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Data transformation is the process of converting data from one format to another, the “T” in ELT, or extract, load, transform, which enables organizations to get their data analytics-ready and derive insights and value from it. As companies collect more data, from disparate sources and in disparate formats, building and managing transformations has become exponentially more complex and time-consuming. The Snowflake Data Cloud includes powerful capabilities for transforming data and orchestrating data pipelines, and we partner with best-in-class providers to give customers a choice in the data transformation technologies they use. Today, we are excited to announce that Snowflake Ventures is investing in our partner, Coalesce, which offers an intuitive, low-code transformation platform for developing and managing data pipelines. The Coalesce platform is uniquely built for Snowflake. Coalesce allows data teams to build complex transformations quickly and efficiently without deep coding expertise, while still providing all the extensibility the most technical Snowflake users will need. This expands the number of users who can contribute to data projects and enhances collaboration. Coalesce automatically generates Snowflake-native SQL and supports Snowflake data engineering features such as Snowpark, Dynamic Tables, AI/ML capabilities, and more. Our investment helps Coalesce to continue providing first-class experiences for Snowflake users, including integrating closely to take advantage of the latest Data Cloud innovations. Coalesce will also lean into Snowpark Container Services and the Snowflake Native App Framework to provide a seamless user experience. With Snowflake Native Apps, customers can instantly deploy Coalesce on their Snowflake account and transact directly through Snowflake Marketplace. Our goal at Snowflake is to provide developers, data engineers, and other users with optimal choice in the tools they use to prepare and manage data. We will continue to add new transformation capabilities to the Data Cloud and look forward to working with Coalesce to provide the best possible experience for transforming data so organizations can unlock the full potential of their data. The post Snowflake Ventures Invests in Coalesce to Enable Simplified Data Transformation Development and Management Natively on the Data Cloud appeared first on Snowflake. View the full article

As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud. We’re excited to announce today that Snowflake Ventures is making an investment in Observe to significantly expand the observability experience we provide for our customers. Following the investment, Observe plans to develop best-in-class observability features that will help our customers monitor and manage their Snowflake environments even more effectively. Solutions such as out-of-the-box dashboards and new visualizations will empower developers and engineers to accelerate their work and troubleshoot problems more quickly and easily. In addition, because Observe is built on the Data Cloud, our customers will have the option to keep their observability data within their Snowflake account instead of sending it out to a third-party provider. This further simplifies and enhances their data governance by allowing them to keep more of their data within the secure environment of their Snowflake account. Observe is an example of how more companies are building and operating SaaS applications on the Data Cloud. By doing so, these companies gain access to our scalable infrastructure and powerful analytics while being able to offer a more advanced and differentiated experience to Snowflake customers. We will continue to expand the signals we provide for developers and engineers to manage, monitor and troubleshoot their workloads in the Data Cloud. Our partnerships with companies like Observe help turn signals into actionable insights that are presented in compelling and innovative ways. The post Snowflake Invests in Observe to Expand Observability in the Data Cloud appeared first on Snowflake. View the full article

