Latest news with #Data+AISummit
Cision Canada
5 days ago
- Business
- Cision Canada
Bizmetric Awarded 2025 Databricks APJ Innovation Partner of the Year at Data + AI Summit
Bizmetric is recognized for its approach to accelerating global data transformation across key industries with cutting-edge AI and data solutions. HOUSTON and PUNE, India, June 17, 2025 /CNW/ -- Bizmetric, a leader in enterprise data transformation and analytics, is honored to announce its recognition as the 2025 Databricks APJ Innovation Partner of the Year. Presented at the annual Data + AI Summit, the award highlights Bizmetric's exceptional contributions and innovations in delivering scalable, AI-powered solutions across sectors including Oil & Gas, Manufacturing, and BFSI domains. Over the past year, Bizmetric, in collaboration with Databricks, has delivered cutting-edge solutions in AI/ML, analytics, and data governance. With accelerators like MLOps, Data Engineering, and Gen AI Bots, Bizmetric has driven client success through faster deployment, automation, and intelligent task execution—boosting enterprise efficiency and measurable business outcomes. "Partnering with Databricks has been pivotal in accelerating our mission to deliver cutting-edge data and AI solutions that drive real business impact for our clients," said Amit Mittal, Founder & CEO, and Ishan Kohli, Co-Founder and India Head at Bizmetric. "Being recognized as the 2025 Databricks APJ Innovation Partner of the Year at the Data + AI Summit is not just an honor - it's a testament to the strength of our collaboration, the innovation we've brought to the ecosystem, and our shared commitment to transforming the future of data and AI across industries." "We're excited to recognize Bizmetric as the 2025 Databricks APJ Innovation Partner of the Year," said Greg Taylor, Vice President of Partners, APJ at Databricks. Bizmetric, in collaboration with Databricks, drives data intelligence with accelerators and Gen AI solutions that streamline workflows and automate HR, IT, and customer service—empowering enterprises to solve complex challenges and maximize data value. Case Study: A global manufacturer partnered with Bizmetric and Databricks to streamline IoT data integration, ensure compliance, and improve ML operations. Using MLflow, Unity Catalog, and Delta Lake, they achieved 30% less downtime, $55M savings, 15% higher throughput, and 3x faster queries—showcasing a successful, scalable digital transformation.
Business Standard
5 days ago
- Business
- Business Standard
Bizmetric Awarded 2025 Databricks APJ Innovation Partner of the Year at Data + AI Summit
PRNewswire Houston (Texas) [US] / Pune (Maharashtra) [India], June 17: Bizmetric, a leader in enterprise data transformation and analytics, is honored to announce its recognition as the 2025 Databricks APJ Innovation Partner of the Year. Presented at the annual Data + AI Summit, the award highlights Bizmetric's exceptional contributions and innovations in delivering scalable, AI-powered solutions across sectors including Oil & Gas, Manufacturing, and BFSI domains. * Bizmetric is recognized for its approach to accelerating global data transformation across key industries with cutting-edge AI and data solutions. Over the past year, Bizmetric, in collaboration with Databricks, has delivered cutting-edge solutions in AI/ML, analytics, and data governance. With accelerators like MLOps, Data Engineering, and Gen AI Bots, Bizmetric has driven client success through faster deployment, automation, and intelligent task execution--boosting enterprise efficiency and measurable business outcomes. "Partnering with Databricks has been pivotal in accelerating our mission to deliver cutting-edge data and AI solutions that drive real business impact for our clients," said Amit Mittal, Founder & CEO, and Ishan Kohli, Co-Founder and India Head at Bizmetric. "Being recognized as the 2025 Databricks APJ Innovation Partner of the Year at the Data + AI Summit is not just an honor - it's a testament to the strength of our collaboration, the innovation we've brought to the ecosystem, and our shared commitment to transforming the future of data and AI across industries." "We're excited to recognize Bizmetric as the 2025 Databricks APJ Innovation Partner of the Year," said Greg Taylor, Vice President of Partners, APJ at Databricks. Bizmetric, in collaboration with Databricks, drives data intelligence with accelerators and Gen AI solutions that streamline workflows and automate HR, IT, and customer service--empowering enterprises to solve complex challenges and maximize data value. Case Study: A global manufacturer partnered with Bizmetric and Databricks to streamline IoT data integration, ensure compliance, and improve ML operations. Using MLflow, Unity Catalog, and Delta Lake, they achieved 30% less downtime, $55M savings, 15% higher throughput, and 3x faster queries--showcasing a successful, scalable digital transformation. About Bizmetric Bizmetric is a global data and AI solutions provider, founded in Texas with a strong presence in India, offering scalable analytics, AI/ML, DevOps, and cloud solutions--guided by People, Process, and Product (PPP) to deliver measurable business outcomes. Learn more at .
