You build your first chatbot and it is working ok. Did you know that you can make chatbots even more interactive? That you can access conversation metadata and application variables inside the dialog nodes? You can even use predicates to tailor output to the usage scenario. As a follow up from our "Lessons and Tips from a Chatbot Hackathon", let's dig deeper into important features of the IBM Watson Conversation service on the IBM Cloud with Bluemix.
So this chatbot stuff is going crazy - everyone wants one, for good reason - Done right, they can seriously improve customer interactions with your business. Automated chats provide your organization with the ability to communicate, drive ecommerce, assist customer service teams and sales associates, and provide a range of personalization and customer engagement.
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.
On Sunday, May 28th Roland Garros (French Open) opened its gates to the latest running of the tournament. As one of the four Grand Slam events in Tennis, there is a keen focus on ensuring the event runs smoothly and provides fans with the experience and insights they would want from such a prestigious event. This year IBM has provided a solution using Watson Analytics to help the content team understand and review key web metrics to help guide decision making throughout the event.
Distinguishing between two speakers in a conversation is pretty difficult especially when you are hearing them virtually or for the first-time. Same can be the case when multiple voices interact with AI/Cognitive systems, virtual assistants, and home assistants like Alexa or Google Home. To overcome this, Watson’s Speech To Text API has been enhanced to support real-time speaker diarization.
Recently, I was a coach at a hackathon in Germany. Students were tasked to build solutions for a given topic and the solution had to include a chatbot based on the IBM Watson Conversation service. It was impressive how broad the solutions were, what other services were integrated with a chatbot and how easy it was to build a solution using IBM Bluemix. Here are some lesson learned and resources to get you started with your own chatbot
IBM at OSCON 2017 May 8-11, 2017 Austin Convention Center Booth 301 Thanks to everybody who stopped by our booth, chatted with our developers, and joined our sessions at OSCON 2017. Keep checking this blog for post-event interviews, and links to the IBM keynote and sessions. If you missed the book signing, get the e-book […]
This 3-part series of posts helps you understand the in-depth features of Serverless Computing via OpenWhisk. OpenWhisk offers an easy way to chain services where an output of first action acts as an input to the second action and so on in a sequence. This post describes the resource requirements for performing this lab.
In Part 1 of this series, you learned the basics of Serverless computing and the building blocks behind OpenWhisk. In this post, you will create Watson Services and add them to an OpenWhisk Sequence on IBM Bluemix. As our post is all about chaining Watson Services using OpenWhisk, in this section you will create three Watson Services