Shenzhen may well be the most fascinating city in the world. It makes the majority of our electronics. It clones the best technology Silicon Valley has to offer with ease. And, lately, Shenzhen buzzes with new ideas and an unrivaled energy that ensure it will play a major role in shaping our collective futures.

In light of the recent Data Driven podcast episode on preparing workers for the coming AI storm,

Joseph Fuller, professor at Harvard Business School, says that the story we hear about workers being afraid for the future of their jobs might not be right. In surveying 11,000 people in lower-income and middle-skills jobs and 6,500 managers across 11 countries, Fuller discovered that, contrary to what bosses believe, many employees are excited about new technologies and willing to be trained in new skills.

Press the play button below to listen here or visit the show page

Here’s an interesting post on techUK about the future of policing in the age of AI.

Most people, I’m sure, have seen the movie “Minority Report”, where the Police Force have a pre-crime unit using psychic individuals to predict crime before it happens. Sadly, we don’t have such an option, and it remains in the realm of science fiction. However, we do have machine learning and artificial intelligence as an alternative.

In this Data Point, Frank ponders the wider impact on jobs and businesses related to self-driving cars that are not immediately obvious. From driving schools to truck stops, everyone will feel the change.The question then becomes: how can we prepare the workforce for the impending upheaval in the job market? Will teaching to the test cut it? Or are we going to have to make learning play and play learning?

Press the play button below to listen here or visit the show page at DataDriven.tv

Show Notes:

Here’s an interesting look at the cutting edge technologies just on the horizon of AI research and what problems they can potentially solve that current techniques can’t.

Artificial intelligence (AI) is dominated by pattern recognition techniques. Recently, major advances have been made in the fields of image recognition, machine translation, audio processing and several others thanks to the development and refinement of deep learning. But deep learning is not the cure for every problem. In fact, […]