How do we take what a nation is already good at whether that's making cars whether that's building energy systems whatever it is and really put that on steroids like just turbocharge that with AI both those things come into play and then what's in common in terms of solutions that DDM provide is security the ability to deploy fast at large scale within different nations that means global support global management global integration with our NVIDIA partners and And finally, secure data sharing. ...

Core Insights - The quality and quantity of data are crucial for the depth and intelligence of the financial industry [2] - There are three main shortcomings in data sharing across the country: fragmented public data, immature data sharing models between data-rich entities and financial institutions, and insufficient development of behavioral data applications [2] - A comprehensive financial database should be built based on five interconnected dimensions: sufficient public and non-public data, complete transaction and behavioral data, quality-assured structured and unstructured data, accurate periodic data, and specialized multi-dimensional and multi-modal data [2] - Zhejiang and Hangzhou are leading in creating a data environment that serves as a national benchmark for data sharing [2] Future Outlook - Over the next five years, a technologically advanced, functionally complete, and secure digital financial ecosystem is expected to take shape in China [3] - This ecosystem will include localized financial models and applications extending to small financial institutions, with a focus on self-controlled operating systems [3] - National and enterprise-level computing and data centers will be established to meet domestic needs, ensuring robust hardware support [3] - Financial intelligent agents and smart financial apps will enhance user experience by providing secure links, compliant services, timely information, and personalized support [3]

The US State Department has prepared templates for new bilateral health agreements that would give Washington expanded oversight of disease surveillance, outbreak reporting and data sharing https://t.co/JijOryaf0h ...

Core Insights - The collaboration between Snowflake and SAP aims to enhance industry collaboration and standardization through the Open Semantic Interchange initiative [3][4] - The integration allows SAP Business Data Cloud customers to access Snowflake's AI and data capabilities, while Snowflake customers can utilize SAP's data products [5][9] - SAP's cloud revenue increased by 22% in Q3 2025, indicating strong performance and a focus on AI agent development [7] Group 1 - The Open Semantic Interchange initiative seeks to create a vendor-neutral framework for sharing semantic metadata across platforms [3] - Major companies like BNY, Colgate-Palmolive, Walmart, and PepsiCo are implementing AI agents to enhance business objectives [4] - The integration is designed to simplify data sharing and enhance the development of AI applications [9] Group 2 - The partnership combines SAP's expertise in business applications with Snowflake's modern data platform to provide a unified experience [6] - The collaboration is expected to empower customers with greater openness and choice in data management [5] - Snowflake introduced new developer tools to assist enterprises in building and deploying AI applications [9]

Chainlink's AI-powered communications tool shows promise at streamlining corporate actions, data sharing globally https://t.co/QaMx0qdNJD ...

lighter数据分享全网地址71496，较上周增加4901个地址上周交易量：41亿/本周交易量：53亿上周TVL：3.2亿/本周TVL：3.6亿上周持仓量：6.3亿u/本周持仓量：6.4亿 ...

