Latest news with #MikePalmer
Business Wire
6 days ago
- Business
- Business Wire
Sigma Launches Native Semantic Layer Integration and AI SQL Capabilities on Snowflake AI Data Cloud
SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced at Snowflake Summit 2025, two major platform innovations in partnership with Snowflake: a first-class integration with Snowflake Semantic Views and support for AI SQL, Snowflake's breakthrough feature for querying unstructured data. Together, these advances enable governed semantic exploration and file-based AI-powered analysis—directly in Sigma's intuitive, spreadsheet-like interface. The combined innovations mark a leap toward unified analytics where both structured metrics and raw human context—contracts, images, PDFs, and text—are queryable side-by-side in a single governed system. 'Sigma is building toward a future where every layer of the data stack speaks the same language—defined once, executed everywhere.' Query Semantic Views Directly in Sigma With this integration, Sigma unlocks warehouse-defined metrics, dimensions, and relationships for downstream analysis, dashboards, and apps – cementing the data warehouse as the single source of truth for semantics. This new integration offers joint customers the most seamless, warehouse-native analytics experience on the market. By partnering with Snowflake, the AI Data Cloud company, Sigma is helping to fully realize a long-held industry vision: semantic logic defined once, governed centrally, and accessed directly in the warehouse—no duplication, no drift. Together, the companies are mobilizing the world's data to help organizations operate in an environment where semantic logic lives natively in the warehouse, not duplicated across disconnected tools. 'Sigma's integration with Snowflake Semantic Views isn't just compatible — it's truly native, built for flexibility, scale, and the next generation of analytics,' said Mike Palmer, CEO of Sigma. 'By meeting the semantic layer where it belongs, we're giving business teams instant access to governed metrics and logic without compromise. And this is just the beginning. From bi-directional syncs to visual semantic exploration, Sigma is building toward a unified modeling experience that brings clarity and control to every layer of the data stack.' 'The integration between Sigma and Snowflake's Semantic Views marks an important step forward in enabling enterprises to leverage the state-of-the-art AI solutions available with Snowflake Intelligence and Cortex Analyst,' said Carl Perry, Head of Analytics, Snowflake. 'This advancement helps our customers maximize the value of their data within Snowflake's AI Data Cloud through AI and BI experiences, creating more efficient and powerful workflows for their teams.' 'This is a major leap forward in delivering a consistent, governed experience powered entirely by Snowflake,' added Palmer. 'Sigma is building toward a future where every layer of the data stack speaks the same language—defined once, executed everywhere.' Bringing Structure to Unstructured Data - Powered by Cortex AISQL Also announced today at Snowflake Summit 2025, is the news that Sigma is among the first analytics platforms to fully support Snowflake AI SQL, a new capability that lets users query unstructured data—like contracts, receipts, product specs, and image files—as if it lived in a table. This news comes on the heels of Sigma's recent launch of its new File Column Type feature, allowing end users to connect unstructured content with structured data for the first time, making complex, real-world workflows fully executable inside Sigma. Teams can upload files with Sigma, run them through Snowflake's powerful LLM-based functions, and analyze the structured results alongside traditional datasets—no pipelines and no special tools required. 'For decades, legacy BI tools assumed your data was clean, structured, and waiting politely in rows and columns,' said Palmer. 'But some of the most important business decisions are made with the messy stuff: legal documents, compliance PDFs, screenshots, receipts, product specs, and annotated images. Historically, those formats required a human in the loop: to read, interpret, and manually extract insights. That's the bottleneck AI SQL removes. Sigma and Snowflake turn human knowledge into scalable systems, unlocking entirely new types of analysis across industries and teams.' 'Every organization recognizes the potential of AI. But too often, harnessing AI means overcoming complex infrastructure, performance limitations, high costs, and a reliance on engineers to build custom pipelines,' said Perry. 'We're removing those barriers, whether it's enabling anyone to analyze and act on all their data with Cortex AISQL or accelerating migrations off legacy systems through SnowConvert AI. By empowering teams to move faster, work smarter, and turn data into real impact, we're reimagining analytics for the AI era.' Snowflake's AI SQL functions analyze the content using LLMs, and Sigma picks up the structured output and renders it live in dashboards or workflows. This unlocks transformative use cases: Process thousands of vendor contracts Review receipts as part of claims workflows Extract key clauses from dense legal agreements Attach evidence to operational data for full-context analytics There's no need for custom pipelines, reformatting, or manual review. Just files in, answers out. Governed, traceable, and ready to use. Joint customers can start using the semantic layer integration immediately through their existing Snowflake and Sigma environments as well as the full support for Cortex AISQL. For more information on Sigma's integration with Snowflake Semantic Views, click here and for more information on Snowflake's AI SQL function, read here. ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.
