According to the 16th Annual US Employee Benefits Trends Study, most employers are not scared of the impact of AI in the workplace. In fact, they welcome it.


Of the employees surveyed for the study, 49 % said they had a positive view of automation, while 24 % had a negative view.

Their research conducted from December 2017 to January 2018 comprised of two distinct areas. The employer survey which consists of 2,501 interviews with decision-makers. Then an employee survey comprising of 2,653 interviews with full-time employees, aged 21 and over.”  CMS Wire.


These are a few reasons why most organizations are welcoming AI and future technologies:

IMPROVED PRODUCTIVITY: “A continuous feed of reliable data, relevant insights and recommended actions generated from AI/ML provide additional value to having a closed loop. Users can contribute to data reliability and improvement of business processes and customer experiences,” said Ajay Khanna, vice president of marketing at Reltio.

HELP HR MAKE RELATIONSHIP-BASED DECISIONS: “Relationship bots powered by AI could be used to predict the success of human relationships.  Qualities such as trustworthiness, that normally would be deciphered through personal and direct experience.”

TO A DEGREE, CORRECT ‘HUMAN ERROR’: “For years now there’s been a bit of pushback from people who have been sold on the narrative of man versus machine, rather than man plus machine. In the near term, I see this thinking fizzling out as businesses begin to leverage AI to take care of the “heavy lifting” involved with number crunching and data wrangling”… “I believe we’ll start to see a greater shift in the way people work.  A shift in the specific type of work they’re doing and how they spend their respective time. This will be driven by the power of AI,” said  Katrin Ribant is chief solutions officer and co-founder of New York City-based Datorama.

TAKE OUT IT PROBLEMS: “Ultimately, we will see AI evolve to the point that IT infrastructures are totally self-healing. Today, we have done a great job collecting data, classifying it with domain knowledge, and then using machine learning to turn this information into actionable insight. But the next step is still ahead of us.  This is where the network proactively and automatically corrects on its own,” said Bob Friday, co-founder and CTO at Mist.

FACILITATE DATA ACCESSIBILITY:  “Even after adopting and automating AI applications, businesses will need to teach their organizations about what data is available. How the data can be applied, and how it should be applied. That’s why internal data evangelism is critical to the adoption and growth of AI solutions and automation in the enterprise,” said Doug Bordonaro is chief data evangelist at Palo Alto, California – based ThoughtSpot.



And you? How do you view Artificial Intelligence? 

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