IBM watsonx
Enterprise platform that accelerates the adoption of generative AI in core workflows to improve productivity. It features an open-source model library and allows you to connect your own and run it on any cloud. Governance and security tools ensure compliance.
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2018. IBM unveiled AI assistant for businesses, and its name is... Watson.
In "The Hitchhiker's Guide to the Galaxy," the superintelligent robot Marvin was constantly given only the simplest of tasks, leaving him perpetually depressed. The same could happen to IBM's artificial intelligence, Watson. Developers will make it work as a voice assistant, answering simple questions about the weather, traffic, schedules, or store items. People won't even know they're talking to Watson. Because now any company can create its own voice assistant on the Watson Assistant platform, and name it, say, Eve.
2017. IBM launched Watson Marketing Insights service
IBM has introduced Watson Marketing Insights, a service for studying customer behavior. This cloud-based solution continuously studies customer behavior and identifies its potential impact on business. Marketers can use the data obtained through this tool to launch targeted campaigns aimed at increasing customer loyalty and achieving commercial success. IBM Watson Marketing includes an audience understanding engine—a cognitive component—that identifies key predictive indicators for customer data. The system relies on metrics of consumer interactions with a brand across various channels, including email, digital media, social media, and physical stores.
2017. IBM opens access to Watson's core component
Two years ago, IBM launched Watson Developer Cloud, which provides developers with APIs to Watson's natural language processing capabilities. Now the company is opening access to Watson's core component, the IBM Machine Learning platform (though not yet from the cloud, but to corporate data centers). One of the platform's key features is a built-in recommendation engine, which is designed to help data scientists choose algorithms for their projects. The engine evaluates a number of parameters, including the type of records a company wants to process and how quickly results are needed. The developers say IBM Machine Learning works with any programming language and supports most popular AI frameworks in the industry, including SparkML, which IBM is actively developing.
