IBM showcased innovative generative AI technologies at its annual Think conference, aiming to transform automation in various business functions. These technologies are designed to simplify work processes and improve efficiency. IBM introduced tools like the open source Granite code model and Watsonx Code Assistant for enterprise Java applications to support developers in software development. These tools can streamline coding, offer bug fixes, code translation, and generate unit tests, increasing test coverage by up to 50%.
IBM is also focusing on automating IT operations to enhance system reliability. Updates to its IT automation portfolio, including intelligent remediation for Instana and GPU optimization for Turbonomic, aim to assist site reliability engineers in diagnosing and solving IT problems. Generative AI technologies can identify probable causes of issues and recommend solutions, significantly improving true positive rates and reducing false positives compared to traditional tools.
In the manufacturing sector, IBM’s generative AI is revolutionizing plant operations with automated work order intelligence in the Maximo Application Suite. This feature predicts work order fault codes using synthetic data models, potentially saving 10,000 hours of productivity annually. The open source Granite time series models, like the Tiny Time Mixer (TTM) model, provide better continuous monitoring of assets and processes, enhancing operational efficiency.
IBM is extending automation benefits to office tasks with the Watsonx Orchestrate Assistant Builder, allowing companies to create assistants tailored to specific tasks across departments. Generative interfaces for automation tasks are being developed to enable users to describe their needs in plain English and streamline processes. Early adopters have seen significant time reductions in executing HR tasks, from hours to minutes.
At Think 2024, IBM’s commitment to leveraging generative AI for business automation was evident. The showcased innovations promise unprecedented efficiencies and capabilities across various sectors, highlighting the potential of these technologies in transforming the future of work. IBM’s advancements in generative AI are set to redefine automation across industries, enabling organizations to streamline processes, enhance productivity, and drive innovation.
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