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Using texting or a platform like Facebook Messenger to engage with users is the way to go.

To do this, you must select both a suitable, off-the-shelf AI, like Facebook's or Microsoft's Luis.ai, and have the technical staff needed to code for the platform. What you may not realize is you'll also need word nerds on both the front and back end to feed and teach your new baby chatbot.

Born in February as a roughly sketched avatar on a chat interface, AVA’s CGI makeover will turn her into a hyper-detailed, 3D-rendered character–what Soul Machines calls a digital human.

The Autodesk deal is Soul Machines’ first major gig, following a pilot project with the Australia National Disability Insurance Agency from February to September, 2016, and some proof-of-concept demos, like a recent one with Air New Zealand.

incredible advances in machine learning and natural language processing (NLP), chatbots are still in their infancy in more ways than one.

Like human babies, chatbots come into this world not fully ready to engage socially.

Depending on how complicated your interaction roadmap is, training can take time.

Because a cache of machine learning exists, people often assume that chatbots can learn on the job.

Training bots is basically building associations between strings of words and likely intents.

When chatbots guess wrong and serves up content we didn't ask for, they are at best hilarious, but at worst offensive and embarrassing.

For example, you may say to your bot, "I have spinach, cheese and tomatoes in the fridge." Your bot is going to look at each word to see if it can match them with an intent.

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