Latest news with #SnowConvertAI
Yahoo
4 days ago
- Business
- Yahoo
Snowflake (NYSE:SNOW) Unveils Major AI Innovations and Enhanced Data Integration Capabilities
Snowflake has recently captured attention with its product-related announcements, such as Cortex AI innovations and strategic partnerships, which likely bolstered its stock price by 25% over the past month. The introduction of AI enhancements like SnowConvert AI and Cortex AISQL demonstrates Snowflake's commitment to advancing data solutions, potentially enhancing investor confidence. Partnerships with Oracle and Proofpoint, along with high-profile collaborations like the LA28 Olympic Games, add to the company's robust framework. Despite broader market gains of 12% over the year, Snowflake's developments stand out, giving its shares a stronger momentum compared to the market's 2% recent climb. We've spotted 2 weaknesses for Snowflake you should be aware of. The end of cancer? These 23 emerging AI stocks are developing tech that will allow early identification of life changing diseases like cancer and Alzheimer's. Snowflake's recent product and partnership announcements have boosted investor sentiment, contributing to a 25% stock price increase within a month. These enhancements in AI and key collaborations are expected to further expand Snowflake's product adoption, potentially influencing future revenue growth. Such developments are anticipated to align with analysts' forecasts of a 23.2% annual revenue growth over the next three years, despite expectations of the company remaining unprofitable in this timeframe. As Snowflake capitalizes on these advancements, the company's revenue and operational efficiency are likely to improve margins, although competitive pressures and financial management transitions pose potential challenges. Over the longer term, Snowflake's shares have yielded a total return of 64.11% over three years, underscoring their robust performance compared to a 1-year market return of 11.9%. Interestingly, within the past year, Snowflake outperformed the US IT industry that had a 38% return. With current AI-driven initiatives and strategic alliances, Snowflake is poised for continued growth, provided these catalysts convert into realized revenue and earnings. The current share price of US$160.35, against a consensus price target of US$195.17, suggests potential upside, although investors should weigh this carefully against the forecasted earnings and market conditions. Our expertly prepared valuation report Snowflake implies its share price may be too high. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NYSE:SNOW. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Sign in to access your portfolio
Yahoo
4 days ago
- Business
- Yahoo
Snowflake (NYSE:SNOW) Unveils Major AI Innovations and Enhanced Data Integration Capabilities
Snowflake has recently captured attention with its product-related announcements, such as Cortex AI innovations and strategic partnerships, which likely bolstered its stock price by 25% over the past month. The introduction of AI enhancements like SnowConvert AI and Cortex AISQL demonstrates Snowflake's commitment to advancing data solutions, potentially enhancing investor confidence. Partnerships with Oracle and Proofpoint, along with high-profile collaborations like the LA28 Olympic Games, add to the company's robust framework. Despite broader market gains of 12% over the year, Snowflake's developments stand out, giving its shares a stronger momentum compared to the market's 2% recent climb. We've spotted 2 weaknesses for Snowflake you should be aware of. The end of cancer? These 23 emerging AI stocks are developing tech that will allow early identification of life changing diseases like cancer and Alzheimer's. Snowflake's recent product and partnership announcements have boosted investor sentiment, contributing to a 25% stock price increase within a month. These enhancements in AI and key collaborations are expected to further expand Snowflake's product adoption, potentially influencing future revenue growth. Such developments are anticipated to align with analysts' forecasts of a 23.2% annual revenue growth over the next three years, despite expectations of the company remaining unprofitable in this timeframe. As Snowflake capitalizes on these advancements, the company's revenue and operational efficiency are likely to improve margins, although competitive pressures and financial management transitions pose potential challenges. Over the longer term, Snowflake's shares have yielded a total return of 64.11% over three years, underscoring their robust performance compared to a 1-year market return of 11.9%. Interestingly, within the past year, Snowflake outperformed the US IT industry that had a 38% return. With current AI-driven initiatives and strategic alliances, Snowflake is poised for continued growth, provided these catalysts convert into realized revenue and earnings. The current share price of US$160.35, against a consensus price target of US$195.17, suggests potential upside, although investors should weigh this carefully against the forecasted earnings and market conditions. Our expertly prepared valuation report Snowflake implies its share price may be too high. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NYSE:SNOW. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@
Techday NZ
5 days ago
- Business
- Techday NZ
Snowflake unveils AI tools for data analytics, migration
