Latest news with #DatabricksData+AISummit
Yahoo
2 hours ago
- Business
- Yahoo
Amperity Launches Chuck Data, the First AI Agent Built for Customer Data Engineering in Databricks
Bringing the vibe coding revolution to customer data engineering - accelerating identity resolution, improving accuracy, and eliminating manual overhead SEATTLE, June 09, 2025--(BUSINESS WIRE)--Amperity, the AI-powered customer data cloud, today launched Chuck Data, the first AI Agent built specifically for customer data engineering. Chuck uses Amperity's years of experience and patented identity resolution models, trained on billions of data sets across 400+ enterprise brands, as critical knowledge behind the AI. Chuck runs in the terminal and empowers engineers to quickly understand their data, tag it, and resolve customer identities in minutes - all from within their Databricks lakehouse. As pressure mounts to deliver business-ready insights quickly, data engineers are hitting a wall: while infrastructure has modernized, the work of preparing customer data still relies on manual code and brittle rules-based systems. Chuck changes that by enabling data engineers to "vibe code" - using natural language prompts to delegate complex engineering tasks to an AI assistant. Chuck connects directly to a user's Databricks environment, leveraging native compute and large language model (LLM) endpoints to execute high-impact workflows like identity resolution, compliance tagging, and data profiling. "Customer data engineering is full of repetitive, painful work, so we built Chuck to get rid of it," said Derek Slager, co-founder and CTO at Amperity. "Chuck understands your data and helps you get stuff done faster, whether you're stitching identities or tagging PII. No orchestration, no UI gymnastics—it's just fast, contextual, and command-driven." Key Features of Chuck Data: Natural language command interface for customer data tasks Identity resolution via Amperity Stitch, running on Databricks compute PII tagging and customer profiling across Unity Catalog Compliance through accurate and easy PII tagging within Databricks Zero-copy architecture: Chuck never moves your data Built for Databricks, Backed by Amperity's Identity Expertise Chuck runs entirely in your terminal, using your Databricks environment for compute, storage, and LLM execution. With a single install, engineers can run natural language commands that eliminate manual code and deliver accurate, scalable customer profiles. A core capability of Chuck is running Amperity's patented identity resolution algorithm - the same trusted Stitch technology used in its enterprise CDP. Users can run unlimited free Stitch on datasets up to 1 million records with a generous budget of credits for larger data sets included for free with the research preview program. Paid plans unlock unlimited runs, access to Amperity's stable ID algorithm, and enterprise support. Experience Chuck Data Live at Databricks Data + AI Summit Amperity will demo Chuck live at Booth #704 during the Databricks Data + AI Summit, June 9–12 in San Francisco. Stop by to see how Chuck: Resolves millions of identities in seconds Creates transparent customer ID graphs Streamlines data engineering workflows with AI Want to see Chuck in action? Check out the demo at About Amperity Amperity's Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models, and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Alaska Airlines, DICK'S Sporting Goods, BECU, and Wyndham Hotels & Resorts, rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London, and Melbourne. For more information, visit or follow us on LinkedIn, X, Facebook and Instagram. View source version on Contacts Media Contact: Andrea Mochermanpress@ (425) 432-8302
Business Wire
2 hours ago
- Business
- Business Wire
Amperity Launches Chuck Data, the First AI Agent Built for Customer Data Engineering in Databricks
SEATTLE--(BUSINESS WIRE)-- Amperity, the AI-powered customer data cloud, today launched Chuck Data, the first AI Agent built specifically for customer data engineering. Chuck uses Amperity's years of experience and patented identity resolution models, trained on billions of data sets across 400+ enterprise brands, as critical knowledge behind the AI. Chuck runs in the terminal and empowers engineers to quickly understand their data, tag it, and resolve customer identities in minutes - all from within their Databricks lakehouse. 'Chuck understands your data and helps you get stuff done faster, whether you're stitching identities or tagging PII. No orchestration, no UI gymnastics - it's just fast, contextual, and command-driven," said Derek Slager, co-founder and CTO at Amperity. Share As pressure mounts to deliver business-ready insights quickly, data engineers are hitting a wall: while infrastructure has modernized, the work of preparing customer data still relies on manual code and brittle rules-based systems. Chuck changes that by enabling data engineers to 'vibe code' - using natural language prompts to delegate complex engineering tasks to an AI assistant. Chuck connects directly to a user's Databricks environment, leveraging native compute and large language model (LLM) endpoints to execute high-impact workflows like identity resolution, compliance tagging, and data profiling. 