Latest news with #SnowflakeIntelligence
Techday NZ
4 days ago
- Business
- Techday NZ
Snowflake boosts AI with real-time licensed content access
Snowflake has introduced Cortex Knowledge Extensions, allowing enterprises to supplement their AI agents with real-time, licensed content from third-party publishers, with Stack Overflow among the first partners to join the Snowflake Marketplace. The introduction of Cortex Knowledge Extensions enables enterprise customers to enrich their AI applications and agents with updated, reliable content from publishers such as Stack Overflow, USA TODAY, and Packt. This approach ensures proper attribution and licensing of content, distinguishing it from other systems that use scraped material without consent from original publishers. According to Snowflake, this new capability is designed to address challenges faced by both enterprises and publishers. Enterprises often struggle to gain access to timely external information for their AI systems, limiting accuracy and depth of insight. Meanwhile, publishers are seeking a secure and fair way to allow their content to be used by enterprise AI, with assurance of both compensation and control. "Building powerful AI apps and agents at scale hinges on enterprises having access to a wealth of internal and external data that adds rich context to AI outputs. Snowflake is raising the bar on enterprise-wide collaboration to make it even easier for customers to fuel their AI initiatives with AI-ready data and harness the power of agentic apps — regardless of whether the data and apps reside within their own four walls or come from trusted third-party sources. Our latest innovations enable teams to turn possibilities into reality with data and AI, all without worrying about security and governance risk," Prasanna Krishanan, Head of Apps & Collaboration and Horizon at Snowflake, commented on the launch. With Cortex Knowledge Extensions, publishers are able to list their content, such as news articles, textbooks, and research papers, on the Snowflake Marketplace. Enterprises can then purchase this content and integrate it into their AI-powered apps and agents, including Cortex Agents, Cortex Search, and the soon-to-be-available Snowflake Intelligence. This functionality enables AI systems to provide responses informed by timely and relevant information while allowing publishers to monetise their intellectual property under agreed licensing terms. The mechanism for delivering content through Cortex Knowledge Extensions relies on retrieval-augmented generation and is underpinned by Snowflake's Zero-ETL Sharing functionality. This setup empowers publishers to revoke access to content if necessary, while always displaying clear attribution and links to the original source, thereby enhancing reliability and provenance. Alongside Cortex Knowledge Extensions, Snowflake has introduced Semantic Model Sharing, which is currently in private preview. Semantic Model Sharing allows enterprises to integrate and interact with AI-ready structured data within their Snowflake Cortex AI applications — whether the data originates from internal sources or third-party providers. The use of semantic models helps ensure consistency in how data and business concepts are defined and applied across different systems, contributing to more trustworthy and accurate AI outputs. By mapping internal data to standardised semantic models, enterprises can accelerate insights, support more uniform decision-making, and access industry-standard metrics while maintaining governance and version control. Snowflake reports that these advances are intended to eliminate the manual effort required to create semantic models internally, while supporting high-quality, context-rich, and accurate AI responses. Users can directly interact with their data using Semantic Model Sharing in Cortex AI, including Cortex Analyst, Cortex Agents, and Snowflake Intelligence. In addition to content and model sharing, Snowflake is adding support for Agentic Native Apps in its marketplace. This feature provides customers with access to third-party agentic applications, which can securely combine provider and consumer data within the enterprise's governance framework. Data remains within the customer's environment while agents perform tasks such as portfolio management and optimisation, using proprietary algorithms and datasets. Currently, Snowflake Marketplace connects enterprises with over 750 providers, offering more than 3,000 live data, application, and AI products. The introduction of Agentic Native Apps is intended to give providers new ways to distribute and monetise their offerings while allowing enterprises to drive additional value from their data without compromising privacy or security.
