. This trend of forming multiple partnerships is becoming vital as enterprises look to harness AI-driven opportunities, relying heavily on quality data. SAP’s Business Data Cloud plays a key role in this, ...
As SAP hosts an exciting data-cloud event with Databricks, competitor Snowflake plans to join the action by forming its own partnership with SAP. This trend, which some may find surprising, is crucial in the competitive landscape of cloud services, especially as companies increasingly rely on AI. With SAP’s treasure trove of valuable data, the collaboration ...
Personalized AI agents are transforming how organizations manage their data within Databricks Lakehouse, a platform that merges the strengths of data lakes and warehouses. These intelligent tools automate and personalize data interactions, enhancing efficiency by simplifying complex tasks. Unlike traditional methods that rely heavily on human oversight, AI agents streamline processes such as data integration, ...
In a recent discussion, Ron Gabrisko, the Chief Revenue Officer of Databricks, shares insights on scaling a tech company’s revenue from $1 million to an impressive $3 billion in annual recurring revenue. This talk is part of a broader conversation about growth strategies and the challenges tech companies face. Alongside Gabrisko’s insights, the platform features ...
Databricks and Confluent are teaming up to tackle the challenges of managing scattered enterprise data. This partnership aims to simplify access to real-time streaming data, making it easier for businesses to develop AI models and applications. With Databricks’ data lakehouse expertise and Confluent’s real-time streaming technology, they offer a seamless integration that enables continuous learning ...
Databricks and Confluent have expanded their partnership to simplify access to real-time data for AI applications. This integration allows businesses to connect operational and analytical systems, overcoming the challenges posed by scattered enterprise data. With Confluent’s streaming capabilities and Databricks’ tools for AI and analytics, companies can now build smarter AI models with continuously updated ...
Data quality benchmarking is a crucial process that helps organizations assess and improve the accuracy and integrity of their data. It involves measuring an organization’s data against established standards to identify areas needing enhancement. Key concepts include data profiling, which analyzes data patterns and anomalies, and data cleansing, which removes errors and duplicates. Traditional methods ...
