“Alexa, find ten people that are available for the last shift tomorrow.”

If staffing was just that easy, right? Artificial Intelligence (AI) simply put, is the creation of smart machines that work and react like humans. On the contrary, It’s not supposed to take your job but rather help you with it. The true nature of AI is to change how workers use their time.

Intelligent Matching

This rising technology in recruitment is beneficial for both the staffing agency and the employee. AI recruitment eliminates the need for a warehouse worker to have a traditional resume, instead staffing managers can automatically pull their skill set information from a database. AI also provides more detailed information that creates a pool of candidates that would be a better fit for a job assignment. Have they worked in this warehouse before? How many times have they not shown up for an assignment? Have they had multiple incidents of sustaining injuries doing the job? All this data is stored in an immutable database for your convenience.

Intelligent matching is a cost-efficient way of sourcing for the most skillful candidates that will also fit the client’s needs.

Automation Paradox

Will robots really take over and eliminate our jobs? My answer is no. Machines are built to assist you and make tasks less repetitive. For example, automated machines are now able to pick up and drop off pallets. By having machines do these tasks, it ensures that the task is done more efficiently and safely. It saves an employee time and from injury.

Automated machines are built and trained using meticulously written code but when the time comes that tasks are presented that go beyond this code, human intervention is needed.

Machine Learning

As a subset of Artificial Intelligence, machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience. Although this technology requires less human interaction, it is also an important addition to upskilling a worker and training in a faster and more efficient manner.

For example, machine learning can help orient a temp hire for a new job assignment faster. Using its algorithm, a machine is able to capture notes, processes, and best practices providing these information to anyone in the company. With the help of Augmented Reality, any new hire can approach a machine and have information on how it works and how to fix it. What was once only understood by a handful of workers can now be learned by anyone who has access to it regardless of the location. This technology therefore, allows blue-collar workers to improve their skill set and have continuous training.

Humans versus Machines

In this situation, it is not a matter of whether humans or machines win. Robots are not here to take away jobs, but rather improve them. The importance of technology today and in the future is to make sure machines perform to the best of their ability and embrace the unique skills humans have such as creativity and critical thinking.

Tim Castillo is the Director of Infrastructure at Wurk Now, he builds and sustains technological infrastructures and IT landscapes with the future in mind. How can we help you? You may get in touch with Tim at hello@wurknow.com.