Scoop
5 days ago
- Business
- Scoop
Snowflake Unveils Comprehensive Product Innovations To Empower Enterprises To Achieve Full Potential Through Data And AI
Snowflake Openflow simplifies the process of getting data from where it is created to where it can be used Snowflake Standard Warehouse - Generation 2 and Snowflake Adaptive Compute deliver faster analytics performance to accelerate customer insights, without driving up costs Snowflake Intelligence allows business users to harness AI data agents to analyse, understand, and act on structured and unstructured data Snowflake Cortex AISQL embeds generative AI directly into customers' queries, empowering teams to analyse all types of data and build flexible AI pipelines with familiar SQL syntax With Cortex Knowledge Extensions, enterprises can enrich their AI apps and agents with real-time news and content from trusted third-party providers Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced several product innovations at its annual user conference, Snowflake Summit 2025, designed to revolutionise how enterprises manage, analyse, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organisations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'Today's announcements underscore the rapid pace of innovation at Snowflake in our drive to empower every enterprise to unlock its full potential through data and AI,' said Theo Hourmouzis, Senior Vice President, ANZ and ASEAN, Snowflake. 'Organisations across A/NZ are looking to take their AI projects to the next level – from testing, to production, to ultimately providing business value. Today's innovations are focused on providing them with the easiest, most connected, and most trusted data platform to do so.' Snowflake Openflow Unlocks Full Data Interoperability, Accelerating Data Movement for AI Innovation Snowflake unveiled Snowflake Openflow, a multi-modal data ingestion service that allows users to connect to virtually any data source and drive value from any data architecture. Now generally available on AWS, Openflow eliminates fragmented data stacks and manual labor by unifying various types of data and formats, enabling customers to rapidly deploy AI-powered innovations. Snowflake Openflow embraces open standards, so organisations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi™[1], an Apache Software Foundation project built to automate the flow of data between systems, Snowflake Openflow enables data engineers to build custom connectors in minutes and run them seamlessly on Snowflake's managed platform. With Snowflake Openflow, users can harness their data across the entire end-to-end data lifecycle, while adapting to evolving data standards and business demands. Hundreds of ready-to-use connectors and processors simplify and rapidly accelerate data integration from a broad range of data sources including Box, Google Ads, Microsoft Dataverse, Microsoft SharePoint, Oracle, Proofpoint, ServiceNow, Workday, Zendesk, and more, to a wide array of destinations including cloud object stores and messaging platforms, not just Snowflake. Snowflake Unveils Next Wave of Compute Innovations For Faster, More Efficient Warehouses and AI-Driven Data Governance Snowflake announced the next evolution of compute innovations that deliver faster performance, enhanced usability, and stronger price-performance value — raising the bar for modern data infrastructure. This includes Standard Warehouse – Generation 2 (Gen2) (now generally available), an enhanced version of Snowflake's virtual Standard Warehouse with next-generation hardware and additional enhancements to deliver 2.1x[2] faster analytics performance and 1.9x faster analytics performance than Managed Spark. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximising efficiency through automatic resource sizing and sharing. Warehouses created using Adaptive Compute, known as Adaptive Warehouses, accelerate performance for users without driving up costs, ultimately redefining data management in the evolving AI landscape. Snowflake Intelligence and Data Science Agent Deliver The Next Frontier of Data Agents for Enterprise AI and ML Snowflake announced Snowflake Intelligence (public preview soon), which enables technical and non-technical users alike to ask natural language questions and instantly uncover actionable insights from both structured tables and unstructured documents. Snowflake Intelligence is powered by state-of-the-art large language models from Anthropic and OpenAI, running inside the secure Snowflake perimeter, and is powered by Cortex Agents (public preview) under the hood — all delivered through an intuitive, no-code interface that helps provide transparency and explainability. Snowflake also unveiled Data Science Agent (private preview soon), an agentic companion that boosts data scientists' productivity by automating routine ML model development tasks. Data Science Agent uses Anthropic's Claude to break down problems associated with ML workflows into distinct steps, such as data analysis, data preparation, feature engineering, and training. Today, over 5,200[3] customers from companies like BlackRock, Luminate, and Penske Logistics are using Snowflake Cortex AI to transform their businesses. Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era Snowflake announced major innovations that expand on Snowflake Cortex AI, Snowflake's suite of enterprise-grade AI capabilities, empowering global organisations to modernise their data analytics for today's AI landscape. This includes SnowConvert AI, an agentic automation solution that accelerates migrations from legacy platforms to Snowflake. With SnowConvert AI, data professionals can modernise their data infrastructure faster, more cost-effectively, and with less manual effort. Once data lands in Snowflake, Cortex AISQL (now in public preview) then brings generative AI directly into customers' query engines, enabling teams to extract insights across multi-modal data and build flexible AI pipelines using SQL — all while providing bestinclass performance and cost efficiency. Snowflake Marketplace Adds Agentic Products and AI-Ready Data from Leading News, Research, and Market Data Providers Snowflake announced new agentic products on Snowflake Marketplace that accelerate agentic AI adoption across the enterprise. This includes Cortex Knowledge Extensions (generally available soon) on Snowflake Marketplace, which enables enterprises to enrich their AI apps and agents with proprietary unstructured data from third-party providers — all while allowing providers to protect their intellectual property and ensure proper attribution. Users can tap into a selection of business articles and content from The Associated Press, which will help users further enhance the usefulness of results in their AI systems. In addition, Snowflake unveiled sharing of Semantic Models (now in private preview), which allows users to easily integrate AI-ready structured data within their Snowflake Cortex AI apps and agents — both from internal teams or third-party providers like CARTO, CB Insights, Cotality™ powered by Bobsled, Deutsche Börse, IPinfo, and truestar. Learn More: Check out all the innovations and announcements coming out of Snowflake Summit 2025 on Snowflake's Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 11,000 companies around the globe, including hundreds of the world's largest, use Snowflake's AI Data Cloud to build, use, and share data, apps and AI. With Snowflake, data and AI are transformative for everyone. Learn more at (NYSE: SNOW).
Yahoo
5 days ago
- Business
- Yahoo
Snowflake retools data cloud to fuel AI agents, expand integrations
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Snowflake retooled its data cloud platform through a sweeping set of product updates targeting enterprise agentic AI adoption, the company said Tuesday during its annual Snowflake Summit event. The series of announcements came on the heels of Snowflake's Monday agreement to purchase PostgreSQL startup Crunchy Data. The AI data cloud company rolled out a hybrid multicloud data ingestion service called Snowflake Openflow, the Cortex Knowledge Extensions third-party data mining pipeline and AI-powered natural-language analytics and data science assistants under the Snowflake Intelligence and Data Science Agent rubrics. Snowflake also trumpeted the general availability of its Cortex AISQL agentic querying tool and the SnowConvert AI data modernization copilot designed to help enterprises migrate from legacy warehouses. 'We are making it easy to tap into structured data. We are making it easy to tap into unstructured data as well. And we're helping our customers build a strong foundation to lead in the era of agentic AI,' CEO Sridhar Ramaswamy said last month during the company's Q1 earnings call for the 2026 fiscal year. As enterprises seek business value from generative AI-powered agentic automation, major vendors are racing to deploy the data integrations, modernization tools and pipelines organizations need to fuel the technology. The Crunchy Data acquisition brought AI compliance and scaling capabilities in-house for Snowflake, less than a month after Databricks, a competitor in the AI data cloud space, announced its intent to purchase PostgreSQL startup Neon. 'We're doubling down on the momentum behind Postgres and investing in its future while preserving the openness, the extensibility and developer-first ethos that make it great,' Ramaswamy said during a Monday keynote. As part of its integration strategy, Snowflake connected its data cloud to The Associated Press, USA Today and several other publishers through Cortex Knowledge Extensions that let enterprises feed news and other timely data to AI apps and agents, the company said in a Tuesday announcement. The pipeline creates a marketplace for enterprises to source third-party data while ensuring publishers are compensated. Snowflake Intelligence unifies raw and structured data from spreadsheets, documents, images and databases, using Anthropic and OpenAI large language models. The integration connects the company's data cloud to Google Drive, Salesforce Data Cloud via Zero Copy, Workday and other enterprise vendor platforms, aligning security controls, data masking and governance policies. It will be in public preview soon, the company said. 