近日，联想凌拓科技有限公司（以下简称"联想凌拓"）举办"智存·智变"技术大会（INSIGHT CHINA 2025），系统阐述了联想凌拓如何通过创新架构与本土化实践，助力中国企业跨越AI落地的五大挑 战，将数据从静态的"容器"转变为驱动业务变革的"智能引擎"。 来源：环球网 【环球网科技报道 记者 林迪】随着国家对人工智能、算力基础设施及数据要素市场的持续投 入，"AI+"正从技术概念走向千行百业的真实场景。在人工智能技术从单点突破迈向全产业生态化发展 的关键节点，数据基础设施的智能化水平直接决定着AI技术赋能产业的高度，这也揭示了，在AI时 代，底层数据管理能力已成为制约上层应用创新的关键瓶颈。 期间，记者就AI就绪、数据基础设施和价值生态建设等话题专访了联想凌拓首席执行官杨旭。 联想凌拓首席执行官 杨旭 "政府政策的引导核心在于利用AI技术切实推动现有业务向更创新、更高效的方向演进。" 杨旭强调， 联想凌拓的定位不仅是技术供应商，更是"AI引路人"，致力于帮助客户克服从数据准备到模型部署全过 程中的障碍，实现真正的业务价值转化。 破局之道：直面AI落地的五大挑战 企业AI转型之路并非坦途。在深入走访客户后 ...

Hey guys, uh my name is Omar. I'm just going to give a brief overview of u what I see is important, where do we think we're going. And my job basically is to just work as closely as possible with you guys who are our customers to make sure that we build the best products possible.And then I'm going to invite the really smart people, Dr. . Jameskumer and Swen who can come up and take a deep dive into some of the exciting technologies that we're building. So with that um I won't spend too much time on this ch ...

Financial Data and Key Metrics Changes - Revenue for Q3 FY26 was $964 million, representing a 16% year-over-year growth, while operating profit grew 17% year-over-year to $196 million, achieving an operating margin of 20.3% [19][24] - Total gross margin increased to 74.1%, with subscription services gross margin at 75.5% and product gross margin at 72.9% [23][24] - Annual recurring revenue (ARR) grew 17% to $1.8 billion, and total remaining performance obligations (RPO) increased 24% to $2.9 billion [22] Business Line Data and Key Metrics Changes - Product revenue reached $534 million, growing 18% year-over-year, while subscription services revenue was $430 million, up 14% year-over-year, accounting for 45% of total revenue [22] - Total contract value (TCV) sales for storage as a service offerings grew 25% year-over-year to $120 million [22] - The number of customers deploying the Pure Fusion capability has more than tripled since the beginning of the year, indicating strong market demand [7] Market Data and Key Metrics Changes - U.S. revenue was $683 million, growing 22%, while international revenue was $281 million, growing 4% year-over-year [23] - The company added 258 new customers, increasing its penetration of the Fortune 500 to 63% [23] Company Strategy and Development Direction - The company aims to capitalize on the financial benefits from hyperscaler revenues to make significant investments in R&D and sales and marketing to sustain momentum and capture additional profitable growth opportunities [26][28] - The introduction of the Enterprise Data Cloud is expected to enhance customer engagement and drive demand for storage architectures [9][10] - The company is exploring new business model options for hyperscaler engagements that may alter gross margin economics in FY27 [28][72] Management's Comments on Operating Environment and Future Outlook - Management anticipates increased commodity pricing and excess demand will pressure global supply chains, but the company is well-prepared with a resilient supply chain and strong business continuity plans [16] - The company expects revenue for Q4 FY26 to be in the range of $1.02-$1.04 billion, representing approximately a 17.1% year-over-year increase at the midpoint [25] - Management remains optimistic about the growth trajectory, emphasizing that operating profit is expected to grow significantly in FY26 and beyond [80] Other Important Information - The company welcomed Pat Finn as the new Chief Revenue Officer, bringing extensive experience in scaling sales and go-to-market organizations [17] - The company has a strong balance sheet with $1.5 billion in cash and investments, and generated $53 million of free cash flow in Q3 [24] Q&A Session Summary Question: Impact of memory price inflation on margins and revenue - Management explained that commodity pricing affects overall market pricing, and higher prices could lead to increased revenue, although gross margins may remain stable [33] Question: Increase in inventory and its implications - Management noted that the inventory increase was due to strategic purchases and tariff mitigation, and overall inventory levels remain low compared to business size [40] Question: Product gross margin sustainability - Management indicated that higher-end product sales and Portworx license purchases contributed positively to gross margins, and they expect to maintain strong margins moving forward [46] Question: Feedback on Enterprise Data Cloud - Early feedback has been positive, with significant demand for the new cloud-native offerings, indicating a shift in customer engagement [51] Question: Engagements with hyperscalers - Management confirmed ongoing engagements with top hyperscalers and multiple proofs of concept, indicating strong interest in their offerings [60] Question: Changes in demand dynamics due to memory costs - Management acknowledged that while higher prices could constrain demand, the overall demand for data remains strong, particularly with the rise of AI [88] Question: Scaling the hyperscale business - Management emphasized the importance of providing superior solutions and maintaining engagement with hyperscalers to capture a larger market share [110]

