Databricks

Coles Group is hoping AI can play a role in better preparing the retailer and its value chain for the…

Databricks is acquiring Tecton to enhance its AI agent capabilities, particularly for real-time data processing and automation in enterprise applications.…

Databricks raised $1 billion at a $100 billion valuation, co-led by Thrive and Insight Partners, to fund development of an…

GEPA is a breakthrough AI optimization method that enhances large language models (LLMs) using natural language feedback instead of costly…

OpenAI released GPT-OSS, a free AI model for local use on laptops, available in 120B and 20B parameter versions, with…

As AI takes over more software development tasks, a critical challenge emerges: preventing faulty code from reaching production. Startups are…

Varonis introduces Next-Gen Database Activity Monitoring (DAM), a cloud-native solution that eliminates agent-based systems, offering faster deployment and superior data…

The K Prize AI coding competition revealed major gaps in AI capabilities, with the winning entry scoring only 7.5% accuracy,…

Anthropic launched a specialized financial analysis platform using its Claude 4 and Claude Code models, focusing on advanced analytics and…

PostgreSQL is gaining popularity for AI workloads but struggles with native search capabilities, prompting solutions like ParadeDB, which integrates Elasticsearch-like…

Nearly two-thirds of companies struggle with AI data management, leading to high project failure rates, with over half expected to…

Preparing for an IPO requires long-term planning, with strategic groundwork laid years in advance, as highlighted by Mo Jomaa’s session…

AI infrastructure spending is projected to reach $309 billion by 2032, with security leaders driving innovation as traditional IT frameworks…

Andy Konwinski launched a $100 million AI research initiative through Laude, focusing on societal benefit with backing from industry leaders…

The future of AI depends on robust data infrastructure, with companies shifting focus from algorithms to scalable, high-speed databases to…

Databricks open-sourced its ETL framework, Apache Spark Declarative Pipelines, democratizing enterprise-grade data workflow automation for the Spark community. The framework…

AI security risks during the inference stage, such as prompt injection and data leaks, are a major concern for enterprises…

PostgreSQL is increasingly vital for AI-driven applications, evidenced by major acquisitions like Snowflake's $250M purchase of Crunchy Data and Databricks'…

The rapid advancement of generative AI has escalated ethical concerns, requiring urgent attention to risks like deepfakes and misinformation, as…

Databases are foundational for enterprise AI, requiring high-quality, accessible data and flexible solutions to support serverless architectures and agentic AI…