Core Viewpoint - Meta's leadership, including CEO Mark Zuckerberg and former COO Sheryl Sandberg, is facing a trial in Delaware regarding allegations of violating a privacy agreement, potentially resulting in $8 billion in damages due to the Cambridge Analytica scandal [1][11]. Summary by Sections Background of the Lawsuit - Facebook shareholders initiated a lawsuit in 2018, claiming that the company's leadership knowingly breached an agreement with the Federal Trade Commission (FTC) by sharing user data with third-party apps without user consent [3][5]. - The lawsuit highlights that Facebook, rebranded as Meta in 2021, had signed a consent order with the FTC in 2012, committing to a comprehensive privacy program [3][4]. Allegations Against Leadership - Plaintiffs allege that Zuckerberg, Sandberg, and other executives failed to comply with the FTC agreement, allowing third-party apps to collect data about users' friends without their consent [5][6]. - The Cambridge Analytica scandal, where millions of users' data was misused, is cited as a significant example of this non-compliance [6][12]. Key Players Involved - The lawsuit names several defendants, including Zuckerberg, Sandberg, and board members like Marc Andreessen, Peter Thiel, and Reed Hastings, who allegedly knew about the violations [9][10]. - Other notable figures include former White House chiefs of staff and various board members who were aware of the non-compliance [9][10]. Trial Details - The trial is set to last for eight days in Delaware Chancery Court, with no jury present; the judge will deliver the verdict [8]. - Key testimonies are expected from the defendants, including Zuckerberg and Sandberg [8]. Financial Implications - Shareholders are seeking $8 billion in damages, reflecting the costs incurred by Facebook due to the alleged unlawful activities of its leaders [11]. - The lawsuit also mentions a $5 billion settlement with the FTC in 2019, which the plaintiffs argue was excessively high to protect Zuckerberg from legal liability [12]. Defense Arguments - Defendants deny any wrongdoing, asserting that Facebook worked effectively to comply with the 2012 FTC order and that their data-sharing agreements did not violate it [13]. - They argue that Zuckerberg's stock sales were lawful and aimed at funding charitable efforts, not indicative of knowledge of non-compliance [13]. Notable Facts - Sandberg has faced court sanctions for allegedly deleting emails relevant to the lawsuit, complicating her defense [15]. - The Cambridge Analytica scandal involved the misuse of data from approximately 30 million people, raising significant privacy concerns and leading to multiple investigations and legal actions against Facebook [16].

Financial Data and Key Metrics Changes - Product revenue for Q4 was $943 million, representing a 28% year-over-year increase [11] - Remaining performance obligations totaled $6.9 billion, with a year-over-year growth of 33% [12] - Net revenue retention was reported at 126% [12] - Non-GAAP operating margin increased to 9% in Q4, while non-GAAP adjusted free cash flow margin was 43% [12][37] - For FY '25, product revenue grew 30% year-over-year to reach $3.5 billion [32] Business Line Data and Key Metrics Changes - New products, particularly Snowpark, contributed 3% of FY '25 product revenues, indicating strong adoption of new data engineering and AI features [32] - Technology customers outperformed, while financial services remained the top vertical [33] Market Data and Key Metrics Changes - EMEA was identified as a source of strength in Q4 [33] - Several large customers ran out of capacity before their contract end date, indicating strong consumption patterns [34] Company Strategy and Development Direction - The company aims to deliver the world's best end-to-end data platform powered by AI, focusing on operational rigor and efficiency while investing in growth [9][10] - The company is expanding its product offerings, including new connectors and capabilities for data integration and collaboration [27] - The focus on AI and machine learning is expected to drive future growth, with over 4,000 customers using AI and ML technology weekly [25] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's strong core business and the potential for new product features to contribute to growth in the second half of FY '26 [40][41] - The company anticipates stable growth within its core business, with new product features expected to enhance year-over-year growth rates [40] Other Important Information - The company plans to host an Investor Day in conjunction with its Summit conference in June 2026 [42] - The CFO announced plans to retire once a successor is in place, indicating a transition in leadership [44] Q&A Session Summary Question: Insights on large customers exhausting commitments - Management expects large customers to sign new commitments after exhausting their capacity, which is a common occurrence [50][52] Question: Adoption trends within the data engineering portfolio - Management noted robust adoption of technologies like Snowpark and emphasized the importance of new product features in driving customer engagement [56][58] Question: Interpretation of recent partnerships in the data space - Management highlighted the importance of partnerships with companies like ServiceNow and Salesforce, emphasizing the value of data integration and customer choice [67][72] Question: Adjacent opportunities for the company's offerings - Management acknowledged the significance of streaming and ingestion as critical areas for investment and development [82][84] Question: Guidance for the upcoming year - Management expressed confidence in the guidance provided, indicating that it reflects a thoughtful approach to revenue expectations [88][130]