SAN FRANCISCO — Databricks, a leader in data and AI, has introduced a series of enhancements to its Mosaic AI platform designed to help organizations build and deploy production-grade Generative AI solutions. These updates focus on three critical areas: enabling compound AI systems, enhancing model quality, and introducing robust AI governance tools. The innovations aim to address key challenges in scaling Generative AI projects, providing businesses with the tools to confidently implement AI solutions that are accurate, secure, and cost-efficient.

Overcoming Challenges in Generative AI Adoption
Despite significant advancements in foundational AI models, many organizations face obstacles when transitioning Generative AI projects from pilots to full-scale production. Issues such as privacy concerns, unreliable outputs, and high costs have hindered broader adoption. Compound AI systems, which integrate multiple components like vector databases, evaluation tools, and governance mechanisms, are emerging as a solution to these challenges, enabling safer, more reliable AI applications.

“We believe compound AI systems are the future for achieving high-quality, reliable AI applications,” said Matei Zaharia, Co-founder and CTO of Databricks. “Our latest investments in Mosaic AI empower organizations to enhance model performance, integrate real-time data, and build sophisticated AI solutions that deliver real business value.”

Introducing Key Mosaic AI Innovations
The latest updates to Mosaic AI include:

• Mosaic AI Agent Framework: Simplifies the creation of compound AI systems, including Retrieval-Augmented Generation (RAG) applications, by integrating foundation models with enterprise data.
• Mosaic AI Tools Catalog: Allows organizations to securely register, govern, and share tools within Databricks Unity Catalog, ensuring safe and discoverable AI tool use across teams.
• Mosaic AI Model Training: Enables fine-tuning of foundation models with private organizational data, resulting in more accurate and cost-efficient models tailored to specific domains.
• Mosaic AI Gateway: Provides a centralized interface to manage, deploy, and govern AI models, offering usage tracking, guardrails, and safety filters to ensure quality and compliance.

Driving Real-World Impact with Mosaic AI
Early adopters of Mosaic AI are already seeing significant benefits:

• Corning, a global leader in materials science, developed an AI-powered research assistant to analyze and retrieve insights from extensive patent data, improving response accuracy and retrieval speed.
• FordDirect, the data hub for Ford and Lincoln dealerships, used Mosaic AI to create a unified chatbot for performance and inventory insights, leveraging real-time data updates for seamless integration.
• Lippert, a global manufacturer, utilized Mosaic AI Agent Framework to maintain data control while deploying accurate Generative AI solutions that support production workflows.

Enhancing AI Adoption Across Industries
Databricks is helping organizations across industries adopt Generative AI at scale. By combining advanced AI tools with its unified Data Intelligence Platform, the company is enabling customers to move beyond experimentation and unlock the full potential of AI for their businesses.

“These innovations provide the foundation for enterprises to deliver transformative AI solutions that meet the highest standards of accuracy, security, and governance,” added Zaharia.

As businesses increasingly seek to leverage Generative AI for complex applications, Databricks’ advancements in Mosaic AI are positioning the platform as a cornerstone for building scalable, impactful, and future-ready AI systems.