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Defining AI

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An exploration of the growing importance of voice user interfaces and the impact on information architecture

Article by Katie Richmond
Share:Is Voice UI the future of user experience design?
6 min read

This nascent technology will undoubtedly be the key to removing developer bias—and its prominence is just around the corner

Article by Jeff Steen
Share:The Future of your Hyperautomation Strategy is Conversational AI
6 min read

Ideas from Deloitte: How the next generation digital workplace will leverage technology to create personalized experiences for workers.

Article by Greg Vert
Share:Using Conversational AI to Make Humans Better at Work, and Work Better for Humans
11 min read

Designers need a methodology that helps them weigh the benefits of using a new technology against its potential harm

Article by Caroline Sinders
Share:We Need a New Approach to Designing for AI, and Human Rights Should Be at the Center
6 min read

Perhaps an easier way to illustrate what conversational AI is is to clarify what it’s not. Here are myths about conversational AI that you should expel from your mind.

Article by Lance Christmann
Dispelling Some Common Myths About Conversational AI

Conversational AI represents a vast, emergent set of technologies obscured by layers of hype and misinformation. Here are some common myths:

  • Conversational AI is just talking to machines. 
  • Business-minded people know enough to pick the best conversational AI platforms
  • Conversational AI is an Add-On. 
  • Pre-trained bots are less work. 
  • You should start big.
  • Automating current workflows is optimal
  • Phones are outdated and irrelevant 
  • You need to hire a conversational AI expert. 
  • You can get to the next level with the system you already have. 
  • There is one platform to rule them all. 
  • This is like any other software buildout. 
  • You can do this alone. 
  • You can upload all your organization’s stored data and proceed to launch
  • Your goal is to mimic humans
  • This stuff is easy

In reality, successful implementation of conversational AI requires an ecosystem built for hyperautomation, where shared libraries of information and code-free design tools make high-level automation and continual evolution an everyday thing.

Share:Dispelling Some Common Myths About Conversational AI
9 min read

UX Magazine produces the most popular podcast about conversational AI

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