Core Insights - e& and IBM have announced a strategic collaboration to develop an enterprise-grade agentic AI foundation, focusing on policy, risk, and compliance, marking a shift from traditional NLP-based chatbots to action-oriented AI integrated into core enterprise systems [1][9] Company Overview - e& reported a consolidated revenue of AED 59.2 billion and a net profit of AED 10.8 billion for the year 2024, showcasing its strong financial position and credit rating [13] - e& has evolved from a telecom pioneer into a global technology group, operating in 38 countries and offering a wide range of digital services, including AI-powered solutions and cloud computing [14][15] Strategic Collaboration - The collaboration introduces an agentic AI solution built on IBM watsonx Orchestrate, which includes over 500 tools and customizable agents to assist employees and auditors in accessing legal and compliance information [2][4] - The initiative aims to embed intelligence into e&'s risk and compliance processes, facilitating faster decision-making and consistent policy interpretation [5][10] Implementation and Capabilities - A proof of concept demonstrated the capability of agentic AI to operate at enterprise scale within eight weeks, showcasing its effectiveness in real-world conditions [3] - The solution integrates with IBM OpenPages and the broader watsonx portfolio, providing clear and traceable responses aligned with enterprise governance requirements [2][6] Governance and Compliance - The deployment aligns with IBM's watsonx.governance, enhancing AI governance, explainability, and compliance by design, thus supporting trusted decision-making under regulatory requirements [6][8] - The agentic AI solution is designed to operate under governance controls, allowing for reasoning and task orchestration while remaining integrated with enterprise systems [7][8]

Core Insights - Riyadh Air has been unveiled as the world's first AI-native airline, designed from the ground up without legacy systems, aiming to transform guest and employee experiences in aviation [1][4][9] - The collaboration with IBM Consulting has integrated AI into the airline's operations, leveraging a broad partner ecosystem to create a seamless technology strategy [2][4][9] Company Overview - Riyadh Air is a full-service airline owned by the Public Investment Fund (PIF) of Saudi Arabia, launched in March 2023, with plans to connect over 100 destinations globally by 2030 [10] - The airline is focused on sustainability and safety, featuring advanced aircraft with state-of-the-art cabin interiors and digital in-flight entertainment systems [10] AI Integration and Operational Efficiency - The airline's operations are built on a completely blank digital slate, allowing for the creation of new revenue opportunities and reinvestment in innovation [6][8] - AI capabilities are embedded into workflows to enhance employee engagement and improve the travel experience for guests [5][7] Employee and Customer Experience - Riyadh Air will introduce a personalized digital workplace powered by AI agents, simplifying HR workflows and enhancing employee self-service capabilities as the workforce is expected to double in the next 12 months [7] - AI-powered mobile applications will facilitate a connected journey for employees and guests, enabling tailored services and proactive support [7][8] Future Aspirations - The airline aims to redefine aviation standards and set a new benchmark for modern enterprises, with a vision to serve millions of travelers by 2030 [4][9]

Core Insights - IBM has announced the launch of three new AI agents on the Oracle Fusion Applications AI Agent Marketplace aimed at enhancing operational efficiency for Oracle Fusion Cloud Applications customers [1][4] - The new agents are built using Oracle AI Agent Studio and are designed to automate processes and workflows within Oracle Fusion Applications [1][5] - IBM plans to introduce additional agents for HR and supply chain, expanding its offerings in the Oracle ecosystem [1][2] Summary by Categories New AI Agents - The three new AI agents include: - Intercompany Agent: Automates the review of intercompany agreements [5] - Smart Sales Order Entry Agent: Streamlines the sales-order creation process by generating relevant data for the order-to-cash process [5] - Requisition to Contract Agent: Manages the workflow of converting purchase requisitions to contract purchase orders [5] Technology and Development - The agents are developed on IBM watsonx Orchestrate, an enterprise-grade AI solution that supports the deployment and governance of AI agents [2] - Watsonx Orchestrate operates on Red Hat OpenShift AI, providing a multi-agent approach that integrates with Oracle's AI offerings [2] Strategic Partnership - The collaboration between IBM and Oracle aims to leverage their combined expertise in enterprise AI and business transformation to drive innovation and competitive advantage for clients [1][4] - Oracle plans to make the IBM Granite 4.0 family of AI models available through its Oracle Cloud Infrastructure Data Science [2]

Core Insights - S&P Global and IBM have formed a strategic alliance to integrate IBM's watsonx Orchestrate framework into S&P Global's offerings, starting with supply chain management [1][2] - The collaboration aims to provide AI-powered tools to enhance insight and visibility in supply chain and vendor selection, leveraging S&P Global's proprietary data and analytics [2][3] Group 1: Partnership Objectives - The partnership seeks to empower organizations to improve procurement strategies, manage risks, and make informed decisions, ultimately driving greater efficiency in a complex market [3] - S&P Global plans to expand the integration of IBM AI technology into additional risk intelligence services within its Market Intelligence division [2][3] Group 2: Product Offerings - The new offering will include AI agents that combine data across procurement, trade, country, and supplier risk domains to expedite decision-making in supply chain management [2] - IBM's watsonx Orchestrate includes an Agent Catalog featuring over 500 pre-built agents and tools to streamline workflows across businesses [4] Group 3: Market Positioning - S&P Global's supply chain solutions are part of its Risk & Valuation Services portfolio, which aims to provide differentiated data and analytics to help identify risk exposures and create market transparency [3] - The collaboration aligns with S&P Global's vision for agentic AI, focusing on developing trusted AI agents to enhance enterprise value [3]

Core Insights - The next wave of AI is focused on generating revenue rather than just providing tools, which is seen as a trillion-dollar opportunity by industry leaders [2] - The transition from large models to intelligent agents marks a new era in AI, emphasizing automation and cash flow generation [2] - Companies' core competitiveness will depend on customized AI applications and quantifiable business outcomes [2][3] Data and Integration - High-quality data is essential for companies to realize the benefits of AI, with data integration being a critical factor [3] - The integration of AI with traditional automation technologies is a key focus for future AI development, particularly in manufacturing [3][4] Intelligent Agents - The demand for intelligent agents is growing, with various companies launching advanced AI models and solutions [6][7] - IBM has introduced a comprehensive enterprise-ready AI agent solution, emphasizing collaboration and integration with existing IT assets [7][8] Application and Use Cases - Intelligent agents are being applied in specific business scenarios, such as customer service and R&D, to enhance efficiency and reduce operational costs [10][11] - Companies are encouraged to start with small, specific use cases to validate ROI before scaling up [12] Market Trends - The sales of AI agents and related products are projected to significantly increase, with estimates suggesting revenues could reach $125 billion by 2029 and $174 billion by 2030 [6] - The competitive landscape is shifting as companies seek to leverage AI agents for greater returns on investment [12]