No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)---- $SNOW #TheAIDataCloud--Snowflake, the AI Data Cloud company, today announced a new collaboration with U.S. Figure Skating, the national governing body for the sport in the United States, focused on advancing the organization's data and AI capabilities across business operations, athlete performance insights, and the long-term development pipeline of figure skating. "Data plays an increasingly important role in how we operate, grow and support athletes at e ...

Palantir, the first of Ives’ picks that we’re looking at, is a tech company that has been in operation since 2003, focusing its efforts on data management and analytics, and artificial intelligence . Palantir was an early developer and user of AI, its data analytic platforms and tools have long been known for integrating AI into the mix.Ives doesn’t pull his punches, and based on that stance, he is recommending that investors buy into two big names in data analysis software: Palantir (NASDAQ:PLTR) and Snowf ...

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 12,600 customers around the globe, including hundreds of the world's largest companies, use Snowflake's AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW). No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud c ...

No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it will release its financial results for the fourth quarter and full year of fiscal year 2026, which ended January 31, 2026, following the close of the U.S. markets on Wednesday, February 25, 2026. Snowflake will host a conference call to discuss the financial results. Conference Call Details An audio replay of the conference call and webcast will be available two hours after its completion a ...

Core Insights - Itron, Inc. (ITRI) has partnered with Snowflake to transform utility and city operations in energy and water networks through advanced data analytics and grid intelligence [1][9] Group 1: Collaboration and Solutions - The collaboration focuses on Itron's Grid Planning solution, which utilizes Snowflake's data platform to enhance utility planning and operations, providing accurate data and advanced forecasting capabilities [3][4] - Itron's Grid Planning solution features Powerflow, an innovative system capable of 8,760-hour load forecasting, allowing utilities to identify capacity constraints and improve reliability [3][4] Group 2: Market Dynamics and Challenges - The rise of distributed energy resources (DERs) like solar panels and electric vehicles has complicated power grid management, necessitating advanced analytics and computing power to handle demand fluctuations [2] - Traditional planning tools are inadequate for the complexities of modern, decentralized energy systems, highlighting the need for Itron's advanced solutions [2] Group 3: Strategic Benefits and Features - The partnership offers utilities scalable performance, security, compliance, and cost transparency through usage-based pricing and real-time monitoring [4] - Utilities benefit from operational flexibility with cloud-agnostic deployment and access to AI-driven analytics for predictive maintenance and real-time grid optimization [4] Group 4: Global Rollout and Future Developments - Itron's Grid Planning solution is being rolled out globally, with certain modules already available and others expected to launch by 2026 [5][9] - The full solution operates on Snowflake's AI Data Cloud, ensuring seamless deployment across major cloud providers [5] Group 5: Strategic Acquisitions - Itron is strengthening its capabilities through strategic acquisitions, including the planned purchase of Locusview for $525 million and Urbint for $325 million, aimed at enhancing its grid intelligence and safety analytics [7][8]

Core Insights - Snowflake plans to acquire Observe to enhance its AI-driven observability capabilities, focusing on open standards tailored for AI enterprises [1][2] - The acquisition aims to integrate Observe's observability platform with Snowflake's AI Data Cloud, promising to resolve production issues up to 10 times faster than traditional reactive monitoring [3] Group 1 - The definitive agreement for the acquisition has been signed, with the closing subject to customary conditions [2] - The combined solution will provide enterprises with agentic AI for quicker troubleshooting, an open-standard architecture for scalability, and efficient telemetry data retention [3] - Snowflake's CEO emphasized the importance of reliability as a business imperative, stating that the integration will empower customers to manage observability across vast amounts of telemetry data [4] Group 2 - Observe's CEO noted that the merger will accelerate the observability solution at an enterprise scale, addressing the complexities of operating and troubleshooting production systems [4] - The collaboration is expected to deliver faster insights, improved reliability, and better economic efficiency for enterprises running next-generation AI applications [5] - Snowflake's previous acquisition of Crunchy Data in June aimed to enhance its AI capabilities by adding open-source Postgres technology to its AI Data Cloud [6]

Core Insights - Snowflake's BUILD event represents a significant platform for discussing cloud architecture, large-scale parallel computing, and data processing in the Data + AI field [3][4] - The introduction of BUILD in China signifies the integration of international technology with the local developer ecosystem, highlighting the importance of Chinese developers in global innovation [5] Group 1: Event Overview - The BUILD event is a tribute to the core developer activity of building, evolving into a leading platform for cloud and data discussions [3] - BUILD is not just a conference name; it symbolizes extreme performance and limitless scalability in the Data + AI sector [4] Group 2: Developer Empowerment - The event showcases practical cases from top global experts, focusing on topics like Agentic AI and multi-modal data processing, providing developers with insights from concept to prototype [7] - BUILD aims to accelerate the transition from development to production for Chinese developers, offering tailored solutions for various application scenarios [7] Group 3: Future Engagement - The upcoming BUILD 2025 event will further engage the Chinese technical community, providing insights into how Snowflake empowers business growth in the AI era [9] - Snowflake's AI data cloud is already utilized by 766 of the Fortune Global 2000 companies, indicating its significant role in helping businesses innovate and derive value from data [10]

