As was the case with the mobile revolution, and the web before that, machine learning will cause us to rethink, restructure, and reconsider what’s possible in virtually every experience we build, writes Josh Lovejoy, UX Designer at Google.
The Google UX community has started an effort called “human-centered machine learning” to help focus and guide that conversation. Using this lens, they look across products to see how machine learning (ML) can stay grounded in human needs while solving for them—in ways that are uniquely possible through ML. The team works across the company to bring UXers up to speed on core ML concepts, understand how to best integrate ML into the UX utility belt, and ensure they are building ML and AI in inclusive ways.
Using Google Clips as a case study, Lovejoy walks us through the core takeaways after three years of building the on-device models, industrial design, and user interface—including what it means in practice to take a human-centered approach to designing an AI-powered product.
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Experientia is proud to have been a key participant at the Roche Innovation Summit, held at Roche headquarters in Basel Switzerland on 19 June 2018. Themed “Transforming the Healthcare Experience Together”, the summit aimed to galvanize the Roche community around the future transformation of healthcare and diagnostics. With 800 attendees from Roche and Genentech global […]
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Technology is radically changing the world of healthcare and acts at different levels in support of different stakeholders. There are several digital tools on the market (e.g. wearables, virtual reality, robotics, etc.), many of which work in integration with each other, for example, wearables connected to IOT applications. Experientia’s report provide an overview of some […]