'Customer data engineering is full of repetitive, painful work, so we built Chuck to get rid of it,' said Derek Slager, co-founder and CTO at Amperity. 'Chuck understands your data and helps you get stuff done faster, whether you're stitching identities or tagging PII. No orchestration, no UI gymnastics—it's just fast, contextual, and command-driven.' Key Features of Chuck Data: Natural language command interface for customer data tasks Identity resolution via Amperity Stitch, running on Databricks compute PII tagging and customer profiling across Unity Catalog Compliance through accurate and easy PII tagging within Databricks Zero-copy architecture: Chuck never moves your data Built for Databricks, Backed by Amperity's Identity Expertise Chuck runs entirely in your terminal, using your Databricks environment for compute, storage, and LLM execution. With a single install, engineers can run natural language commands that eliminate manual code and deliver accurate, scalable customer profiles. A core capability of Chuck is running Amperity's patented identity resolution algorithm - the same trusted Stitch technology used in its enterprise CDP. Users can run unlimited free Stitch on datasets up to 1 million records with a generous budget of credits for larger data sets included for free with the research preview program. Paid plans unlock unlimited runs, access to Amperity's stable ID algorithm, and enterprise support. Experience Chuck Data Live at Databricks Data + AI Summit Amperity will demo Chuck live at Booth #704 during the Databricks Data + AI Summit, June 9–12 in San Francisco. Stop by to see how Chuck: Resolves millions of identities in seconds Creates transparent customer ID graphs Streamlines data engineering workflows with AI Want to see Chuck in action? Check out the demo at About Amperity Amperity's Customer Data Cloud empowers brands to transform raw customer data into strategic business assets with unprecedented speed and accuracy. Through AI-powered identity resolution, customizable data models, and intelligent automation, Amperity helps technologists eliminate data bottlenecks and accelerate business impact. More than 400 leading brands worldwide, including Alaska Airlines, DICK'S Sporting Goods, BECU, and Wyndham Hotels & Resorts, rely on Amperity to drive customer insights and revenue growth. Founded in 2016, Amperity operates globally with offices in Seattle, New York City, London, and Melbourne. For more information, visit or follow us on LinkedIn, X, Facebook and Instagram.
Business Wire
3 days ago
- Business
- Business Wire
Domo to Present at 2025 Data + AI Summit on Driving Real ROI with AI and Data Products
SILICON SLOPES, Utah--(BUSINESS WIRE)--Today Domo (Nasdaq: DOMO) announced it will showcase its AI and data products platform as an Icon Sponsor at the 2025 Databricks Data + AI Summit, taking place June 9-12 at the Moscone Center in San Francisco. Sol de Janeiro, the rapidly growing beauty brand acquired by L'Occitane in 2021, will present alongside Domo, sharing how their partnership has transformed key business insights and expanded data access throughout their organization. Summit attendees can also visit Domo at booth #F617 for on-demand demonstrations of how Domo's AI and Data Products platform empowers organizations of all sizes to transform raw information into actionable intelligence that drives measurable value. The platform, underpinned by a secure data foundation, connects with existing legacy and cloud systems, such as the Databricks Data Intelligence Platform, to help companies optimize critical business processes at scale. The Data + AI Summit is the world's largest event for the global data, analytics, and AI community, bringing together over 20,000 data engineers, data scientists, analysts, and leaders to explore the latest advancements in data and AI technologies. The summit features more than 700 sessions, hands-on training, and networking opportunities for professionals across the data ecosystem. For more details on Domo's presence and sessions at the Data + AI Summit, visit About Domo Domo is an AI and Data Products platform that helps companies of all sizes leverage data and AI to drive value in today's data-driven world. Built around our customers' preferred data foundation, powered by our award-winning solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business. For more information, visit You can also follow Domo on LinkedIn, X, and Facebook. Domo is a registered trademark of Domo, Inc.
