Latest news with #Openflow
Web Release
2 days ago
- Business
- Web Release
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI
Snowflake Unveils Comprehensive Product Innovations to Empower Enterprises to Achieve Their Full Potential Through Data and AI Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced several product innovations at its annual user conference, Snowflake Summit 2025 , designed to revolutionize how enterprises manage, analyze, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organizations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organizations can expect from a modern data platform,' said James Petter, Vice President, Snowflake EMEA. 'These innovations are focused on helping businesses make AI and machine learning workflows more easy, connected, and trusted for users of all abilities by democratizing access to data and eliminating the technical overhead that slows down business decision-making.' 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 organizations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi ™, 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, 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 faster analytics performance. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximizing 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 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 organizations to modernize 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 modernize 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 best?in?class 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.
Yahoo
3 days ago
- Business
- Yahoo
Quantiphi Partners with Snowflake on Snowflake Openflow Launch to Power AI Data Integration
SAN FRANCISCO, June 4, 2025 /PRNewswire/ -- Quantiphi, an AI first digital engineering company, announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, the AI Data Cloud company, to support the launch of Snowflake Openflow — a multi-modal data ingestion service that allows users to easily connect to a variety of data sources and drive value from any data architecture, revolutionizing data movement and accelerating enterprise-grade data integrations built for the AI era. Snowflake Openflow is an open, extensible, managed, multi-modal integration service that simplifies data movement between data sources and destinations for various data types, including structured, unstructured, batch and streaming. With Snowflake Openflow, enterprises can move data effortlessly and scale operations for all integration needs with confidence, all within Snowflake's easy, connected and trusted platform. "Snowflake Openflow is a game-changer for data integration, making previously trapped data accessible and usable," Quantiphi Snowflake Alliance Head Pronoy Roy said. "Together with Quantiphi's AI expertise, we are enabling our shared customers to rapidly unlock insights and foster a truly data-driven culture, turning data into a valuable business asset. Customers will be able to significantly reduce friction in integrating data sources, innovate faster and derive tangible value from the entirety of an organization's data landscape." As a longstanding Elite Partner in the Snowflake ecosystem, Quantiphi has consistently led innovation at the intersection of AI, machine learning and modern data platforms. With a proven track record of excellence and multiple accolades, Quantiphi pushes boundaries by embracing emerging technologies and delivering transformative business outcomes for the companies' shared customers. By leveraging the enhanced capabilities of Openflow and Quantiphi's built-in generative AI accelerators, Quantiphi will empower customers to build unified and intelligent data estates, streamline end-to-end ML pipelines, and productionize next-gen AI use cases at industry-leading speed. "Snowflake Openflow is changing how businesses handle their data by making it easier to connect, process, and analyze information across their organization," Snowflake Director of Product Management Saptarshi Mukherjee said. "It helps companies work with their data faster and more efficiently, while keeping it secure - allowing them to focus on using AI to get the most value from their information." As a pioneer in bringing the power of AI agents to large-scale Extract Transform Load (ETL) modernization and migration initiatives, Quantiphi brings a unique advantage of 200-plus ready-to-use utilities, human-guided agents and advanced code auto-complete features to help customers innovate with speed and precision. Coupled with Openflow's integration power, Quantiphi simplifies legacy workflows, consolidates siloed systems and rapidly operationalizes AI at scale, maximizing ROI and unlocking faster time-to-insight across the Software Development Life Cycle (SDLC). To learn more about Quantiphi, visit To learn more about Snowflake Openflow, visit the Snowflake blog here. Stay up to date on the latest news and keynotes from Snowflake Summit 2025 live or on-demand here. About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, and Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Sign in to access your portfolio
Yahoo
3 days ago
- Business
- Yahoo
Kasmo Partners with Snowflake to Support the Launch of Snowflake Openflow: Powering Data Integration for the AI Era
