Latest news with #DatabricksData+AISummit
Time of India
13-06-2025
- Business
- Time of India
India's digital businesses are innovating faster with data & AI, says Databricks founder
India's digital-native businesses are artificial intelligence (AI)-hungry and ahead of the curve from global peers when it comes to innovation with data and AI , said Ali Ghodsi, founder and chief executive of Databricks . 'India's great because when the rest of the world is talking about recession, India is on the upswing. And in the last decade, they've built a lot of digital infrastructure in India, which is a game-changer. India's ahead on digital infrastructure compared to most other countries in the world,' Ghodsi said while addressing the media at the Databricks Data + AI Summit in San Francisco on Wednesday. The Silicon Valley's data and AI company Databricks recently committed a $250 million investment in India over the next three years towards local R&D, talent development, and enterprise adoption of AI. "We're doubling down on Bangalore. We hired a huge engineering team. We target the IITs," he said, mentioning an instance where the company received 700 applications from IIT graduates for just four open positions in Bangalore. Ghodsi said that the company is extremely bullish on Asian markets, including India, South Korea, Australia and New Zealand, which are moving faster than the rest of the world on AI because of the relaxed regulatory environment. 'We're investing ahead of the game there. We're not just looking at how much revenue we get? Is the ROI there? Instead. We're saying, let's put even more there than the numbers justify, because we're so bullish on what's happening in Asia,' he said. At the annual conference on Wednesday, Databricks made a slew of bold announcements challenging traditional players in database management, AI apps and agents. Here's a rundown of key announcements: Agent bricks Taking a fresh approach to agentic AI, Databricks is focusing on the quality and cost of productising agents with 'Agent Bricks', an offering that directly challenges Salesforce's Agent Force and Google's Agent Space. 'There are a lot of challenges in the industry around building agents. We can't evaluate the quality of the agents. We don't know how these agents are doing in production,' Ghodsi said, adding that there are no evaluations or benchmarks for judging the performance of agents. Hence, Databricks is introducing LLM judges for automated evaluations. Agent Bricks' auto optimisation techniques, such as knowledge extraction and multi-agent supervisor can refine the agent for the best quality output, sometimes at 10 times lower cost. Lakebase Challenging the traditional database platforms like Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL, Databricks announced Lakebase, a first-of-its-kind fully-managed Postgres database built for AI. 'We think that's going to disrupt the existing database market, which has really not changed much in 40 years. But I think now is the time where it's actually under a lot of pressure with agents coming in,' Ghodsi said, adding that the company is targeting a $100 billion total addressable market with Lakebase. Databricks, last month, announced the acquisition of Neon, a leading serverless Postgres company, which showed that over 30% of the databases at Neon were actually created by agents, not by database administrators. 'So next year, it's probably 99% plus.' Therefore, in the new AI era, enterprises need different types of databases where compute and storage are completely separated, he explained. 'You just store the database on very cheap cloud storage in an open format so you're not locked into anyone (single vendor).' Over 300 Databricks customers are already using Lakebase, and this transition is going to be the most important marathon for the next five years, he said. Databricks free edition To close the AI talent gap, Databricks also announced the free edition of its platform, along with a $100 million global investment in data and AI education. This initiative gives students, professionals, and institutions free access to Databricks tools and training. Among other notable announcements made was the Lakeflow Designer, a new no-code capability that lets non-technical users create data pipelines using a visual drag-and-drop interface and a natural language GenAI assistant. (The reporter was in San Francisco at the invitation of Databricks)
Economic Times
12-06-2025
- Business
- Economic Times
India's digital businesses are innovating faster with Data + AI, says Databricks founder
Live Events India's digital-native businesses are artificial intelligence (AI)-hungry and ahead of the curve from global peers when it comes to innovation with data and AI , said Ali Ghodsi, founder and chief executive of Databricks 'India's great because when the rest of the world is talking about recession, India is on the upswing. And in the last decade, they've built a lot of digital infrastructure in India, which is a game-changer. India's ahead on digital infrastructure compared to most other countries in the world,' Ghodsi said while addressing the media at the Databricks Data + AI Summit in San Francisco on Silicon Valley's data and AI company Databricks recently committed a $250 million investment in India over the next three years towards local R&D, talent development, and enterprise adoption of AI."We're doubling down on Bangalore. We hired a huge engineering team. We target the IITs," he said, mentioning an instance where the company received 700 applications from IIT graduates for just four open positions in said that the company is extremely bullish on Asian markets, including India, South Korea, Australia and New Zealand, which are moving faster than the rest of the world on AI because of the relaxed regulatory environment.'We're investing ahead of the game there. We're not just looking at how much revenue we get? Is the ROI there? Instead. We're saying, let's put even more there than the numbers justify, because we're so bullish on what's happening in Asia,' he the annual conference on Wednesday, Databricks made a slew of bold announcements challenging traditional players in database management, AI apps and agents. Here's a rundown of key announcements:Taking a fresh approach to agentic AI, Databricks is focusing on the quality and cost of productising agents with 'Agent Bricks', an offering that directly challenges Salesforce's Agent Force and Google's Agent Space.'There are a lot of challenges in the industry around building agents. We can't evaluate the quality of the agents. We don't know how these agents are doing in production,' Ghodsi said, adding that there are no evaluations or benchmarks for judging the performance of Databricks is introducing LLM judges for automated evaluations. Agent Bricks' auto optimisation techniques, such as knowledge extraction and multi-agent supervisor can refine the agent for the best quality output, sometimes at 10 times lower the traditional database platforms like Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL, Databricks announced Lakebase, a first-of-its-kind fully-managed Postgres database built for AI.'We think that's going to disrupt the existing database market, which has really not changed much in 40 years. But I think now is the time where it's actually under a lot of pressure with agents coming in,' Ghodsi said, adding that the company is targeting a $100 billion total addressable market with last month, announced the acquisition of Neon, a leading serverless Postgres company, which showed that over 30% of the databases at Neon were actually created by agents, not by database administrators. 'So next year, it's probably 99% plus.'Therefore, in the new AI era, enterprises need different types of databases where compute and storage are completely separated, he explained. 'You just store the database on very cheap cloud storage in an open format so you're not locked into anyone (single vendor).'Over 300 Databricks customers are already using Lakebase, and this transition is going to be the most important marathon for the next five years, he close the AI talent gap, Databricks also announced the free edition of its platform, along with a $100 million global investment in data and AI education. This initiative gives students, professionals, and institutions free access to Databricks tools and other notable announcements made was the Lakeflow Designer, a new no-code capability that lets non-technical users create data pipelines using a visual drag-and-drop interface and a natural language GenAI assistant.(The reporter was in San Francisco at the invitation of Databricks)
Time of India
12-06-2025
- Business
- Time of India
India's digital businesses are innovating faster with Data + AI, says Databricks founder
Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads India's digital-native businesses are artificial intelligence (AI)-hungry and ahead of the curve from global peers when it comes to innovation with data and AI , said Ali Ghodsi, founder and chief executive of Databricks 'India's great because when the rest of the world is talking about recession, India is on the upswing. And in the last decade, they've built a lot of digital infrastructure in India, which is a game-changer. India's ahead on digital infrastructure compared to most other countries in the world,' Ghodsi said while addressing the media at the Databricks Data + AI Summit in San Francisco on Silicon Valley's data and AI company Databricks recently committed a $250 million investment in India over the next three years towards local R&D, talent development, and enterprise adoption of AI."We're doubling down on Bangalore. We hired a huge engineering team. We target the IITs," he said, mentioning an instance where the company received 700 applications from IIT graduates for just four open positions in said that the company is extremely bullish on Asian markets, including India, South Korea, Australia and New Zealand, which are moving faster than the rest of the world on AI because of the relaxed regulatory environment.'We're investing ahead of the game there. We're not just looking at how much revenue we get? Is the ROI there? Instead. We're saying, let's put even more there than the numbers justify, because we're so bullish on what's happening in Asia,' he the annual conference on Wednesday, Databricks made a slew of bold announcements challenging traditional players in database management, AI apps and agents. Here's a rundown of key announcements:Taking a fresh approach to agentic AI, Databricks is focusing on the quality and cost of productising agents with 'Agent Bricks', an offering that directly challenges Salesforce's Agent Force and Google's Agent Space.'There are a lot of challenges in the industry around building agents. We can't evaluate the quality of the agents. We don't know how these agents are doing in production,' Ghodsi said, adding that there are no evaluations or benchmarks for judging the performance of Databricks is introducing LLM judges for automated evaluations. Agent Bricks' auto optimisation techniques, such as knowledge extraction and multi-agent supervisor can refine the agent for the best quality output, sometimes at 10 times lower the traditional database platforms like Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL, Databricks announced Lakebase, a first-of-its-kind fully-managed Postgres database built for AI.'We think that's going to disrupt the existing database market, which has really not changed much in 40 years. But I think now is the time where it's actually under a lot of pressure with agents coming in,' Ghodsi said, adding that the company is targeting a $100 billion total addressable market with last month, announced the acquisition of Neon, a leading serverless Postgres company, which showed that over 30% of the databases at Neon were actually created by agents, not by database administrators. 