Core Insights - Federato, an AI-driven insurance platform, has raised $100 million in a Series D funding round led by Goldman Sachs Alternatives, bringing total capital raised to over $180 million [1][3]. Funding and Financial Performance - The Series D funding round was supported by existing investors including Emergence Capital, Caffeinated Capital, StepStone Group, and Pear VC [1]. - Less than a year prior, Federato raised $40 million in a Series C round [1]. - The company has reported a threefold increase in revenues over the past year, attributed to new customer acquisition and expanded usage among existing clients [1]. Technological Advancements - The growth has been driven by the adoption of agentic AI, a technology pioneered by Federato's co-founders for over a decade [2]. - Federato's platform enables insurers to customize workflows and strategies in response to AI integration [2]. - The agentic AI systems allow for complex analysis while enabling human personnel to focus on decision-making that requires nuanced judgment and interpersonal skills [3]. Market Demand and Investment Impact - The demand for AI-native capabilities has exceeded expectations, and the investment from Goldman Sachs will help meet customer needs [4]. - Goldman Sachs Alternatives Growth Equity noted that Federato's platform offers a significant improvement in ROI and efficiency compared to previous core systems [4]. - Federato has developed a comprehensive policy life cycle solution that is already delivering measurable results for insurers [5].

Core Insights - Atos has launched an Agentic AI solution called Autonomous Data and AI Engineer, designed to enhance the capabilities of data and AI engineering teams, integrated with Microsoft Azure [1][6] - The solution automates complex, multistep data and AI engineering tasks, currently available for Azure Databricks and Snowflake [2][3] - Atos' solution can reduce manual effort and accelerate data operations development and deployment by up to 60%, while also lowering operational costs by up to 35% [5] Product Features - The Autonomous Data and AI Engineer can autonomously ingest, process, and interact with both structured and unstructured data, applying data quality and transformation rules [3] - The integrated no-code Atos Polaris AI Agent Studio allows both technical and non-technical users to orchestrate multiple agents and connect them with Large Language Models [4] - The solution supports the 'Services-as-Software' paradigm, enabling customers to modernize their data and AI transformation efforts [6] Collaboration and Market Position - Atos and Microsoft have collaborated for over 20 years to provide flexible cloud services that optimize resources and support global data centers [7] - Atos Group operates with approximately 67,000 employees and annual revenue of around €10 billion, positioning itself as a leader in digital transformation [9][10]

Remote-First-Company | SAN FRANCISCO, CA, Nov. 18, 2025 (GLOBE NEWSWIRE) -- VAST Data, the AI Operating System company, announced today at Microsoft Ignite a collaboration with Microsoft to power the next wave of agentic AI. Available soon to Azure customers, the VAST AI OS provides a simple way to deploy high-performance, scalable AI infrastructure in the cloud. Enterprises will be able to access VAST’s complete suite of data services in Azure, including unified storage, data cataloging, and database capa ...

Core Insights - GoDaddy's shares have decreased by 36.6% over the past 12 months, significantly underperforming the Zacks Computer and Technology sector, which returned 23.6% [1] - The company is facing challenges from a tough macroeconomic environment and intense competition in the digital services market, but it is expected to benefit from AI integration initiatives [1] Company Developments - GoDaddy has launched Airo.ai, a beta agentic AI platform designed for small businesses, which includes six agents to assist in various tasks from domain registration to website building [2] - The shift towards an Agentic AI platform, with Airo.ai and Airo Plus at its core, is becoming a major growth driver for the company [3] - GoDaddy plans to have AI generate 70% of its code by the end of the year, with 45% currently being AI-generated [3] Financial Projections - GoDaddy has raised its revenue guidance for 2025, projecting total revenues between $4.93 billion and $4.95 billion, reflecting an 8% year-over-year increase at the midpoint [4] - The company anticipates mid-teens growth in Applications and Commerce (A&C) revenues and mid-single digit growth in core revenues for 2025 [4] - For Q4 2025, GoDaddy expects revenues of $1.255-$1.275 billion, representing a 6% increase at the midpoint, with a normalized EBITDA margin of approximately 32% [5][8]

"You can leverage a lot of the principles you use for humans for agents."Adam Behrens, CEO of New Gen, spoke about organizing data for agentic AI use at the 2025 #ForbesCIO Summit in New York City. https://t.co/tSdVcE6Xvo https://t.co/WRCI7SbDoR ...