Kasmo's integration enables innovation, ensures compliance, and enhances customer responsiveness SAN FRANCISCO, June 4, 2025 /PRNewswire/ -- Kasmo today announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, the AI Data Cloud company, to support the launch of Snowflake Openflow — a multi-modal data ingestion service that allows users to easily connect to virtually any data source and drive value from any data architecture. With Snowflake Openflow, Kasmo and Snowflake are collaborating to revolutionize data movement with pre-built connector templates, tailored solutions and full lifecycle enablement of the platform. "Built on Snowflake's native platform, Openflow delivers AI-driven insights at unmatched speed, providing businesses with complete control and governance at scale. As a Snowflake partner with deep implementation expertise, we are excited about Openflow's ability to empower our enterprise customers to evolve from siloed systems to seamlessly integrated intelligence." — Chakrapani Kodavati, VP, Snowflake Practice, Kasmo. Snowflake Openflow is an open, extensible, managed multi-modal integration service that simplifies data movement between data sources and destinations for various data types, including structured, unstructured, batch, and streaming. With Snowflake Openflow, organizations can move data effortlessly and scale operations for all integration needs with confidence — all with Snowflake's easy, connected, and trusted platform. Kasmo is excited to be part of the Openflow launch, bringing its implementation expertise to amplify its impact. With pre-built connectors and accelerators, Kasmo is enabling seamless data onboarding into Snowflake Openflow — without requiring users to rewrite or restructure their existing pipelines. Kasmo's vision is to enable customers with faster deployment, reduced complexity, and a future-ready data architecture that supports personalization, predictive intelligence, and monetization at scale. "Snowflake Openflow is redefining what's possible in the data integration landscape. By fusing intelligent automation with enterprise-grade architecture, we're enabling organizations to break free from traditional data constraints," said Chris Child, VP of Product, Data Engineering, Snowflake. "This isn't incremental progress — it's a fundamental shift in how enterprises can activate their data. Teams can now orchestrate complex data workflows with the speed of thought, while maintaining ironclad security and compliance." To learn more about Snowflake Openflow, visit the Snowflake blog here. Stay up to date on the latest news and keynotes from Snowflake Summit 2025 live or on-demand here. Media Contact Puru Boreddy sales@ View original content: SOURCE Kasmo Digital 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
Channel Post MEA
3 days ago
- Business
- Channel Post MEA
Snowflake Introduces New Product Innovations For Data And AI
Snowflake has announced several product innovations at its annual user conference, Snowflake Summit 2025, designed to revolutionize how enterprises manage, analyze, and activate their data in the AI era. These announcements span data engineering, compute performance, analytics, and agentic AI capabilities, all aimed at helping organizations break down data silos and bridge the gap between enterprise data and business action — without sacrificing control, simplicity, or governance. 'With our latest announcements, we're showcasing how Snowflake is fundamentally redefining what organizations can expect from a modern data platform,' said James Petter, Vice President, Snowflake EMEA. 'These innovations are focused on helping businesses make AI and machine learning workflows more easy, connected, and trusted for users of all abilities by democratizing access to data and eliminating the technical overhead that slows down business decision-making.' 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 organizations can bring data integrations into a single, unified platform without vendor lock-in and with full support for architecture interoperability. Powered by Apache NiFi, 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, 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 faster analytics performance. Snowflake also introduced Snowflake Adaptive Compute (now in private preview), a new compute service that lowers the burden of resource management by maximizing 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 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 organizations to modernize 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 modernize 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 best‑in‑class 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.
Techday NZ
4 days ago
- Business
- Techday NZ
Snowflake launches Openflow to speed AI data integration
Snowflake has introduced Snowflake Openflow, a data movement service designed to facilitate data interoperability and accelerate data transfer for artificial intelligence initiatives. Snowflake Openflow allows users to connect to a wide range of data sources and architectures, streamlining the process of integrating enterprise data ecosystems with AI models, applications, and data agents directly within the Snowflake platform. The service eliminates fragmented data stacks and seeks to reduce the manual effort data teams invest in ingestion tasks. Snowflake says Openflow supports an open, extensible, and managed approach to data integration, enabling unified data management for rapid deployment of AI-powered solutions. "Snowflake Openflow dramatically simplifies data accessibility and AI readiness. We're seeing more customers adopt an AI-first data strategy, which is dependent on having access to all of your data in a single platform. With Snowflake Openflow, we're redefining what open, extensible, and managed data integration looks like, so our customers can quickly build AI-powered apps and agents without leaving their data behind," Chris Child, Vice President of Product, Data Engineering at Snowflake, said. Snowflake Openflow is powered by Apache NiFi, an open-source technology for automating the flow of data between systems. This enables engineers to develop custom connectors rapidly and operate them on Snowflake's managed platform. Ready-to-use connectors and processors allow integration from an array of data sources such as Box, Google Ads, Microsoft Dataverse, Microsoft SharePoint, Oracle, Proofpoint, Salesforce Data Cloud, ServiceNow, Workday, and Zendesk, with support for destinations that extend beyond