one. There's no one who knows more than George Kurts uh who is CEO of Crowd Strike and I can't believe we are lucky to have you. George is it's great to see you first of all and you're doing a lot of terrific stuff and I think you've become one of the great maybe the great spokesperson for an industry which cannot be uh which is front page everywhere and yet sometimes you have an outage like AWS and but no one wants to know whether it was cyber attack.Well, when you look at technology and you look at how in ...

Key Takeaways IBM partners with Groq to integrate GroqCloud inference tech into watsonx Orchestrate.The move enables faster, cost-efficient AI performance and supports multiple enterprise use cases.IBM plans to enhance Red Hat vLLM and Granite models to strengthen its agentic AI ecosystem.International Business Machines Corporation (IBM) recently announced that it has entered into a partnership with Groq, which specializes in fast and affordable inference infrastructure that efficiently powers AI models. Gr ...

Eliza wants to know how you feel. Before we go any further, please know that Eliza, or ELIZA, wasn’t a human being, but an early conversational artificial intelligence agent developed in 1966 by the computer science Joseph Weizenbaum. Eliza the agent could act like a therapist by reflecting users’ statements, though it had no real understanding of language. When a user stated, “I feel sad today,” Eliza asked, “Why do you feel sad today?” We’ve come a long way since Eliza made those simple inquiries. To ...

Box has seen it all through its 20 years, and CEO @levie has been there the whole time. From the challenges of being a scrappy newcomer, fending off competitors, and retaining relevance are just the start of the stories he'll be sharing at this year's Disrupt.Plus, you should expect to hear more about their recently-announced agentic AI efforts, so don't miss your chance to attend: https://t.co/BNWF7oOWIZ ...

Core Insights - Innodata Inc. (INOD) and SoundHound AI, Inc. (SOUN) are emerging players in the AI ecosystem, with distinct but complementary offerings [1][2] - Investors are increasingly seeking exposure to companies that support AI infrastructure and applications, with INOD focusing on model development and SOUN on end-user experiences [2] Innodata (INOD) - Innodata specializes in data engineering and training data services, essential for advancing generative AI models, positioning itself as a trusted partner for leading technology firms [3][4] - The company has expanded engagements with major tech clients, reflecting strong demand for its services and building long-term revenue potential [4] - Innodata is investing in next-generation applications like Agentic AI and robotics, which could surpass traditional data services in market size [5] - The company's growth is organic, driven by its capabilities rather than acquisitions, enhancing scalability and reducing execution risk [6] - INOD stock has surged 124% in the past six months, outperforming the S&P 500's growth of 27.2% [12] SoundHound (SOUN) - SoundHound has established momentum across automotive, enterprise AI, and restaurant sectors, creating a diversified growth foundation [7] - The proprietary Polaris foundation model provides a competitive advantage, improving accuracy and reducing costs, which enhances customer loyalty [9] - Successful acquisitions and revitalization of subsidiaries have turned them into growth engines, with new wins in various industries [10] - Despite growth, SOUN faces challenges in balancing profitability due to heavy investments and margin pressures, leading to potential volatility in financial results [11] - SOUN stock has increased by 108.3% in the past six months [12] Valuation and Earnings Projections - INOD is trading at a forward price-to-sales (P/S) ratio of 8.29X, above its one-year median of 5.38X, while SOUN's forward sales multiple is at 36.31X, above its one-year median of 24.4X [13] - The Zacks Consensus Estimate for INOD's current-year earnings per share is stable at 83 cents, with next year's estimate increasing to $1.22 [15] - SOUN's current year loss per share remains stable, but the loss estimate for next year has narrowed [16] Conclusion - Innodata is viewed as a stronger buy due to its foundational role in AI and trusted partnerships, while SoundHound is better suited as a hold until it shows clearer earnings visibility [19][20][21]

Core Insights - Genpact has been recognized as both a Leader and a Star Performer in the Everest Group Finance & Accounting Outsourcing PEAK Matrix Assessment 2025, highlighting its AI-first strategy and leadership in finance operations transformation [1][2][3] Group 1: Recognition and Strategy - The recognition from Everest Group underscores Genpact's strength in finance and accounting expertise, driven by investments in AI technologies like the AI Value Studio and Gigafactory [2][3] - Genpact is noted for being an early mover in agentic AI for finance, appealing to innovation-focused enterprises [2][3] - The AI Gigafactory is highlighted as a key differentiator, facilitating the transition from pilot to production in enterprise AI adoption [2][3] Group 2: Capabilities and Impact - Genpact's dual recognition reinforces its strategy to redefine finance for the digital era, focusing on intelligent, resilient, and insights-driven finance operations [3] - The company continues to invest in agentic AI, analytics, and domain expertise to assist clients in transforming their operations with speed and confidence [3][4] - Genpact combines deep process and industry domain expertise with advanced technology capabilities to help clients address business challenges [2][3]

