Most financial institutions are over-engineering AI solutions
As financial institutions race to implement artificial intelligence solutions, there is the potential to miss less robust applications that the consumer expects today, while also slowing the development of more sophisticated AI solutions for the future.
When The Jetsons premiered in 1962, the notion of a robot maid was considered an imaginative dream about a futuristic life as opposed to something that might actually happen within the viewer’s lifetime. That same year, the U.S. was heavily focused on the space race to the moon, still more than six years away from the historic Apollo 11 landing. More than 50 years ago, the world began to dream in terms previously unimaginable.
As a result, some of the Jetson generation traded their Saturday morning bowls of sugary cereal for mechanical and software engineering degrees — and in just 56 years, have created a world their parents might have argued was impossible. While the common U.S. household may not have a Rosie yet, consumer robots and artificial intelligence (AI) have never been more commonplace than they are today.
The Origin of the Customer Service Robot
In 2014, Orchard Supply Hardware (OSH) installed its first OSHbot retail service robots in San Jose, Calif. The OSHbot greeted customers and helped them identify, locate or hold items while moving through the store, responding in both English and Spanish, so its human counterparts could focus on more complex tasks.
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