Srikanth
With the emergence of Artificial Intelligence (AI) and Machine Learning, technology has become an integral seat of thought, regardless of the industry. With such integration, it seems scary to see the effects of these on our social and inter-personal lives. Indeed, when it comes to managing tasks, AI is without a doubt the most useful technology.
However, the impact it has on our neural architecture leads to loopholes in our lives and especially in our careers. According to hbr.org, “37% of executives say that managers’ lack of understanding of cognitive technologies hampers AI adoption.” As these automation technologies keep on achieving more, we need to acquire skills that build our neural architecture to stop the neural hijacking from the advent of these technologies.
Do Intelligence and Technology work together?
In general, there are a lot of jobs that machines can perform with the utmost efficiency in comparison to humans. Especially, that needs absolute accuracy like the accumulation of data, examining the data, illustrating the outcomes, figuring out the best-suited course of action, and enforcing this action. However, the seat of planning and organizing actions towards a goal still lies in the hands of humans.
To create an integration process between the automation work process and human authorization, one has to understand the synergy of big data Hadoop training. Chatbots Magazine cites, “41% of executives believe AI’s most important benefit is providing data that can be used to make informed decisions”. Well, this says everything – even when the task is done by automation technology, the final stroke is made by humans only, i.e. decision making.
Is Artificial Intelligence eroding our well-paying career options?
IBM Watson is solving medical cases with the help of automation, leaving doctors baffled. The investors are providing funds without any hesitation for letting the automation perform better. This means the most top paid career options are already at a major risk for humans; especially those that do not involve harmony between human emotions and thoughts. Therefore, to master the art of understanding AI for a brighter future, an aspiring data scientist ought to have a fintech degree as it provides him the added benefit of discovering this abode better.
However, human interference will be an integral part of organizations where skills like motivation, emotional understanding, and interaction between humans are high in demand. That is the reason why pwc.com states, “76% of CEOs are most concerned with AI adoption’s lack of transparency and potential for bias.” A piece of intellectual machinery might provide a better diagnose than a doctor and a feasible solution to it.
But, only a human can connect with you on an emotional level and understand your undetectable conditions such as finances, quality of thoughts and emotions, connection with family and provide you an optimal treatment solution. Another fact stated by pwc.com defines it all for us, “77% of CEOs say vulnerability and disruption to their businesses could increase with AI and automation.”
To Conclude:
Persuasion, empathy, social insights, understanding human emotions are the skills that will differentiate humans from machines. However, when it comes to technical fields, without a doubt, Machine Learning and Artificial Intelligence will rule those over humans.
