Productivity goes beyond completing tasks quickly, it encompasses much more, including the quality of the work produced and the enjoyment derived from the process. In this blog, we explore seven different ways to use AI to improve your daily work experience. Join us in redefining productivity and discover how you can use AI to achieve more in a better, faster and more enjoyable way!

Different take on productivity

Many would define productivity as the number of tasks that can be accomplished in a particular amount of time. Whilst that is a reasonable definition, it only offers one way to improve: being faster. However, this perspective overlooks the significance of quality and enjoyment. Taking these two important factors into account, productivity can be defined as follows:

This means that there are 4 concrete ways to be more productive:

  • Increase the quality of your work

  • Increase the number of tasks you can accomplish

  • Reduce the amount of time tasks require

  • Reduce the effort required to perform a task

This definition is important as many AI-powered tools enable you to perform tasks that you previously did not even contemplate starting because of how long it would take or how frustrating it would be to carry out. You might find yourself spending more time on particular tasks like creating slides, because now your enjoyment and quality are massively improved, and that’s not a bad thing.

7 ways to become more productive in your day-to-day work

Always double-check!

It is extremely tempting to rely on AI-powered tools to fully take over some of your tasks, but it doesn’t exempt you from the responsibility that comes with delivering certain outputs. Be careful about what you send out to stakeholders or the public, whether you did it yourself, or you had it completely automated. You should always double-check your work, similar to how you wouldn’t rely on an automated system to manage client communications without first ensuring it doesn’t contain something strange or incorrect.

It’s not about the tool, but how you use it

This blog did not focus on specific tools for two specific reasons. First, new tools and developments come out every day, and it would be close-minded to assume that only the tools we know now are the best to use. Second, we strongly believe that the real value doesn’t come from the tools but from a responsible and clever use of them. By tackling the right problems, you will go further, even with a supposedly worse tool or no tool at all.

This blog is written by Valentin Calomme – an AI Engineer and Data Scientist at Mediaan Conclusion.