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IBM has announced an expansion to its embeddable AI software portfolio with the release of three new libraries designed to help IBM Ecosystem partners go for AI adoption; clients and developers more easily, quickly and cost-effectively build their own AI-powered solutions and bring them to market. Generally available today, the AI libraries were developed in IBM Research and designed to provide Independent Software Vendors (ISVs) across industries an easily scalable way to build natural language processing, speech to text, and text to speech capabilities into applications across any hybrid, multi cloud environment.
The expanded portfolio provides access to the same AI libraries that power popular IBM Watson products. It is designed to help lower the barrier for AI adoption by helping partners and clients address the skills shortage and development costs required to build machine learning and AI models from scratch. Developer and IT teams also have the flexibility to embed the new Watson libraries of choice into their applications to help create customized and compelling products without data science expertise.
“Enterprises must commit to a significant investment in expertise, resources and time required to build, deploy and manage AI-powered solutions,” said Kate Woolley, General Manager, IBM Ecosystem. “By bringing to market the same portfolio of embeddable AI technology that powers our industry-leading IBM Watson products, we are helping Ecosystem partners more efficiently deliver AI experiences that can drive business value for their clients.”
With the three new software libraries, developers can easily access AI capabilities and choose the specific functionality, such as natural language processing, that they want to embed in different parts of an application. The libraries include innovations developed by IBM Research as well as open-source technology and are designed to reduce the time and resources required for a developer to add powerful AI to an application.