Snowflake has revealed new artificial intelligence (AI) products aimed at simplifying data analytics and accelerating migration from legacy systems for organisations across Canada and globally. The company announced its expansion of enterprise-grade AI with the introduction of Cortex AISQL and SnowConvert AI, designed to enable customers to extract insights from diverse data types while reducing operational costs and complexity. Cortex AISQL incorporates generative AI directly into database queries, allowing teams to analyse and act on multiple kinds of data—ranging from structured numbers to text, images and audio—while using the SQL syntax familiar to data professionals. The solution is intended to bring what Snowflake describes as "industry-leading performance and up to 60% cost savings when filtering or joining data." Organisations such as Hex, Sigma, and TS Imagine are among those already leveraging the capabilities of Cortex AISQL. SnowConvert AI addresses a common challenge faced by enterprises: moving data from existing warehouse and analytics platforms to modern systems. The tool uses AI automation to ease migrations from providers such as Oracle, Teradata, and Google BigQuery, reducing the need for manual re-coding and lowering the risks typically associated with large-scale data projects. "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. 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," Carl Perry, Head of Analytics at Snowflake, commented on the new developments. "In capital markets, speed and precision are everything. For years, SQL has been the gold standard for transforming data — and now, with Cortex AISQL, we're extending that power to unstructured text. With AISQL, our teams can analyze documents, extract insights, and build intelligence directly in the language they already know — all without complex engineering workflows. It's a game-changer for how fast we can respond to markets and deliver value to clients, while leveraging the Snowflake architecture for high performing SQL processing," Thomas Bodenski, Chief Operating Officer of TS Imagine, said, sharing his perspective as a customer. Snowflake's Cortex AISQL harnesses generative AI—powered by models from providers such as Anthropic, Meta, Mistral, and OpenAI—to introduce advanced query functions into standard SQL. The result is that data analysts can use AI-powered functionalities within the security perimeter of the existing data cloud, without requiring specialist coding or external tools. According to Snowflake, ongoing performance optimisations have demonstrated between 30% and 70% improvements depending on the dataset, and up to 60% cost savings for certain operations. The integration enables organisations to break down traditional data silos. For example, analysts can merge structured customer data with unstructured data like chat transcripts, images, or social media content, and perform tasks including image classification, call transcript analysis and anomaly detection entirely through SQL queries. SnowConvert AI, meanwhile, is designed to make IT infrastructure upgrades more efficient, automating code conversion, report migration and data validation to streamline the transition to new platforms. By accelerating the code conversion and testing phases by two to three times, the tool is aimed at reducing the overall timeline and resource demands associated with digital transformation. Alongside these tools, Snowflake also announced updates to its platform to further support analytics on open source data formats such as Apache Iceberg tables, and launched Standard Warehouse - Generation 2, which introduces hardware and software improvements to boost analytics performance by 2.1 times over previous editions. With the introduction of these AI-powered features, Snowflake is positioning its data cloud as a central platform for enterprises seeking to modernise analytics and data handling capabilities, and to extract actionable business insights from both structured and unstructured sources.
National Post
5 days ago
- Business
- National Post
Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era
Article content Cortex AISQL embeds generative AI directly into customers' queries, empowering teams to analyze all types of data and build flexible AI-powered pipelines with familiar SQL syntax — unlocking industry-leading performance and up to 60% cost savings when filtering or joining data Leading organizations including Hex, Sigma, TS Imagine, and more are leveraging Cortex AISQL to seamlessly advance their data capabilities with AI SnowConvert AI accelerates Snowflake migrations from legacy platforms using AI-powered automation, reducing manual re-coding and lowering the risk associated with large-scale data migrations Article content Article content SAN FRANCISCO — Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, 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. Snowflake is unveiling 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' queries, enabling teams to extract insights across multi-modal data and build flexible pipelines using SQL and AI — all while providing best‑in‑class performance and cost efficiency. Article content '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 Carl Perry, Head of Analytics, Snowflake. '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.' Article content 'In capital markets, speed and precision are everything. For years, SQL has been the gold standard for transforming data — and now, with Cortex AISQL, we're extending that power to unstructured text,' said Thomas Bodenski, Chief Operating Officer, TS Imagine. 