Articles
A look back at our recent Tweet jam that explored the dos and don'ts of introducing artificial intelligence into the digital customer experience.
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Raise your hand if your eyes glaze over when someone speaks of the magic of machine learning.
Machine learning is real. It's been around for years before its current return to the spotlight. But as with all technology terms, the hype often masks the reality.
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Last summer you couldn't walk down the street without bumping into a person staring at their phone playing Pokemon Go.
Google Home and Amazon Echo battled for voice-enabled device supremacy in December.
And as clunky and at times infuriating as they can be, chatbots show no signs of going away
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Digital customer experiences involves a lot of moving parts — encompassing multiple touchpoints, channels and stages of a customer's lifecycle.
Old styles of testing often give a partial or limited view of what is or isn't working.
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Companies face a dilemma: build today what they need for tomorrow.
While businesses have often relied on predicting the future, today's mercurial consumers shift channels, loyalties and expectations at the swipe of a finger.
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Organizations — across industries — are feeling the pressure to digitally transform.
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