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There is a growing body evidence that shows that the adoption of; cloud computing, machine learning and artificial intelligence is on pace to grow exponentially over the next 10 years and beyond. And, yet there still some resistance to embrace this type of technology. Many of today’s leaders understand the difference between staying put or adapting to achieve business success.

Automation’s Biggest Enemy: Cultural Resistance is the title of an article published by Industry Week that delves into the resistance, which in turn, prevents some companies from adopting artificial intelligence and reaping its benefits. It reads in part;

“While customers perceive that artificial intelligence (AI) will allow brands to deliver what they want when they want it, there remains a widespread lack of understanding among enterprises of the potential benefits for AI to solve real-world business problems. The biggest corporate challenge to implementing an intelligent business strategy is cultural resistance (49%), according to a new research report, “AI2020: The Global State of Intelligent Enterprise” by IQPC’s Intelligent Automation Network.

What’s Behind The Resistance To Artificial Intelligence?

Some of today’s forward-thinking companies understand the power of cloud computing and its impact on cost containment and have embraced business applications— like time and attendance, that has embedded artificial intelligence. For example, ATS TimeWork OnDemand was expressly designed with this mind— this robust application will propel your business operations and help your company keep pace with advance in technology.

The Industry Week article goes on to say; “AI will automate some jobs, particularly the dirty, dangerous, or dull work that people don’t want to do – everything from sewer reconnaissance to repetitive factory work. The skills needed for future employment include critical thinking and problem solving, good communication and teamwork, leadership, initiative, creativity and the willingness to leverage the current technology”.

In other words, artificial intelligence is not here to replace your job— it will help you do your job better.

To learn more, ATS TimeWorkOnDemand embedded artificial intelligence, go to our website.

 

When Hiring Employees Avoid These Blunders

August 1st, 2017 | Posted by ATS in Artificial Intelligence | HR | Recruitment - (Comments Off on When Hiring Employees Avoid These Blunders)

Hiring employees takes a certain type of skill that not many people possess. Some individuals can spot talent immediately, while others rely on recruitment software to help them choose the right candidate.  But does this mean that the hiring process can be subjective? In many ways, yes it is.  When you consider the many variables that must be taken into account when selecting candidates (personal biases being one of the biggest) it’s unlikely that the person doing the hiring will not be affected by his/her personal views, and experience during the interview process.

In her article for ERE MEDIA Top 10 Hiring and Recruiting Blunders by Employers Robin Shea, cautions, that “employers’ recruiting and hiring processes are fraught with legal risks” especially, if you are not aware of the potential landmines that you could step on, while going through the process.

We rearranged the order of those blunders and made a list 5:

Failure to hire the best person for the job: It’s easier to say “thanks, but no thanks” to a bad candidate than to say “you’re fired” to a bad employee. Failures to hire are also generally easier to defend than decisions to fire. So try to put all that nepotism, favoritism, prejudice, and concern about “connections” aside, and choose the individual who seems to have the best education, experience, and ability to perform the job. You can even consider whether the candidate “plays well with others” if you want.

Recruiting or hiring employees using “coherent people profiles” assembled by aggregators like Spokeo:   Spokeo was fined $800,000 in 2012 by the Federal Trade Commission because it gathered all kinds of data about individuals — including race, ethnic background, religion, economic status, and age ranges — and sold the information to employers who used it in making recruiting and hiring decisions.

When Hiring Employees Avoid These Blunders

Use of pre-employment tests that don’t comply with the law: Of course, in the overwhelming majority of jobs, it is flat-out illegal to require a physical or psychological examination before a conditional offer of employment has been made. Other testing — for example, “personality” tests designed to measure honesty and work ethic, “intelligence” tests, or “skills” tests — may be all right, but be careful even with these.

Committing an EEO faux pas in the job interview: Have you ever done this or seen it being done? Asking female candidates (but not male) about their childbearing plans and day care arrangements. Asking minority candidates (but not “majority”) whether they have reliable transportation. Bragging about your “young, high-energy” workforce, which is generally recognized as “code” for age discrimination. Asking candidates about their physical health or fitness, or where they go to church. (Not even where they “worship”!) Telling sexual, racial, ethnic, or religious jokes in the interview.

Failure to involve Human Resources in the recruiting and hiring process: “Oh, but HR is such an obstacle!” Yes, and you should be grateful. Think of HR as your Jiminy Cricket: HR is trying to save you from potentially devastating class action lawsuits and expensive settlements of adverse impact/failure-to-hire claims.

It is hard to believe that some companies today, go through these blunders. It is equally naïve to believe they don’t. And as the process of hiring becomes more efficient, data-driven, and automated by AI and technology, companies need to be more vigilant in ensuring that they are keeping up with the workforce compliance in the jurisdiction in which they operate.

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