After an early setback that resulted in the benchmark CAC 40 losing over 100 points, the French market recovered and briefly moved above the flat line on Friday. Concerns about high tech valuations have resurfaced despite US chipmaker Nvidia's strong earnings and update. Uncertainty about Federal Reserve's interest rate move in December also hurt the market early on. However, flash estimates showing an expansion in French services sector activity aid sentiment.The CAC 40, which tumbled to 7,875.87 at the s ...

Core Insights - ISG has recognized Capgemini, HCLTech, and Hexaware as Client Champions, which is the highest honor in the 2025 ISG Star of Excellence Awards [1] Company Highlights - Capgemini, HCLTech, and Hexaware have been awarded for their exceptional client service and performance in the industry [1]

German tech major SAP has announced a collaboration with France’s AI sector, establishing new and expanded partnerships with companies including Bleu, Capgemini, and Mistral AI. The initiative aims to develop AI-led sovereign cloud solutions designed to protect European data and intellectual property, as well as support the region’s digital transformation. The agreement was revealed at the Summit on European Digital Sovereignty in Berlin. The partnership involves SAP bringing its enterprise application ...

Core Insights - The role of Chief Marketing Officers (CMOs) is evolving, facing high expectations amidst challenges like budget constraints and declining strategic influence [3][4][6] - There is a significant gap in the effective use of AI in marketing, with only 7% of marketers believing AI has improved marketing effectiveness despite high adoption rates [7][8] Marketing Budget and Strategic Influence - Marketing budgets have decreased to an average of 5% of company revenue, while the involvement of CMOs in critical decision-making has dropped from 70% to 55% over two years [4] - The report highlights that 55% of marketing initiatives related to AI are funded by IT, limiting marketing's control over these initiatives [3][4] AI Integration and Effectiveness - Nearly 70% of large organizations utilize generative AI in marketing, but only 15% of marketing leaders report that low-value tasks are automated [7][8] - A mere 18% of marketers feel they are successfully personalizing customer interactions using AI, indicating a need for improved collaboration between marketing and technology [5][10] Collaboration and Skills Development - Strengthening collaboration between CMOs and CIOs is essential for aligning technology and data with strategic priorities, as 68% of marketing leaders believe their teams need to upskill in AI and business strategy [10][11] - The report emphasizes the importance of integrating AI across the marketing value chain to enhance customer experience and drive business growth [11] Future Directions for CMOs - CMOs are encouraged to redesign their operating models to be more human-centric and future-ready, positioning themselves as key drivers of customer experience [11][12] - The report suggests that CMOs should focus on removing silos within organizations and investing in the right AI skills to fully leverage AI's potential [11][12]

Core Insights - SAP SE has announced a collaboration with France's AI sector, including partnerships with Bleu, Capgemini, and Mistral AI, to create secure, scalable, AI-driven sovereign cloud solutions aimed at advancing Europe's digital transformation [1][9]. Group 1: Collaboration and Partnerships - The collaboration combines SAP's enterprise application expertise with France's AI ecosystem to enhance data protection and intellectual property while promoting European innovation [1][2]. - Bleu and Delos Cloud have formed a Franco-German alliance to safeguard Europe's digital infrastructure, focusing on crisis response and operational cooperation in extreme scenarios [2][3]. - SAP and Capgemini are deepening their partnership to enhance cybersecurity and accelerate AI-driven enterprise transformation solutions across Europe [5]. Group 2: Sovereign AI and Digital Sovereignty - SAP and Mistral AI are expanding their partnership to provide a full sovereign AI stack for Europe, integrating Mistral's AI capabilities into SAP's cloud infrastructure [6][8]. - The collaboration aims to develop industry-specific AI applications that leverage both companies' strengths to address complex challenges and unlock new business value [7][8]. - SAP is investing over €20 billion in sovereign cloud and AI solutions to create a resilient digital foundation for European governments, public institutions, and enterprises [9].

Press contact:Mollie MellowsTel.:+ 44 7342 709 384E-mail: mollie.mellows@capgemini.com Capgemini deepens partnership with SAP to bolster Europe’s digital sovereignty and accelerate time to value for AI-powered enterprise innovation and transformation Planned sovereign technology partnership is designed to help deliver robust cybersecurity and help ensure compliance across the most highly regulated European industries Paris, November 18, 2025 – Capgemini today announced that it has further strengthened its ...

Paris, November 18, 2025 Recently appointed Sodexo Group Chief Executive Officer, Thierry Delaporte will expand his responsibilities to include direct leadership of North America, starting January 1, 2026. To accelerate its growth in its largest market, Sodexo is evolving its leadership structure. Thierry Delaporte, Group CEO, will expand his responsibilities to lead the North America business for a period of time. Sarosh Mistry, currently President, Sodexo North America, will retire from the company, eff ...

