Watson APIs

August 18, 2017

Bolton College used IBM Watson to build a virtual assistant that enhances teaching, learning and information access

Bolton College in the United Kingdom used Watson Conversation service to build "Ada," a virtual assistant that enhances teaching, learning and student access to information. The chatbot can already respond to over 2,000 questions across multiple domains. With this implementation the college is shaping how students learn, while saving money.

Continue reading

August 10, 2017

Building better chatbots: Two questions to ask before you get started

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.

Continue reading

August 9, 2017

The Chatbot Never Sleeps: How We Created a Chatbot Integration with Mendix That Enables 24/7 Customer Service

Chatbots are an essential way to let users interact with brands. They speak the same languages we do, answer questions and offer instant support, 24x7. Use Watson Conversation to rapidly build a chatbot that dramatically improves and automates customer engagement. Here's a step-by-step guide of how we created a chatbot using Watson Conversation with Mendix.

Continue reading

August 7, 2017

Australian startup Oovvuu defies shrinking advertising revenue challenges with Watson

In the fight against shrinking ad dollars, fake news, ever smaller editorial and news staff and increasingly dominant social media platforms, Oovvuu is using Watson to better connect viewers to the most relevant video and news content, generating valuable new advertising revenues for media and news organizations. Their platform can match up to 1000 videos to relevant news articles in less than a second — a 2400% increase over manual methods.

Continue reading

July 31, 2017

How enriched and faster news discovery fuels business development and growth

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.

Continue reading

July 20, 2017

Watch your tone! IBM expands on Watson’s tone sensitivity for customer service applications

Watson's Tone Analyzer API is expanding its emotional understanding to help businesses better solve customer engagement challenges. The new feature detects frustration, satisfaction, excitement, politeness, impoliteness, sadness and sympathy.

Continue reading

April 10, 2017

Watson Speech-to-Text is paying attention to what people are saying (even when you are not)

After a conference call, have you ever had someone say, “The explanation on that call was great.  Did anyone write it down?” Many conference calls, call center conversations and webinars are recorded for replay, but transcription can help listeners get more from calls. Phone conversations are an often-underutilized source of insights, mostly because the unstructured […]

Continue reading

April 6, 2017

Watson Natural Language Understanding for advanced text analytics

Text and other unstructured content from sources like social media posts, articles and blogs is filled with insights that might help your business. The problem is that it’s difficult to parse unstructured text to see trends. For example, are people making positive or negative comments about my product since it was released? You can’t easily quantify […]

Continue reading

April 4, 2017

Try Watson Knowledge Studio for free

Create and deploy custom annotation models without writing a single line of code. And at no cost. With our new IBM® Watson® Knowledge Studio free plan, developers can create custom annotator components and five machine learning projects using 5GBs of storage. Five and five. And there’s no time restriction to do so. Use both machine […]

Continue reading