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The high-level architecture of IBM's DeepQA used in Watson [9]. Watson was created as a question answering (QA) computing system that IBM built to apply advanced natural language processing, information retrieval, knowledge representation, automated reasoning, and machine learning technologies to the field of open domain question answering.
"Watson will help promote IBM's business intelligence, data analytics and data-warehousing software sales. It's all the software you want to use as a business solution," says Louis Miscioscia, an ...
IBM Cognos Analytics with Watson (aka Cognos Analytics, and formerly known as IBM Cognos Business Intelligence) is a web-based integrated business intelligence suite by IBM. It provides a toolset for reporting, analytics, scorecarding, and monitoring of events and metrics. The software consists of several components designed to meet the ...
Watsonx.ai is a platform that allows AI developers to leverage a wide range of LLMs under IBM's own Granite series and others such as Facebook's LLaMA-2, free and open-source model Mistral and many others present in Hugging Face community for a diverse set of AI development tasks.
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The redesign will be version 11 and an upgrade from Cognos Business Intelligence 10.x. The differentiation in the version 11 release also required renaming to IBM Cognos Analytics, based on the same self-service design principles as Watson Analytics. The redesigned Cognos product also features smarter search that works in-context.
IBM announced the launch of Data Science Experience at the Spark Summit 2016 in San Francisco. IBM invested $300 million in efforts to make Spark the analytics operating system for all of the company's big data efforts. [3] In June 2017, Hortonworks and IBM announced their partnership to collaborate on IBM's Data Science Experience. Hortonworks ...
IBM held a conference named World of Watson, centered around its AI products and Watson, a QA computer AI system in Las Vegas, on October 29 – November 2. [2] IBM delivered several speeches related to Watson's capabilities and its possible integration to health and business sectors, which were criticized 2 years later by IEEE Spectrum to be exaggerated.
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