the Snowflake platform. Customers including Irwin, Securonix, and WorkWave are planning to use these features to move and scale data in their operations, leveraging hundreds of connectors to simplify global data transfer. The platform also includes features such as dbt Projects, improved support for Apache Iceberg tables, and Snowpipe Streaming, all of which are aimed at making data engineering more collaborative and scalable. With a market opportunity estimated at USD $15 billion, Snowflake Openflow enables businesses to integrate both structured and unstructured, batch and streaming data from virtually any source, whether on-premise or in the cloud. This supports enterprises seeking to establish a single connected view of their data as they build out AI projects, without the complexity of vendor lock-in. Snowflake's additional data engineering advancements include new capabilities to support dbt Projects natively within Snowflake via a new development environment, Snowflake Workspaces. This facilitates automation, integration with git, and assistance from an AI Copilot. The company has also extended its support for semi-structured data using the VARIANT data type and added optimisations for handling file sizes and partitions, particularly benefiting those managing Apache Iceberg tables. Improvements to data streaming are also being rolled out, with Snowpipe Streaming now offering a higher throughput of up to 10 gigabytes per second and reduced latency, allowing near real-time data querying following ingestion. Several partners commented on Snowflake Openflow and their collaborations: "Our partnership with Snowflake is dedicated to empowering businesses to create exceptional customer experiences through the strategic use of their data. With Snowflake Openflow, our joint customers will be able to seamlessly integrate a wider array of rich customer insights and audience data from Adobe Experience Platform with their broader enterprise data in Snowflake. This will accelerate their ability to unlock more holistic insights and activate them with enhanced agility, powering highly personalised engagements with remarkable efficiency," Justin Merickel, Vice President for Analytics and Technology Partners at Adobe, stated. "Enterprises today face increasing pressure to unify fragmented data and make it AI-ready, and that starts with seamless, scalable integration. The strategic partnership between Box and Snowflake combines the leading platforms for both their unstructured and structured data to use the power of AI to unlock the value of their data like never before. Together, we're removing the complexity of data integrations so customers can maximise value and accelerate outcomes across the entire content lifecycle," Ben Kus, Chief Technology Officer at Box, said. "Microsoft is collaborating with Snowflake to make data from Microsoft Dataverse, Dynamics 365 apps, and Power Platform apps easily connected across enterprise data ecosystems through Snowflake Openflow. The ready-to-use connectors make data movement fast, effortless, and secure so customers can reach their full data potential to advance meaningful AI development," Nirav Shah, Corporate Vice President, Dataverse, Microsoft, commented. "Enterprises today are looking to unlock the full potential of their data, wherever it resides, to drive transformative AI initiatives. Our expanded partnership with Snowflake and the introduction of this new, high-speed connector directly addresses this need. By enhancing the interoperability and performance of data connectivity with the Snowflake AI Data Cloud, we are empowering our joint customers to accelerate their data pipelines to gain faster, more actionable insights that can truly move their businesses forward in the AI era," Jeff Pollock, Vice President of Product Management at Oracle, said. "AI has drastically increased the volume and velocity of data, making it even more imperative for enterprises to maintain full control and governance over their most valuable asset. Snowflake Openflow ensures that fully interoperable data movement is not only possible, but can be secure at the same time. Proofpoint DSPM enables customers to classify sensitive data inline within Openflow and apply Snowflake tags to it, unlocking a more complete, centralised data landscape so they can innovate confidently and securely," Amer Deeba, Group Vice President, Proofpoint DSPM group, explained. "The new integration with Snowflake Openflow represents an important enhancement in our existing Zero Copy data integration, actively dismantling these barriers. It empowers joint customers with more functionality to seamlessly and securely access and activate all their data in real time, transforming enterprise data to fuel AI-powered applications and intelligent agents across their operations," Nick Johnston, SVP of Strategic Partnerships and Business Development at Salesforce, remarked. "As AI adoption increases, there's an increasing need to eliminate data siloes through bi-directional integrations with enterprise data lakes like Snowflake. Through our partnership with Snowflake Openflow and ServiceNow's Workflow Data Network, we're eliminating data siloes so that our customers can reap the benefits of intelligent automation to better power their organisations," Amit Saxena, Vice President and General Manager, Workflow Data Fabric, ServiceNow, said. "Zendesk powers more than 10,000 AI customers worldwide, delivering real-time, personalised support at scale. Our partnership with Snowflake and the launch of Snowflake Openflow creates an unprecedented, fully-integrated data ecosystem that drives smarter insights and accelerates AI innovation across customer journeys. Together, we're defining the future of AI-powered service and helping businesses transform their customer experience through data-driven intelligence," Tim Marsden, VP of Technology Alliances at Zendesk, commented.
