IBM has made significant updates to its Watsonx AI and data platform, as well as introduced new data and automation capabilities to make AI more accessible and cost-effective for businesses. The company has open-sourced its IBM Granite language and code models, ranging from 3B to 34B parameters, allowing developers and experts to explore AI applications in enterprise environments. These models can be used for tasks like code generation, bug fixes, and repository maintenance.
IBM CEO Arvind Krishna emphasized the importance of open innovation in AI and collaboration with companies such as AWS, Microsoft, and Salesforce to expand Watsonx’s capabilities. Additionally, IBM has partnered with Red Hat to launch InstructLab, a model alignment technique that enables the development of custom models specific to business domains or industries. The Red Hat Enterprise Linux AI platform includes InstructLab to simplify AI deployment in hybrid infrastructure environments.
The company has also introduced new Watsonx Assistants, including Code Assistant for Java applications and Assistant for Z to enhance user interactions. AI assistants like Code Assistant for Z Service with code explanation aim to help users understand and document applications through natural language. IBM is expanding its GPU offerings and support for Red Hat Enterprise Linux AI to address the AI needs of enterprises and developers.
IBM’s AI-powered automation capabilities aim to shift from proactive management of IT environments to predictive automation, boosting speed, scalability, and profitability of a company’s infrastructure. Through a portfolio of automation, networking, and infrastructure management products, IBM helps businesses better manage their complex IT environments. The acquisition of HashiCorp will further assist organizations in automating hybrid and multi-cloud environments.
Overall, IBM’s updates and new capabilities in AI, data, and automation underscore the company’s commitment to making AI more open and accessible for businesses. The collaboration with industry partners, the launch of InstructLab, and the expansion of Watsonx Assistants demonstrate IBM’s efforts to empower developers and enterprises to leverage AI technologies effectively in their operations.
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