'With AISQL, our teams can analyze documents, extract insights, and build intelligence directly in the language they already know — all without complex engineering workflows. It's a game-changer for how fast we can respond to markets and deliver value to clients, while leveraging the Snowflake architecture for high performing SQL processing.' Article content Snowflake helps customers leverage generative AI through familiar SQL queries, redefining how organizations analyze data. Snowflake Cortex AI has already enabled customers to build and deploy advanced AI models, apps, and agents within the security perimeter of the AI Data Cloud. Now, Cortex AISQL marks the next leap forward by leveraging generative AI to create powerful new query capabilities, effectively turning every data analyst into an AI engineer. Cortex AISQL is powered by leading models from Anthropic, Meta, Mistral, OpenAI, and others, coupled with core functionality and performance optimizations already built directly into Snowflake's SQL engine. With Cortex AISQL performance optimizations(now in private preview), enterprises now gain performance improvements ranging from 30-70% depending on datasets, with up to 60% cost savings when filtering or joining data across thousands of records, empowering them to scale their analytics capabilities for strategic decision-making. Article content Traditionally, SQL has been limited to structured and semi-structured data, leaving analysts dependent on developers to access insights from unstructured sources. Cortex AISQL changes this by enabling teams to query all data types — from traditional rows and columns of numbers to text, images, audio, and more — all while using SQL, the universal language they already know and love for managing data. Article content By harnessing SQL with AI-powered functions in Snowflake, analysts can now readily access and analyze multi-modal data at scale, eliminating data silos, consolidating tools, and combining traditional structured data with unstructured sources. This includes enriching customer tables with chat transcripts, correlating sensor readings with inspection photos, and merging sales figures with social media sentiment — enabling analysts to classify images, extract insights from call transcripts, and detect anomalies with ease. The result is a fully integrated SQL experience across all data, unlocking deeper insights, faster decisions, and accelerated innovation without the need for specialized AI skills or external services. Cortex AISQL delivers unified intelligence across the entire organization. Article content With SnowConvert AI, Snowflake is making one of the most tedious and time-consuming parts of digital transformation — data warehouse migrations, business intelligence (BI) migrations, and ETL migrations — faster and smarter, without introducing additional risk factors. With data ecosystem migration agents powered by Snowflake Cortex AI, SnowConvert AI enables organizations to quickly and easily move from legacy data warehouses like Oracle, Teradata, Google BigQuery, and other cloud data platforms to Snowflake. Article content By automating the conversion of code, BI reports, ETL tools, and validating the converted code and migrated data efficiently, SnowConvert AI streamlines the migration process for data engineers. SnowConvert AI goes beyond just database migrations, allowing customers to migrate their entire data ecosystem, while staying seamlessly supported and without disrupting critical workflows — ultimately reducing risk, costs, and complexity at every step. Article content SnowConvert AI makes the code conversion and testing phases 2-3 times faster, significantly reducing time-to-delivery and speeding up modernization efforts. By accelerating the path to modernization, Snowflake shortens the time between intention and insight, so organizations can minimize migration timelines and start generating insights that drive results sooner. Article content Snowflake's unified approach to analytics represents a fundamental shift in how organizations analyze their data. Snowflake is also unveiling innovations to Snowflake's unified platform that enables enterprises to process all their data, including open formats like Apache Iceberg ™ tables 1, with remarkable efficiency. In addition, Snowflake announced Standard Warehouse – Generation 2 (now generally available) with next-generation hardware and software optimizations to deliver 2.1x 2 faster analytics performance and 1.9x 3 faster analytics performance than Managed Spark. Snowflake customers can now unlock faster AI-powered insights from all their data — wherever it lives. Article content 1 'Apache Iceberg' is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. 2 Snowflake improvements based on performance of core analytics workloads measured as of May 3, 2024 using Standard Warehouse and May 2, 2025 using Gen2. 3 Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark as of May 2, 2025. Article content Forward Looking Statements Article content This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake's business strategy, (ii) Snowflake's products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake's products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading 'Risk Factors' and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Article content © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). Article content Article content Article content Article content Contacts Article content Article content Article content
Business Wire
5 days ago
- Business
- Business Wire
Snowflake Introduces Cortex AISQL and SnowConvert AI: Analytics Rebuilt for the AI Era