Yahoo
7 days ago
- Business
- Yahoo
Sigma Named 2025 Snowflake Business Intelligence Data Cloud Product Partner of the Year
Nearly 1,000 joint customers, including DoorDash and Mindbody, leverage Sigma and Snowflake to democratize data insights SAN FRANCISCO, June 03, 2025--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, announced today at Snowflake Summit 2025 that it has been named Snowflake's Business Intelligence Data Cloud Product Partner of the Year for the third consecutive year. During the conference, Sigma also announced major new product functionalities that further demonstrate the powerful integration capabilities of Sigma with Snowflake's platform. With dynamic, real-time access to the AI Data Cloud, joint customers can seamlessly build data apps, centralize AI strategy, and build a resilient, future-ready data infrastructure. "Sigma's Generative Intelligence approach redefines how teams interact with data—combining natural language, AI, and real-time cloud data to unlock faster, smarter decisions," said Mike Palmer, CEO, Sigma. "And unlike traditional BI tools, Sigma goes further by empowering users to build data apps, which automate their actions on those insights. Sigma's Generative Intelligence delivers the promise of the AI Data Cloud by enabling analysis through action. We're honored to be recognized for helping customers close the gap between insight and execution." "Throughout our partnership, Sigma has consistently demonstrated excellence in working with the AI Data Cloud," said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. "We're pleased to again recognize them with the Business Intelligence Partner of the Year award, acknowledging both their impressive work to date and our ongoing collaboration to help organizations make better use of data and AI." Sigma is the Heli-Ski Partner for Snowflake Summit 2025, June 2-5 in San Francisco, and will be exhibiting at Booth #1900 for daily theater sessions featuring data-confident customers, new product launches, and hands-on training. Sigma will also host several featured sessions at the event, including customers such as the Intercontinental Exchange/the New York Stock Exchange (NYSE) and Yamaha Motor Finance, as well as educational sessions on Sigma's expanding capabilities to solve last-mile analytics leveraging Cortex AI. Learn more about Sigma and Snowflake here. Check out keynotes from Snowflake Summit 2025 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter/X. For more information on Sigma, visit: ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics. View source version on Contacts press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
7 days ago
- Business
- Yahoo
Sigma Named 2025 Snowflake Business Intelligence Data Cloud Product Partner of the Year
Nearly 1,000 joint customers, including DoorDash and Mindbody, leverage Sigma and Snowflake to democratize data insights SAN FRANCISCO, June 03, 2025--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, announced today at Snowflake Summit 2025 that it has been named Snowflake's Business Intelligence Data Cloud Product Partner of the Year for the third consecutive year. During the conference, Sigma also announced major new product functionalities that further demonstrate the powerful integration capabilities of Sigma with Snowflake's platform. With dynamic, real-time access to the AI Data Cloud, joint customers can seamlessly build data apps, centralize AI strategy, and build a resilient, future-ready data infrastructure. "Sigma's Generative Intelligence approach redefines how teams interact with data—combining natural language, AI, and real-time cloud data to unlock faster, smarter decisions," said Mike Palmer, CEO, Sigma. "And unlike traditional BI tools, Sigma goes further by empowering users to build data apps, which automate their actions on those insights. Sigma's Generative Intelligence delivers the promise of the AI Data Cloud by enabling analysis through action. We're