"IT departments are becoming the HR of these AI agents."Carter Busse, CIO of Workato, spoke about agentic AI at the 2025 #ForbesCIO Summit in New York City. https://t.co/tSdVcE6Xvo https://t.co/LFvFtPv13T ...

Core Insights - Capgemini has strengthened its partnership with SAP to enhance AI-driven enterprise transformation solutions across European industries, particularly in the public sector and highly regulated sectors [1][3] - The new Sovereign Technology Partnership aims to bolster Europe's digital sovereignty, ensuring robust cybersecurity and compliance for organizations [1][2] - The partnership will initially focus on France, Germany, the Netherlands, and the United Kingdom, with plans for broader European expansion [1] Group 1 - The partnership will combine Capgemini's expertise in data management, migration, and AI governance with SAP's sovereign cloud solutions to deliver end-to-end agentic AI solutions [3] - Capgemini's recent acquisitions of Syniti and Cloud4C enhance its capabilities in SAP data transformation and managed services for hybrid and sovereign cloud environments [4] - The collaboration aims to address the dual challenge of driving AI-led innovation while ensuring compliance with strict sovereignty and security requirements [4] Group 2 - Aiman Ezzat, CEO of Capgemini, emphasized the importance of collaboration between companies and governments to meet the challenges of digital sovereignty and innovation [4] - Christian Klein, CEO of SAP SE, stated that the partnership sets a new benchmark for Europe's digital and technology sovereignty, enabling organizations to innovate securely and independently [4] - Capgemini reported global revenues of €22.1 billion for 2024, showcasing its strong position in the market [6]

Summary of Sprout Social Update / Briefing (November 18, 2025) Company Overview - **Company**: Sprout Social (NasdaqCM:SPT) - **Event**: Breaking Ground, a quarterly launch event focusing on social media and AI innovations Key Industry Insights - **Social Media Evolution**: The customer journey has shifted to social media, with social search becoming the new SEO and social content acting as the new marketing site map [6][8] - **Data Volume**: 5.4 billion people share hundreds of billions of messages daily, generating tens of petabytes of data on social networks [6] - **Customer Engagement**: 55% of users feel brands are not adequately responding to their interactions on social media, indicating a gap in customer engagement [8] Core Product Innovations - **AI Integration**: Sprout has been investing in AI for over a decade, with over 40 custom AI models in use, enabling features like optimal send times and sentiment analysis [14][15] - **Agentic AI**: Introduction of agentic AI, which can reason and take actions based on social data, enhancing workflows and decision-making processes [10][12] - **Trellis**: A new AI agent designed to facilitate social intelligence across organizations, allowing users to interact conversationally with social data for insights [16][20] Product Features and Enhancements - **Trellis Capabilities**: Users can perform tasks like trend analysis and campaign performance reporting through a conversational interface, significantly reducing the time spent on data analysis [16][19] - **Spam Detection**: New AI model for spam detection that categorizes and auto-completes spam messages, improving team efficiency [28] - **Influencer Marketing**: Enhanced capabilities for influencer matchmaking, including brand fit and safety scores, and upcoming features for analyzing video content [30] Upcoming Features - **Integration with ChatGPT**: Launch of a remote MCP server to connect Sprout with ChatGPT, allowing for deeper content analysis and performance comparisons [24][27] - **New Social Listening Sources**: Introduction of Blue Sky for comprehensive insights and monitoring capabilities across various social networks [39] Customer Engagement and Feedback - **Customer Participation**: Early access to Trellis for qualifying social listening customers, with plans for broader rollout [20] - **User Experience**: Positive feedback from customers on the ease of use and efficiency improvements brought by Trellis [52] Panel Discussion Highlights - **AI in Workflows**: Discussion on the transition from AI as an assistant to AI as a coworker, emphasizing the importance of personalized AI applications [48][56] - **Human Element**: Acknowledgment that while AI enhances efficiency, the human aspect of content creation and customer engagement remains crucial [60] Conclusion - **Future Vision**: Sprout Social aims to leverage AI to unlock social intelligence for businesses, enhancing customer engagement and operational efficiency at an unprecedented scale [31]

