IBM announced new additions to its Watsonx generative AI platform, including open sourcing some Granite big language models, expanding support for third-party AI models, and introducing new AI assistants. These moves reaffirm IBM’s commitment to open source technology, a position it has held since 2000. The announcement comes amidst similar advancements from OpenAI and Google in the field of multimodal Generative AI chatbots.
The new AI assistants on the Watsonx platform include the Watsonx Code Assistant for enterprise Java applications and Watsonx Code Assistant for Z, which are aimed at modernizing mainframe applications. Additionally, IBM has made its Granite Code LLMs available under open source licenses, ranging from 3 billion to 34 billion parameters in size. These models are designed for application modernization, code generation, bug fixes, code explanation, and documentation across 116 programming languages. IBM ensures compensation protection for users and the models have been trained on datasets from various domains while addressing governance, risk assessment, privacy protection, and bias mitigation.
IBM Consulting is leveraging these new AI assistants and models for its generative AI projects, with a focus on taking AI from planning stages to implementation. The consulting division is currently working on 300 generative AI projects with clients, utilizing a common layer called Consulting Advantage that provides security, PII, bias, governance, and cost frameworks.
In line with its open ecosystem strategy, IBM also announced new partnerships with AWS, Adobe, Meta, Microsoft, Mistral AI, and Palo Alto Networks to integrate their generative AI technologies into the Watsonx platform. These partnerships aim to bring additional capabilities and options to users while maintaining a focus on AI safety and enterprise solutions.
While IBM’s AI offerings may not be as flashy as those from other tech giants, analysts believe that the company’s focus on AI safety and enterprise solutions will appeal to businesses, especially in sectors like finance and government. IBM’s reputation for reliability and trustworthiness in AI will be valued by customers looking for a dependable AI partner, as opposed to the hype surrounding other high-profile generative AI systems.
Overall, IBM’s latest advancements in AI demonstrate the company’s dedication to innovation, collaboration with third-party technologies, and focus on addressing the practical needs of businesses in various industries. These developments position IBM as a key player in the enterprise AI landscape, offering reliable and scalable solutions for organizations looking to integrate AI into their operations.
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https://www.techtarget.com/searchenterpriseai/news/366585895/IBM-moves-ahead-with-open-source-multi-model-AI-strategy