AI Infrastructure Challenges & Solutions - Data bottlenecks constrain GPU performance in AI training and inference, leading to wasted resources and reduced productivity [2][4][5][11] - DDN addresses these bottlenecks by optimizing data movement through fast storage systems and integration with AI frameworks and hardware like Nvidia [5][6] - Inference is becoming increasingly important, with spending expected to surpass training systems, posing challenges in model loading, RAG (Retrieval Augmented Generation), and KV cache management [7][8][9] - DDN Core combines Exascaler for training and Infinia for data management to provide a seamless AI experience [13][14] DDN's Value Proposition - DDN's solutions improve data center efficiency by increasing "answers per watt," delivering more compute with less energy consumption [12][13] - DDN handles KV cache, increasing the effective memory of GPU systems and improving productivity by up to 60% in large-scale GPU data centers [9][10] - DDN offers fast-track solutions for enterprises to adopt AI, whether on the cloud or on-premise, through partnerships like the one with Google Cloud [15][16][17] - DDN's platform supports various use cases, including HPC, AI training and inference, research data management, and secure data sharing [19][20] Strategic Considerations - DDN emphasizes the importance of considering data first when building AI at scale, advocating for data desiloing and secure access [28][29] - DDN supports sovereign AI, enabling nations to develop AI models relevant to their specific data, language, and culture while ensuring security and data sharing [20][21][22] - Partnerships are crucial for delivering efficient AI solutions tailored to customer preferences, whether cloud, on-premise, or hybrid [23][24] - AI factories, which integrate data preparation, training, simulation, and production, present complex data challenges where DDN excels [25][26][27]

Core Insights - ISG has initiated a research study to evaluate provider capabilities within the expanding Snowflake services ecosystem, focusing on modernization and AI-driven transformation [1][14] - The upcoming ISG Provider Lens report, titled "Snowflake Ecosystem Partners," is set to be published in June 2026 and will assess companies that provide Snowflake-focused modernization and AI/ML enablement services [2][4] Provider Evaluation - Enterprises are increasingly prioritizing providers that demonstrate automation maturity, FinOps discipline, and strong governance, utilizing Snowflake-native tools like Snowpark and Cortex AI for significant improvements in data management [2][5] - The study will feature two quadrants: 1. Modernization and AI/ML Enablement Services, focusing on providers that offer comprehensive strategy, advisory, and implementation support for Snowflake investments [7] 2. Managed Data and Optimization Services, assessing providers that specialize in managing and optimizing Snowflake environments across cloud platforms [7] Research Methodology - ISG has distributed surveys to over 100 Snowflake ecosystem partners to gather data for the report, which will help enterprise buyers evaluate their vendor relationships and potential new engagements [3][5] - The report will include geographic insights covering the global Snowflake ecosystem and the products and services available worldwide [6] Company Background - ISG is a global AI-centered technology research and advisory firm, serving over 900 clients, including 75 of the top 100 enterprises globally, and is recognized for its expertise in technology and business services [10]

