Protective Tech
As we rely on predictive technology to make the world safer and life more convenient, we struggle with the privacy trade-offs required to make it work.
As we rely on predictive technology to make the world safer and life more convenient, we struggle with the privacy trade-offs required to make it work.
The growing ubiquity of data raises big questions about how it is used, who should own and profit from it, and how it may be biased or flawed.
Entrepreneurs, businesses, and institutions are increasingly fearful about not being able to keep up with competitors’ approaches to innovation.
As robots’ utility moves into the home and the workplace, they are being given more human-like interfaces, and even micro-personalities.
Empathy is becoming a driver of innovation and revenue, and a point of differentiation for products, services, hiring practices, and branded experiences.
Thanks to automation, people crave experiences, advice, and services delivered by actual humans.
Organizations are facing the challenge of finding and investing in the tools that help them draw actionable, practical insight out of data that can mislead as easily as it informs.
Organizations are designing smarter connected products, services and features that provide safety, boost our health, and protect our environment through anticipating our needs.
As technology advances, algorithms and artificial intelligence make real-time analysis so fast that it can move from input to insight to action all on its own.
As technology becomes more sophisticated, it becomes better at predicting and anticipating needs, protecting us, and providing utility while blending seamlessly into our lives.