Databricks Appoints Corrie Briscoe to Lead its Asia Pacific & Japan Partner Business for the Agentic AI Era

Databricks, the Data and AI company, today announced the appointment of Corrie Briscoe as Vice President of Partnerships and Alliances for Asia Pacific & Japan (APJ). Based in Singapore, Corrie will lead and expand Databricks' partner ecosystem across the region, collaborating with cloud providers, global and regional systems integrators, independent software vendors (ISVs) and technology partners to help organizations scale data and AI apps, analytics and agents.

Corrie brings 30 years of experience building and scaling partner ecosystems across Asia Pacific. She joins Databricks from AWS, where she led the APJ Partner Core organization, overseeing partner programs, strategic investments and go-to-market initiatives that drove customer success. Prior to AWS, Corrie held leadership roles at Microsoft and Cisco, leading regional partner strategy and ecosystem development.

The appointment comes as organizations across APJ increase investment to unlock agentic AI. Scaling that investment requires partners who can navigate the region's fragmented data environments, shortage of AI-ready talent, and the governance and controls needed to deploy AI with confidence across diverse industries and regulatory regimes.

Reflecting this shift, Databricks continues to invest in its partner ecosystem with the recent introduction of the Brickbuilder Partner Network (BPN), a global program rewarding partners for turning complex implementations into immediate business impact. Databricks works with more than 8,000 partners globally, including over 1,000 across APJ. Together, the ecosystem is addressing a multi-billion-dollar opportunity in enterprise AI, helping customers build, deploy and scale data and AI applications.

"Enterprise AI is no longer just about choosing the best model. It's about giving that model the right enterprise context through a unified, governed platform, and that value is created together by Databricks and our partners," said Kori O'Brien, Senior Vice President, Global Partnerships, Databricks. "Corrie’s leadership will be instrumental as we continue to invest in our ecosystem and help partners create the next generation of AI solutions across the region. She brings an exceptional track record of helping partners build successful technology businesses and create greater customer impact."

"APJ is home to one of the world’s most dynamic AI markets, spanning different industries, regulatory environments and stages of AI maturity, making strong local partner expertise more important than ever,” said Corrie Briscoe, Vice President of Partnerships and Alliances at APJ. “I am excited to join Databricks at such a crucial moment and work alongside our valued partners. Together, we can help customers deploy AI with confidence, advance innovation and deliver lasting business value."

LTM Launches BlueVerse™ on Databricks to Accelerate AI Monetization

LTM, the Business Creativity partner to the world’s largest enterprises, today announced the launch of BlueVerse for Databricks, a new offering that brings together LTM’s AI ecosystem, BlueVerse™, with Databricks, the Data and AI company, to accelerate AI-driven data monetization.

BlueVerse for Databricks is designed to help enterprises drive tangible business outcomes from data and AI investments by addressing critical challenges in the secure and efficient management of data and compute resources, while optimizing business processes and providing pre-built industry solutions to unlock greater value from AI initiatives.

LTM BlueVerse helps companies reimagine core business processes such as procure-to-pay, order-to-cash, hire-to-retire, and marketing operations as AI-optimized workflows. It also enables organizations to accelerate time-to-value through pre-built, industry-specific solutions for Manufacturing, Banking, Financial Services, Insurance, Media & Entertainment, and Retail & Consumer Goods, or through custom implementations that leverage BlueVerse domain-specific accelerators and models. BlueVerse for Databricks leverages Lakebase, Genie, and Agent Bricks to build these capabilities on Databricks, combining LTM’s industry expertise with the performance, security, and governance of the Databricks platform to support efficient, trustworthy, and scalable AI applications.

“Enterprises are moving beyond experimentation and looking to scale AI with trust, speed, and measurable outcomes. By bringing together the BlueVerse ecosystem and the Databricks platform, we help clients industrialize agentic AI, reuse proven assets, and operationalize AI across real enterprise workflows with stronger governance and faster time to market,” said Krishnan Iyer, Chief Growth Officer, LTM.

