Latest news with #MosaicAI
Business Wire
3 days ago
- Business
- Business Wire
Informatica Expands Partnership with Databricks as Launch Partner for Managed Iceberg Tables and OLTP Database Service at Data + AI Summit 2025
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), an AI-powered enterprise cloud data management leader, today announced a significant expansion of its partnership with Databricks at the 2025 Data + AI Summit. Informatica is a launch partner for two major innovations from Databricks—Managed Iceberg Tables and Databricks Lakebase, a first-of-its-kind, modern database built for AI. Informatica also unveiled GenAI-focused enhancements to its Intelligent Data Management Cloud (IDMC) platform to accelerate data and AI at scale with Databricks. These announcements further strengthen Informatica's leadership in cloud data management and its deep integration with the Databricks Data Intelligence Platform. Support/Launch Partner for Databricks' New Managed Iceberg Tables As a launch partner for Databricks Managed Iceberg Tables, Informatica enables customers to ingest, cleanse, govern and transform Iceberg-format data at enterprise scale. This allows organizations to convert any data to Iceberg format and leverage open table formats with confidence while maintaining high-performance analytics and AI workloads on the Databricks Data Intelligence Platform. Launch Partner/Connectivity for Databricks' New OLTP Database Informatica is also a launch partner for Databricks Lakebase, a new fully managed, Postgres-compatible database that supports high-volume transactions. Informatica enables seamless data loading and transformation from over 300 sources into the Databricks PostgreSQL service. This will help customers support transactional database (OLTP) use cases by leveraging all their enterprise data assets within the Databricks Data Intelligence Platform, providing uniform enterprise data management for analytics, AI and now transactional workloads. Accelerating GenAI Adoption with CAI for Mosaic AI In addition, Informatica is introducing new capabilities aimed at accelerating the adoption of AI agents and GenAI on Databricks Mosaic AI, Databricks' suite of AI solutions that helps enterprises build and deploy quality AI agent systems. These include: Mosaic AI connectors for Cloud Application Integration (CAI): Rapidly deploy AI agents that integrate enterprise data with Mosaic AI through a no-code interface. GenAI Recipes for CAI: Pre-configured templates that simplify and speed up GenAI application development and deployment. Enhanced Volume Support for Databricks Integration New volume support for Informatica's Cloud Data Integration (CDI) and Cloud Data Ingestion and Replication (CDIR) allows Databricks customers to move and manage non-tabular datasets more efficiently via Unity Catalog—reinforcing Informatica's strength in no-code, governed data integration. 'As a launch partner for our Managed Iceberg Tables and Lakebase, Informatica is committed to supporting Databricks' goal of helping customers leverage open table formats,' said Roger Murff, VP of Technology Partners at Databricks. 'With Informatica's support for GenAI through Databricks Mosaic AI connectors and GenAI recipes, we're enabling enterprises to streamline AI initiatives that harness data intelligence and create real business impact.' 'Informatica continues to be at the leading edge of Generative AI, enabling our joint customers to build a data foundation of trusted, AI-ready data,' said Rik Tamm-Daniels, Group Vice President of Strategic Ecosystems and Technology at Informatica. 'As a launch partner, today's announcement showcases our ongoing commitment to innovating with Databricks to maximize customer value through deep product enhancement and partnership alignment.' Join Informatica at DAIS 2025 Informatica invites attendees to visit booth #325 at the Databricks Data + AI Summit to explore how Informatica and Databricks are jointly driving the future of AI and enterprise data management. About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access to governed data, simplifying operations and scaling with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation.
Techday NZ
4 days ago
- Business
- Techday NZ
Databricks unveils Agent Bricks to streamline enterprise AI agents
Databricks has launched Agent Bricks, an automated product designed to allow enterprises to build and deploy AI agents that are customised for their data and operational needs. Agent Bricks works by taking a high-level task description from users, connecting it with enterprise data, and then handling all additional tasks in the agent-building process. This includes generating synthetic data, running performance benchmarks and optimising the resulting AI agent. The product is built using research from Mosaic AI and is currently available in Beta. It is aimed primarily at common business needs, such as knowledge assistance, information extraction, and the orchestration of multiple AI agents working together. Databricks has included built-in governance and enterprise controls intended to enable teams to implement Agent Bricks without assembling different components from multiple vendors. Features and automation Agent Bricks relies on synthetic data generation and automated evaluation to streamline the tuning of AI agents. According to Databricks, the workflow starts with automatic creation of task-specific assessments and large language model (LLM) judges to measure output quality. Synthetic data that matches the user's domain is then created to train and test the agent. Various optimisation techniques are applied automatically. At the conclusion of this process, users select the iteration of the AI agent that reflects their chosen balance of quality and operational cost. Agent Bricks is designed to produce a domain-specific agent ready for use in business environments. Industry use cases The company outlined a series of use cases for Agent Bricks across different industries. In information extraction, the agent can process documents such as emails and PDFs, converting them into structured fields for easier analysis. For retail businesses, this means the ability to automate extraction of product information from supplier documents, regardless of formatting. Other examples include the use of knowledge assistant agents in manufacturing, helping technicians quickly find answers in technical manuals, and enabling multi-agent orchestration in financial services to manage tasks like intent detection and compliance checks. Marketing teams can also use custom language model agents to generate content aligned with their brand's standards. Addressing evaluation and scalability Databricks states that Agent Bricks is a response to key barriers in deploying production-ready AI agents, especially the challenges of objectively evaluating new models for quality and cost—tasks that traditionally require manual processes and significant expertise. The automation of evaluation and data generation aims to make it possible to scale AI agent deployment without reskilling or expanding teams. "Agent Bricks is a whole new way of building and deploying AI agents that can reason on your data," said Ali Ghodsi, CEO and Co-founder of Databricks. "For the first time, businesses can go from idea to production-grade AI on their own data with speed and confidence, with control over quality and cost tradeoffs. No manual tuning, no guesswork and all the security and governance Databricks has to offer. It's the breakthrough that finally makes enterprise AI agents both practical and powerful." Customer feedback Several Databricks customers have provided early feedback. Joseph Roemer, Head of Data & AI, Commercial IT, AstraZeneca, said, "With Agent Bricks, our teams were able to parse through more than 400,000 clinical trial documents and extract structured data points — without writing a single line of code. In just under 60 minutes, we had a working agent that can transform complex unstructured data usable for Analytics." Chris Nishnick, Director of AI, Lippert, commented, "With Agent Bricks, we can quickly productionise domain-specific AI agents for tasks like extracting insights from customer support calls—something that used to take weeks of manual review. It's accelerated our AI capabilities across the enterprise, guiding us through quality improvements in the grounding loop and identifying lower-cost options that perform just as well." Roman Bugaev, CTO, Flo Health, added, "Agent Bricks enabled us to double our medical accuracy over standard commercial LLMs, while meeting Flo Health's high internal standards for clinical accuracy, safety, privacy, and security. By leveraging Flo's specialised health expertise and data, Agent Bricks uses synthetic data generation and custom evaluation techniques to deliver higher-quality results at a significantly lower cost. This enables us to scale personalised AI health support efficiently and safely, uniquely positioning Flo to advance women's health for hundreds of millions of users." Ryan Jockers, Assistant Director of Reporting and Analytics at the North Dakota University System, said, "Agent Bricks allowed us to build a cost-effective agent we could trust in production. With custom-tailored evaluation, we confidently developed an information extraction agent that parsed unstructured legislative calendars—saving 30 days of manual trial-and-error optimisation." Joel Wasson, Manager Enterprise Data & Analytics, Hawaiian Electric, noted, "With over 40,000 complex legal documents, we needed high precision from our internal 'Regulatory Chat Tool'. Agent Bricks significantly outperformed our original open-source implementation (built on LangChain) in both LLM-as-judge and human evaluation accuracy metrics." Further AI platform releases The launch of Agent Bricks is accompanied by additional tools. Databricks now provides serverless GPU support, which is intended to allow customers to fine-tune models or run deep learning workloads without having to manage underlying hardware. This provides on-demand and scalable access to computing resources for AI development and deployment. Databricks has also released MLflow 3.0, the newest version of its open-source AI development framework. MLflow 3.0 is intended to help teams monitor, trace, and optimise AI agents across different environments, with integrated support for prompt management and evaluation. MLflow provides compatibility with existing data lakehouse architectures and continues to see substantial monthly usage figures.
Cision Canada
4 days ago
- Business
- Cision Canada
Databricks Launches Free Edition and Announces $100 Million Investment to Develop the Next Generation of Data and AI Talent
New offering provides free access to the Databricks Data Intelligence Platform to help everyone from students to aspiring professionals develop critical skills in data and AI SAN FRANCISCO, June 11, 2025 /CNW/ -- Data + AI Summit -- Databricks, the Data and AI company, today announced a $100 million investment in global data and AI education, aimed at closing the industry-wide talent gap and preparing the next generation of data and AI engineers, data analysts and data scientists. This initiative includes the launch of Databricks Free Edition, a new offering to provide everyone — from students, hobbyists and aspiring professionals to university systems — free access to the full capabilities of the Databricks Data Intelligence Platform, and a comprehensive set of trainings to accelerate their knowledge of data and AI technologies. Enterprises are racing to harness the power of data and AI, but they face the same challenge: a shortage of skilled talent. According to World Economic Forum data, eight out of ten business leaders expect AI to fundamentally reshape their organizations by 2030. Databricks' new initiative addresses this head-on, empowering academic institutions, students and aspiring professionals with the same data and AI tools used by leading companies as well as training to upskill on those tools. "Everyone we speak to is constrained by the same problem: not enough people with the right data and AI skills," said Ali Ghodsi, Co-founder and CEO of Databricks. "With the right investment and the right tools, we will see more AI innovation in this next generation than all previous generations combined. That's why we're making a long-term bet on education — not just to close the talent gap, but because it's fundamental to our mission of democratizing data and AI." Databricks Free Edition Highlights The new Databricks Free Edition is designed to set future data and AI professionals up for success with a comprehensive data, analytics and AI platform that mirrors what they will use in industry roles. With Databricks Free Edition, anyone can experiment across the full extent of data and AI use cases on one platform, from executing SQL queries and creating data visualizations to building AI apps: Build AI agents and applications using Mosaic AI, and learn how to prepare data and deploy, evaluate and govern AI systems, while experimenting with some of the latest foundation models. Collaborate on data science and ML projects in shared notebooks that support Python, SQL and more — perfect for group work, experimentation and showcasing your work. Create beautiful, interactive dashboards and ask natural language questions of your data using Genie, a next-gen AI-powered business intelligence tool. Query and analyze data with SQL using the built-in SQL editor to sharpen your data analysis skills and explore real datasets like a pro. Learn how to build reliable data pipelines and become a data engineer using Databricks Lakeflow to ingest, transform and orchestrate data from various sources. Get instant coding help while you learn with Databricks Assistant, which helps you write, fix and understand code as you work in notebooks, queries and files. Invite friends and teammates to collaborate in a shared environment — explore, learn and create together in real time, just like in the workplace. Free unlimited access to training content on Databricks Academy provides on-demand learning experiences for all skill levels, helping you succeed and accelerate your Data and AI journey. Democratizing Databricks Academy Databricks Academy is the centralized destination for building Data and AI skills at every level. With hundreds of hours of always up-to-date, self-paced content, learners can follow curated role- and skill-based pathways in Data Engineering, Data Analysis, Machine Learning and Generative AI. Starting today, all self-paced courses are available free of charge to all users, supporting our mission to democratize data and AI. Whether you're just getting started or deepening your expertise, Databricks Academy offers role-based learning journeys aligned to the Databricks Data Intelligence Platform. Investing in Databricks University Alliance Program Databricks Free Edition will serve as a key enabler in the company's educational push. Databricks will offer students and faculty access to the Databricks Data Intelligence Platform — mirroring industry environments and enabling everything from visualizing data on dashboards to building AI models. This builds on the Databricks University Alliance program, a global initiative designed to empower universities, educators and students with free access to Databricks' leading data and AI tools, resources and educational materials. The program, which already supports over 1,200 institutions, including Duke University, Georgia Institute of Technology, University of California Berkeley School of Information and 100,000 students worldwide, aims to bridge the skills gap in data science, engineering and artificial intelligence by providing hands-on experience with industry-standard technologies such as Apache Spark™, Delta Lake and MLflow. "As long-time partners of Databricks, we are encouraged by their expanded commitment to supporting teaching in academia," said Marco Morales, professor at Columbia University. "The resources Databricks provides — rooted in open source technology and ongoing product innovation — are vital for preparing students to excel as data scientists, engineers, and analysts in a rapidly evolving industry." "We are thrilled to see Databricks' commitment to expanding access and resources with their technologies to the global university community," said Polo Chau, professor at Georgia Institute of Technology. "We teach the world's largest data and visual analytics course, educating over 1,200 students every semester, and are committed to equipping the next-generation data practitioners with cutting-edge tools and technologies like the new Databricks Free Edition." "At Texas A&M, we believe equipping students with real-world, hands-on experience with data and AI tools is essential. We are thrilled to see Databricks' commitment to democratizing access to cutting-edge data technologies for the global university community," said Arnold Castro, Assistant Dean for AI of Mays Business School at Texas A&M University. "By integrating these technologies into the classroom, we're empowering our graduates to innovate and drive data-driven transformation in the AI era." "Databricks' announcement marks a significant milestone in the global shift toward the AI economy," said Alvaro Solano, Faculty Professor and Lead Technology Consultant, Engineering, AI/ML, Cloud Computing and 5G at the Universidad Latina de Costa Rica. "In Costa Rica, we've had the privilege of partnering closely with Databricks—both locally and at the corporate level—to lay the foundation for positioning our country as a leading hub for data and AI innovation in Latin America. The open source nature of the Databricks Data Intelligence Platform makes it accessible and scalable for data professionals at every level, from analysts to data scientists. We're looking forward to the transformative impact this commitment will have on the next generation of data practitioners across Latin America." Availability Databricks Free Edition is launching in Public Preview today — more information here. To learn about Databricks Academy and access free self-paced training content, please visit this page. About Databricks Databricks is the Data and AI company. More than 15,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, MLflow, and Unity Catalog. To learn more, follow Databricks on X, LinkedIn and Facebook.
