In this Innovation Profile, initially featured at the Generative AI Digital Summit, Kenny Mullican dives into IBM’s new enterprise-ready data and AI platform watsonx, which was unveiled at the recent Think 2023 conference in May.
IBM is on our Cloud Wars Top 10 list, which ranks the most influential cloud vendors in the world.
00:42 — watsonx is the next evolution of IBM’s AI technology, which previously was best known for IBM Watson, an AI supercomputer system that won $1 million on ‘Jeopardy.’ watsonx is scalable for enterprises of all sizes and comes in three versions: watsonx.data, watsonx.ai, and watsonx.governance.
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01:09 — watsonx.data allows you to handle diverse data types, including big BI and large AI datasets.
01:30 — watsonx.ai is where you can easily train, validate, tune, and deploy your own models or take advantage of pre-built models from IBM and third parties.
02:00 — watsonx.governance ensures responsible, transparent, and explainable data and AI workflows. It addresses concerns about data reliability, security, and privacy. It lets you keep control over your own data.
02:35 — watsonx was built on open-source platforms using Red Hat’s OpenShift, enabling deployment in various environments. It can really take advantage of the hybrid cloud, it can be on-premises, and it can be put in Azure, AWS, Google Cloud, IBM’s own cloud, wherever you want to host it, as long as you can take advantage of these containerized objects that you can use with Red Hat’s OpenShift. That’s an important differentiator.
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