Financial Data and Key Metrics Changes - The company reported Q2 revenue of $1.71 billion, up 3% year-over-year, and 4% excluding the divested Spot business [5][18] - Non-GAAP earnings per share (EPS) was $2.05, growing 10% year-over-year [20] - Gross margin for Q2 was 72.6%, above guidance, with operating margin at 31.1%, up 2.4 percentage points year-over-year [20][21] - Cash flow from operations was $127 million, and free cash flow was $78 million [21] Business Line Data and Key Metrics Changes - Hybrid cloud revenue was $1.53 billion, up 3% year-over-year, with Keystone showing 76% growth [18] - Public cloud revenue was $171 million, increasing by 2% year-over-year, and 18% excluding the Spot business [18] - All-flash array revenue grew 9% year-over-year to $1 billion, with an annualized run rate of $4.1 billion [14] Market Data and Key Metrics Changes - The company experienced strong demand for AI solutions and cloud storage services, with first-party and marketplace cloud storage services revenue increasing approximately 32% year-over-year [11][68] - Deferred revenue balance was $4.45 billion, up 8% year-over-year, indicating strong future revenue potential [19] Company Strategy and Development Direction - The company is focused on expanding its presence in AI, cloud, and all-flash markets, leveraging innovations like AFX and AIDE to enhance its offerings [7][9] - The strategy includes enhancing partnerships with hyperscalers and expanding capabilities in public cloud environments [10][11] - The company aims to capture market share by aligning with customer spending on AI and data infrastructure modernization [58] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to navigate macroeconomic challenges and expects a recovery in the U.S. public sector business [16][50] - The company anticipates continued growth in the second half of the fiscal year, driven by strong demand in non-U.S. public sector segments and AI projects [57][58] - Management highlighted the importance of operational discipline and innovation in maintaining competitive advantages [16][20] Other Important Information - The company launched the NetApp Ransomware Resilience Service to enhance cyber resilience capabilities [14] - The company is committed to maintaining a strong balance sheet and securing supply commitments to mitigate potential risks [59][75] Q&A Session Summary Question: Component environment and pricing dynamics - Management indicated they have locked in prices for components and have visibility for a couple more quarters [27][28] Question: Drivers of product gross margin expansion - Management noted that product gross margin is driven by a mix of factors including pricing and product mix, with expectations for stability [39][41] Question: Trends in AI-related transactions - Management reported closing approximately 200 AI infrastructure deals, with a stable mix of transaction types [46][47] Question: Seasonal revenue guidance for Q3 - Management acknowledged potential headwinds in the U.S. public sector but views them as temporary [50] Question: Demand drivers and inventory management - Management expressed confidence in demand despite public sector challenges and indicated a proactive approach to securing supply [57][59] Question: Opportunities with Sovereign clouds - Management highlighted ongoing participation in Sovereign clouds and the introduction of AFX to enhance offerings [89][92] Question: Cash flow and pricing flexibility - Management noted seasonality in cash flow and emphasized the ability to adjust pricing based on commodity costs [125]

Financial Data and Key Metrics Changes - The company reported Q2 revenue of $1.71 billion, representing a 3% year-over-year increase. Excluding the divested Spot business, total revenue increased by 4% [4][15] - Non-GAAP earnings per share (EPS) was $2.05, reflecting a 10% year-over-year growth [17] - Gross margin for Q2 was 72.6%, exceeding guidance and up 1.5 percentage points sequentially [16][17] - Operating income was $530 million, up 12% compared to Q2 2025, with an operating margin of 31.1%, an increase of 2.4 percentage points year-over-year [17] Business Line Data and Key Metrics Changes - Hybrid cloud revenue reached $1.53 billion, up 3% year-over-year, driven by product, support, and Keystone services, which grew 76% year-over-year [15] - Public cloud revenue was $171 million, a 2% increase year-over-year, and up 18% excluding the Spot business [15][16] - All-flash array revenue grew 9% year-over-year to $1 billion, with an annualized run rate of $4.1 billion [12] Market Data and Key Metrics Changes - The company closed approximately 200 AI infrastructure and data lake modernization deals across various geographies and industries in Q2 [8] - The first-party and marketplace cloud storage services revenue increased approximately 32% year-over-year [10] Company Strategy and Development Direction - The company is focused on growing markets, particularly in all-flash, public cloud, and AI, which are expected to drive top-line growth [14] - Innovations such as AFX and AIDE are aimed at enhancing AI workload capabilities and improving data management [6][8] - The company is committed to leveraging its competitive advantages and aligning with customer data initiatives to capture additional market share [14][20] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to navigate the uncertain macro environment and expected growth in non-U.S. public sector segments [14][33] - The company anticipates a slight decline in U.S. public sector revenue due to recent shutdowns but expects recovery in the long term [31][34] - Management raised guidance for gross margin, operating margin, and EPS for the fiscal year based on strong Q2 performance [19][20] Other Important Information - Cash flow from operations was $127 million, and free cash flow was $78 million [18] - The company returned $353 million to shareholders through share repurchases and dividends [18] Q&A Session Summary Question: Component environment and pricing dynamics - Management indicated they have locked in prices for components and have visibility for a couple more quarters [21] - They expect product gross margin to remain stable through the rest of the year despite potential volatility in component pricing [22][24] Question: Drivers of product gross margin expansion - Product gross margin expansion is driven by a combination of mix and pricing, with a focus on maintaining operational discipline [27][28] Question: Trends in AI-related transactions - The company reported a stable mix of AI transactions, with a significant increase in the number of deals closed [29][30] Question: Seasonal growth expectations - Management noted that the U.S. public sector business is expected to be slightly below seasonal trends due to recent shutdowns, but they view this as temporary [31] Question: Demand drivers for the second half of the year - Despite U.S. public sector headwinds, management sees acceleration in non-U.S. public sector segments and strong demand for AI projects [33] Question: AI deal sizes and customer feedback - Deal sizes vary widely, and while there is strong interest in the AFX platform, it is still early to assess its impact on results [36] Question: Cash flow and seasonality - Q2 cash flow is typically lower due to seasonality and tax payments, but management expects improvement in the second half [55]

