Craig Pugsley, Director of Product Design, Silverbird
Workshop title: AI-tech isn't following tech adoption trends: deciding when to jump in on the AI-tech adoption curve.
Workshop Summary
The near-exponential rise in adoption of AI-tech-powered products had bucked nearly all previous trends for tech adoption. But why? What is it about AI-tech that we found so alluring and powerful? We’ll look at the current state of the art for consumer and prosumer AI-tech products and explore what’s working and what’s not. Like all hype-beasted tech, the story isn’t as clear as it might initially seem. We’ll look at who the big players are, where we think they’re heading, and what impact it’s likely to have on the marketing industry for the foreseeable tech horizon.
About Craig
Craig’s been a product designer for 15+ years, employee number 100,000 in massive multi-nationals like Nokia, Microsoft and Just Eat, and employee number 10 in tiny scale-ups. He’s designed user experiences for every type of conceivable product interface: from in-car apps helping EV drivers find charging stations nearby, to Xbox interfaces for ordering food.
His most high-profile product design was in 2016 when Amazon brought Alexa to the UK: working in the guerrilla product research lab at Just Eat, he was the lead conversation designer on the team who created the first large-scale voice-commerce experience in the UK.
As one of the country’s leading experts on designing for emerging technology, Craig set up a boutique design studio helping clients make sense of these new technology frontiers. He’s designed for augmented, virtual and mixed reality, robot delivery vehicles, smart wearables and TVs. He’s even designed the personality for a smart speaker manufacturer.
Most recently, Craig has been helping businesses get the most value out of the next generation of AI-powered technology, by exploring their use through tried-and-tested product creation methodologies. Flipping the script on the ‘we have AI, now what do we do with it’ to ‘we have users with these burning needs, how can we use AI tech alongside conventional tech to squeeze the greatest amount of customer satisfaction out of the most efficient use of business resources.’
