Cognitive computing technologies still deliver mixed results
During the initial days of the various intelligent technologies, there was an anticipatory mood that it will completely revolutionize everything around the IT world and have an impact on the larger peripheries too. However, this is precisely the problem of over anticipation as cognitive computing has done wonderful things but not really revolutionized everything. It is delivering mixed results with constant innovation in process.
Organizations, however, are doing their best to ensure that AI remains strictly in focus with cognitive computing getting the boost necessary for it to flourish. IBM’s effort to establish itself as one of the pioneers and eventual leaders in this domain can only be seen as an extension of this process as it attempts to lure more and more businesses in this field.
How to do more with such technology?
Cognitive computing is like a newborn kid which can grow up to become anything and its sheer unpredictability makes it an easy tool of exploitation for those who have laid their hands first on this. Entrepreneurs and enterprises alike are on their tails to convince as many companies as possible to take up cognitive computing so that a network of business and data can emerge.
In fact, there is no denying the fact that new business models are emerging from the merging of various forms of data and there are plenty of popular examples all around the world. However, as one model becomes popular, hundred other enterprises are mushrooming on the same model which makes lives even more difficult since that almost disrupts the process of innovation.
The curious case of Uber
Uber is a household name in the metropolises and it can easily claim itself to be unique because of its innovative use of GPS services coupled with mobile data to create a network of drivers and riders across the global cities. It has grown without competition for two years and hence, has gained a respectable lead over others. However, many companies have then followed suit locally to ensure that Uber does not have an open ground to play.
Google, for example, has vowed to make AI the top priority of their innovation models in the coming future. But, there has not cases like Uber as an average enterprise will not go out of its way to claim itself to be the next best innovator of business strategies or AI breakthroughs.
Why the vacuum is there?
The large lacuna that exists because of little participation from the small and the average businesses is that people are not yet ready to embrace the general purpose AI that can truly revolutionize the business models. Of course, one could assign AI to do complex jobs in a simpler way but to create something new altogether require a huge amount of data and correspondingly huge network which is hardly there for small, existing businesses. So, as of now, the narrow region of performing complex tasks quickly is where cognitive computing truly rules globally. However, AI always has a high affinity towards to situations of uncertainty and changes; so that is to be seen in the future.