IBM's Client Engineering team led the design and integration of the agentic AI solution, with GBM supporting delivery through project coordination and deep familiarity with e&'s OpenPages and watsonx Assistant environment. The work showcased AI capabilities that move beyond traditional question-and-answer tools, enabling reasoning and action while remaining aligned with e&'s governance, risk, and compliance framework. "Our ambition is to move beyond isolated AI use cases toward enterprise-scale agentic AI t ...

New AIpowered consulting service delivers a secured platform, shared standards, and reusable AI assets to help organizations accelerate growth and drive innovation  ARMONK, N.Y., Jan. 19, 2026 /PRNewswire/ -- IBM (NYSE: IBM) today announced IBM Enterprise Advantage, a first-of-its-kind asset-based consulting service that combines proven AI-tools and expertise to help clients quickly build, govern, and operate their own tailored internal AI platform at scale. Organizations can now use IBM Enterprise Advanta ...

Core Insights - Nearly 80% of executives expect AI to significantly contribute to revenue by 2030, up from 40% today, but only 24% have a clear view of the revenue sources [1][2] - AI investment is projected to surge approximately 150% by 2030, with 68% of executives concerned about integration with core business activities [2][3] AI as a Growth Driver - AI is emerging as a critical driver of enterprise growth, with executives needing to make bolder strategic bets despite a gap between expectations and outcomes [3] - By 2030, AI productivity gains are projected to increase by 42%, with 67% of executives expecting to capture most AI-enabled productivity gains [7][8] Shift in AI Spending Focus - Currently, 47% of AI spending is focused on efficiency, but this is expected to shift to 62% dedicated to innovation by 2030 [8] - 64% of executives believe competitive advantage will stem from innovation rather than resource optimization by 2030 [8] Leadership and Skills Transformation - By 2030, 74% of executives believe AI will redefine leadership roles, with 25% of enterprise boards expected to have an AI advisor or co-decision maker [8][9] - 67% of executives anticipate that job roles will become shorter-lived, and 57% expect most current employee skills to be obsolete by 2030 [8] Organizational Changes and Job Creation - AI-first organizations are 48% more likely to create new job roles and 46% more likely to redesign their organizational structure for greater AI value [9] - 59% of executives believe quantum-enabled AI will transform their industry by 2030, but only 27% expect to utilize quantum computing by then, indicating a significant opportunity for proactive organizations [8][9]

Core Insights - IonQ is a leading player in quantum computing, utilizing trapped-ion technology for stability, achieving 99.99% two-qubit gate fidelity, and investing in a quantum ecosystem [2][3] - UiPath is transitioning to an agentic AI orchestration platform, focusing on managing AI agents from various vendors, with accelerating revenue and significant market potential [6][8] - IBM is positioned as a less risky investment in quantum computing, leveraging AI growth and developing quantum technologies, including its Qiskit software platform and new quantum chips [10][11][12] IonQ - IonQ employs trapped-ion technology, which uses actual atoms, providing stability compared to traditional qubits [2] - The company has a market cap of $17 billion and is projected to generate around $110 million in revenue by 2025, indicating a high valuation relative to its revenue potential [4] - IonQ is investing in chip, software, and networking capabilities, along with having its own manufacturing and research center [3] UiPath - UiPath is focusing on the orchestration of AI agents, aiming to manage various AI solutions from different vendors [7] - The company is a leader in robotic process automation (RPA), which supports its transition to an agentic AI platform [7] - UiPath's revenue is accelerating, indicating a strong growth trajectory in the AI market [8] IBM - IBM has a market cap of $286 billion and is experiencing growth driven by AI and quantum computing initiatives [10][11] - The company has restructured by spinning off its low-gross-margin IT infrastructure service business, focusing on higher-margin AI and quantum solutions [10] - IBM's Qiskit software platform is a standard for quantum research, and it is developing quantum chips aimed at achieving fault tolerance [11][12]

International Business Machines Corporation (NYSE:IBM) is one of the stocks Jim Cramer shared his thoughts on. Cramer praised the company’s CEO, as he said: “Let’s take them one by one, starting with IBM, which has become an incredibly strong performer with a stock that’s nearly tripled since late 2022 when it broke free from its… all-time highs. It’s also rallied over 40% over the past 12 months. Horse. Take a look at all the daily charts here because this paints a very encouraging picture. Stock mark ...