'So next year, it's probably 99% plus.'Therefore, in the new AI era, enterprises need different types of databases where compute and storage are completely separated, he explained. 'You just store the database on very cheap cloud storage in an open format so you're not locked into anyone (single vendor).'Over 300 Databricks customers are already using Lakebase, and this transition is going to be the most important marathon for the next five years, he close the AI talent gap, Databricks also announced the free edition of its platform, along with a $100 million global investment in data and AI education. This initiative gives students, professionals, and institutions free access to Databricks tools and other notable announcements made was the Lakeflow Designer, a new no-code capability that lets non-technical users create data pipelines using a visual drag-and-drop interface and a natural language GenAI assistant.(The reporter was in San Francisco at the invitation of Databricks)
Business Wire
12-06-2025
- Business
- Business Wire
Superblocks Announces Strategic Partnership with Databricks Data Intelligence Platform to Deploy Data and AI Apps Securely
NEW YORK--(BUSINESS WIRE)-- Superblocks, the leading platform for secure enterprise application development, today announced an expanded partnership and native integration with Databricks, the Data and AI company, at the 2025 Databricks Data + AI Summit. Now, enterprises are able to build internal data and AI applications using Superblocks' unique multi-modal development experience and leveraging data, AI, and governance in the Databricks Data Intelligence Platform. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. Enterprises today are under increasing pressure to turn data and AI into secure, production-ready applications that power and automate core business operations. With Superblocks on Databricks, teams get the best of both worlds: centralized access to enterprise data and AI models from Databricks, combined with the flexibility of Superblocks to build full-stack internal apps using Clark AI, the Visual Editor, or the underlying React framework. Superblocks brings a powerful application builder to the Databricks Data Intelligence Platform, enabling engineering, IT, and business teams to collaboratively build and deploy internal apps faster than ever. With native integration, teams can also seamlessly leverage Databricks services including Databricks SQL, Mosaic AI, Lakebase, and Unity Catalog to power their applications — all within a unified, secure environment. 'Our customers have invested in building a data and AI foundation in Databricks, and are increasingly turning to applications to help democratize those investments across their organization,' said Shanku Niyogi, VP of Product at Databricks. 'With Superblocks' integration with Databricks, they're able to accelerate the development of these data and AI applications, without sacrificing security and governance.' Superblocks enables a multi-modal development experience, so teams can build in the way that best suits their workflow: Generate with AI: Use Clark, the first AI agent for internal enterprise apps, to generate full-stack apps from natural language prompts. Build visually: Refine UIs, agents, and workflows using hundreds of drag-and-drop components. Customize with JavaScript or bring your own React components. Extend with Code: Edit underlying React code directly in your IDE (Cursor, Windsurf, VSCode) with real-time sync to the Visual Editor. Customers then have the option of hosting these applications in Superblocks Cloud, in their own VPC using the Superblock on-prem agent, or, as part of a future integration, directly as a Databricks App with the built-in security, governance, and compliance controls of the Databricks Data Intelligence Platform. 'Databricks has transformed how organizations access and leverage data and AI. Superblocks takes it a step further empowering engineering, IT, and business teams to collaborate and build internal apps on top of that foundation,' said Brad Menezes, CEO of Superblocks. 'Together, we're unlocking a new era of enterprise software development where anyone can build secure, production-grade internal tools with full governance, all within the Databricks Data Intelligence Platform.' The ability to integrate Databricks products in a Superblocks application is now generally available to all customers. To learn more about the partnership, please visit our blog, or schedule a demo to see Superblocks and Databricks in action. About Superblocks: Superblocks is an AI platform that reimagines how internal software is built across the enterprise. Its AI agent, Clark, allows businesses to build production-grade internal apps and automations using natural language. Every app connects directly to company systems, data, and design standards, while generating clean, traceable React code under the hood. With full visibility and control for engineering and IT, Superblocks enables faster execution, fewer bottlenecks, and a new model for building internal software at scale. Superblocks has raised $60M in funding and is backed by Spark Capital, Kleiner Perkins, Greenoaks, and Meritech Capital, as well as leading tech executives including the founders of Workday, Box, and Okta.
