As you probably know, AI is already redefining the world economy from financial services to healthcare to automotive, energy, manufacturing, public sector. We are really starting to see great new AI applications come and this is all in partnerships with Nvidia, our great partner who has been pushing us on the envelope of innovation. So what we are talking about here is yes we've been here for many years 27 years in fact but the last 10 years has been amazing in 2015 almost 10 years ago we were supercharging ...

Core Insights - Data governance is often viewed as an ancillary project rather than a core component of data initiatives, leading to questions about its actual value in the short to medium term [1] - The shift from centralized management to a more decentralized approach in data governance has been driven by advancements in low-cost storage, cloud computing, and artificial intelligence [2] - The need for seamless access to accurate data through various means has led to the rapid adoption of data mesh architecture, which emphasizes business ownership over data rather than IT [2] - Successful data governance now requires a shift in strategy for technical project managers, focusing on business initiatives and mapping them to data products [2][3] - The integration of data governance with business objectives is essential for achieving effective outcomes and realizing short-term benefits [3][4] Summary by Sections - **Data Governance Perception**: Traditionally seen as a supplementary function, data governance lacks immediate value perception, leading to its relegation in overall data strategy [1] - **Evolution of Data Governance**: The last decade has seen a transition to decentralized data governance models, driven by technological advancements and the need for diverse data access [2] - **Decentralized Data Mesh**: The data mesh architecture promotes business department ownership of data, enhancing understanding, traceability, and interoperability [2] - **Strategic Shift for Implementation**: Technical project managers are encouraged to adopt a right-to-left approach, prioritizing business stakeholder involvement in data governance initiatives [2][3] - **Business Alignment**: Effective data governance must align closely with business goals to be successful, moving away from fragmented approaches [3][4] - **Implementation Roadmap**: A viable roadmap for building a business-oriented decentralized data governance framework is suggested [5][6] - **Frequent Value Realization**: The focus is on achieving business value and data governance goals frequently in the short term, contrasting with traditional methods that aim for one-time achievements [8]

通过整合Trino、Cloudera SDX和Cloudera Octopai数据追溯能力，Cloudera助力企业实现任意位置数据的无缝访问与管控，实现工作流程自动化并提升效率。加利福尼亚州圣克拉拉, Nov. 20, 2025 (GLOBE NEWSWIRE) -- Cloudera作为唯一一家在任何地方都能将人工智能应用于数据的公司，今日宣布推出重大平台更新，该更新集成了Trino、Cloudera共享数据体验（SDX）以及Cloudera Octopai数据追溯能力，旨在为整个数据资产提供统一的数据访问、控制、更智能的治理以及追溯能力。 借助人工智能驱动的自动化与智能能力，企业如今可无缝发现、治理并访问位于任何位置的全部数据 随着企业加速推进人工智能项目，数据可访问性仍是取得成功的关键障碍。 近期调查显示，仅9%的IT领导者表示其所有数据可供使用，仅38%称大部分数据可用于人工智能。 对多数组织而言，数据常被困于分散的系统，治理与安全策略支离破碎。 此次更新使组织能够统一数据孤岛、安全启用自助访问，实现治理流程自动化，在无需移动数据的前提下提升效率与可信度。 借助Trino的联盟架构能力，企业可使用自 ...

This story was originally published on CFO.com. To receive daily news and insights, subscribe to our free daily CFO.com newsletter. The 2025 Finance and Accounting Technology Expo last week brought together CFOs, technology leaders, finance decision makers and technology providers for two days of discussions on modernization, data governance, AI adoption and the evolving finance tech stack. Held at the Javits Center in New York City on Nov. 13 and 14, the event mixed mainstage sessions with hands-on demos ...

Core Insights - VCI Global Limited has announced a special dividend of 10% of its cybersecurity and AI subsidiary, V Gallant Limited, to be distributed to all shareholders, marking a strategic move towards unlocking value ahead of V Gallant's planned Nasdaq IPO [1][2][3] Group 1: Dividend Announcement - The special dividend will be distributed on a pro rata basis to all VCIG shareholders, representing a 10% equity interest in V Gallant [1][4] - The record date for the dividend distribution will be announced after administrative procedures are completed, with confirmation expected within 7-14 days [4] Group 2: Strategic Rationale - The distribution aims to broaden shareholder participation in V Gallant, reduce corporate concentration, and enhance trading liquidity, aligning long-term interests across both entities [2][6] - This move is part of VCI Global's value-unlocking strategy as V Gallant prepares for its Nasdaq carve-out IPO, which is projected to have a nine-figure valuation based on internal estimates and market comparables [2][5] Group 3: V Gallant's Positioning - V Gallant is recognized as one of VCI Global's fastest-scaling technology units, focusing on cybersecurity and AI solutions for enterprises and government organizations [3][7] - The company is advancing through key preparatory milestones for its IPO, including audit completion, valuation review, and engagement with institutional investors [5][6]

What does AI need to do to deliver real economic value. Let's talk about it with Charles Sansbury, the CEO of Cloudera, who is here with us in studio for a video brought to you by Cloudera. Charles, great to see you.How are you. >> Great to see you and thanks for having me. >> Thanks for being here.We've been talking on the show so much about the economic value of artificial intelligence. Um whether or not there there will be an ROI on this technology. >> I'm so happy to be speaking with you today because y ...