SAN FRANCISCO--(BUSINESS WIRE)-- Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, 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. Snowflake is unveiling 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' queries, enabling teams to extract insights across multi-modal data and build flexible pipelines using SQL and AI — all while providing best‑in‑class performance and cost efficiency. "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 Carl Perry, Head of Analytics, Snowflake. "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." 'In capital markets, speed and precision are everything. For years, SQL has been the gold standard for transforming data — and now, with Cortex AISQL, we're extending that power to unstructured text,' said Thomas Bodenski, Chief Operating Officer, TS Imagine. 'With AISQL, our teams can analyze documents, extract insights, and build intelligence directly in the language they already know — all without complex engineering workflows. It's a game-changer for how fast we can respond to markets and deliver value to clients, while leveraging the Snowflake architecture for high performing SQL processing." Snowflake Provides Generative AI-Powered SQL Functions to Help Analysts Do More, Faster Snowflake helps customers leverage generative AI through familiar SQL queries, redefining how organizations analyze data. Snowflake Cortex AI has already enabled customers to build and deploy advanced AI models, apps, and agents within the security perimeter of the AI Data Cloud. Now, Cortex AISQL marks the next leap forward by leveraging generative AI to create powerful new query capabilities, effectively turning every data analyst into an AI engineer. Cortex AISQL is powered by leading models from Anthropic, Meta, Mistral, OpenAI, and others, coupled with core functionality and performance optimizations already built directly into Snowflake's SQL engine. With Cortex AISQL performance optimizations (now in private preview), enterprises now gain performance improvements ranging from 30-70% depending on datasets, with up to 60% cost savings when filtering or joining data across thousands of records, empowering them to scale their analytics capabilities for strategic decision-making. Traditionally, SQL has been limited to structured and semi-structured data, leaving analysts dependent on developers to access insights from unstructured sources. Cortex AISQL changes this by enabling teams to query all data types — from traditional rows and columns of numbers to text, images, audio, and more — all while using SQL, the universal language they already know and love for managing data. By harnessing SQL with AI-powered functions in Snowflake, analysts can now readily access and analyze multi-modal data at scale, eliminating data silos, consolidating tools, and combining traditional structured data with unstructured sources. This includes enriching customer tables with chat transcripts, correlating sensor readings with inspection photos, and merging sales figures with social media sentiment — enabling analysts to classify images, extract insights from call transcripts, and detect anomalies with ease. The result is a fully integrated SQL experience across all data, unlocking deeper insights, faster decisions, and accelerated innovation without the need for specialized AI skills or external services. Cortex AISQL delivers unified intelligence across the entire organization. Snowflake Accelerates Time to Value with AI-Powered Migrations With SnowConvert AI, Snowflake is making one of the most tedious and time-consuming parts of digital transformation — data warehouse migrations, business intelligence (BI) migrations, and ETL migrations — faster and smarter, without introducing additional risk factors. With data ecosystem migration agents powered by Snowflake Cortex AI, SnowConvert AI enables organizations to quickly and easily move from legacy data warehouses like Oracle, Teradata, Google BigQuery, and other cloud data platforms to Snowflake. By automating the conversion of code, BI reports, ETL tools, and validating the converted code and migrated data efficiently, SnowConvert AI streamlines the migration process for data engineers. SnowConvert AI goes beyond just database migrations, allowing customers to migrate their entire data ecosystem, while staying seamlessly supported and without disrupting critical workflows — ultimately reducing risk, costs, and complexity at every step. SnowConvert AI makes the code conversion and testing phases 2-3 times faster, significantly reducing time-to-delivery and speeding up modernization efforts. By accelerating the path to modernization, Snowflake shortens the time between intention and insight, so organizations can minimize migration timelines and start generating insights that drive results sooner. Global Enterprises Unlock Comprehensive Analytics Across All Data Snowflake's unified approach to analytics represents a fundamental shift in how organizations analyze their data. Snowflake is also unveiling innovations to Snowflake's unified platform that enables enterprises to process all their data, including open formats like Apache Iceberg ™ tables 1, with remarkable efficiency. In addition, Snowflake announced Standard Warehouse - Generation 2 (now generally available) with next-generation hardware and software optimizations to deliver 2.1x 2 faster analytics performance and 1.9x 3 faster analytics performance than Managed Spark. Snowflake customers can now unlock faster AI-powered insights from all their data — wherever it lives. Learn More: Dive deeper into how Snowflake Cortex AISQL is bringing the power of AI directly to data analysts in this blog post. Explore more of the ways Snowflake is expanding its analytics capabilities in this blog post. 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. 1 "Apache Iceberg' is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries. 2 Snowflake improvements based on performance of core analytics workloads measured as of May 3, 2024 using Standard Warehouse and May 2, 2025 using Gen2. 3 Performance results based on core analytics workloads on 2XL Gen2 warehouse and comparable warehouse on Managed Spark as of May 2, 2025. Forward Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake's business strategy, (ii) Snowflake's products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake's products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading 'Risk Factors' and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). 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).
