Bob O'Donnell is the president, founder and chief analyst at TECHnalysis Research, a technology market research and consulting firm that counts many of tech industry’s largest vendors among its clients.
I'm a tech industry market research analyst that writes about 5G, Edge Computing, AI, Cloud Computing, IoT, Smart Devices and more.As excited as many companies may be about integrating Generative AI into their organizations, many are discovering there are still lots of small stumbling blocks along the way.
The new Code Assistant for Z and Code Assistant for specialized domains leverage IBM’s newly updated assistant technology as well as its own open-source Granite code foundation models, which were also announced at Think. Both assistants are designed to address the tough, real-world issues facing organizations that no longer have employees who know how to program in COBOL and other older languages but still depend on some of these applications for critical functions within their companies.
In addition to IBM’s own models, the company also announced partnerships with AWS, Meta, Adobe, Microsoft, Mistral, Salesforce, and SAP among others to integrate and or co-develop new models for integration into watsonx. While the specifics of the partnerships vary, all provide an easier way for customers who work with both IBM and the partner companies to use their tools together—another challenge that’s plagued some early GenAI implementations.
On the application development front, IBM also unveiled what they’re calling deployable architectures. Put simply, these are like templates for the application building process that integrate prebuilt infrastructure elements and cloud connections along with a number of best practices that IBM’s consulting group has learned over the last few years.
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