“Databricks helps customers turn data and AI investments into production outcomes,” said Kori O’Brien, Senior Vice President, Global Partnerships, Databricks. “With BlueVerse for Databricks, LTM will help our customers move faster from platform to production by combining trusted data and AI with reusable workflows and operational controls.”

The launch of BlueVerse for Databricks marks a key milestone in the growing strategic partnership between LTM and Databricks, backed by LTM’s dedicated Databricks practice with a large pool of certified professionals focused on unlocking opportunities across the company’s expanding base of global customers. LTM brings proven scale to the partnership, reinforced by its recognition as Databricks 2026 Global COE Partner of the Year.

To learn more about BlueVerse for Databricks, click here or visit LTM booth at Databricks Data + AI Summit, San Francisco.

Persistent Anchors Databricks‑Powered AI Hackathon to Build Enterprise‑Ready Talent

Persistent Systems (BSE: 533179 and NSE: PERSISTENT), a global Digital Engineering and Enterprise Modernization leader, collaborated on an AI engineering talent initiative with Databricks and the Milwaukee School of Engineering (MSOE) to help strengthen the next generation of enterprise-ready AI talent.

Developed in collaboration with the MSOE AI Club, Persistent anchored a Databricks-powered AI Hackathon to scale AI delivery capabilities through deeper collaboration across academia, technology ecosystems and industry practitioners. The program provided students with the opportunity to work with AI professionals, bridging the gap between academic AI learning and real-world implementation.

Using the Databricks Data Intelligence Platform and supported by the Databricks University Alliance, the initiative gave students hands-on exposure to advanced data and AI engineering environments used in modern analytics, Generative AI and operational AI deployments. It also emphasized on operational scalability, governance, reliability and engineering discipline. Participants worked across the AI lifecycle using technologies including Delta Lake, Unity Catalog, Agent Bricks, and Databricks Workflows, gaining practical experience in scalable AI pipelines, governed data environments, AI orchestration and production-ready AI architectures.

Persistent’s senior architects and project leads worked directly with participants to bring architectural thinking, governance frameworks and enterprise deployment considerations into the learning experience, helping students better understand how AI systems are built and scaled in business environments.

The collaboration also strengthens Persistent’s engagement with MSOE, a leading institution in applied AI and engineering education. Through its work with the MSOE AI Club, the Company is contributing to an academic ecosystem focused on AI, robotics, data science and next-generation engineering innovation while deepening engagement with emerging talent.

The initiative is part of Persistent’s broader collaboration with Databricks. As a Global Systems Integrator partner, the Company brings strong Databricks capabilities, including over 1,300 Databricks experts, 950+ certifications and proprietary accelerators such as the iAURA suite, helping enterprises modernize data foundations and scale analytics, Generative AI and enterprise AI adoption across the business.

Together, Persistent, Databricks and MSOE are establishing a model that integrates enterprise platforms, practitioner expertise and academic innovation to accelerate workforce readiness for an AI-driven economy.

Key Highlights

• Enterprise AI engineering initiative designed to strengthen workforce readiness for production-scale AI deployments
• Hands-on exposure to enterprise-grade AI engineering workflows, governed data environments and operational AI systems
• Participants worked with Delta Lake, Unity Catalog, Agent Bricks and Databricks Workflows
• Focused on scalable AI pipelines, AI governance, AI orchestration and production-grade enterprise AI architectures.

Sameer Dixit, Corporate Vice President and Head of Data, AI and Integration, Persistent, “The AI market is shifting from isolated pilots to enterprise-wide operationalization, demanding engineers fluent in governed data, scalable platforms and production-grade execution. Our exclusive AI Hackathon with Databricks and MSOE equips students with real-world platform experience and engineering discipline from day one. This approach is rooted in Persistent's hackathon DNA. ‘Semicolons’ - our flagship global annual hackathon, has consistently turned ideas into enterprise-grade solutions and we are now extending that proven model into academia. Strengthening this connection between academia and industry is key to sustaining innovation in the years ahead.”