'There's so much that we take for granted about how things used to work that just aren't true anymore,' Ramaswamy said, pointing to the impact of AI on the enterprise in a keynote conversation with OpenAI CEO Sam Altman. 'We'll be at a point next year where you can not only use a system to automate business processes or build these new products and services, but you can really say, 'I have this hugely important problem in my business, I will throw a ton of compute at it'… and the models will be able to go figure out things that teams of people on their own can't do,' Altman said. 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
Indian Express
5 days ago
- Business
- Indian Express
Snowflake reveals next-gen AI and data tools at annual summit to empower enterprises
AI data cloud company Snowflake, which is hosting its annual four-day Snowflake Summit in San Francisco, has made a slew of announcements related to product innovations. The latest announcements range from data engineering, compute performance, and analytics to agentic AI capabilities. With these, the company aims to break down data silos and bridge the gap between enterprise data and business action. And, all this without compromising control, simplicity, or governance. The new announcements include Snowflake OpenFlow, Snowflake Standard Warehouse – Generation 2, Snowflake Adaptive Compute, Snowflake Intelligence, Snowflake Cortex AISQL, and Cortex Knowledge Extensions. Talking about the announcements, Vijayant Rai, managing director – India, Snowflake, said, 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organisations can expect from a modern data platform.' Rai added that these innovations are focused on helping businesses make AI and machine learning workflows easier, connected, and trusted for users of all abilities by democratising access to data and eliminating the technical overhead that slows down business decision-making. Snowflake OpenFlow is a multi-modal data ingestion service that allows users to connect to virtually any data source and derive value from any data infrastructure. It is now generally available on AWS, and it eliminates fragmented data stacks and manual labour by combining various types of data and formats, allowing customers to rapidly deploy AI-powered innovations. When it comes to Snowflake Standard Warehouse – Generation 2 and Snowflake Adaptive Compute, the AI data company has introduced the next phase of compute innovations with a focus on delivering faster performance, enhanced usability, and stronger price-performance value. The Standard Warehouse – Generation 2 is now generally available and is essentially an enhanced version of Snowflake's virtual Standard Warehouse with next-gen hardware and some additional enhancements to offer exceptionally faster analytics performance. On the other hand, Snowflake Intelligence (public review soon) allows technical and non-technical users to ask questions in natural language and instantly gain actionable insights from both structured and unstructured tables or documents. The company has said that Snowflake Intelligence is powered by state-of-the-art language models from the likes of OpenAI and Anthropic, and it is backed by Cortex Agents under the hood, which is delivered through an intuitive, no-code interface that helps provide transparency and explainability. The company also introduced Data Science Agent (private preview soon), an agentic companion that enhances the productivity of data scientists by automating routine ML model development tasks. The Data Science Agent uses Anthropic's Claude to break down problems related to ML workflows into easy steps like data analysis, data preparation, feature engineering, and training. Another highlight is the Cortex AISQL and SnowConvert AI as an expansion to Snowflake Cortex AI, which is the company's suite of enterprise-grade AI capabilities. These could enable global organisations to modernise their data analytics to align with the present-day AI landscape. SnowConvert AI is an agentic automation solution that accelerates migration from legacy platforms to Snowflake. Meanwhile, Cortex AISQL brings generative AI directly into the customer's query engines, allowing teams to extract insights across multi-modal data and build a flexible AI pipeline using SQL. Among the slew of agentic products on Snowflake Marketplace are the Cortex Knowledge extensions, which allow enterprises to augment their AI apps and agents with proprietary unstructured data from third-party providers.
