IBM released three ‘plug-and-play’ IBM Watson AI libraries that allow developers to implement trained AI models in applications. Big Blue wants to help developers adopt AI functionality.
The three AI libraries allow trained AI models to be directly implemented in software, eliminating the need to train AI models with large amounts of data. According to IBM, developers can save large amounts of time. The libraries provide a relatively easy way to add AI functionality to applications in any cloud environment.
Three IBM Watson models
Each library covers an IBM Watson AI model. The three ‘plug-and-play’ models are developed through open-source elements.
First of all, there’s the IBM Watson Natural Language Library. The library allows developers to build applications that can use spoken language to process meaning and context through intentions and feelings.
Secondly, the IBM Watson Speech to Test Library enables applications to convert speech into text quickly and accurately. Finally, the IBM Watson Text to Speech Library allows text to be converted into speech.
The introductions expand Big Blue’s portfolio of AI solutions for application development. Some of the solutions previously made suitable for applications include IBM Watson Assistant, IBM Watson Discovery, IBM Watson Instana Observability, IBM Maximo Visual Inspection and IBM Watson APIs.