IBM has announced an expansion of its embeddable AI software portfolio with the launch of three new libraries created to help IBM Ecosystem partners, developers, and clients more easily, quickly, and cost-effectively build their AI-powered solutions and bring them to market.
Now generally available, the AI libraries were designed in IBM Research and developed to provide Independent Software Vendors (ISVs) throughout industries an easily scalable method to build natural language processing, speech-to-text, and text-to-speech capabilities into applications across any hybrid, multi-cloud environment.
The expanded portfolio enables access to the AI libraries that power famous IBM Watson products. It is designed to assist lower the barrier for AI adoption by helping clients and partners address the skills shortage and development costs needed to build machine learning models from scratch. IT and developer teams also have the liberty to embed the new Watson libraries they prefer into their applications to help create customized products without data science expertise.
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With the three new software libraries, developers can access AI capabilities. They can also choose the specific functionality, e.g., natural language processing, that they want to embed in various parts of an application. The libraries include innovations by IBM Research as well as open-source technology and are designed to decrease the time and resources taken by a developer to add powerful AI to an application.
The release is built on the existing portfolio of embeddable AI products of IBM, which includes industry-leading products such as IBM Watson Discovery, IBM Maximo Visual Inspection, IBM Instana Observability, IBM Watson APIs, and IBM Watson Assistant. With IBM’s embeddable AI portfolio, CXOs and other IT decision-makers can utilize AI to assess business insights and build enhanced end-user experiences.