Business Standard
10-06-2025
- Business
- Business Standard
Tredence Wins Fourth Consecutive Databricks Retail and CPG Partner of the Year Award at Data + AI Summit
PRNewswire San Francisco (California) [US], June 10: Tredence, a global data science and AI solutions company, today announced that it has been named the Databricks Retail & CPG (RCG) Partner of the Year for the fourth consecutive year. Trusted by 8 of the top 10 retailers and CPGs and recognized for driving last mile AI impact by modernizing data, industrializing GenAI, and scaling AI. Tredence was selected for their standout expertise in harnessing the Databricks Data Intelligence Platform and deep domain expertise to drive exceptional value for retail and CPG clients. Presented at the annual Databricks Data + AI Summit, the award celebrates Tredence's exceptional contributions to modernizing data and AI infrastructure, accelerating GenAI implementation, and scaling AI adoption across some of the world's largest retailers and consumer brands, collectively generating over $2T in global revenue. Over the past year, Tredence has demonstrated an unparalleled commitment to helping Retail and CPG enterprise organizations build data intelligence through its collaboration with Databricks, the Data and AI company. "Tredence is the AI expert driving the Data & AI strategy for 8 of the top 10 global retailers. Together with Databricks, we're helping industry leaders modernize their data foundations, enhance governance, and operationalize GenAI," said Morgan Seybert, President and Chief Business Officer of Retail at Tredence. "Backed by our unified retail data model, 150+ AI/ML accelerators, and 12+ GenAI agents, we're solving complex data science and data engineering challenges at scale." "In CPG, speed and precision drives growth. We help brands unlock growth by bridging the gap between insight and action--using Agentic AI, predictive forecasting and connected data to optimize every shelf, in every market," said Sagar Balan, Chief Business Officer of CPG at Tredence. "Our collaboration with Databricks is helping CPG leaders turn insights into immediate business impact. This is where data stops being passive and starts delivering value that compounds." In FY25, Tredence and Databricks helped leading retail and CPG enterprises drive business value across three core areas: * Modernization that delivers: Unlocked $220M EBITA, $13M in labor savings, and a 10%+ improvement in forecast accuracy for a leading grocery chain in the U.S. * Monetization through intelligent activation: Enabled $58M+ in retail media network revenue, reduced platform licensing costs by 30-50%, and achieved 3-5X acceleration in time-to-insight for marketing and CX teams for a major American retailer. * Industrialization of AI and GenAI: Scaled enterprise-wide GenAI leading to 3X faster adoption, 30% productivity boost, 100% compliance for a leading CPG enterprise. "Tredence continues to push the boundaries of how data and AI unlock value for our joint clients in retail and CPG," said Matt Jackson, Vice President of Sales, Retail & Consumer Goods at Databricks. "Their focus on last-mile analytics impact, coupled with a powerful library of Brickbuilder Solutions, is helping RCGs move faster--from data to decision." Adding to this honor, Tredence was also awarded the Databricks Growth Partner of the Year for the Americas, reaffirming its position as the trusted Data & AI partner to leading enterprises across the region. About Tredence Tredence is a global data science and AI solutions provider focused on solving the last-mile problem in AI - the gap between insight creation and value realization. Tredence leverages deep domain expertise, data platforms and accelerators, and strategic partnerships to provide targeted, impactful solutions to its clients. The company has 3,500+ employees across San Francisco Bay Area, Chicago, London, Toronto, and Bengaluru, serving top brands in Retail, CPG, Hi-tech, Telecom, Healthcare, Travel, and Industrials.
