Latest news with #AgentBricks
Time of India
2 days ago
- 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)
Yahoo
2 days ago
- Business
- Yahoo
Databricks introduces Agent Bricks for AI agent development
Databricks has launched Agent Bricks, an automated solution designed to facilitate the creation of AI agents tailored to specific business needs. This tool allows users to input a 'high-level' description of the desired task and connect their enterprise data, with Agent Bricks managing the subsequent processes. The service, now available in Beta, is optimised for various industry applications, including structured information extraction, knowledge assistance, text transformation, and multi-agent systems, the company said. Agent Bricks employs advanced research methodologies from Mosaic AI Research to generate domain-specific synthetic data and task-aware benchmarks. This approach enables automatic optimisation for both cost and quality, streamlining the development process and enhancing production-level accuracy. The integration of governance and enterprise controls allows teams to transition from concept to production efficiently, eliminating the need for disparate tools. The functionality of Agent Bricks includes automatic generation of task-specific evaluations and LLM judges, the creation of synthetic data that mirrors customer data, and a comprehensive search for optimisation techniques. Users can select the iteration that best balances quality and cost, resulting in a production-ready AI agent capable of delivering consistent output, the company's statement added. Agent Bricks supports various customer use cases across multiple sectors. For instance, the Information Extraction Agent converts documents into structured data, while the Knowledge Assistant Agent provides accurate answers based on enterprise data. The Multi-Agent Supervisor facilitates the integration of multiple agents for complex tasks, and the Custom LLM Agent allows for tailored text transformations. Databricks CEO and co-founder Ali Ghodsi said: '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.' In addition to Agent Bricks, Databricks has introduced several features at the Data + AI Summit, including support for serverless GPUs, enabling teams to fine-tune models and run workloads without managing GPU infrastructure. The release of MLflow 3.0, a platform for managing the AI lifecycle, allows users to monitor and optimise AI agents across various environments. In May 2025, Databricks announced the acquisition of Neon, a serverless Postgres database company. "Databricks introduces Agent Bricks for AI agent development" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Sign in to access your portfolio
Economic Times
2 days ago
- 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
2 days ago
- 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)
Entrepreneur
2 days ago
- Business
- Entrepreneur
Six Happenings that Changed the World of AI This Week
From Meta, OpenAI, Google, and Databricks to Nvidia and Samsung, numerous new AI capabilities have been announced Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. Since the global tech giants completed their annual conferences, it seems Artificial Intelligence (AI) developments haven't taken a single day's breath. From Meta, OpenAI, Google, and Databricks to Nvidia and Samsung, numerous new capabilities have been announced, all aimed at pushing AI into its next chapter. Meta's V-JEPA 2 and the Age of World Models Meta, long a silent workhorse in the AI research domain, has stepped into the spotlight with its latest offering V-JEPA 2, an open-source AI world model. Unveiled on June 11, V-JEPA 2 isn't just another generative model it's designed to reason about the physical world. At its core, the model allows AI systems to internally simulate real-world environments in 3D, equipping machines with the cognitive ability to anticipate how objects might move or behave even in unfamiliar settings. In practice, this could dramatically enhance fields like robotics and autonomous driving, where a deep understanding of physical dynamics is vital. Rather than relying on heavily labelled datasets, V-JEPA 2 is trained on unlabelled video content, making it both scalable and efficient. Meta says the model leverages what's called "latent space" to intuit motion and interaction essentially, AI imagination. "Today, we're excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments. As we work toward our goal of achieving advanced machine intelligence (AMI), it will be important that we have AI systems that can learn about the world as humans do, plan how to execute unfamiliar tasks, and efficiently adapt to the ever-changing world around us," Meta noted in its official blog. OpenAI's o3-Pro: A Model That Thinks Before It Speaks OpenAI's new model, o3-Pro, pushes generative AI beyond fluency and into thoughtful deliberation. Aimed at enterprise users and professionals who care more about accuracy than speed, o3-Pro is engineered for complex reasoning whether it's solving PhD-level science problems or conducting multi-step business analysis. Notably, o3-Pro reportedly outperforms major competitors like Google Gemini 2.5 and Claude 4 Opus on industry-standard benchmarks such as AIME 2024 and GPQA Diamond. But users looking for casual chats may find it slower than its predecessor, GPT-4o. The model is now available to ChatGPT Pro and Team users, though temporary chat memory is disabled due to technical issues, and image generation features are still pending. Databricks Launches Agent Bricks The company launched Agent Bricks, an automated system that allows enterprises to build, optimize, and evaluate AI agents using their own data without requiring deep ML expertise. Agent Bricks isn't just another tool in the LLM toolkit. It tackles two of the biggest blockers to AI adoption: cost and quality. Most agent systems today rely on trial-and-error for tuning. Databricks replaces this with synthetic data generation and custom benchmarks that automatically calibrate agents for domain-specific tasks like legal document parsing or extracting information from maintenance manuals. "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." One compelling example is AstraZeneca which used Agent Bricks to transform over 400,000 clinical trial documents into structured data in under an hour without writing a single line of code. "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," noted Joseph Roemer, Head of Data & AI, Commercial IT, AstraZeneca Google's New AI Architect In a quieter but telling move, Google appointed Koray Kavukcuoglu, CTO of its DeepMind AI lab, as its first Chief AI Architect. The appointment, announced via an internal memo from CEO Sundar Pichai. Kavukcuoglu will now serve as a Senior Vice President reporting directly to Pichai, while continuing in his role as CTO at DeepMind under the leadership of CEO Demis Hassabis. He is set to relocate from London to California to take on this expanded mandate. "In this expanded role, Koray will accelerate how we bring our world-leading models into our products, with the goal of more seamless integration, faster iteration, and greater efficiency," Pichai stated in the memo, underscoring the company's push for scalable, AI-first innovation across its ecosystem. The leadership reshuffle comes at a time when Alphabet is under increasing pressure to demonstrate tangible financial returns from its heavy AI investments, with capital expenditures projected to reach USD 75 billion this year. The tech giant is also balancing regulatory scrutiny and intensifying competition in the AI space. Meta's Foray Into AI Video Editing Meanwhile, Meta is also expanding into generative video with its new AI video editing tools. Launched on its Meta AI app and editing platform 'Edits', users can now apply up to 50 preset transformations ranging from comic book aesthetics to sci-fi outfit swaps to short video clips. While still limited to preset prompts and 10-second clips, the tools point to a future where consumer creativity meets AI augmentation. Meta hasn't confirmed whether its Movie Gen AI models are behind these features, but the trajectory is clear the company is pushing toward broader consumer AI adoption. "We built this so that everyone can experiment creatively and make fun, interesting videos to share with their friends, family, and followers. Whether you're reimagining a favourite family memory or finding new ways to entertain your audience, our video editing [tools] can help," Meta said in its blog post. Nvidia and Samsung's Bet on Physical AI Meanwhile, Nvidia and Samsung are putting their money into robotics. The two tech giants joined Japan's SoftBank in backing Skild AI, a robotics software startup, with Nvidia investing USD 25 million and Samsung adding USD 10 million. Skild is now reportedly valued at USD 4.5 billion following this Series B round. The investment underscores a growing belief that the next frontier for AI isn't more virtual assistants but physical AI such as robots, autonomous systems, and machines that act on the world with intelligence.