Core Insights - Domo has partnered with Formula 1 driver Alex Albon to demonstrate the impact of data on performance in both racing and business contexts [2][4][6] - The collaboration will run through the 2026 season and includes various initiatives aimed at enhancing fan engagement and showcasing data-driven decision-making [2][4][5] Partnership Details - The partnership will feature behind-the-scenes storytelling, data-driven fan experiences, and integrations that highlight the synergy between data insights and human instinct [2][3][4] - Key initiatives include exclusive content, interactive experiences at Domo's Domopalooza 2026 event, VIP hospitality opportunities at select races, and digital integrations across Albon's channels [5][6] Company Background - Domo is an AI and Data Products platform that enables businesses to leverage data and AI for improved decision-making and performance [7] - The platform supports users in preparing, visualizing, automating, and distributing data products, ultimately driving measurable value for businesses [7]

Core Insights - Veritone, Inc. will host a virtual AI and Data Economy Investor Forum on December 1, 2025, featuring senior leadership and prominent customers [1][2] - The forum will cover Veritone's vision for the AI and Data market, product and platform strategy, go-to-market approach, and insights into its expanding role in the AI and Data Economy [2] Company Overview - Veritone is a leader in enterprise AI and data solutions, serving both commercial and public sector industries [3] - The company's aiWARE™ platform orchestrates a growing ecosystem of machine learning models, transforming data into actionable intelligence [3] Financial Highlights - In Q3 2025, Veritone reported a more than 200% growth in core AI software revenue and solidified its liquidity position through two equity offerings [8] - The company remains on track to achieve profitability by the latter part of 2026 [8]

AvePoint Conference Call Summary Company Overview - **Company**: AvePoint (NasdaqGS:AVPT) - **Industry**: Data management, governance, and security within the Microsoft Cloud ecosystem - **Founded**: Over 20 years ago, initially focused on Microsoft SharePoint infrastructure management Key Points and Arguments Company Evolution and Market Position - AvePoint started in the infrastructure management space for Microsoft SharePoint, becoming the largest player in that area before transitioning to cloud services with Microsoft [17][18] - The company is now the largest B2B SaaS data management, governance, and security player, operating in 18 countries with a revenue breakdown of 45% from North America, 35% from MEA, and the rest from APAC [18] - AvePoint's annual recurring revenue (ARR) is projected to exceed $410 million, with 53-55% of enterprise customers being recurring [19] Business Model and Financial Performance - The company has achieved 22% operating margins, is cash flow positive, GAAP profitable, and adheres to the "Rule of 40" [19] - AvePoint has invested aggressively in channel sales, improving efficiency and reducing sales and marketing costs [19] - The company aims for $1 billion in ARR by 2029, with up to 30% expected from non-Microsoft sources [43][44] Product Focus and Market Trends - AvePoint focuses on data management, governance, and security, particularly for unstructured data, which constitutes 80% of all data and is the fastest-growing segment due to AI [20] - The company addresses two primary concerns for boards globally: AI and security, emphasizing data resiliency and lifecycle management [20][21] Relationship with Microsoft - AvePoint does not resell Microsoft software but operates as an ecosystem player, maintaining a strong partnership with Microsoft [23] - The company has a significant relationship with Microsoft, being a top global partner and customer, which allows early access to product developments [23] - Over 90% of AvePoint's revenue comes from the Microsoft Cloud, but the company is expanding into multi-cloud environments, supporting platforms like Google, AWS, and Salesforce [24] Competitive Landscape - AvePoint competes with various vendors depending on the segment, including Commvault, Rubrik, Veeam, and Varonis, but differentiates itself through its singular platform and extensive compliance credentials [56][57] - The company believes there is ample room for growth despite market convergence, as it offers a comprehensive solution that integrates data management and governance [65] Customer Insights and Deployment Trends - Customers are cautious about AI deployment, often preferring to implement governance solutions before rolling out AI tools like Microsoft Copilot [36][37] - The company is seeing a shift where AI-native companies are moving faster in adopting AI compared to traditional banks and regulated industries [41] Future Outlook - AvePoint is focused on expanding its presence in IaaS and PaaS markets, which are growing faster than traditional cloud collaboration tools [45] - The company has $500 million in cash, no debt, and is generating significant cash flow, positioning it well for potential acquisitions and organic growth [46] - The emphasis on embedding AI into its products aims to enhance customer experience and increase upsell opportunities [69] Misconceptions and Strategic Vision - A common misconception is that being tied to the Microsoft ecosystem is a disadvantage; however, AvePoint views it as a strength that enhances its value proposition [76] - The company is committed to staying agile and close to customer needs, which is crucial for navigating technological disruptions in the software industry [79] Additional Important Insights - The company reported a 19% net new ARR growth and a 38% growth in SaaS, despite some softness in the U.S. public sector [47][49] - AvePoint continues to invest in the public sector, which remains a resilient segment for the company [55]