John Young, Global Managing Director – Partner Solution Architects, Databricks, “AI is only as powerful as the data foundations behind it and organizations today are standardizing on platforms that bring data, analytics and AI together. Preparing talent to work in these unified environments is becoming critical. Collaborations like this with Persistent and MSOE help students build that foundation early, so they can contribute meaningfully from day one in enterprise settings. Strengthening this connection between academia and industry is key to sustaining innovation in the years ahead.”

Derek Riley, PhD, Professor, Program Director of Computer Science, Milwaukee School of Engineering, “The support from Persistent and Databricks has been transformative for the MSOE AI Club and our members. The hackathon brought valuable motivation, perspective, and experience into the classroom and challenged students to think beyond the academic lessons of their classwork. These experiences play an important role in how we prepare graduates to navigate a rapidly evolving AI landscape and deliver value for their future employers.”

Tata Power–Databricks Alliance Powers Unified Data & AI Platform for Smarter Grids

Tata Power, one of India’s largest integrated power companies and a part of the Tata Group, today announced the enterprise-wide adoption of the Databricks platform to accelerate its data and AI transformation across all business clusters - driving enhanced operational efficiency, smarter decision-making, and scalable digital innovation.

As Tata Power advances its transformation in line with the energy transition - spanning renewable integration, smart grids, and an expanding B2C portfolio - the company is building a future-ready data and AI platform to power its next phase of growth. This unified platform will enable intelligent grid management, advanced power planning and optimisation, improved billing and collection efficiencies, accurate renewable forecasting, and operational excellence across solar manufacturing and rooftop businesses while delivering a seamless, single-view customer experience.

To support this vision, Tata Power is leveraging Databricks to establish a modern data foundation that goes beyond traditional warehouses and fragmented analytics systems. Designed to process data at scale and enable near real-time insights, it will also support advanced analytics, AI and agents - underpinned by the governance and security of the Databricks platform. With Databricks, Tata Power can unify data engineering, analytics, and AI on a single, scalable platform, integrating edge, operational, and enterprise data, eliminating silos, and accelerating insight-led decision-making across the organisation.

A key highlight of this transformation is the adoption of Genie, Databricks’ AI agent that lets any employee talk to their data and get trusted answers instantly. With its natural language interface, Genie redefines how organisations access enterprise data to quickly generate insights, dashboards, and analytics and make better decisions, faster.

Dr Praveer Sinha, CEO & MD, Tata Power said, “This partnership with Databricks marks a key milestone in our journey to build a future-ready, intelligent energy ecosystem. By leveraging the power of data and AI , we are strengthening our digital foundation to drive smarter operations, accelerate renewable integration, and deliver more agile, customer-centric solutions while contributing to a resilient and sustainable power sector.”

Tata Power is reshaping customer energy behaviour across residential, commercial, and industrial segments - an essential lever in accelerating the energy transition. Customers are increasingly evolving into active energy participants, not just consumers, optimising their energy usage while contributing to greater grid flexibility, enhanced efficiency, and a more sustainable energy ecosystem.

“The energy sector is undergoing a profound transformation, and data and AI is at the heart of that change. Together, Databricks and Tata Power are building a unified and scalable platform that brings together data, apps, analytics, and AI agents - enabling faster innovation and more resilient, data-driven energy systems. This empowers Tata Power to optimize energy distribution, and drive smarter, more sustainable decision-making at scale,” said Nick Eayrs, Vice President of Field Engineering for Asia Pacific and Japan at Databricks.

“Tata Power’s decision to standardize on Databricks underscores the growing importance of data and AI in transforming the energy sector. As they build a unified, enterprise-wide platform, we are excited to support their journey toward smarter, more efficient operations. This also reflects the strong momentum we are seeing in India, where enterprises are rapidly scaling AI to drive innovation and measurable outcomes,” said Kamalkanth Tummala, Managing Director for India at Databricks.

