EnterpriseDB (EDB) introduced converged analytics capabilities for its managed EDB Postgres AI database service, aiming to support AI agents by unifying transactional and analytical processing on Post…
Komprise launched Transparent File Tables (TFT) to index and expose petabytes of unstructured enterprise data to lakehouses like Databricks and Snowflake via Apache Iceberg, enabling AI and analytics …
Agentic AI systems autonomously plan, execute, and adapt multi-step workflows to achieve specific goals with minimal human intervention, distinguishing them from traditional AI models that respond to …
A Databricks report based on 20,000 organizations reveals that AI business value clusters around specific use cases, with customer service and forecasting leading adoption. Companies succeed by priori…
Retrieval Augmented Generation (RAG) is an AI architecture that connects large language models to external knowledge sources at inference time, enabling accurate, context-aware responses beyond static…
Vector search is a technique that retrieves results based on semantic meaning rather than exact keyword matches, using embeddings to compare concepts across text, images, and audio. It powers modern A…
A new practical guide compares data lake and cloud data warehouse architectures for data scientists, outlining key differences in storage, cost, governance, and ML performance. The guide recommends da…
Snowflake launched an Online Feature Store powered by Snowflake Postgres, enabling ML teams to serve low-latency features directly from Postgres without a middle layer. In benchmarks, Snowflake Postgr…
AI companies selling inference must choose between cost-plus and value-based pricing to maintain margins. Cost-plus caps margins as inference commoditizes, while value-based pricing decouples revenue …
ARK Invest CEO Cathie Wood purchased 223,690 shares of Snowflake worth $52.45 million and $22 million in Tesla on June 18, signaling a capital rotation toward AI-adjacent growth stocks. The firm also …
Exa launched Exa Agent on June 16, transforming its AI-native search API into a research agent endpoint for developers. The product automates structured web research tasks like deep research and entit…
Google, Microsoft, and Salesforce are backing a new open standard called Agentic Resource Discovery (ARD) to standardize how AI agents find and use enterprise tools, countering approaches by OpenAI an…
Elon Musk's xAI made Grok models available inside Databricks Agent Bricks on June 18, a distribution deal that places Grok as a native model choice for enterprise developers building AI agents on Data…
Elon Musk predicted that fully AI-generated movies will be possible by the end of 2026, following xAI's release of Grok Imagine Video 1.5 and an Imagine API for video generation. The claim aligns with…
Databricks' Genie Ontology shifts enterprise AI focus from models to governed context layers, with human-defined semantics and machine-learned graphs compounding over time. The ontology, called the 's…
Databricks launched CustomerLake on June 16, 2026 at its Data + AI Summit, an agentic Customer Data Platform natively embedded in its lakehouse that eliminates the need to copy customer data into a se…
Databricks is raising another massive round of private capital instead of going public, targeting a valuation between $165 billion and $175 billion. CEO Ali Ghodsi called 2026 a 'terrible year to go p…
Databricks, the $134 billion data-and-AI company, is acquiring cybersecurity startup Panther Labs to challenge Splunk and CrowdStrike in the AI-powered security market. The deal aims to help enterpris…
Databricks' $134 billion valuation and 70% adoption by major US firms highlight East Asian AI infrastructure demand, as Toyota and Mitsubishi UFJ Financial Group use the platform despite government su…
MLOps Data Engineer traces unreliable AI agent failures to poor knowledge retrieval, arguing that Retrieval-Augmented Generation (RAG) is the foundation for reliable agents. The article explains why c…