IBM Corp.’s announcement of watsonx a year ago sparked concerns about its advancements in artificial intelligence technology. However, the company has since shifted its focus towards AI middleware, allowing clients to utilize enterprise data with open source language models and IBM’s tools. This move marks a significant departure from its previous AI initiatives.
IBM’s long-term strategy, as highlighted by Crawford Del Prete and Sanjeev Mohan during an interview with theCUBE Research, focuses on AI middleware and cross-platform integration. The company is expanding its AI middleware across multiple platforms, including Amazon Web Services, rather than limiting it to IBM’s cloud ecosystem. Additionally, IBM is seeing success in its mainframe and hybrid cloud solutions, with unexpected growth in the mainframe segment.
Del Prete praised IBM’s hybrid cloud group and its ability to support multiple platforms while complementing existing systems. The company’s strong performance in mainframe and hybrid cloud solutions demonstrates its ability to innovate and adapt in traditional sectors. IBM’s strategy is centered around middleware as the software infrastructure layer, infused with AI and accessible across various platforms.
In conclusion, IBM’s strategic shift towards AI middleware and cross-platform integration is key to its long-term success. The company’s focus on enabling clients to leverage their enterprise data with open source language models and IBM’s toolset sets them apart in the AI landscape. By expanding their AI initiatives to multiple platforms and strengthening their mainframe and hybrid cloud solutions, IBM is positioning itself as a leader in the evolving AI technology sector.
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https://siliconangle.com/2024/05/24/unpacking-ibms-pivot-ai-middleware-ibmthink/