The most important Recurrent Pattern of 2020

The year 2020 is over. Done.

I would like to thank all my readers for their time, their comments and encouragement when writing this newsletter.

Everyone of us went through rapid, hard to predict changes and adapt to their best abilities to cope with the situation at hand.

For me, it was time to think harder, plan better, learn as much as I could. This newsletter helped me to bring focus to my thinking, explore new ideas and work on my future.

I was also fortunate to connect and converse with very smart people. Together, we covered various topics with the overarching theme - what the recurrent patterns are.

I think we found it. It is the drive to make things better, use science and data to advance our understanding of the things around us, communicate better with each other and do things which have not been done before.

Learning from the Asian economic experience with Financial Analyst Scott Foster at LightStream Research. What can we learn from Japan, Korea and China about how to create a high-tech society without putting ourselves out of a job? How will their economic models protect their people against predicted unemployment generated by AI?

Delusion, cheating and what we can learn from the future. Scientist, futurist and best-selling author David Brin, delves into how patterns of history may influence the future -- from violent cavemen to political parties.

Serial CTO about dogs and machine learning. Technical leader, author and serial CTO Barry Briggs talks about some of the major paradigm shifts technology has been through, and finding the balance between business and technology.

How to stand above the noise. Globally-recognized keynote speaker, educator, author and business consultant Mark Schaefer, joins the show to share recurrent patterns he’s seen in his marketing career.

Connecting with customers through data. Jose Murillo, Chief Analytics Officer at Grupo Financiero Banorte, talks about how large bank is using data effectively to connect more with customers. By understanding their clients better, they are creating win-win opportunities for customer satisfaction and improved revenue. These are lessons that can apply to the biggest organizations as well as more nimble startups.

The Power to Predict Who Will Click, Buy, Lie, or Die. Eric Siegel, PhD, founder of Predictive Analytics World and instructor of Coursera's "Machine Learning for Everyone", shares his thoughts on patterns found in data analytics and machine learning.

Designing the next land speed record car. Dr Ben Evans is an Associate Professor in Aerospace Engineering and sits on the design team for the Bloodhound Land Speed Record project with responsibilities for aerodynamic modelling. Why build the fastest car? Because it will inspire new generations of engineers.