Tata Power aims to consolidate enterprise data on the Databricks platform, creating a strong foundation for new initiatives and next-generation AI applications. In the medium term, this future-ready platform will enable self-service analytics, “talk-to-data” capabilities, and the democratisation of data and AI - driving faster, insight-led decision-making across the organisation.

To bring this vision to life, Tata Power will build a robust data infrastructure by leveraging the platform’s capabilities, anchored by its internal Centre of Excellence and strengthened through a strategic partner ecosystem.

Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents

Databricks, the Data and AI company, today announced its intent to acquire Neon, a leading serverless Postgres company. As the $100-billion-plus database market braces for unprecedented disruption driven by AI, Databricks plans to continue innovating and investing in Neon’s database and developer experience for existing and new Neon customers and partners.

Neon: An Open, Serverless Foundation for Developers and AI Agents

AI agents are becoming increasingly integral components for modern developers, and Neon is purpose-built to support their agentic workflows. Recent internal telemetry showed that over 80 percent of the databases provisioned on Neon were created automatically by AI agents rather than by humans, underscoring how explosively agentic workloads are growing. These workloads differ from human-driven patterns in three important ways:

• Speed + flexibility: Agents operate at machine speed and traditional database provisioning often becomes a bottleneck — Neon can spin up a fully isolated Postgres instance in 500 milliseconds or less and supports instant branching and forking of not only database schema but also data, so experiments never disturb production.
• Cost proportionality: Agents demand a cost structure that scales precisely with usage — Neon’s full separation of compute and storage keeps the total cost of ownership for thousands of ephemeral databases proportional to the queries they actually run.
• Open source ecosystem: Agents expect to leverage the rich Postgres community — Neon is 100 percent Postgres-compatible and works out of the box with popular extensions.

“The era of AI-native, agent-driven applications is reshaping what a database must do,” said Ali Ghodsi, Co-Founder and CEO at Databricks. “Neon proves it: four out of every five databases on their platform are spun up by code, not humans. By bringing Neon into Databricks, we’re giving developers a serverless Postgres that can keep up with agentic speed, pay-as-you-go economics and the openness of the Postgres community.”

Databricks and Neon’s Shared Vision

Together, Databricks and Neon will work to remove the traditional limitations of databases that require compute and storage to scale in tandem — an inefficiency that hinders AI workloads. The integration of Neon’s serverless Postgres architecture with the Databricks Data Intelligence Platform will help developers and enterprise teams efficiently build and deploy AI agent systems. This approach not only prevents performance bottlenecks from thousands of concurrent agents but also simplifies infrastructure, reduces costs and accelerates innovation — all with Databricks’ security, governance and scalability at the core.

“Four years ago, we set out to build the best Postgres for the cloud that was serverless, highly scalable, and open to everyone. With this acquisition, we plan to accelerate that mission with the support and resources of an AI giant,” said Nikita Shamgunov, CEO of Neon. “Databricks was founded by open source pioneers committed to making it easier for developers to work with data and AI at any scale. Together, we are starting a new chapter on an even more ambitious journey.”

Neon’s talented team is expected to join Databricks after the transaction closes, and the team brings deep expertise and continuity for Neon’s vibrant community. Together, Neon and Databricks will empower organizations to eliminate data silos, simplify architecture and build AI agents that are more responsive, reliable and secure.

We plan to share more at Data + AI Summit in San Francisco, taking place June 9–12.

Details Regarding the Proposed Acquisition
The proposed acquisition is subject to customary closing conditions, including any required regulatory clearances.

Neon was founded in 2021 by a team of experienced database engineers and Postgres contributors with a singular goal: to build a serverless Postgres platform that helps developers build reliable and scalable applications faster, from personal projects to startups, all the way to enterprises.

Databricks is the Data and AI company. More than 10,000 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 and MLflow.