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Learning to view a glass as half-full rather than half-empty, redefining problems as opportunities for growth, or increasing one’s confidence to view more options as viable might be the new perspective needed by credit unions. As we can see, perspectives are important.

There’s a Urgent Need for New Perspectives in Banking. “The best way to keep a fiefdom from becoming a hindrance is to encourage a democratic culture — one that relies on qualitative and quantitative data. As you track more and more data about the customer, member, marketplace and the industry as a whole, you’ll have a better understanding of what you need to do to get everyone in the organization moving in the same positive direction. And with this understanding, you’ll be better able to get ahead of the competition and stay ahead, no matter what the future brings.“

How Machine Learning is Helping Morgan Stanley better understand client needs. “For the foreseeable future, systems like these are complements to the human relationship between advisers and clients. Throughout the industry, the “hybrid” human/machine offerings have been much more successful. Humans can understand the context, deal with client emotions, and process disparate data sets. They still have a very important role to play in financial advising.”

Why businesses misunderstand old people. “The most important changes, though, will manifest not in corporate boardrooms but in the lived experience of old age. With technological innovation applied to older consumers’ actual wants, needs, and goals, older adults may soon find themselves living not just longer lives, but better lives, defined by independence and connectedness. For an early preview, watch the transformations coming to assistive audio devices. As hearing aids go, so goes the world.”

The real danger of Artificial Intelligence it’s not what you think. “Algorithms aren’t neutral. If we change the algorithm, we change the reality.”

And, to add to that: Artificial Intelligence and the stability of markets. “Artificial intelligence is useful in preventing historical failures from repeating and will increasingly take over financial supervision and risk management functions. We get more coherent rules and automatic compliance, all with much lower costs than current arrangements. The main obstacle is political and social, not technological.

From the point of view of financial stability, the opposite conclusion holds.

We may miss out on the most dangerous type of risk-taking. Even worse, AI can make it easier to game the system. There may be no solutions to this, whatever the future trajectory of technology. The computational problem facing an AI engine will always be much higher than that of those who seek to undermine it, not the least because of endogenous complexity.”

Our Love Affair with Digital is over. “We do not face a simple choice of digital or analog. That is the false logic of the binary code that computers are programmed with, which ignores the complexity of life in the real world. Instead, we are faced with a decision of how to strike the right balance between the two. If we keep that in mind, we are taking the first step toward a healthy relationship with all technology, and, most important, one another.”