Updates to Watson Visual Recognition – Price reduction for Custom Classification, and Food and Explicit Models are now GA
Announcing updates to the IBM Watson Visual Recognition: A price reduction for Custom Classification events, and two models becoming generally available. Our blog highlights all these exciting changes.
IBM Watson Studio and Watson Knowledge Catalog include Data Refinery for self-service data preparation. Data Refinery puts data pre-processing and feature engineering in the hands of data scientists, enabling faster data insights.
Topcoder is home to the world’s largest network of designers, developers, and data scientists. Working with IBM and Topcoder, you can get a business ready low cost chatbot built with Watson Assistant for just $10,000 in just 2-6 weeks
We’ll be announcing a number of changes to the Watson Visual Recognition service at Think 2018, IBM’s flagship conference, on March 19-22. These updates will include new feature capabilities, developer tools and improvements to user experience.
While chatbots continue to grow in popularity, businesses often overlook important issues related to morals and ethics of chatbots and AI. Customers need to know when they are communicating with a machine, and that brands will protect their privacy and data in today’s interconnected world.
We're excited to announce new changes to the Watson Tone Analyzer service that reflect user feedback. Three key changes include removing social tones, combining anger and disgust tones and outputting only dominant tones for text. These changes are active as of September 25. Learn more.
Key points: – Woodside Energy has been working with Watson to make decades of expertise available to its engineers. – Watson ingested the equivalent of 600,000 pages of information, or 30 years of knowledge – Watson helped reduce the time spent searching for expert knowledge by 75% Learn more Woodside Energy is Australia’s largest […]
Chatbots are the new apps, offering scalable, instantaneous, 24x7 interaction that is difficult to achieve with human agents. Learn how an IBMer built a chatbot that could answer questions about herself — an interactive, conversational resumé of sorts. Through trial and error, she found two important considerations to take into account when building a chatbot.
Watson Discovery News is like having a large team of tireless researchers vigilantly seeking opportunities and threats in news and blog content, only faster, and with more precision. Watson's NLP-enriched news search sources from more than 100,000 outlets, with 300,000 new articles added daily, in real-time. Build powerful news queries in under five minutes.