Chart: The World’s Largest 10 Economies in 2030

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The Chart of the Week is a weekly Visual Capitalist feature on Fridays.

Today’s emerging markets are tomorrow’s powerhouses, according to a recent forecast from Standard Chartered, a multinational bank headquartered in London.

The bank sees developing economies like Indonesia, Turkey, Brazil, and Egypt all moving up the ladder – and by 2030, it estimates that seven of the world’s largest 10 economies by GDP (PPP) will be located in emerging markets.

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Banking’s worst nightmare is here

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We’ve seen enough. We’re going BIG on the death of big banking.

If you’ve ever had to spend time at a bank opening a simple checking account, or even worse—closing a bank account—you won’t be surprised to hear that Americans are abandoning traditional branch banking by the millions.

Even bank executives concede the massive shift in their business.

Deloitte reports that 3 out of 4 banking executives agree that their work is going to drastically change over the next 3-5 years due to digital business trends.

But even they aren’t prepared for what’s coming…

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The 10 most intriguing inventions of 2018

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From programmable pills to power-generating boots, here are some of the most unusual technological innovations we covered this year.

We are all about emerging technologies here at Tech Review—including those that might never make it past the “emerging” stage. Here are some of the more recondite inventions we have covered this year, many of them plumbed from the arXiv, the pre-publication academic paper database.

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Deloitte’s 9 tech predictions for 2019

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Everybody makes a list of 2019 predictions, but the folks at Deloitte have numbers behind theirs. As one of the world’s biggest accounting and financial services firms, Deloitte is able to confidently predict that, for example, the smart speaker market will generate $7 billion in revenues in 2019.

Below is Deloitte’s 18th annual list of predictions for your enjoyment.

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Reskilling future workers: who’s responsible?

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Rapid technological change, with its impact on jobs, requires a constantly renewed workforce through retraining.

From switchboard operator to film projectionist, three industrial revolutions down and we’ve already seen many jobs wiped from the face of the Earth. Emerging technology is rapidly dispensing P45s, pink slips or termination letters to the next round of workers. More than half the global labour force will need to start reskilling and reinventing how they earn a living in the next five years, according to the World Economic Forum. Millions of roles will be lost, equally many more will be created.

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Get ready. 2019 predictions about Artificial Intelligence that will make your head spin

 

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Instead of breaking systems with ransomware, adversaries will leverage new tools to conduct harmful assaults on targeted subjects and organizations.

A staff member stands near a computer as it participates in the CHAIN Cup at the China National Convention Center in Beijing. A computer running artificial intelligence software defeated two teams of human doctors in accurately recognizing maladies in magnetic resonance images on Saturday, in a contest that was billed as the world’s first competition in neuroimaging between AI and human experts. (AP Photo/Mark Schiefelbein)ASSOCIATED PRESS

While the hip, ubiquitous business buzzwords are cryptocurrency and blockchain, the truly formidable factor of what is being called the fourth industrial revolution is Artificial Intelligence. Whether praised as a panacea for greater business efficiency or the feared as the demise of humanity, Artificial Intelligence is upon us and will impact business and society at large in ways that we can only begin to imagine. Fasten your seatbelts. Here’s what a few influencers in the arena say is on tap for 2019.

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The future of cities

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Cities may occupy just 2 per cent of the earth’s land surface, but they are home to more than half of the world’s population and generate 80 per cent of all economic output. And their dominance is growing: by 2045, an extra 2 billion people will live in urban areas.

At Pictet, we think it will put pressure on infrastructure, resources and the environment.

Encouragingly, those responsible for planning and building the urban centres of the future are up to the challenge. Worldwide, authorities are working ever more closely with the private sector in an effort to make our cities safer, more sustainable and better connected.

That’s good news for the planet.

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These are the skills that your kids will need for the future (Hint: It’s not coding)

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The jobs of the future will involve humans collaborating with other humans to design work for machines, and value will shift from cognitive to social skills.

An education is supposed to prepare you for the future. Traditionally, that meant learning certain facts and skills, like when Columbus discovered America or how to do multiplication and long division. Today, curriculums have shifted to focus on a more global and digital world, like cultural history, basic computer skills, and writing code.

Yet the challenges that our kids will face will be much different from those we faced growing up and many of the things a typical student learns in school today will no longer be relevant by the time he or she graduates college. In fact, a study at the University of Oxford found that 47 percent of today’s jobs will be eliminated over the next 20 years.

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When will we have Artificial Intelligence as smart as a human? Here’s what experts think

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Robots in the movies can think creatively, continue learning over time, and maybe even pass for conscious. Why don’t we have that yet?

“Star Wars,” “Her,” and “iRobot.” What do all these movies have in common? The artificial intelligence (AI) depicted in there is crazy-sophisticated. These robots can think creatively, continue learning over time, and maybe even pass for conscious.

Real-life artificial intelligence experts have a name for AI that can do this — it’s Artificial General Intelligence (AGI). For decades, scientists have tried all sorts of approaches to create AGI, using techniques such as reinforcement learning and machine learning. No approach has proven to be much better than any other, at least not yet.

Indeed, there’s a catch here: despite all the excitement, we have no idea how to build AGI.

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