International Business Machines Corporation - IBM STOCK NEWS

Rapidus and IBM announced a joint development partnership to establish mass production technologies for chiplet packages. The collaboration builds on an existing agreement for 2nm node technology. Rapidus will leverage IBM's expertise in semiconductor packaging to innovate in high-performance chips. This partnership is part of Japan's NEDO project focused on developing 2nm-generation semiconductor technology. Engineers from both companies will work at IBM's North American facilities for R&D and manufacturing. The deal aims to strengthen Japan's role in the semiconductor supply chain.

Sustainability leaders from Coca-Cola HBC, EY, and IBM have emphasized the significant role of corporate governance in their Environmental, Social, and Governance (ESG) strategies. During a discussion highlighted by IBM's Vice President of ESG Strategy and Programs, Jonah Smith, the consensus was that corporate governance encompasses an internal system of practices, controls, and procedures designed to ensure ethical conduct, legal compliance, and effective decision-making. Smith underscored IBM’s commitment to integrating innovations and policies that enhance ESG progress, underpinned by ethics, trust, transparency, and accountability.

Careshia Moore, CEO of Usher Raymond IV's nonprofit 'Usher's New Look' (UNL), announced a pioneering AI-focused partnership with IBM. The collaboration aims to equip over 50,000 young people with AI and career readiness skills through IBM's SkillsBuild program, offered for free. This initiative is part of UNL's ongoing efforts to provide career development opportunities to underserved youth. The news was shared during the 2023 Disruptivator Summit in Atlanta, GA.

ID Dataweb has announced an expanded relationship with IBM to integrate ID Dataweb's identity verification workflows within IBM Security Verify. This collaboration aims to enhance identity verification by combining the strengths of both platforms.

The integration promises benefits such as pre-built templates for creating identity-proofing journeys, orchestration tools for managing identity verification processes, and IAL 2 certified workflows for seamless digital experiences. This collaboration aims to mitigate fraud risks such as Account Takeover (ATO) and Account Opening fraud.

IBM's innovative approach to Identity and Access Management (IAM) will facilitate smooth integration, offering joint customers streamlined fraud prevention and advanced identity verification capabilities.

Red Hat and Nutanix announced an expanded collaboration using Red Hat Enterprise Linux (RHEL) as part of the Nutanix Cloud Platform. This partnership aims to enhance hybrid multicloud environments by integrating RHEL for traditional operating system capabilities within Nutanix's offerings. The collaboration will support modern application deployments, offering performance and capacity scalability, and cost efficiencies by eliminating unused resources. Nutanix will also contribute to CentOS Stream, focusing on AI workloads. This expanded partnership seeks to leverage the strengths of both companies to manage market disruptions and support enterprise customers in cloud and AI innovations.

IBM and Salesforce have expanded their partnership to enhance AI and data ecosystems. This collaboration integrates IBM's watsonx AI and Data Platform with Salesforce's Einstein 1 Platform. Customers will benefit from IBM Granite models for generative AI, zero copy data integration, and pre-built actions and prompts in CRM solutions. This alliance aims to provide enterprise-grade AI that is secure, trustable, and cost-effective. IBM and Salesforce are also committed to responsible AI development, as Salesforce joins the AI Alliance. The integration is expected to offer significant improvements in data-driven decision-making for various industries.

At the IBM Think conference on May 21, 2024, IBM revealed its collaboration with Amazon Web Services (AWS) to integrate the full watsonx AI and data platform with AWS services.

Key highlights include the introduction of watsonx.governance on AWS, aimed at helping clients scale AI responsibly. This integration supports compliance with regulations like the EU AI Act by managing model risk and governance for AI initiatives.

The watsonx platform, including watsonx.ai and watsonx.data, will be available on AWS Marketplace, offering customers flexibility, scalability, and enhanced AI governance.

IBM's hybrid cloud strategy and collaboration with AWS aim to streamline workflows, accelerate AI projects' time-to-market, and manage AI across complex IT environments. This initiative is expected to add value to clients' AI endeavors and strengthen AI governance and compliance.

IBM announced new updates to its watsonx platform at the THINK conference, emphasizing open-source AI development, data, and automation capabilities. Key initiatives include releasing the Granite models into open source, launching InstructLab with Red Hat, and strengthening collaborations with major tech firms like AWS, Adobe, and Microsoft. IBM aims to infuse generative AI into various products and services, with new AI assistants and enhanced GPU offerings. The company plans to offer new data products and capabilities for AI workloads, and its acquisition of HashiCorp is set to bolster multi-cloud automation. CEO Arvind Krishna highlighted IBM's commitment to open-source innovation, likening it to the success of Linux and OpenShift.

IBM's latest study reveals that CEOs are rapidly adopting generative AI, facing workforce and cultural challenges. Of the 3,000 CEOs from 30+ countries surveyed, 64% indicate that AI success depends on people's adoption, not just technology. However, 61% are pushing for faster implementation than some employees are comfortable with. Nearly half are hiring for new AI roles, but 56% haven't assessed AI's workforce impact. 47% foresee workforce reduction or redeployment due to AI in the next year. The study highlights the need for a cultural shift, with 57% of CEOs valuing cultural change over technical challenges for becoming data-driven. Governance is critical, yet only 39% have good AI governance. CEOs aim for innovation, but focus on short-term targets may hinder long-term progress.