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NLP in the real world: How Global-Regulation organized its comparative law search engine with Watson

As I’ve previously discussed, Natural Language Processing (NLP) is making its way into every ...

What’s next for NLP?

In my posts over the past few months, I’ve explained what NLP is, why it’s the backbone of AI integration in industries today, and how NLP can be put to work inside organizations. As we close out 2019 and look ahead to 2020, I want to address the...

Run Watson Language Translator service on any cloud

At IBM, we understand that you need a fully-integrated data and AI platform that modernizes how you collect, organize and analyze data on a global scale. As businesses expand to new markets, the need for multilingual support is key. Our answer to ...

How to get started with Natural Language Processing

Natural Language Processing (NLP) is a massive space within artificial intelligence (AI), and enterprises are currently integrating NLP technologies into their existing platforms more every day.

The future of the fan experience at the US Open

With the help of IBM, the US Open is transforming its technology operations to create the future of championship sporting events.

Run Watson APIs on any cloud

IBM is excited to officially announce Watson API Kit on IBM Cloud Pak for Data, which will allow clients to combine and utilize our Watson APIs anywhere.

Watson services now available on-premises

IBM now extends our leadership in data stewardship and privacy by announcing Watson Assistant and Watson Speech to Text services as available on IBM Cloud Private. This announcement extends Watson’s commitment to extending our capabilities across ...

IBM named a “Leader” in Forrester Predictive Analytics and Machine Learning report

Watson Studio was named a “Leader” in the Forrester Q3 2018 Wave report on Multimodal Predictive...

Beyond the chatbot: Why conversational AI is crucial to your business

Learn conversational AI use cases, how to scale AI across your organization, and how to prove value ...