Business Wire
13-06-2025
- Business
- Business Wire
PuppyGraph Announces New Native Integration to Support Databricks' Managed Iceberg Tables
SAN FRANCISCO--(BUSINESS WIRE)--PuppyGraph, the first real-time, zero-ETL graph query engine, today announced native integration with Managed Iceberg Tables on the Databricks Data Intelligence Platform. This milestone allows organizations to run complex graph queries directly on Iceberg Tables governed by Unity Catalog- no data movement and no ETL pipelines. "Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse. " -- Weimo Liu, CEO of PuppyGraph Share Databricks Managed Iceberg Tables, launching in Public Preview at this year's Data + AI Summit, offers full support for the Apache Iceberg™ REST Catalog API. This allows external engines, such as Apache Spark™, Apache Flink™, and Apache Kafka™, to interoperate seamlessly with tables governed by Unity Catalog. Managed Iceberg Tables provide automatic performance optimizations, which deliver cost-efficient storage and lightning-fast queries out of the box. By combining PuppyGraph's in-place graph engine with the openness and scale of Managed Iceberg Tables, teams can now: Query massive Iceberg datasets as a live graph, in real-time Use graph traversal to detect fraud, lateral movement, and network paths Perform Root Cause Analysis on telemetry data using service relationship graphs Eliminate the need for ETL into siloed graph databases Scale analytics across petabytes with minimal operational overhead Coinbase and CipherOwl are joint customers of Databricks and PuppyGraph. At the Data + AI Summit, both will share how graph analytics has powered their products and enabled real-time insights directly on managed lakehouses. "This changes how graph analytics fits into the modern data stack," said Weimo Liu, CEO of PuppyGraph. "Databricks' new Iceberg capabilities provide a truly open, scalable foundation. With PuppyGraph, teams can ask complex relationship-driven questions without ever leaving their lakehouse." To learn more about how PuppyGraph integrates with Apache Iceberg™ and the Databricks Data Intelligence Platform, visit or see the joint talk with Coinbase at Data + AI Summit 2025. About PuppyGraph: PuppyGraph is the first and only real time, zero-ETL graph query engine in the market, empowering data teams to query existing relational data stores as a unified graph model deployed in under 10 minutes, bypassing traditional graph databases' cost, latency, and maintenance hurdles. Capable of scaling with petabytes of data and executing complex 10-hop queries in seconds, PuppyGraph supports use cases from enhancing LLMs with knowledge graphs to fraud detection, cybersecurity and more. Trusted by industry leaders, including Coinbase, Netskope, CipherOwl, Prevalent AI, Clarivate, and more. Learn more at and follow the company on LinkedIn, YouTube and X.
Business Standard
13-06-2025
- Business
- Business Standard
NIIT Learning Systems named Databricks APJ Training Partner of the Year
NIIT Learning Systems announced that it has been named as the ATP APJ Training Partner of the Year by Databricks. Databricks, the leading Data and AI company, combines Apache Spark with Delta Lake to break down traditional data silos and deliver a unified platform for data engineering, machine learning, and data science at scale. Its global Partner Ecosystem, over 6,000 strong plays a pivotal role in delivering premier data and AI solutions. Each year, Databricks recognizes these collaborative efforts through the Databricks Partner Awards presented at the Data + AI Summit across 56 categories to honor outstanding partner achievements. NIIT earned the Databricks APJ Training Partner of the Year award for exceptional delivery of the core Databricks curriculum and leveraging a robust team of instructors specializing in Generative AI to serve customers across the APJ region. As an early and vital partner, NIIT played a key role in developing the Databricks Certified Instructor network, aligning with evolving customer demands to ensure high quality, impactful training.
Yahoo
12-06-2025
- 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
