IBM watsonx

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.


2014. Watson AI connects to Twitter for the benefit of business users



IBM has decided to use its Watson supercomputer to help businesspeople and executives. They launched Watson Analytics which allows users to create analytical tables and graphs using queries written in human (English) language. However, analyzing a company's own data is too easy a task for Watson's artificial intelligence. Analyzing an entire social network like Twitter and providing valuable advice to an executive is a more worthy pursuit. To achieve this, IBM entered into an agreement with Twitter and gained direct access to its database. Company representatives say that businesses have been using social media crawlers for support and marketing purposes for some time, but this only "scratches the surface of the data river." The integration of Twitter and Watson will allow companies to delve much deeper—for example, using human feedback to develop new products or optimize production logistics.