IBM has expanded its embeddable AI software portfolio with the release of three new libraries designed to help IBM Ecosystem partners, clients and developers more easily, quickly and cost-effectively build their own AI-powered solutions and bring them to market. 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 three new libraries include:
- IBM Watson Natural Language Processing Library: designed to help developers provide capabilities to process human language to derive meaning and context through intent and sentiment.
- IBM Watson Speech to Text Library: designed to enable speech transcription with speed and accuracy to help businesses improve customer service experiences.
- IBM Watson Text to Speech Library: designed to enable developers to convert written text into natural sounding audio with accuracy in a variety of languages and voices within an existing application.
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.