Databricks

Databricks introduced a fine-tuning guide for large language models (LLMs) for engineers, explaining how to adapt models to improve accuracy, reduce hallucinations, and integrate domain knowledge.

For valuable AI applications in medicine, it is important to combine different types of data — genomic, clinical, and imaging. This increases the accuracy and applicability of solutions.

Register by April 30 and get a 50% discount on training.

Databricks introduces the Genie agent mode, a new tool that allows users to ask more complex questions and receive extensive answers using data analysis algorithms.

The trend overview shows how companies can optimize the use of AI to reduce costs and improve customer interaction.

Agent programming transforms the development process, requiring new database architectures such as Lakebase to support this evolution.

The Agent Bricks platform allows you to create and manage corporate AI agents that promptly process business data while complying with all norms and regulations.

The new Unity AI Gateway platform provides centralized control over AI coders, optimizes costs, and offers full visibility into the use of AI technologies.

At the CBA Live 2026 event, it was revealed that many AI initiatives in the banking sector are stuck in the pilot stage due to fragmented systems and insufficient data infrastructure.

Unity AI Gateway simplifies secure access for agents to external tools, allowing teams to focus on creating effective solutions.

Discussion on the application of Agent Bricks Supervisor Agent for solving complex data analysis tasks in business.

The study shows how memory scaling can improve the performance of AI agents in real-world tasks.