Funding & Investment - Unifor announced a Series F funding round of $260 million [2] - The funding round includes investments from Nvidia, AMD, Snowflake, and Data Bricks, validating Unifor's position in business AI [2] - The investment is a pure financial equity investment with no strings attached or stipulations [4] Company Strategy & Positioning - Unifor is positioned at the forefront of AI adoption in large businesses [5] - Unifor provides a sovereign open platform that integrates GPUs, compute, data, and application layers for clients like insurance companies and banks [5] - Unifor is driving the adoption of agentic AI in major global companies [9] Market Opportunity & Future Plans - The AI market represents a $5 trillion opportunity [8] - Unifor is focused on delivering value to its over 2,000 clients, with plans to rapidly increase this number [10] - Unifor anticipates a wave of AI companies going public in the next 2 years and aims to be among them [11] Competitive Landscape - Competitors like Nvidia and AMD are investing in Unifor, indicating the need for ecosystem collaboration in AI [6][7] - No single technology can serve all purposes within a large organization, necessitating a comprehensive platform like Unifor's [8]

Group 1 - SHAREit Group and Amazon Web Services held a seminar focused on the application of generative AI in advertising technology to enhance the efficiency of the entire advertising chain [2] - SHAREit Group, with a user base exceeding 2.4 billion globally, is exploring the value of AI in its advertising business to meet diverse local advertising demands [4] - The collaboration with Amazon aims to utilize generative AI to shorten the production cycle of advertising materials and improve data insights for more precise advertising strategies [4][5] Group 2 - Generative AI is transforming the advertising industry by enhancing efficiency across the entire process from creative production to deployment [5][8] - The integration of user data with generative AI allows for personalized advertising content that resonates with specific cultural preferences and user behaviors [7] - Amazon's technology stack, including services like Amazon EC2 and Amazon Bedrock, supports a comprehensive AI-driven advertising system that can be tailored to meet specific business needs [8] Group 3 - The development of generative AI is changing the advertising technology development model, enabling faster innovation cycles without excessive time spent on basic coding [10] - The seminar emphasized that the value of generative AI lies in solving real business problems rather than merely pursuing technological trends [11] - Companies are encouraged to shift from cost optimization to innovation-driven strategies, leveraging data strategies and AI cloud services to seize global opportunities [13]

一场无声的革命已经到来。 仅仅3年前，我们惊叹于AI居然"学会了说话"：大型语言模型（LLM）以前所未有的流畅度与人类对话、写作，一度让我们以为这就是未来的终极形态。 然而，风向的转变比预期来得更快。 一个共识正在迅速凝聚： 仅仅"会说话"的AI，不过是这场变革的序曲；真正的未来，属于能"办成事"的AI。 显然，说话的本质是"预测下一个Token"，而真正的AI，应该是"完成下一个任务"。 欢迎来到Agentic AI（自主式AI）的时代。这是一种能够理解复杂意图，自主规划，并调用工具完成任务的智能体（Agent）：让AI从一个"博学的顾问"进 化为一个"可靠的执行者"，这意味着游戏规则被彻底改写。 这不再是关于模型参数的技术迭代，而是一场关乎效率、成本乃至整个商业模式的权力重构。在这场席卷所有行业的新权力游戏中，两个最庞大的身影率 先走上前来，站在了历史的聚光灯下：亚马逊（Amazon）与沃尔玛（Walmart）。 仅仅将它们视为零售商，是对这个时代最严重的误判。在Agentic AI的浪潮之巅，它们已然成为两种截然不同AI文明的缔造者，为全球企业展示了两种可 能的未来： 亚马逊，正在构建一个横向扩展、赋能 ...

Core Viewpoint - Tata Consultancy Services (TCS) is pursuing a distinct artificial intelligence (AI) strategy with a $6.5 billion investment in building and managing data centers, setting it apart from its peers in the IT services industry [1][2][4]. Group 1: TCS's AI Strategy - TCS plans to build a 1GW AI data center in India, marking its most significant shift since going public in 2004 [2][4]. - The company aims to become the "world's largest AI-led tech services company" by expanding its presence across the AI technology cycle [4]. - TCS will sell solutions to various clients, including pure-play AI providers, deep tech companies, hyperscalers, the Indian government, and local enterprises [5]. Group 2: Analyst Reactions - Analysts are divided on TCS's strategy, with some viewing it as a small step in the context of global AI investments and India's reliance on US tech giants [7]. - Concerns have been raised about limited synergies with TCS's existing service offerings, as the data center will function as a sovereign colocation site with low technology intensity [8][9]. - Some analysts believe that while this direction could create new revenue streams, it may negatively impact margins, with TCS management indicating it could take 18 to 24 months to generate related revenues [10][11]. Group 3: Competitors' Strategies - Competitors like Infosys, HCL Technologies, Wipro, and Tech Mahindra are integrating AI into their existing software services rather than pursuing a separate infrastructure strategy [3][6]. - Infosys is focusing on enterprise AI projects, having delivered over 2,500 GenAI and 200 agentic AI client projects [11]. - HCL Technologies reported $100 million in AI revenue, becoming the first of the big five to classify business from AI [13]. - Wipro is embedding AI in its solutions and has developed over 200 AI agents and platforms [16]. - Tech Mahindra is working on indigenous AI models for government use, aligning with the India AI Mission [18]. Group 4: Financial Performance - The top five IT services companies, including TCS, Infosys, HCLTech, Wipro, and Tech Mahindra, reported revenues of $7.47 billion, $5.08 billion, $3.64 billion, $2.6 billion, and $1.59 billion, respectively, with sequential growth rates of 0.61%, 2.73%, 2.79%, 0.65%, and 1.41% [19].