Summary of Thomson Reuters Conference Call Company Overview - **Company**: Thomson Reuters - **Industry**: Information Services, specifically focusing on legal, tax, and accounting sectors Key Points and Arguments Product Innovation and AI Integration - The CEO highlighted a significant acceleration in product innovation, particularly through the integration of generative AI across various product lines such as CoCounsel, Westlaw, and Practical Law [3][4][10] - The company has committed over $200 million to generative AI investments for 2025, split evenly between operating expenses and capital expenditures [11] - Recent product launches, including CoCounsel Legal and Westlaw Advantage, have received positive early testing results, indicating strong client adoption [4][5] Client Adoption and Customer Success - Thomson Reuters has invested heavily in customer success initiatives to drive adoption and sustained usage of its products [5][7] - The company has seen a doubling of its Net Promoter Score (NPS) since launching its change program in 2021, indicating improved customer satisfaction [14] Revenue Growth Projections - For 2026, the company targets a revenue growth of 9.5% for its big three segments, with price increases expected in the range of 3-3.5% [15][16] - The tax and accounting segment is projected to achieve organic revenue growth of 11-13%, driven by product innovation, acquisitions, and a strong retention rate [57][58] Competitive Advantages - Thomson Reuters maintains a strong competitive position in legal research due to its extensive content repository and a team of highly trained attorneys who enhance AI capabilities [22][43] - The company is leveraging its established tax calculation engines and expertise to automate workflows, addressing the talent shortage in the tax and accounting professions [39][41] Market Dynamics and Opportunities - The legal profession is increasingly adopting technology, with both large firms and sole practitioners showing interest in AI tools [54][55] - The corporate segment presents a significant growth opportunity, with the company focusing on automating tasks for general counsels and heads of tax [60][62] Challenges and Considerations - The company faces challenges in changing the cultural dynamics within law firms to fully embrace AI tools, which may take time [56] - There are concerns regarding potential downgrades in government contracts affecting revenue, but the company remains optimistic about overall growth [51][48] Additional Important Insights - The company is actively monitoring the competitive landscape, particularly in tax and accounting, where it has not seen new entrants in core calculation engines [44] - The integration of AI into workflows is seen as a multi-year growth opportunity, with a focus on delivering automation solutions that competitors may struggle to replicate [62][63]

Core Insights - authID has introduced the authID Mandate™ Framework, a governance model aimed at enhancing security for Agentic AI systems, particularly focusing on non-human identities like AI agents [1][5] - The framework addresses the vulnerabilities associated with AI agents operating with phishable credentials and lacking accountability, which can lead to significant risks for enterprises [2][3] Company Overview - authID is a leader in biometric identity authentication, providing solutions that ensure enterprises can verify the identity of users behind devices, thereby preventing cybercriminal activities [6][7] - The company emphasizes the importance of a governance framework for AI agents, allowing enterprises to manage and control AI activities effectively [5][6] Mandate Framework Features - The Mandate Framework establishes accountability by ensuring each AI agent is sponsored by a verified human, creating a clear chain of trust [4][5] - It operationalizes the issuance of biometric-rooted, cryptographically verifiable credentials, enhancing security across digital workflows and multi-agent ecosystems [4][6] - The framework includes features such as fine-grained authorization policies, continuous observability of AI agent actions, and the production of tamper-evident logs for compliance and auditing purposes [6][7] Industry Context - The introduction of Agentic AI solutions poses significant concerns for enterprise CEOs, particularly regarding the potential for fraud and misuse without a robust governance framework [5] - Recent incidents of fraud involving AI agents highlight the urgent need for accountability and trust in AI systems, which the Mandate Framework aims to address [5]