Choosing talent to create the most innovative ‘Human AI’ is quite different than traditional hiring approaches. This approach may be difficult for some to embrace, but this mindset is essential to leaders and organizations that seek sustainable success in the age of AI.
It is often assumed that people don’t like change, when in reality humans are born to instinctively love change. It’s why we take vacations and crave travel, because we want and need change. We must get out of our usual surroundings and witness something new in order to regain focus and refresh our perspectives. In this case, change is a choice, so we like it.
But there is also a negative side to change: when the change affects you personally, unpleasantly, and unknowingly. However, most of the changes that come “out of nowhere” are actually very visible months or even years before they officially hit. For example, people get burglar alarms usually after being robbed. We all tend to react to change and put out fires more than we anticipate what will happen based on the direction in which change is heading.
It’s time to become more anticipatory so you can see change coming and pre-solve problems associated with it before they occur. Only after becoming anticipatory will you be able to use change as an opportunity for growth rather than a crisis to be managed.
To thrive in this new age of hyper-technological disruption and change, it is imperative to learn a new competency: Becoming Anticipatory.
That may sound impossible, but it’s not. It is actually quite simple when you know where and how to look, and when you and your employees master this skill, you’ll be able to create what I call an Anticipatory Organization™.
By the time the rapidly growing streams of data get to the cloud-based analytic systems and then circle back to the devices with instructions based on the analysis of the larger data ecosystem, the opportunity for instant analysis and appropriate action is greatly reduced. Fortunately, a concept called Edge Computing can make sense of, and put to use, the wealth of data taken from IoT.
Have you ever wished you could predict the future? What would you do if you could clearly see critical changes in the months and years ahead and use them to shape your future instead of just letting it unfold by default?
I have good news for you: you can.
Recently, technology company Sage conducted surveys pertaining to AI and individuals’ understanding of it. Unfortunately, 43% of respondents in the US and 47% of respondents in the UK indicated they had no idea what AI is capable of in business.
Based on technology-enabled Hard Trends that are already in place, how we sell, market, communicate, collaborate, innovate, train, and educate will continue to transform. If you don’t anticipate the disruption that comes with this transformation, someone else will. And with all the business processes technology is transforming, nothing is transforming more than the role of the CIO.
The reality is that every day, our data is used or even copied, often without us knowing. As a generation that willfully inputs their information on multiple websites, we seem to concern ourselves less with the concept of cybersecurity until disaster strikes.
The word “impossible” connotes something that cannot be done. But we all know the impossible isn’t completely out of reach. For centuries, humans have been achieving the so-called impossible by developing conceptual understanding and making visible that which we’ve been previously unable to conceive. When we develop this sort of understanding, previously unknown opportunities and solutions become clear — doing the impossible then becomes just a matter of commonsense problem-solving.
When it comes to the future of your industry, how secure do you feel, not only in your position, but in your career and abilities as well? The era in which you go to school for a specific skill or trade, develop your acumen, and grow a career until retirement has passed. The future of your career doesn’t depend on whether employment is available at a given company; it depends on how employable you are.