Latest news with #SnowflakeIntelligence
Yahoo
23-06-2025
- Business
- Yahoo
Snowflake Deepens AI Integration: Is the Growth Thesis Strengthening?
Snowflake SNOW is deepening its AI integration across platform layers, driving strong adoption and strengthening its competitive position in enterprise infrastructure. Latest innovations like Snowflake Intelligence and Data Science Agent, SnowConvert AI and Cortex AISQL, as well as Cortex Knowledge Extensions, are expected to help SNOW expand clientele. Currently, more than 5,200 accounts use Snowflake's AI and machine learning solutions on a weekly launch of Cortex Gen2 expands Snowflake's platform capabilities with improved analytics performance and adaptive compute to support scalable AI workloads. Openflow introduces a managed ingestion layer for structured, unstructured and streaming data-enhancing interoperability and data movement across the AI Data Cloud. These innovations are designed to accelerate developer adoption and broaden AI applications. Snowflake is leveraging these platform upgrades to drive adoption across enterprise functions. The company's partnership with Acxiom enables Real ID-based customer activation inside Snowflake's clean rooms, supporting AI-driven campaigns without data movement. Design giant Canva has adopted Snowflake's AI stack to personalize user experiences, streamline lead routing and scale global product velocity. These wins reflect the expanding relevance of SNOW's AI infrastructure across marketing, design and B2B operations. Snowflake faces rising competition from Palantir Technologies PLTR and Datadog DDOG, both of which are strengthening their AI infrastructure and enterprise data capabilities. Palantir is advancing its position through its Artificial Intelligence Platform (AIP), which enables secure deployment of large language models across regulated environments. AIP integrates governance, explainability and operational control, helping enterprises adopt AI at scale. Palantir's commercial momentum and deep presence in mission-critical sectors position it as a full-stack competitor in AI-native infrastructure. Datadog is reinforcing its developer-first model with expanded observability capabilities, including AI-driven telemetry pipelines, diagnostics and real-time alerting. Its platform supports cloud-native enterprises managing dynamic workloads and increasingly overlaps with Snowflake's AI Data Cloud stack. Datadog's continued investments in GenAI integrations and predictive analytics enhance its competitive position in enterprise-scale data environments. Snowflake shares have appreciated 37.2% year to date, outperforming the broader Zacks Computer & Technology sector's return of 0.5% and the Zacks Internet Software industry's increase of 11.3%. Image Source: Zacks Investment Research Snowflake stock is trading at a premium, with a forward 12-month Price/Sales of 14.43X compared with the industry's 5.62X. SNOW has a Value score of F. Image Source: Zacks Investment Research The Zacks Consensus Estimate for second-quarter fiscal 2026 earnings is pegged at 26 cents per share, down by a penny over the past 30 days, indicating 44.44% year-over-year growth Snowflake Inc. price-consensus-chart | Snowflake Inc. Quote The consensus mark for SNOW's fiscal 2026 earnings is pegged at $1.06 per share, which has declined by 6 cents over the past 30 days. The figure indicates a 27.71% increase year over year. Snowflake currently carries a Zacks Rank #3 (Hold). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Snowflake Inc. (SNOW) : Free Stock Analysis Report Datadog, Inc. (DDOG) : Free Stock Analysis Report Palantir Technologies Inc. (PLTR) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Business Insider
10-06-2025
- Business
- Business Insider
Snowflake Stock (SNOW) Continues to See Buy Ratings Pour In from Top Analysts
Analysts appear to have a positive view of software stock Snowflake (SNOW), as they see strong growth potential ahead. Indeed, five-star Jefferies analyst Brent Thill recently raised his price target on the stock from $220 to $250 and kept a Buy rating. While Snowflake didn't make any major announcements at its recent user conference, Jefferies noted that the company's quick innovation is driving excitement. One key example is Snowflake Intelligence, which is an early-stage product that is 'generating strong buzz' and could help the company expand its market presence. Confident Investing Starts Here: Separately, five-star analyst William Power from Baird also reiterated a Buy rating on Snowflake and pointed to several reasons for his bullish view. To begin with, the company's new Cortex/ AI product is expected to drive future growth, and Snowflake's focus on improving data access and analytics gives it an edge in today's data-driven world. At the same time, Snowflake is expanding its distribution network and strengthening its sales strategies. Another growth driver is the Gen2 Warehouses offering, which provides faster computing and better pricing. In addition, five-star Stifel Nicolaus analyst Brad Reback shared this optimism and maintained a Buy rating after the user conference. Reback noted that customers and partners are increasingly choosing Snowflake over competitors like Databricks for data science, engineering, and machine learning projects. Customers also gave very positive feedback on Snowpark, and many are excited about Openflow, which is a new tool that could remove the need for older middleware ETL platforms. Finally, Snowflake continues to lead in its core SQL business while gaining traction in newer tech. Is SNOW a Good Buy Right Now? Overall, analysts have a Strong Buy consensus rating on SNOW stock based on 34 Buys, six Holds, and zero Sells assigned in the past three months, as indicated by the graphic below. Furthermore, the average SNOW price target of $226.74 per share implies 7.6% upside potential.
Business Insider
09-06-2025
- Business
- Business Insider
Snowflake price target raised to $250 from $220 at Jefferies
Jefferies raised the firm's price target on Snowflake (SNOW) to $250 from $220 and keeps a Buy rating on the shares. The company made no major announcements at its user conference, but its innovation momentum is strong and fueling optimism, the analyst tells investors in a research note. The firm says Snowflake Intelligence is 'early but generating strong buzz and could help broaden' the company's reach. Jefferies sees potential upside to estimates. Confident Investing Starts Here:
Techday NZ
04-06-2025
- 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
04-06-2025
- 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).