honored to be recognized for helping customers close the gap between insight and execution." "Throughout our partnership, Sigma has consistently demonstrated excellence in working with the AI Data Cloud," said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. "We're pleased to again recognize them with the Business Intelligence Partner of the Year award, acknowledging both their impressive work to date and our ongoing collaboration to help organizations make better use of data and AI." Sigma is the Heli-Ski Partner for Snowflake Summit 2025, June 2-5 in San Francisco, and will be exhibiting at Booth #1900 for daily theater sessions featuring data-confident customers, new product launches, and hands-on training. Sigma will also host several featured sessions at the event, including customers such as the Intercontinental Exchange/the New York Stock Exchange (NYSE) and Yamaha Motor Finance, as well as educational sessions on Sigma's expanding capabilities to solve last-mile analytics leveraging Cortex AI. Learn more about Sigma and Snowflake here. Check out keynotes from Snowflake Summit 2025 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter/X. For more information on Sigma, visit: ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics. View source version on Contacts press@
Business Wire
7 days ago
- Business
- Business Wire
Sigma Named 2025 Snowflake Business Intelligence Data Cloud Product Partner of the Year
SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, announced today at Snowflake Summit 2025 that it has been named Snowflake's Business Intelligence Data Cloud Product Partner of the Year for the third consecutive year. 'Sigma's Generative Intelligence approach redefines how teams interact with data—combining natural language, AI, and real-time cloud data to unlock faster, smarter decisions,' said Mike Palmer, CEO, Sigma. During the conference, Sigma also announced major new product functionalities that further demonstrate the powerful integration capabilities of Sigma with Snowflake's platform. With dynamic, real-time access to the AI Data Cloud, joint customers can seamlessly build data apps, centralize AI strategy, and build a resilient, future-ready data infrastructure. 'Sigma's Generative Intelligence approach redefines how teams interact with data—combining natural language, AI, and real-time cloud data to unlock faster, smarter decisions,' said Mike Palmer, CEO, Sigma. 'And unlike traditional BI tools, Sigma goes further by empowering users to build data apps, which automate their actions on those insights. Sigma's Generative Intelligence delivers the promise of the AI Data Cloud by enabling analysis through action. We're honored to be recognized for helping customers close the gap between insight and execution." "Throughout our partnership, Sigma has consistently demonstrated excellence in working with the AI Data Cloud," said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. "We're pleased to again recognize them with the Business Intelligence Partner of the Year award, acknowledging both their impressive work to date and our ongoing collaboration to help organizations make better use of data and AI." Sigma is the Heli-Ski Partner for Snowflake Summit 2025, June 2-5 in San Francisco, and will be exhibiting at Booth #1900 for daily theater sessions featuring data-confident customers, new product launches, and hands-on training. Sigma will also host several featured sessions at the event, including customers such as the Intercontinental Exchange/the New York Stock Exchange (NYSE) and Yamaha Motor Finance, as well as educational sessions on Sigma's expanding capabilities to solve last-mile analytics leveraging Cortex AI. Learn more about Sigma and Snowflake here. Check out keynotes from Snowflake Summit 2025 live or on-demand here and stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter/X. For more information on Sigma, visit: ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.
