We are living in a high-speed, volatile, fuzzy and uncertain post-VUCA era.

Knowledge iteration in the VUCA era is so rapid that we are all caught up in the "race" of new concepts and terms. Various concepts are emerging, such as Big Data, Artificial Intelligence, Virtual Reality, Blockchain, Computational Neurology, Smart Adaptation, and so on. These are undoubtedly impacting and even subverting people's existing knowledge system, and will certainly change the future of work and life. The information overload and the changes have been overwhelming, so who dares to hope to "lead" this VUCA era?

For companies, market competition and customer needs are changing by the minute. "90" began to enter the age of the "00" has gradually become the main force of consumption, the new man "10" or even "20" has also appeared in people's minds. "has also appeared in people's field of vision. Enterprises are faced with large and small business choices every moment, and the window of response left by the market for enterprises is getting shorter and shorter. "Inaction" and "wrong choice" are equally fatal, equally unforgivable, and equally likely to result in the enterprise being mercilessly abandoned by the market.

There's no avoiding it, there's no escaping it, and we have to do something to change our fate! In this way, the fast-moving world forces people to make hasty decisions. Often, it feels like flipping a coin in the air, only to be followed by the anxious anticipation of good fortune.

The external environment of the VUCA era is challenging enough, but what's worse is the challenge of increasingly powerful super machines. Automation has largely taken over simple, repetitive manufacturing jobs over the past decade, while artificial intelligence with the ability to learn is surging ahead and gradually replacing some of the highest-paying human jobs. Stanford University's latest study points out that the impact of artificial intelligence on analysts, sales managers, programmers, financial advisers and other highly educated high-paying occupations is even far beyond the impact of automation on blue-collar jobs.

Western scholars, "the father of big data" Sch?nberg in the data science classic "big data era: life, work and thinking of the big change" book has predicted that the ultimate difference between human beings and powerful artificial intelligence is human instincts, dare to take risks, coincidental events and mistakes. In other words, humans should never again expect to compete with machines for any job that has the right answer and the best solution.

In such a tough workplace environment, both managers and frontline staff are being asked to be able to think independently, have business sensitivity, a big-picture view, and an international perspective, as well as the ability to cross boundaries with rapid learning, and an entrepreneurial and innovative spirit, among other things. We are like replacing the engine of an airplane that is on fire at high altitude: on one side, we are busy applying our existing skills to ensure the normal operation of life and work, and on the other side, we have to face brand new challenges to learn, update and upgrade quickly.