Core Insights - OpenText has introduced the OpenText AI Data Platform (AIDP) to unify data management and AI, aiming to provide secure and scalable enterprise capabilities [1][2][14] - The platform addresses the growing need for organizations to manage and activate their proprietary data effectively, especially in light of the negative consequences reported by 51% of organizations using AI [2][3] AI Strategy and Innovation - OpenText's AI strategy is built on 35 years of experience in data management, emphasizing the importance of contextual understanding for effective AI deployment [4][5] - The company aims to create a new generation of secure AI agents that can operate within specific business contexts, enhancing accuracy and reducing false confidence [3][4] Product Features and Capabilities - OpenText Aviator, built on the AIDP, enables automated workflows and adheres to open architecture standards, allowing organizations to customize their AI strategies [6][8] - The platform supports multi-cloud, multi-model, and multi-application deployments, ensuring compatibility with various AI models and enterprise systems [9] Partnerships and Collaborations - OpenText is expanding its partnership with Databricks to co-innovate on the AIDP, focusing on technical integrations that will enhance data governance and analysis capabilities [7][8] - The collaboration aims to empower customers to unlock trusted AI insights and drive innovation at scale [7] Upcoming Innovations - At OpenText World 2025, the company outlined its 18-month roadmap for innovations that will redefine enterprise interactions with data and AI [10][11] - OpenText Aviator will be included in upgrades to existing management systems, providing practical use cases for various business applications [11]

Core Insights - Financial institutions are rapidly adopting AI agents for customer-facing processes, significantly transforming interactions with banks and insurers [1][2] - The Capgemini Research Institute predicts that AI agents could generate up to $450 billion in economic value by 2028, highlighting a substantial opportunity for the financial services sector [2][7] - Despite optimism, only 10% of firms have implemented AI agents at scale, indicating a large potential for growth in this area [5][6] Adoption and Implementation - Key processes for AI agent deployment in banks include customer service (75%), fraud detection (64%), loan processing (61%), and customer onboarding (59%) [1] - Insurers also prioritize customer service (70%), underwriting (68%), claims processing (65%), and onboarding (59%) [1] - 80% of financial services firms are in the ideation or pilot stage for AI agent deployment, with 33% developing proprietary agents in-house [5][6] Economic Impact and Investment - Nearly two-thirds of executives (61%) view cloud-based orchestration as critical to their AI strategy, transforming cloud platforms into innovation engines [3] - C-suite executives are aligning investments with AI agent technologies, with nearly two-thirds indicating that up to 40% of their generative AI budget is allocated to these technologies [7] - By 2028, one in four firms expects to increase spending on AI agent solutions by up to 60% [7] Challenges to Adoption - Executives cite a skills gap among business leaders and employees (92%) and regulatory compliance burdens (96%) as major roadblocks to AI adoption [8] - High implementation costs are also a barrier, leading 25% of firms to consider a service-as-a-software model for AI consumption and monetization [9]

Core Insights - Financial institutions are rapidly adopting AI agents for customer-facing processes, transforming interactions in banking and insurance sectors [2][3] - AI agents are projected to deliver up to $450 billion in economic value by 2028, indicating significant opportunities for the financial services industry [3] - A majority of firms are in the ideation or pilot stage of AI agent deployment, with only 10% having implemented them at scale [6] Adoption and Implementation - Key processes for AI deployment in banks include customer service (75%), fraud detection (64%), loan processing (61%), and customer onboarding (59%) [2] - Insurers prioritize customer service (70%), underwriting (68%), claims processing (65%), and onboarding (59%) [2] - 33% of banks are developing proprietary AI agents in-house, while nearly half are creating new roles to supervise these agents [3][8] Benefits and Opportunities - Executives believe AI agents can enhance efficiency in customer onboarding, KYC, loan processing, and claims management, with benefits including real-time decision-making (96%), improved accuracy (91%), and faster turnaround times (89%) [7] - 92% of executives see AI agents facilitating expansion into new geographies without heavy infrastructure costs [9] - 79% believe cloud-native AI agents can enable dynamic pricing and offers, enhancing revenue potential [9] Investment Trends - Nearly two-in-three executives allocate up to 40% of their generative AI budget to agent technologies, with expectations of increasing spending on AI agent solutions by up to 60% by 2028 [10] - A growing number of firms (25%) are considering a service-as-a-software model to manage AI costs effectively [12] Challenges to Adoption - Executives identify a skills gap (92%) and regulatory compliance burdens (96%) as major obstacles to AI adoption [11] - High implementation costs are also a barrier, prompting firms to explore new consumption and monetization models for AI [12]