Business Wire
20-05-2025
- Business
- Business Wire
Sigma Launches New Ways to Build, Embed, and Scale AI-Powered Experiences
SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced a series of new features designed to make it easier for customers to build AI into their data workflows—and to bring Sigma data apps to life more robustly and functionally. The updates include major enhancements to its generative intelligence interface, Ask Sigma, as well as the launch of embedded writeback. With the introduction of the new File Column Type feature, teams can connect unstructured content with structured data for the first time, making complex, real-world workflows fully executable inside Sigma. Also announced today were upcoming features that continue to expand on Sigma's platform capabilities, including the ability to build Python-powered data science apps and natural language-built data apps. 'Sigma makes it possible for everyone who works with data to leverage the best AI models, deploy fully operational data apps, and discover new, trusted insights with the help of AI—all in a single platform,' said Mike Palmer, CEO of Sigma. Share 'Sigma makes it possible for everyone who works with data to leverage the best AI models, deploy fully operational data apps, and discover new, trusted insights with the help of AI—all in a single platform,' said Mike Palmer, CEO of Sigma. 'Every company is talking about AI, but the reality is that most are building the wrong things or thinking about the wrong problems. Building flashy AI is easy. Building AI that solves the right problem—helping people think through complex concepts and unlock new outcomes—is really hard. This is the AI work that matters, and Sigma leads the way with a thoughtful approach.' The UI to AI, apps, and analytics—all in one platform The suite of new features for Ask Sigma enables customers to accelerate their data analysis with the help of AI. These innovations include ways to: Embed Ask Sigma directly into a customer's product for use by their end users Monitor AI usage, adoption, and engagement through the new Admin View Run Ask Sigma with models from Snowflake and Databricks With embedded AI-powered analytics, Sigma enables companies to deliver a seamless, self-service experience to their end users, reducing reliance on analysts and accelerating time to insight. Users can ask natural language questions, explore how answers are derived, and iterate on the results—all without leaving the product experience. 'Sigma's core ethos is to be the analytics platform for any business user, regardless of technical skill level. Our AI strategy simply takes this idea further,' added Palmer. 'These enhancements not only make AI in analytics more transparent, customizable, and accessible—they also empower data, IT, and product leaders to drive greater impact. With features like Embedding, Admin View, and Warehouse Models, we're giving leaders unprecedented control, visibility, and scalability in how data is used across their organizations.' Turn dashboards into interactive apps with embedded writeback With the introduction of embedded writeback, customers can now take Sigma's embedded analytics in their product from passive viewing to active collaboration. By turning static dashboards into powerful, role-based workflows, Sigma enables end users to act on insights in real time, while reducing governance and security risks and ensuring full auditability. With embedded writeback, companies are enabled to: Build interactive data experiences for their end users inside their existing applications Allow end users to edit, update, and submit changes directly from embedded dashboards Adjust a forecast or reallocate resources, with the data becoming the new source of truth—reflected everywhere, and usable across the stack Get visibility into who made changes with an end-to-end audit trail Connect unstructured content with structured data Sigma has introduced an upgrade to its platform with powerful implications for its data app development capabilities. Sigma data apps—launched this past March—combine live data, workflows, and user input directly on the customer's cloud data warehouse. Sigma's new File Column Type feature allows users to upload unstructured files—like PDFs, images, and spreadsheets—directly into Sigma tables. This means teams can add critical context to their data and fully integrate these files into live workflows, virtually eliminating the need to juggle files between email attachments or shared drives into disconnected and expensive single-purpose software. With all data, structured and unstructured, now securely in one place—the customer's data warehouse—Sigma makes it easier than ever to turn complex business processes into interactive, data-driven apps. Examples of what customers can now do with Sigma data apps include: A workflow to attach deal contracts where deal data lives An expense report system with easy receipt attachment capabilities A project management workflow where creative assets can be attached to marketing campaign calendars The Ask Sigma upgrades, embedded writeback, and file column type capabilities are all features available today. Coming soon for Sigma customers using Databricks are data science apps—a way for Sigma users who write Python code to flexibly build in a Sigma workbook. Soon, customers will also be able to leverage Ask Sigma to turn a workflow from plain language into a working app. These Natural Language-designed data apps may be fully connected to a customer's live data, including inputs for user interaction. Designed to be built to drive real action, without writing code or relying on technical teams, creating apps will become faster and more accessible. To learn more about the newest AI product advancements and features coming soon, visit: ABOUT SIGMA Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.
