Core Insights - Elastic has launched the Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service designed for Elasticsearch semantic search, vector search, and generative AI workflows [1][2]. Group 1: Service Features - EIS provides an API-based inference service utilizing NVIDIA GPUs, integrated with Elasticsearch's vector database for low-latency and high-throughput inference [3]. - The first text-embedding model available on EIS is the Elastic Learned Sparse EncodeR (ELSER), with plans to support additional models for multilingual embeddings and reranking soon [3][5]. - EIS is designed to streamline the developer experience by eliminating model downloads, manual configuration, and resource provisioning, integrating directly with semantic text and the Inference API [7]. Group 2: Performance and Scalability - The service offers improved end-to-end semantic search capabilities, compatible with both sparse and dense vectors, as well as semantic reranking [7]. - GPU-accelerated inference provides consistent latency and up to 10x higher throughput for ingestion compared to CPU-based alternatives [7]. - EIS is available on Serverless and Elastic Cloud Hosted deployments, accessible across all cloud service providers and regions [5]. Group 3: Pricing and Support - EIS features consumption-based pricing, charged per model per million tokens, making it easy for users to get started and access support [7]. - Elastic provides intellectual property indemnity for all models offered on EIS, ensuring peace of mind for users [7].

America’s advertising market has transformed so dramatically over the last decade that almost two-thirds of it is now in the hands of just five tech companies. Most Read from Fast Company This week, MoffettNathanson released a report called “U.S. Advertising: Are We Near the AI Tipping Point?” which highlights, among other things, how generative AI is disrupting TV advertising as interest in traditional media continues to shift away. The report suggests that the effects of AI have been prominent among s ...

About this content About Emily Jarvie Emily began her career as a political journalist for Australian Community Media in Hobart, Tasmania. After she relocated to Toronto, Canada, she reported on business, legal, and scientific developments in the emerging psychedelics sector before joining Proactive in 2022. She brings a strong journalism background with her work featured in newspapers, magazines, and digital publications across Australia, Europe, and North America, including The Examiner, The Advocate, ...

Core Insights - Elastic has completed the acquisition of Jina AI, enhancing its capabilities in retrieval, embeddings, and context engineering for agentic AI [1][2] - The acquisition positions Elastic as a leading Search AI Platform, emphasizing its commitment to open and accessible Search AI solutions [2][3] Group 1: Acquisition Details - The acquisition deepens Elastic's capabilities in vector search, retrieval-augmented generation (RAG), and context engineering [2] - Jina AI's technology adds dense vector, multilingual, and multimodal embeddings models, enhancing Elastic's ELSER model [3] - Advanced rerankers from Jina AI improve retrieval quality for visual and long-context multilingual documents [3] Group 2: Strategic Goals - The integration of Jina AI's models aims to enhance relevance for unstructured data, enabling developers to deliver higher-quality context to generative AI systems [3] - Elastic plans to continue Jina AI's practice of releasing models on Hugging Face and publishing academic research [4] - The models will be available through the Elastic Inference Service (EIS) on Elastic Cloud, allowing enterprise customers to utilize embeddings and rerankers alongside Elastic's vector database [4] Group 3: Leadership and Vision - The former CEO of Jina AI, Han Xiao, has joined Elastic as VP of AI, indicating a strategic alignment in advancing search foundation models [4] - Elastic's CEO, Ash Kulkarni, highlighted the importance of search in generative AI and the expanded capabilities brought by Jina AI [3]

Core Insights - The artificial intelligence (AI) trade has significantly boosted ETFs like Invesco QQQ Trust (QQQ) and Invesco NASDAQ 100 ETF (QQQM), with these ETFs outperforming the S&P 500 by nearly 1,000 basis points over the past two years [2][4] - Generative AI is recognized as a transformative technology, comparable to past innovations like electrification and the internet, and is expected to drive a new productivity revolution [3][8] - Major chipmakers such as NVIDIA, AMD, and Broadcom are key beneficiaries of the growing demand for AI-related technologies, particularly graphics processing units (GPUs) [5][6] ETF Advantages - QQQ and QQQM provide investors with easier access to a diversified range of AI-related stocks, making them suitable for those with limited capital seeking broader exposure [4][6] - The Invesco ETFs include significant holdings in the so-called "Magnificent Seven" stocks, enhancing their appeal for investors looking to invest in leading AI companies [6] Future Outlook - Despite some concerns regarding the limitations of generative AI, there is speculation about the potential of Artificial General Intelligence (AGI) to further enhance productivity and wealth creation [7][8] - AGI is anticipated to revolutionize the AI landscape by enabling systems to learn and apply knowledge across various domains, which could lead to substantial economic benefits [8]

