More and more chatbots are being developed and there are good reasons for it. Not all chatbot projects succeed. Often, missing user acceptance is stated. The dialog system might not have hit the nerve, might not have fitted into the target environment. Would you talk with a friend who does not remember your name is repeating the same five phrases over and over again? I would not. So what can be done to make chatbots more lively, more human-like? Here are some best practices and ideas on how to implement them.
Gotta read this if you have never used Watson Natural Language Understanding (NLU) before or if you had signed up for NLU's Free Plan. If you use the NLU Standard Plan, nothing changes but feel free to read on!
There is no shortage of potentially ground-breaking IoT ideas out there, but there aren't many IoT use cases to pull inspiration from for developers. To demonstrate the possibilities of what companies can build, the Mendix Evangelist team built an IoT application using IBM Watson IoT and IBM Blockchain in just 10 days without writing a single line of code. Here's how it was done.
Under-the-hood improvements to the general tagging feature of Visual Recognition have expanded its ability to accurately recognize the overall scene of an image. Read more.
The IoT Widget Library allows developers to rapidly build an user interface for their IoT application, processing real time data from the physical and simulated devices. This library, written in HTML 5, can be embedded in major UI frameworks, including Angular JS, React/Redux, Polymer, and HTML 5.
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.
In this blog post, we will show you how to create a social perception dashboard using Watson Tone Analyser and PubNub BLOCKS that analyzes and reflects the sentiments of social media users.
In 2017—the fiftieth anniversary of Star Trek—the dream of standing on the bridge of the USS Enterprise is one step closer to becoming reality, all thanks to IBM Watson! I sat down with Michael Ludden to talk all about how Watson is powering Ubisoft's incredible virtual reality game: Star Trek Bridge Crew.