Core Insights - IBM has shown significant stock performance in 2025, with shares rising 35%, outperforming the S&P 500, due to a renewed focus on hybrid cloud computing and enterprise AI [2][3] Group 1: Enterprise AI Momentum - The AI industry is rapidly evolving, with unprecedented capital investment in AI data centers, making it challenging to predict future winners [4] - IBM's strategy focuses on delivering tangible value to enterprise customers through AI solutions, rather than developing costly frontier AI models [5] - IBM has secured $9.5 billion in AI-related business, with 80% from consulting signings, and the AI consulting market is projected to grow from $8.75 billion in 2024 to $49.1 billion by 2032 [6] Group 2: Quantum Computing Potential - Quantum computing, while not yet commercially viable, has the potential to revolutionize the industry, with IBM aiming to demonstrate quantum advantage by the end of this year and deliver a fault-tolerant quantum computer by 2029 [8][10] - The quantum computing market is estimated to reach $97 billion by 2035, positioning IBM at the forefront of this long-term opportunity [11] Group 3: Reliable Dividend - IBM offers a reliable dividend, currently at $1.68 per share with a yield of approximately 2.2%, and has maintained continuous quarterly dividends since 1916 [12][13] - The stock is reasonably priced relative to free cash flow, with a forecasted free cash flow of $14 billion for 2025, resulting in a price-to-free cash flow ratio of about 20 [16] Group 4: Growth Prospects - While IBM is not classified as a growth stock, there is potential for free cash flow expansion in 2026 and beyond as the AI business grows, with quantum computing expected to become a significant revenue source [17]

NEW YORK and NEW ORLEANS, Jan. 16, 2026 /PRNewswire/ -- Former Attorney General of Louisiana Charles C. Foti, Jr., Esq. and the law firm of Kahn Swick & Foti, LLC ("KSF") are investigating the proposed sale of Confluent, Inc. (NasdaqGS: CFLT) to International Business Machines Corporation ("IBM") (NYSE: IBM). Under the terms of the proposed transaction, shareholders of Confluent will receive $31.00 in cash for each share of Confluent that they own. KSF is seeking to determine whether this consideration and ...

Key Takeaways IBM introduced Sovereign Core, AI-ready software for secure, sovereign-controlled technology environments.Built on Red Hat, IBM Sovereign Core enables local AI control, security, and compliance.IBM keeps identity, access, and encryption keys inside the boundary for secure local AI operations.International Business Machines Corporation (IBM) recently unveiled Sovereign Core, an AI-ready software designed to help enterprises, governments and service providers build and manage secure, self-contro ...

IBM has unveiled IBM Sovereign Core, a software product designed for enterprises, government bodies, and service providers seeking to manage AI workloads within secure and controlled technology environments. The software aims to meet global organisations’ rising need for operational authority over their infrastructure, as regulatory landscapes continue to evolve and requirements for auditable governance grow. IBM stated that its new solution enables customers to build, deploy, and oversee AI-ready envir ...

Market Overview - The global Cognitive Analytics Market was valued at USD 7.90 billion in 2025 and is projected to reach USD 81.46 billion by 2033, with a CAGR of 33.99% from 2026 to 2033 [1] - The U.S. Cognitive Analytics Market was valued at USD 2.17 billion in 2025 and is expected to grow to USD 22.03 billion by 2033, with a CAGR of 33.61% from 2026 to 2033 [3] Growth Drivers - The market is expanding due to increasing demand for data-driven decision-making, real-time insights, and the growing acceptance of AI and machine learning across various industries [1][3] - Factors contributing to the U.S. market growth include high AI adoption, advanced digital infrastructure, robust business expenditures, and cloud integration [3] Segmentation Analysis By Enterprise Type - Large Enterprises held a 61% market share in 2025, driven by large data volumes and complex business processes, while small and medium enterprises are expected to grow the fastest from 2026 to 2033 due to lower entry barriers from cloud-based solutions [4] By Application - Customer Management accounted for 31% of the market share in 2025, focusing on enhancing customer experience and retention, while Fraud Detection and Security is anticipated to grow the fastest from 2026 to 2033 due to increasing cyber threats [5] By End-User - The BFSI sector dominated with a 28% share in 2025, relying heavily on advanced analytics for fraud prevention and risk assessment, while Retail is expected to experience the fastest growth from 2026 to 2033 as companies leverage cognitive analytics for demand forecasting and personalized promotions [6][7] By Deployment - Cloud deployment led with a 64% market share in 2025 and is projected to grow at the fastest rate from 2026 to 2033, attributed to its scalability and cost efficiency [8] Regional Insights - North America held the largest revenue share of approximately 38% in 2025, benefiting from early AI adoption and a strong presence of major technology providers [9] - The Asia Pacific region is expected to grow at the fastest CAGR of about 15.22% from 2026 to 2033, driven by rapid digital transformation and increasing AI investments [10] Market Trends - There is a rising enterprise focus on data-driven decision-making using AI-powered insights, which enhances operational efficiency and competitive advantage through real-time analysis of consumer behavior and market trends [11] Key Players - Major companies in the cognitive analytics market include Google LLC, Oracle Corporation, IBM Corporation, Microsoft Corporation, and Amazon Web Services, among others [13]