Yahoo
4 days ago
- Business
- Yahoo
Databricks and Noma Security Announce Partnership to Accelerate Enterprise AI Security
Partnership delivers comprehensive AI security from development to production, enabling confidence in enterprise AI innovation and adoption TEL AVIV, Israel, June 05, 2025 (GLOBE NEWSWIRE) -- Noma Security, the unified AI security and governance platform, today announced a strategic partnership with Databricks, the Data and AI company, to address the challenge of balancing rapid enterprise AI innovation and adoption with robust AI security and governance. Noma Security also announced today a strategic investment from Databricks Ventures. This investment comes after Noma Security launched from stealth with a $32M Series A funding round led by Ballistic Ventures and Glilot Partners. "Many Databricks customers are already using Noma Security for security and governance across the AI lifecycle. The Noma Security platform directly addresses the AI security uncertainties that often hinder enterprise AI adoption," said Andrew Ferguson, Vice President of Databricks Ventures. "Our partnership and investment underscore our commitment to equipping Databricks customers with trusted, secure AI solutions that accelerate innovation." The partnership integrates the Noma Security end-to-end AI security and governance platform directly into Databricks AI environments, creating a comprehensive solution that secures AI systems from initial development through production deployment. This integration helps Fortune 500 organizations accelerate AI adoption while maintaining security, compliance, and governance standards required by emerging regulations like the EU AI Act. The integrated Noma Security and Databricks solution delivers value to innovative organizations and enterprise CISOs in these four categories: AI discovery and governance for complete visibility into AI assets generating an AI bill of materials; Secure AI by design through proactive vulnerability detection and automated policy enforcement through AI infrastructure and supply chain scanning, and AI red teaming; AI runtime protection against prompt attacks and data leakage; AI agent security covering complex AI agent architectures and MCP server scanning. "As enterprise organizations race to deploy AI at scale, security and governance is at the top of every CISOs priority list," said Niv Braun, CEO and co-founder of Noma Security. "Our partnership with Databricks creates a comprehensive and secure AI environment for enterprise organizations – from supply chain protection to runtime monitoring to AI agent governance. Together, we're enabling confident and responsible AI innovation." The partnership also supports alignment with leading AI security frameworks including OWASP Top 10 for LLMs, MITRE ATLAS, and Databricks AI Security Framework (DASF 2.0), helping organizations prepare for evolving regulations such as the EU AI Act and achieve certifications like ISO 42001. Connect at Databricks Data + AI Summit next weekJoin Noma Security and Databricks at the Databricks Data + AI Summit in San Francisco, June 9-12, 2025, to see the integrated solution in action. Contact us to schedule time with our experts on site or if you can't attend in person, request a demo. Attend the Databricks and Noma Security webinar on June 26Learn the top best practices to secure and govern AI using Databricks and Noma Security by registering for this joint webinar titled, "AI Security Best Practices to Confidently Accelerate Enterprise AI Adoption." Register today and join Databricks and Noma Security experts on Thursday, June 26, 2025, at 11:00pm Eastern. About Noma SecurityNoma Security is the AI security and governance platform giving enterprise organizations the confidence to rapidly build and deploy AI at scale. Noma Security uniquely provides cybersecurity teams with control of AI risk through continuous discovery and inventory, supply chain security, red teaming, and runtime protection to ensure compliance and risk mitigation. Backed by Ballistic Ventures, Glilot Capital, Cyber Club London, Databricks Ventures and SVCI, Noma Security is widely adopted by Fortune 500 customers and has been recognized by Gartner as a leading AI TRiSM solution. For more information visit About DatabricksDatabricks 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. To learn more visit CONTACT: Media contact: Rhett Glauser, Noma Security Email: rhett@ Mobile: +1 760.487.8230
Business Upturn
29-05-2025
- Business
- Business Upturn
Anomalo Advances Unstructured Data Monitoring Product With New Breakthrough Workflows, Bringing Value and Trust to the Trove of Unstructured Data Used for Gen AI