Last year, we held our first Accelerate event, to explore industry trends, data and technology innovations, and data strategy case studies in financial services. This year, we are expanding to five industry events, featuring leaders in financial services; retail and consumer goods; manufacturing; media, advertising and entertainment; and healthcare and life sciences. Accelerate Financial Services and Accelerate Retail are one-day virtual events brought to you by Microsoft. Join technology and business leaders from Microsoft, Bloomberg, Goldman Sachs and more to discover executive priorities, best practices, and potential data and AI challenges that are top of mind for 2024. Why Attend Accelerate Financial Services? Accelerate Financial Services is a virtual event on March 14, 2024, starting at 11 a.m. PT/2 p.m. ET. It will explore how industry-leading organizations are building data, apps and AI strategies in the Data Cloud. Come to hear an insightful keynote and executive session, and attend deep dives featuring customer stories as well as product demos for AI use cases and apps. Agenda highlights include opportunities to: Hear from industry leaders: Rinesh Patel, Snowflake’s Global Head of Financial Services, will deliver a keynote on how the Financial Services Data Cloud will accelerate your data and AI transformation initiatives. Simplify the data foundation: Explore how you can simplify your data foundation by bringing your data together onto a single platform, enhancing security and governance controls, and thinking about connectivity and resilience. Hear directly from Sunil Mathews, VP of Enterprise Data & Analytics at Franklin Templeton, on how the asset management firm built its Integrated Data Hub on Snowflake to accelerate decision-making across the enterprise. Scale your business with applications: Hear about how industry-leading organizations are turning to Snowflake to help translate their data into business and commercial outcomes through native apps. Check out demos from Goldman Sachs and Bloomberg on the Goldman Sachs Legend and Bloomberg Data License native apps, respectively. Accelerate AI success with Snowflake: Learn how organizations are building AI strategies with cloud and enterprise data initiatives, and where Snowflake fits into this journey. Hear about the key business use cases applied with generative AI and where the industry is investing and applying this technology over the next three to five years. Join the financial services executive panel: Learn what are top priorities for financial services executives, what business and technology challenges they’re looking to solve, how they have partnered with Snowflake, and where they see the industry moving to in the future. The panel features Sean Foley, CTO of Worldwide Financial Services at Microsoft, and Spiros Giannaros, Executive Vice President, CEO and President of Charles River Development. And to learn more about the latest data and AI trends in the industry, read our new report, Data Trends 2024: Financial Services. Why Attend Accelerate Retail? Accelerate Retail is a virtual event on May 2, 2024 at 11 a.m. PT/2 p.m. ET. Agenda highlights include opportunities to: Hear from industry leaders: Prabhath Nanisetty, Industry Principal for Retail Data & Quick Commerce at Snowflake, will kick off the event with a keynote on how organizations around the globe are accelerating data and AI transformation initiatives with the Retail Data Cloud. In the executive panel session, hear directly from Rosemary DeAragon, Snowflake’s global GTM Lead for Retail and Consumer Goods, Shanthi Rajagopalan, Global Head of Strategy for Retail and Consumer Goods at Microsoft, Pat Nestor, Global Head of Analytics Products at Kraft Heinz, and Alex Izydorczyk, Founder and CEO at Cybersyn, a Snowflake affiliate, on what is top of mind in the era of data transformation and how they have partnered with Snowflake to solve today’s business challenges. Simplify the data foundation: As retail organizations look to adopt new technologies like generative AI or implement their transformation agendas, a robust enterprise data strategy is becoming more critical than ever. Trevor Kaplan, senior sales engineer at Snowflake, will delve into the data capabilities required for success, and Pat Nestor, Global Head of Analytics Products at Kraft Heinz, will share how the brand simplified their data foundation with Snowflake. Scale your business with applications: Today’s leading retail and consumer goods organizations build applications to generate insights, delight customers and optimize operations. Listen to the latest innovation enabling businesses to build, deploy and deliver value from apps, presented by Brian Stanley, senior sales engineer at Snowflake. Watch live demos from Snowflake partners Crisp, LiveRamp and Cybersyn to learn how to derive insights from data by leveraging native apps in Snowflake Marketplace. Accelerate AI success with Snowflake: Discover how organizations are building AI strategies with cloud and enterprise data initiatives, and where Snowflake fits into this transformation journey. Valentine Fontama, Senior Principal Sales Engineer, Data Science at Snowflake, will demonstrate how to build and host a large language model in Snowflake. Learn to build interactive chat applications with Snowflake, and quickly and securely bring AI to the data with Snowpark Container Services, now in public preview, and Cortex Copilot, now in private preview. About the Microsoft and Snowflake partnership Snowflake on Microsoft Azure is a best-in-class AI-powered Data Cloud with robust integration with the Microsoft cloud. The Snowflake Data Cloud on Azure provides a path to practical AI-enhanced data strategy, de-siloing and protecting enterprise data built on the Azure platform, which enables secure data mobilization for intensive workloads such as warehousing, machine learning, generative AI and app development. Snowflake on Microsoft Azure paves the way to a unified data strategy that applies AI as leverage for business goals, adding secure data collaboration, removing friction, and accelerating data migration while improving governance, development, analytics and improved customer experiences — all using your enterprise data combined with the power of Microsoft Azure. To learn more about Snowflake’s evolving partnership with Microsoft, watch this video featuring Frank Slootman, Snowflake’s Chairman and former CEO, and Satya Nadella, Microsoft’s Chairman and CEO. Ready to Accelerate? Register now to reserve your spot for Accelerate Financial Services and Accelerate Retail. Or download the new research report, Data Trends 2024: Financial Services. The post How Financial Services and Retail Companies Are Accelerating their Data, Apps and AI Strategy in the Data Cloud appeared first on Snowflake. View the full article

As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this. One of the leaders in this area is Landing AI, a company founded by globally recognized AI expert Andrew Ng. Landing AI provides an intuitive software platform that allows enterprises to leverage generative AI for computer vision technologies at scale, to uncover new insights and drive innovation from proprietary image and video data. Snowflake and Landing AI are already partners, and we’re excited to announce today that we are deepening our relationship with an investment in Landing AI. Through this next phase of partnership, customers will be able to leverage Landing AI’s computer vision capabilities natively on Snowflake via Snowpark Container Services and Snowflake Native Apps. This will enable the building of powerful, custom-built computer vision solutions that process images and videos at scale, all within the secure, governed boundary of the Data Cloud. The use cases for AI and computer vision are as varied as they are powerful. LandingLens is built from the ground up for enterprise use cases, with an intuitive workflow that allows data teams to fine-tune solutions for their specific industry needs. Manufacturers use computer vision for quality inspection, robotic assembly and defect detection. Retailers apply the technology to enable automated checkout and shelf inventory checks. The pharma industry employs computer vision for drug discovery, inspecting medications and cell analysis. In each case, computer vision and AI work in tandem to greatly increase efficiency and reduce costs. Through our investment in Landing AI, we are excited to further the promise of computer vision for our customers across industries. The post Snowflake Ventures Invests in Landing AI, Boosting Visual AI in the Data Cloud appeared first on Snowflake. View the full article