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In the parlance of social network analysis, density is the percentage of people in your network connected to each other that could be. By increasing density, new things spread more quickly through it.

Many of these quotes from Henry Ford are relevant for organisational learning and leadership. They seem to have withstood the test of time very well. Like the best ideas they are simple and self-evident.

Graphic on the evolution of work from Forbes Magazine

Google Search itself provides one of the most familiar examples of predictive intelligence. When you enter keywords in the search box, Google predicts what you are interested in and then presents you with results that match that intent. Since it released the first version of its Prediction API in 2010, Google has made some of these methods available to developers. Adoption among developers has not been high because machine learning requires a lot of infrastructure and validation to produce accurate results. Developers have also reported discomfort with basing products on black box APIs.

What if you could structure the content of a web page based on how humans actually read those pages, Tung asked back in 2008 when he founded Diffbot?

"When Facebook and Apple make extraordinary investments in new technology like they are with augmented reality, you know it's something to pay attention to. Both companies have made it clear recently that they are committed to developing, testing and implementing augmented reality technology"

The conversation around AI now is too focused on the question of how AI can replace agent interaction, which is missing the point. The aim of AI shouldn't be to replace human interaction, but to improve human interaction.

"The ability for machines to see, understand and interact with the world is growing at a tremendous rate and is only increasing with the volume of data that helps them learn and understand even faster. Big data is the fuel that powers AI."

"Continual learning is integral to the human experience. People who can learn faster and better than others tend to do well in life. The same is true for successful organizations."

"For problems that are original, whose answers are not already known, and that require intuition, judgment and ingenuity, you need people. Smart people who not only know how to search, but who have the expertise and judgment to know whether what they've found is most relevant to solving the problem at hand."

A summary of 6 AI technologies that will have the most impact on jobs in the near future.

"It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise."