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Who could have imagined the new vocabulary, behaviors, and habits we’d all acquire in one short year?

Share:Inside the Design Process to Protect People’s Health on Public Transit

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

Share:Using Conversational AI to Make Humans Better at Work, and Work Better for Humans

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.

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  • Phones are outdated and irrelevant 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.

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A conversation with Lyft Product Designer Kyo Kim

Share:Behind the design: Building a seamless experience to request a ride for others

As I sit and reflect on my 3.5 years at Uber, I feel grateful and amazed by how much I’ve learned and grown in this role.

Share:Ten things I’ve learned as a UX researcher at Uber

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