| watsonx | |
|---|---|
 | |
| Developer | IBM |
| Initial release | May 9, 2023; 2 years ago (2023-05-09)[1] |
| Written in | Python |
| Engine | Multiplelarge language models (LLMs) |
| Platform | Cloud computing platforms |
| Type | |
| License | Proprietary |
| Website | www |
| Part of a series on |
| Machine learning anddata mining |
|---|
Learning with humans |
Model diagnostics |
Watsonx is a platform byIBM for building and managingartificial intelligence (AI) applications for business use.[2] Announced on May 9, 2023, the platform provides software tools and infrastructure for companies to work with bothIBM's own AI models and models from third-party sources.[1][3]
The platform consists of three main components:watsonx.ai, a studio for training, validating, and deploying AI models;watsonx.data, a system for storing and managing data used by the models; andwatsonx.governance, a toolkit to ensure AI applications are compliant with company policies and regulations.[4] A key feature is its ability to be trained on a company's private data to perform specialized tasks, a process known asfine-tuning. IBM states that this client-specific data is not used to train its own models.[5] Like theWatson computer, it is named afterThomas J. Watson, IBM's founder.[1]
Watsonx was revealed on May 9, 2023, at the annualThink conference of IBM as a platform that includes multiple services.[6][7] Just likeWatson AI computer with the similar name, Watsonx was named afterThomas J. Watson, IBM's founder and first CEO.[1]
On February 13, 2024,Anaconda partnered with IBM to embed itsopen-sourcePython packages into Watsonx.[8]
Watsonx is currently used atESPN's Fantasy Football App for managing players' performance.[9] It is also used by Italian telecommunications companyWind Tre.[10] Watsonx was used to generate editorial content around nominees during the66th Annual Grammy Awards.[11]
2025Wimbledon tapped into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM watsonx.[12]
IBM watsonx has also been used in the banking sector to enhance fraud detection and Anti-Money Laundering (AML) systems by integrating with IBM Safer Payments, enabling improved detection and prevention strategies.[13]
Watsonx.ai is a platform that allows AI developers to leverage a wide range ofLLMs under IBM's ownGranite series and others such asFacebook'sLLaMA-2,free and open-source modelMistral and many others present inHugging Face community for a diverse set of AI development tasks.[14][15] These models come pre-trained and are designed to excel in various Natural Language Processing (NLP) applications, encompassing question answering, content generation, summarization, text classification, and data extraction. The platform allowsfine-tuning with itsTuning Studio, allowing those models to learn the data provided by customers.[4]
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.[16] 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 possess technical expertise. This approach prioritizes data security and compliance.[4]
Watsonx.governance is a platform that utilizes IBM's AI governance capabilities to support organizations in implementing comprehensive AI lifecycle governance.[17] This helps them manage risks and maintain compliance with evolving AI and industry regulations. The platform allows organizations to reduceAI bias by overseeing their AI initiatives, leveraging software automation to enhance risk mitigation, regulatory compliance, and ethical considerations.[4]
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