Core Insights - C3.ai, Inc. is transitioning to a new phase of commercial execution, focusing on Initial Production Deployments (IPDs) as the main driver for sales reset [1] - The company is emphasizing smaller, high-impact deployments that demonstrate measurable economic value before scaling [1][5] - Management is tightening execution standards around IPDs to improve conversion outcomes and align deployments with economic objectives [3][10] IPD Activity and Strategy - In fiscal Q2 2026, C3.ai signed 20 new IPDs, including six generative AI IPDs, bringing the total to 394, with 269 currently active [2][9] - IPDs serve as a proving ground for customers to validate outcomes and build confidence for broader rollouts, as seen with major accounts like GSK, Dow, and Holcim [2] - The company is absorbing near-term margin pressure to enhance IPD execution and long-term conversions [9] Financial Implications - The shift to an IPD-led approach has led to moderated gross margins due to higher upfront costs and a heavier services component [4] - Management views this margin impact as a trade-off for prioritizing conversion quality and long-term customer value over immediate margin expansion [4] Competitive Landscape - C3.ai's IPD-centric approach contrasts with competitors like Palantir, which emphasizes rapid production deployments, and Snowflake, which focuses on consumption-based expansion [6][7][8] - C3.ai's strategy is positioned between these two, focusing on smaller deployments with explicit objectives to improve conversion quality and reduce execution risk [9][10] Stock Performance and Valuation - C3.ai shares have declined 21.5% over the past three months, compared to a 3.1% decline in the industry [11] - The company trades at a forward price-to-sales ratio of 6.03, significantly below the industry average of 16.47 [14] - The Zacks Consensus Estimate for fiscal 2026 earnings per share implies a year-over-year decline of 195.1%, although estimates have increased in the past 60 days [15]

Core Viewpoint - Snowflake, Inc. reported strong adjusted free cash flow (FCF) and maintained its 25% FCF margin guidance for the full fiscal year, which could lead to a 22% higher price target for its stock at $276.49 per share [1]. Financial Performance - For fiscal Q3 ended October 31, Snowflake achieved a 29% year-over-year revenue growth and a 57% increase in adjusted free cash flow [4]. - The trailing 12-month adjusted FCF was $833.5 million, representing 19% of the $4,387 million trailing 12-month revenue, which is below the management's guidance of 25% [5]. Future Projections - Analysts forecast Q4 sales of $1.26 billion, and assuming a 42% adjusted FCF margin, the projected full-year adjusted FCF would be $939.66 million, resulting in a 20.2% adjusted FCF margin, which is still below the 25% guidance [7]. - The historical Q4 margins have been high, with last year's margin at 43% of sales, suggesting potential for meeting the 25% guidance if client renewals are strong [5].

Core Insights - Snowflake's shares have increased nearly 50% this year, but there was a decline after Q3 results due to slowing product revenue growth from 32% to 29% and guidance indicating further deceleration in Q4 [2][9] - The company is transforming from a Cloud Data Warehouse to a comprehensive AI Data Cloud, positioning itself as a key player in the enterprise AI stack [3][9] Revenue and Growth - Snowflake is addressing the challenge of delivering high-quality, governed data to AI models through its Cortex AI and Snowpark Container Services, which allow execution of AI tools directly at the data location [5] - The company’s consumption-based billing structure means that as businesses increase their AI queries and models, revenue rises correspondingly, which is crucial for long-term growth [10] Technology and Innovation - The transition to "zero-copy data processing" enhances efficiency for AI by minimizing data movement and creating substantial switching costs for customers [6] - Snowflake aims to become an "enterprise app store" through its Native App Framework, allowing developers to create and sell AI-based software directly within Snowflake accounts, fostering a network effect [7] Strategic Developments - Snowflake Intelligence, the firm's enterprise AI agent, has seen rapid adoption, providing users with a natural-language interface to query data and automate decisions, thus broadening the user base and complicating switching to other platforms [8] - Despite decelerating growth, margins may improve as the company develops more AI tools and applications, with earnings expected to increase by over 35% next year [9][10] Market Position and Competition - Snowflake is well-positioned to benefit from the rise in enterprise AI workloads, but faces substantial competition from Databricks and major cloud providers [9] - The valuation of Snowflake leaves limited room for error, indicating a cautious approach for valuation-conscious investors [11]