October 11, 2017 By Deepika Devarajan 2 min read

Security? Languages? Regions? Get it all with Watson Discovery and NLU

We have made several recent advances with two of our key Watson services – Watson Discovery and Watson Natural Language Understanding (NLU) to help users expand their footprint with Watson around the globe.

Go Premium

Premium Plans are now available for clients who need data and compute isolation to meet higher information security requirements. Some of the key features of Premium Plans include single tenant deployment architecture, end-to-end encryption, higher plan volumes, guaranteed SLAs and more. If you are interested in learning more about Premium Plans, contact us.

We Have EU Covered

If you are in Europe and want to keep your data in Europe, you now have access to Watson Discovery and Watson NLU on our Frankfurt Data center. European customers will also experience much better latency as the compute and storage resources are closer geographically. To deploy Discovery or NLU in the EU region, select “Germany” from the “Region to Deploy” dropdown when provisioning a new instance.

Language Expansion

Multi-lingual basic language support for Watson Discovery is now available in Arabic, French, German, Italian, Japanese, Korean, Portuguese (BR). Spanish is now fully supported along with English. Learn more about basic and full support. Watson NLU already boasts a large number of supported languages with automatic language detection.

What is Watson Discovery?

Watson Discovery is a fully featured cloud native insight engine that enables users to unlock hidden value in data to find answers, monitor trends, and surface patterns in their own content as well as intelligence-infused news from around the world. Through its data-to-insight pipeline Watson Discovery offers a full suite of capabilities including unstructured and structured data ingestion, document conversion, NLP enrichment, and querying using out-of-the box AI capabilities such as anomaly detection, aggregate NLP analysis, and trainable machine learning based relevancy.

What is Watson NLU?

Watson Natural Language Understanding (NLU) is a stand-alone Watson Service that allows developers to analyze text and extract meta-data from unstructured content such as concepts, entities, keywords, categories, sentiment, emotion, relations, semantic roles. Whether it is social media monitoring, content recommendation, or advertising optimization, NLU’s powerful natural language processing features available via simple API calls is popular and broadly adopted for advanced text analytics.

More from Announcements

Enabling customers to streamline document management with IBM watsonx.ai

2 min read - At Accusoft, our mission is to help organizations solve their most complex content workflow challenges by helping them adopt content processing, conversion and automation solutions. We accomplish this through our flagship product, PrizmDoc, which enables developers to enhance their applications with in-browser document viewing and collaboration functionality.  Over the past several years, we’ve been closely monitoring the evolving role of artificial intelligence (AI) in delivering cutting-edge solutions to our customers. Unlike many competitors who hastily incorporate AI  to check a…

Success and recognition of IBM offerings in G2 Summer Reports  

2 min read - IBM offerings were featured in over 1,365 unique G2 reports, earning over 230 Leader badges across various categories.   This recognition is important to showcase our leading products and also to provide the unbiased validation our buyers seek. According to the 2024 G2 Software Buyer Behavior Report, “When researching software, buyers are most likely to trust information from people with similar roles and challenges, and they value transparency above other factors.”  With over 90 million visitors each year and hosting more than 2.6…

Manage the routing of your observability log and event data 

4 min read - Comprehensive environments include many sources of observable data to be aggregated and then analyzed for infrastructure and app performance management. Connecting and aggregating the data sources to observability tools need to be flexible. Some use cases might require all data to be aggregated into one common location while others have narrowed scope. Optimizing where observability data is processed enables businesses to maximize insights while managing to cost, compliance and data residency objectives.  As announced on 29 March 2024, IBM Cloud® released its next-gen observability…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters