Our world has been transformed by digital technology. It would be hard to explain how an IBM mainframe in 1960 will someday replace friends, books, and newspapers, but now our daily habits.
We need to start preparing for a new era of innovation
AI (artificial intelligence) is great for marketing more intelligently and efficiently but AI is simply a requirement for making sense of the vast arrays of data — structured and unstructured
Every member of your team should be able to answer:
How artificial intelligence work?
What it is good at?
What it should never do?
AI will soon move from being a “nice-to-have” capability to a “must-have.”
If you Ask:
Why should a non–data scientists learn data science?
That’s like asking why non-accountants should be expected to stay within budget.
But more precisely
We are at the close of the Digital Era:
1- the technology itself that allows more transistors onto a silicon wafer, known as Moore’s Law is ending.
What enabled us to make our technology exponentially more powerful year after year is no longer easy to achieve.To maximize performance, we now need to optimize existing technology for a specific task
2- the technical skill required to create digital technology has dramatically decreased, by no-code platforms.
The ability to work with digital technology is increasingly becoming a midlevel skill.
3- digital applications are becoming fairly mature. A new device like laptop or phone today, does the same things as the one you bought five years ago.
Essentially, the challenge ahead is to learn how to use bits to drive atoms.
Consider robotics and the effort to develop advanced battery chemistries to drive the clean energy economy, or the discovery of materials that don’t yet exist with the simulations on genomes.
See You at the Top
Art: Intertwine
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