Core Insights - The integration of artificial intelligence into business processes necessitates CFOs to closely monitor the data that informs AI models for effective scenario planning and forecasting [1][3] Group 1: Importance of Data Governance - CFOs should apply the same level of audit discipline to data as they do to financials, viewing data as a financial asset [2] - Privacy and data trust are essential governance mechanisms that protect and enhance the value of data assets [2] Group 2: AI Integration and Challenges - CFOs are enthusiastic about AI's potential benefits, such as improved forecasting and reduced financial close times [3] - A significant challenge is that enthusiasm for AI often exceeds the maturity of the data being used, leading to a lack of trust in the data [4] Group 3: Data Quality and Operational Impact - Untrustworthy or unclear data can lead to operational issues, such as distorted forecasts and increased material and reputational risks [5] - Ensuring clean data is crucial for CFOs, as strategies depend on accuracy, predictability, and risk mitigation [5]

Core Points - Reddit has filed a lawsuit against Perplexity AI and three data scraping firms for unauthorized harvesting of its content [1][3] - The lawsuit highlights the increasing tensions between online platforms and AI developers regarding data usage [1][4] Company Actions - The lawsuit names Perplexity AI, Oxylabs UAB, AWMProxy, and SerpApi as defendants, accusing them of collecting and reselling Reddit data without consent [3] - Reddit's Chief Legal Officer stated that the lawsuit reflects a broader challenge in the industry, emphasizing the competition for high-quality human-generated text [4] Industry Context - Reddit's data has become essential for training generative AI models, with the company already having paid licensing agreements with OpenAI and Google [5] - The lawsuit is part of Reddit's strategy to assert ownership over its data amid the AI industry's demand for training resources [6] Legal Implications - The case could set a precedent for how U.S. courts interpret the legality of web-scraped content used in AI model training [7] - Legal experts suggest that this lawsuit is part of a larger trend of disputes that are shaping data governance and compliance in the tech industry [7]

Summary of NetApp Insight 2025 Conference Call Company Overview - **Company**: NetApp (NasdaqGS: NTAP) - **Event**: Insight 2025 Conference - **Date**: October 14, 2025 Key Industry Insights AI and Technology Trends - The emergence of AI has transformed all businesses into technology-driven entities, with a significant focus on leveraging data for operational improvements [8][9][10] - Companies are increasingly interested in utilizing AI for enhancing sales pipelines and adapting to regulatory changes in the financial sector [11][12] - The advancements in hardware, particularly by companies like NVIDIA, have facilitated a rapid increase in AI capabilities [14][15] Virtualization and Cloud Strategies - There is a notable shift towards prioritizing on-premises workloads, influenced by data sovereignty concerns and the desire for control over data [20][21] - The acquisition of VMware by Broadcom has led to a strategic focus on on-prem solutions, contrasting the previous trend of cloud migration [16][17] - The virtualization landscape is evolving with the rise of containerization and new alternatives like Proxmox gaining traction [22][23][24] Storage Solutions - The resurgence of block storage is attributed to improvements in protocols and networking, particularly with NVMe technologies [41][42][43] - The demand for low-latency and high-reliability storage solutions is increasing, especially for tier one workloads [42][43] - NetApp's ONTAP system is being positioned as a comprehensive solution for various workloads, emphasizing the importance of performance and capacity [71][73] Product Developments - NetApp has consolidated its licensing into ONTAP One, streamlining access to various features like backup, data protection, and cyber resilience [32][34] - The introduction of proactive ransomware detection capabilities within ONTAP is highlighted as a unique offering in the industry [35][36] Market Dynamics - The consumer technology growth is driving enterprise data demands, with an explosion of data from various devices and services [47][48][49] - The integration of AI into consumer products is expected to influence enterprise solutions, leading to more customized experiences and data utilization [48][49] Future Outlook - The conference anticipates significant advancements in AI and machine learning, with expectations for more integrated and user-friendly systems in the coming years [58][59] - The potential for operating systems to incorporate AI functionalities is discussed, suggesting a future where AI becomes a standard feature across platforms [52][54] Additional Notes - The conference emphasizes the importance of understanding data and its implications for businesses, highlighting NetApp's long-standing commitment to innovation in data management [120][121] - The event serves as a platform for showcasing new technologies and strategies that align with current market needs and future trends [118][119]

Core Insights - Cloudera has announced updates to its platform, focusing on the Cloudera Iceberg REST Catalog and Cloudera Lakehouse Optimizer, enhancing its commitment to providing the best open data lakehouse based on Iceberg technology [1][2] Cloudera Iceberg REST Catalog - Cloudera is the first and only vendor to integrate Iceberg REST Catalog into a full lifecycle data and AI platform, enabling secure, zero-copy data sharing and unified governance across any cloud environment or data center [2][3] - The new service allows third-party engines to access Cloudera-managed data without the need for data copying or movement, ensuring consistent policy enforcement and metadata intelligence [2][3] - Customers using Iceberg can connect seamlessly with leading analytics and AI engines such as Snowflake, Databricks, AWS Athena, AWS EMR, and Salesforce, while achieving ACID compliance and unified access policies [3] Cloudera Lakehouse Optimizer - The Cloudera Lakehouse Optimizer is a new intelligent service that automates optimization and list maintenance for Apache Iceberg within Cloudera's lakehouse [4] - This service eliminates the need for manual data management tasks, allowing customers to focus on deriving insights from data, and is applicable to any public cloud with Iceberg-compatible engines [4] - Internal benchmarks indicate that the service can enhance query performance by up to 13 times and reduce storage costs by 36% [4] Company Commitment - Cloudera's Chief Product Officer emphasized the company's role as a pioneer in the big data industry, continuously investing in Apache Iceberg to enhance its enterprise application capabilities [5] - The updates reflect Cloudera's commitment to providing flexible, scalable insights at critical times and locations, earning the trust of top global enterprises [5] Availability - The Cloudera Data Sharing powered by Iceberg REST Catalog and Cloudera Lakehouse Optimizer are now fully launched [6]