PALO ALTO, Calif., May 29, 2025 (GLOBE NEWSWIRE) — Anomalo, the company reinventing enterprise data quality, today announced that it has added a major innovation, Workflows, to its groundbreaking second product, Unstructured Data Monitoring, and made the entire product generally available. Unstructured Data Monitoring lets enterprises extract insights and identify issues from the vast volumes of unstructured data stored in their data warehouses, data lake and cloud storage locations. Anomalo Workflows is a hub for managing and monitoring unstructured data, moving the product beyond just being a platform for data quality. Anomalo was the first to announce AI-powered monitoring of unstructured text in June of last year and added additional breakthrough capabilities in November . Anomalo's Unstructured Data Monitoring with Workflows furthers the company's mission to provide data trust across all data types and all data use cases. Anomalo's GM of Gen AI Products Vicky Andonova is giving a talk at the Snowflake Summit on the Unstructured Data Monitoring product on Tuesday, June 3 at 3:30 p.m. Nationwide is giving a talk at Databricks Data + AI Summit the following week on Thursday, June 12 at 12:20 p.m. that will cover enterprise data governance and preparing the enterprise for Gen AI initiatives. 'Everyone's talking about unstructured data for Gen AI but the real breakthrough is solving for both quality and insights within this type of data. You can think of our Unstructured Monitoring product and Anomalo Workflows as building blocks that can be assembled in thousands of configurations to achieve pretty much any customer use case for unstructured data quality or insights. Take one of our large retail customers who is trying to mine support tickets and call logs to understand why customers are unhappy. That kind of analysis wasn't easily possible before Anomalo. Just as we redefined data quality for structured data, we're now helping enterprises trust and extract value from unstructured data at a scale no other tool can match,' said Elliot Shmukler, co-founder and CEO of Anomalo. Anomalo's first product uses AI to automatically detect issues in structured data, letting teams resolve any hiccups with their data before making decisions, running operations or powering AI and machine learning workflows. The product is used by customers in every major vertical, six of the Fortune 50 and four of the world's six largest telecom companies. However structured data only represents 20% of the picture. The other 80% of data – documents, call transcripts, emails, messages and order forms – is unstructured, and it is quickly becoming critical to enterprise success as organizations look to power Gen AI workflows. Whether deploying RAG systems or customer-facing chatbots, enterprises need to bring high-quality, domain-specific data to their LLMs. The challenge lies in the unknown. Companies do not know what is in their unstructured data, let alone trust it, making it hard to bring production-ready Gen AI applications to market. With Anomalo's Unstructured Data Monitoring product, enterprises can curate unstructured text documents and evaluate them for data quality around various document and document collection characteristics, including document length, duplicates, topics, tone, language, abusive language, PII and sentiment. Customers can quickly assess the quality and fitness of a document collection and identify issues in individual documents, dramatically reducing the time needed to curate, profile and leverage high-value unstructured text data. In addition to Anomalo's 15 out-of-the-box issues, customers can create their own custom issues to look for and designate what classifies as high or low quality for their documents with custom severity scores. Anomalo Workflows now lets customers: Identify and correct quality issues like duplicates, errors, PII and abusive language Analyze large volumes of unstructured content to uncover patterns and extract meaningful insights Convert unstructured content into structured data ready for downstream analytics and Gen AI workflows Curate document collections into clean, reusable sets for training or retrieval Customers can tailor the platform to their specific use case and get results fast. For example, Anomalo can analyze more than 100,000 documents in one run and can run continuously as new data comes in so what previously was a manual never ending task that could take months, now takes 10 minutes with Anomalo. 'In the restaurant service industry, understanding and acting on guest experiences is critical and that means unlocking insights from the tens of thousands of unstructured comments we receive each month. Through our collaboration with Anomalo, we've started exploring how their Unstructured Data Monitoring can surface meaningful patterns in support tickets and guest feedback. We're excited about the power to turn this data into actionable insights, strengthen our Gen AI initiatives and bring high-quality unstructured data into everything we build,' said Sid Stephens, data governance lead at one of the largest fast food chains in the US. About Anomalo Anomalo is reinventing enterprise data quality with an AI-powered data quality platform. Anomalo uses machine learning to replace traditional rules-based systems and automatically detect and alert teams about data quality issues across both structured and unstructured data. With seamless integrations across the entire data stack, Anomalo ensures customers can confidently operate with data and AI before data quality impacts downstream business decisions, customer-facing applications and machine learning models. Anomalo is backed by Databricks Ventures, Snowflake Ventures, SignalFire, Smith Point Capital, Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, Village Global and First Round Capital. For more information, visit . Media and Analyst Contact:Amber Rowland [email protected] +1-650-814-4560
