At Twilio SIGNAL 2017, I hosted a breakout session with Michael Ludden, Director of IBM Watson Labs, titled “Innovation in the Cognitive Era.” With the prevalence of new technology, inspiring all kinds of innovation and disruption, now is the most exciting time to be a developer.
Is it May? Then is must be Twilio time! For the third year, IBM is a top sponsor of the Twilio Signal conference. This year's event, to be held at Pier 27 in San Francisco, promises to be another banner event for IBM and Twilio. If you haven't been to a Signal event, there's still time to register. It is a great event for developers!
At Twilio Signal, IBM announced that IBM Watson Message Sentiment and IBM Watson Message Insights will be available as Add-Ons in Twilio’s recently announced Marketplace.
For the second year, IBM Bluemix will be sponsoring the Twilio Signal conference. With two speaking sessions, a bevy of demonstrations at our booth, as well as working side-by-side with Watson, we’ve packed in a lot of activities for this year’s Signal conference.
When an unhappy customer walks through the door there are a multitude of signs and signals as to how they are feeling. However, over the phone it can be more difficult to judge a customer’s emotions when all that’s expressed are words and tone. Wouldn’t it be great to have help identifying how a customer is feeling? In this post we’re going to do just that using a Cloud Foundry Java application and two Watson APIs inside IBM Bluemix along with Twilio Programmable Voice.
The IBM Bluemix platform is home to an ever growing number of cognitive computing services that, as developers, we can use in our applications to learn more about our data. Earlier this year fellow Twilio developer evangelist Ricky Robinett showed us how combining Watson’s question and answer API, Twilio and Node.js could get us answers to health questions. Also living under the Watson banner, AlchemyAPI is a set of services for understanding content and context within text and images. Today we're going to look into analysing the sentiment of text messages using one of the AlchemyAPI services hosted on Bluemix. We'll build up an application that receives SMS messages and deals with them differently based on the sentiment in the message.
What if customer feedback through your cloud-based application automatically drove business improvements? Jake Peyser, IBM Bluemix Developer Advocate, will demonstrate how to do it—by creating a cloud application, Assistant Shop.r, that leverages Watson and other Bluemix cognitive business services in real-time customer interactions.
I recently had the pleasure of speaking at KrankyGeek 2015; this post summarizes my presentation “Mixing Data and Video – IBM Bluemix, Watson, and Twilio”, which at its core was about improving the doctor/patient experience. I never heard of this conference before and wasn’t quite sure what I was in for but to my surprise it was a wonderful event.