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Meet watsonx. 70 years advancing AI. IBM’s research in AI goes back to the 1950s and includes significant milestones like the supercomputer Deep Blue defeating chess grandmaster Garry Kasparov.
To build out its base of partners who create applications on the Watson platform, IBM consults with a network of venture capital firms, which advise IBM on which of their portfolio companies may be a logical fit for what IBM calls the Watson Ecosystem.
IBM Watson® Studio empowers data scientists, developers and analysts to build, run and manage AI models, and optimize decisions anywhere on IBM Cloud Pak® for Data. Unite teams, automate AI lifecycles and speed time to value on an open multicloud architecture.
IBM® watsonx™ includes three core components and a set of AI assistants designed to help you scale and accelerate the impact of AI across your business.
Mar 20, 2018 · The purpose of AI systems is to augment human intelligence, and today, we are excited to announce the next step on our journey to make AI more accessible for everybody with IBM Watson Studio.
IBM Watson services enables companies to do more with the talent they have by digesting implicit business knowledge and sharing it among employees in meaningful ways.
Put IBM Watson to work at scale in your business with IBM’s industry-leading AI expertise and portfolio of solutions at your side.
May 24, 2024 · It explained how IBM Watson can help you use natural language processing services to develop increasingly smart applications, focusing on using the Watson Natural Language Understanding and Watson Knowledge Studio services.
Use your business data and build, train, tune and deploy your models on watsonx.ai and integrate them into your existing chatbots to help deliver contextual responses. Consistently monitor your models for accuracy, drift and bias with the IBM® watsonx.governance™ toolkit for AI governance.
Dec 9, 2020 · Developed by IBM Research, the new capabilities are designed to improve the automation of AI, provide a higher degree of precision in natural language processing, and foster greater trust in outcomes derived from AI predictions.
