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Welcome to the Decade of Augmented Analytics

When a new decade starts, I find people are generally more optimistic about the future and far less pessimistic about the past.  It's about new beginnings, a fresh start, all in support of moving the ball forward for customers, partners and the broader analytics community.

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So, what does our future hold?  My colleague, Philippe Lions, analyzed World Population Projections through 2050. The data, by country, spans 100 years—from 1950 to 2050—and simply visualizing the data shows how our population mix has changed dramatically in a very short period of time.

Baby Boomers to Gen X to Millennials to Gen Z

To put it into perspective, I am a Baby Boomer (and proud of it), born in 1957. The world population at that time was roughly 3 billion people. In 2020, it's anticipated to be approximately 7.8 billion, and by 2050, the number will exceed 9 billion. That's three times the number of people in a (hopefully long) lifespan.  Look for your birth year in the data visualization below to see dynamics about your generation.

While the bulk of absolute population growth has been in Asia, the relative growth leader is Africa. Just look at the percent of the total population for Europe—21.4 percent of the world population in 1960 to 12 percent in 2000 to an estimated 7.7 percent in 2050—and you easily see how population shift happens dramatically. We all know we live in a new and changing world, but this hits that point home better than most.

population diversity by geography

Population Diversity by Geography

These shifts can be attributed to a few things, but it's largely a function of declining birth rates (live births per 1,000 females) and an aging population with higher life expectancy.

Looking at the population mix by age (0-20 years, 20-40 years, etc.), and you'll see that the population is skewing older. The largest growth rates? Those between 60-80 years old. That segment is expected to expand at a rapid clip through 2050.

aging populations

Aging populations

We look forward to combining this data with more health data to dig deeper—using Artificial Intelligence and Machine Learning—to understand population and health dynamics worldwide. 

Leave a comment and let's get the conversation about Augmented Analytics rolling.

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