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Watsonx.data is a platform designed to assist clients in addressing issues related to data volume, complexity, cost, and governance as they scale their AI workloads. [14] This platform facilitates seamless data access, whether the data is stored in the cloud or on-premises, through a single entry point, offering simple use for users who may not ...
IBM Granite is a series of decoder-only AI foundation models created by IBM. [3] It was announced on September 7, 2023, [ 4 ] [ 5 ] and an initial paper was published 4 days later. [ 6 ] Initially intended for use in the IBM's cloud-based data and generative AI platform Watsonx along with other models, [ 7 ] IBM opened the source code of some ...
To develop Project Debater, the IBM Research team had to endow the system [19] with the following AI capabilities: Data-driven speech writing and delivery: Project Debater is the first demonstration of a computer that can digest massive corpora, and given a short description of a controversial topic, write a well-structured speech, and deliver ...
IBM’s AI Fact Sheets is one of those ideas. AI Fact Sheets are a lot like packaged food nutrition labels. They contain information about an AI model’s development, capabilities, benchmark ...
The proliferation of other AI software, like Dall-E, also means creative processes like graphic design will increasingly be the domain of people with ideas rather than those who spent years honing ...
Watson Studio provides access to data sets that are available through Watson Data Platform, on-premises or on the cloud. The platform also has a large community and embedded resources such as articles on the latest developments from the data science world and public data sets. The platform is available in on-premises, cloud, and desktop forms.
A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." [16] Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, [8] and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. [9]
Many AI platforms use Wikipedia data, [273] mainly for training machine learning applications. There is research and development of various artificial intelligence applications for Wikipedia such as for identifying outdated sentences, [ 274 ] detecting covert vandalism [ 275 ] or recommending articles and tasks to new editors.