Is the speed of change increasing?, 7 hand-picked recommendations to broaden your perspective on AI and ML, and switching from just a few big bets to many smaller bets to drive digital innovation.
Interesting theory that takes a look at the speed and frequency of change in today’s world: ‘technology has created a new type of change. We’re used to these long, very large but slow waves. They still exist but technology has enabled smaller, higher frequency changes as well, which don’t touch every business but do impact on some’. Phil Lewis via Forbes.com
‘With AI and machine learning at the forefront of so many questions and topics now, what better way to get the scoop on it than by enjoying some great speeches from those on the cutting-edge of innovation.’ Nicole Martin has picked 7 across a wide spectrum, via Forbes.com
A great read from Jeanne W. Ross, Cynthia M. Beath, and Martin Mocker: ‘Building insights on both the capabilities of digital technologies and the interests of customers involves upending established management practices and individual habits and forcing a change in corporate culture. Taking an iterative test-and-learn approach to developing offerings will be a foreign concept to almost anyone who has risen to the top of an established company. Pharmaceutical companies have 10-year development cycles; auto manufacturers often take five years to develop, test, and roll out new products. These long cycles involve huge allocations of resources. They are “big bet” strategic initiatives. Most digital innovations are much smaller bets. A few of those smaller bets could become very big deals, but most will be discarded. Conducting digital experiments is like betting a tiny amount on all the horses in a race and then having the option to increase any bet at various points during the race. There is no need to make a big bet until the winner is almost certain. Learning how to accumulate and share customer insights allows companies to place their bets in this way — on those digital offerings that customers are actually willing to pay for.’ Via MIT Sloan Management Review.