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Workplace Automation: Is Your Job in Jeopardy?

Hiroyuki Komatsu, Managing Director, Works Applications Singapore | May 26, 2016
What is artificial intelligence and can we really trust it? Is artificial intelligence really out to steal your job and mine? One thing is for sure: The job of the future (for humans, at least) won’t be mundane and routine.

In the same speech, the minister also announced the launch of the National Robotics Programme. Under the programme, the Singapore government would spend over $450 million over the next three years to support the development of robotics in sectors such as healthcare, construction, manufacturing and logistics. Enterprises would not only be able to cut labour cost with more automation but also create higher value-added jobs. Under the programme, a one-stop trade and information portal would be developed in order to ensure the smooth flow of communication and the free sharing of information, between enterprises and the Singapore government.

This will force workers to develop both technical and business skills which complement these more mundane tasks, and step up to the next level of their professional development.

5.       Be amazed by the value of data

Predictive analytics are taking industries by storm and nowhere is this more true than the modern office.  From predicting staff resignations to forecasting for future needs and skill sets, to ensuring the vending machines are always full - data tailored to the workplace and constantly fed by artificial intelligence will remove the day-to day frustrations of office life.

One way enterprises can include the use of data into their day-to-day operations is through the use of software such as Enterprise Productivity Systems (EPS).  Through the use of artificial intelligence, such systems are able to make inferences from the past actions of the user to immediately provide desired information based on user demands. Correspondingly, this then reduces the amount of man hours spent on keeping systems up to date.

Instead of digging through files ladened with cobwebs, enterprises can now easily pull up data from the past years. With such programmes often being nimble enough to provide enterprises with the necessary customisation, enterprises can easily make sense of past data, and spot potential revenue streams and plug gaps in their current processes.

Conclusion

The convergence of data and analytics, of technology and access to education means that the workplace is more flexible and more diverse than it has ever been before.  It means that companies have to reorganize themselves meet the both the challenges of the new competitive global economy and the needs of the future workforce.

 

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