Core Insights - KULR Technology Group has announced a new hosting partnership with Soluna Holdings to operate 3.3 MW of Bitcoin mining capacity at Soluna's Project Sophie facility in Kentucky, marking a strategic move into sustainable Bitcoin mining [1][4][6] - The partnership allows KULR to leverage Soluna's expertise in renewable-powered hosting, aligning with the growing demand for sustainable computing infrastructure in the Bitcoin mining sector [2][3][6] - KULR's commitment to Bitcoin as part of its treasury strategy includes allocating up to 90% of its surplus cash reserves to Bitcoin acquisition, supported by this new hosting framework [6][8] Company Overview - KULR Technology Group is a Bitcoin+ treasury company focused on high-performance energy systems and AI Robotics, delivering advanced energy storage solutions for various sectors [7][8] - Soluna Holdings specializes in developing green data centers that utilize surplus renewable energy for intensive computing applications, including Bitcoin mining [9] Market Context - The global Battery Backup Unit (BBU) market is projected to grow from 29.22 billion USD in 2025 to 43.64 billion USD by 2034, indicating a significant opportunity for KULR as it expands into BBU solutions [3]

"Our commitment to helping banks transform corporate lending with secure, compliant, and innovative technology is underscored by IDC's recognition," said Sovan Shatpathy, senior vice president, product management and development, Oracle Financial Services. "With our comprehensive platform, banks can better manage risk, streamline complex syndicated lending, and improve the borrower experience—all while leveraging AI and GenAI to drive greater efficiency and insight." Global reach, comprehensive end-to-end s ...

Japanese insurer Tokio Marine is planning to allocate more than $10bn (Y1.53trn) for acquisitions to strengthen its international operations, reported Bloomberg, citing Brad Irick, co-head of the unit. Currently, around 80% of the company’s overseas earnings come from the US, but the goal is to lower this to roughly 70% for North America over the medium term, Irick explained during an interview. The funding for this strategy will partly come from selling off cross-shareholdings with other companies in Ja ...

The New York Times’ Chris Wiggins and The Coca-Cola Company’s Pratik Thakar will open and close, respectively, the second annual conference on November 13.After a successful inaugural event in September 2024, Campaign, MM+M and PRWeek are collaborating once more on the second annual AI Deciphered conference.This year’s theme is “The Next Stage of Your Evolution.” The event will be a day of wall-to-wall sessions designed to not only inspire delegates, but also provide tactical counsel to advance communicator ...

Summary of Microsoft 3Q25 CIO Survey Takeaways Company Overview - **Company**: Microsoft - **Market Capitalization**: $3,917.829 billion as of October 8, 2025 - **Current Stock Price**: $524.85 - **Price Target**: $625.00 - **Fiscal Year Ending**: June 2025 Key Industry Insights 1. IT Budget Growth Expectations - 2025 IT budget growth is expected to be stable at **+3.6%**, consistent with prior levels - Software is projected to grow at **+3.8%** in 2025, making it the fastest-growing sector - 2026 budget growth expectations show a modest acceleration to **+3.8%**, up **21 basis points** year-over-year, but still below the historical average of **+4.1%** [1][40][46] 2. Generative AI (GenAI) Spending - GenAI and AI/ML remain top priorities for CIOs, with Microsoft positioned as the leading vendor for GenAI deployment - **33%** of CIOs expect Microsoft to gain the largest incremental share of GenAI spend in 2025, significantly higher than the next vendor at **14%** - Over the next three years, **37%** of CIOs anticipate Microsoft will capture the largest share of GenAI spending [2][10][12] 3. Microsoft’s Competitive Position - Microsoft is viewed as the top IT budget share gainer, with **42%** of CIOs expecting share gains, up from **41%** in the previous survey - The company is also recognized for its strong alignment with key spending priorities such as AI/ML, security, and digital transformation [2][10][54] 4. Project and Task Management Solutions - Microsoft Teams and Planner are the most popular project management solutions, with **62%** of CIOs using them, up from **55%** in 3Q24 - **61%** of CIOs report their companies are standardized on a single project management solution, with Microsoft being the leading choice at **32%** [7][10][27] Financial Performance and Projections 1. Earnings Per Share (EPS) Estimates - EPS for fiscal year ending June 2025 is projected at **$13.64**, with estimates increasing to **$21.22** by June 2028 - The P/E ratio is expected to decrease from **36.5** in 2025 to **24.7** by 2028, indicating potential for multiple expansion [4][70] 2. Revenue Growth Drivers - Azure revenue growth is projected at **29.7%** for 2025, with a gradual decline to **22.4%** by 2028 - Operating margins are expected to expand from **45.6%** in 2025 to **47.2%** by 2028, driven by strong cloud adoption and operational efficiencies [82][89] Additional Insights 1. CIO Spending Priorities - Top spending priorities for CIOs include AI/ML, security software, and digital transformation, indicating strong demand for Microsoft’s offerings in these areas [54][56] - Security software is viewed as the most defensive area of IT spend, with **15%** of CIOs indicating it is least likely to be cut [56] 2. Market Positioning - Microsoft is seen as underpriced relative to peers, with a valuation at less than **26x** GAAP CY27 EPS multiple compared to the large-cap software average of **33x** [8][70] 3. Risks and Opportunities - Risks include potential macroeconomic impacts on IT spending and competition in the cloud space - Opportunities lie in the continued adoption of AI technologies and cloud services, which are expected to drive revenue growth [89][90] This summary encapsulates the key findings from the Microsoft 3Q25 CIO Survey, highlighting the company's strong positioning in the software and cloud markets, particularly in relation to GenAI and project management solutions.