Techday NZ
5 days ago
- Business
- Techday NZ
Snowflake launches AI agents to ease enterprise data access
Snowflake has introduced new agentic AI features and expanded its enterprise-grade AI capabilities, aiming to enhance data analysis and machine learning (ML) workflows for businesses in Canada and worldwide. Snowflake Intelligence, set to enter public preview soon, provides business users and data professionals with a unified conversational interface driven by intelligent data agents. This development enables users to pose natural language questions and quickly access actionable insights from both structured and unstructured data. The company has also announced Data Science Agent, currently in private preview, which acts as an agentic companion designed to assist data scientists by automating routine ML model development tasks. These additions are intended to streamline AI and ML workflows, widen access to data within enterprises, and remove the technical barriers that traditionally slow business decision-making through natural language interactions within Snowflake. "AI agents are a major leap from traditional automation or chatbots, but in order to deploy them at scale, businesses need an AI-ready information ecosystem. This means enterprises must be able to unite data silos, maintain enterprise-grade security and compliance, and have easy ways to adopt and build agents. Snowflake Intelligence breaks down these barriers by democratizing the ability to extract meaningful intelligence from an organization's entire enterprise data estate — structured and unstructured data alike. This isn't just about accessing data, it's about empowering every employee to make faster, smarter decisions with all of their business context at their fingertips," Baris Gultekin, Head of AI at Snowflake, said, commenting on the evolution of AI agents. Organisations frequently face difficulties in decision-making due to fragmented data governance, separate data formats, and a lack of technical analysts. Snowflake Intelligence addresses these issues by enabling business teams and non-technical users to interact conversationally with their enterprise data, all without needing to write code. Snowflake Intelligence operates within the user's existing Snowflake environment, inheriting all established security controls, data masking, and governance policies. It consolidates data from multiple sources, including Snowflake, Box, Google Drive, Workday, and Zendesk, via Snowflake Openflow, allowing users to retrieve insights from spreadsheets, documents, images, and databases simultaneously. Data agents can create visualisations and help users act on insights through natural language prompts. The platform also provides access to external knowledge via Cortex Knowledge Extensions available on Snowflake Marketplace, with content provided by sources such as CB Insights, Packt, Stack Overflow, The Associated Press, and USA TODAY, to add further depth and context to responses. The system is powered by large language models from Anthropic and OpenAI and is built on Cortex Agents, currently in public preview. All are presented through a no-code interface that seeks to ensure transparency and explainability in the use of AI. "By integrating Claude's reasoning capabilities directly into Snowflake's platform, we're further eliminating the traditional barriers between data and insights. Business users can now have natural conversations with their enterprise data, while data scientists can automate complex ML workflows — all through simple natural language interactions. This demonstrates how Claude's advanced reasoning can democratize AI while maintaining the enterprise-grade security and governance that organizations require," Michael Gerstenhaber, VP of Product Management at Anthropic, said, highlighting the integration's potential. Snowflake Intelligence is aimed at moving organisations away from reliance on analytics teams for insights, enabling broader employee access to data. "At WHOOP, our mission is to unlock human performance and healthspan, and data is central to everything we do. Snowflake Intelligence marks a big step forward in our ability to be a data-first organisation, ensuring that all employees can access insights without relying on analytics teams as the intermediary. By eliminating the technical barriers to gleaning the insights we need for decision-making, our analytics teams can now shift from manual data retrieval tasks to more strategic, predictive, and value-generating work," Matt Luizzi, Sr. Director of Business Analytics at WHOOP, said. To support data scientists, Snowflake's Data Science Agent automates time-consuming tasks linked to ML workflows. The agent, also using Anthropic's Claude, segments ML workflow challenges into separate steps such as data analysis, preparation, feature engineering, and training. It leverages advanced reasoning, contextual understanding, and action execution to generate validated ML pipelines that can be run from a Snowflake Notebook. Users can iterate with suggested improvements or follow-ups, helping to reduce time spent on experimentation or debugging. Currently, more than 5,200 customers, including companies such as BlackRock, Luminate, and Penske Logistics, are using Snowflake Cortex AI as part of their business operations. Snowflake is introducing several new AI features, such as enhanced document processing, batch semantic search, and the new Cortex AISQL, now available in public preview, aiming to facilitate analysis of multi-modal data at scale and assist teams that may lack extensive AI engineering skills.
