How AI Can Help You Reach Your Productivity Goals

There’s a reason that artificial intelligence (AI) software has become increasingly popular in a variety of work situations—including to help meet productivity goals. From weather predictions to travel directions to smart banking, many of us interact with AI on a daily basis. Sometimes even without realizing it. These self-learning machines can analyze vast amounts of data in milliseconds and provide insights that make us smarter, more efficient, and better at the things we do every day. Which is why AI is able to help us reach productivity goals, particularly for talent acquisition and people management.

What Is Artificial Intelligence (AI)?

Before we get into the details of how artificial intelligence can help you accomplish your productivity goals, let’s first define what AI is. 

Artificial intelligence, or AI, enables computers to do tasks that would otherwise require human intervention, such as making complex decisions, solving problems, and learning. AI is able to both improve processes and outcomes, as well as take factors into account that are unplanned, unknown, or even unmanageable by people. And, AI’s self-learning algorithms use data to make the best decisions when carrying out a task—and take that data into account for the future.

How AI Can Help With Productivity Goals

AI-powered hiring software can help you and your team reach a variety of recruitment productivity goals, including: 

  • Efficient scheduling: There is no shortage of calendar applications and tools that utilize AI. It’s true that productivity is all about time efficiency—but what if you can meet productivity goals while also improving a candidate’s experience? AI-driven chatbots have the ability to do just that. PandoLogic’s own Wade & Wendy can not only act as a first touchpoint for potential candidates, vetting and analyzing their experience, but it can also aid in scheduling initial and follow-up interviews. You have a long enough to-do list without adding in the oft-complicated job of juggling calendars—so let AI do that. 
  • Automatic job ad placement: One of the most powerful ways that AI can help you reach your recruitment productivity goals is through automating a variety of important (but time-consuming) tasks, like job ad placement. pandoIQ, PandoLogic’s AI-driven recruitment software, was designed to do just that. pandoIQ takes into account historical and real-time data to decide where to place your job ad for the most optimized recruitment campaign. 
  • Decreasing time to hire: Time to hire is one of the most important recruitment metrics that HR teams measure. It’s easy to understand why: The longer a job is open, the more pressure other employees may be under—and the less productive they’ll likely be. There are a lot of factors that can decrease time to hire, like automatic job ad placement described above. Time to hire is a decent proxy for understanding if you’re reaching productivity goals because the more productive your team is, the quicker you’ll be able to hire.
  • Quicker (and better) recruitment analytics: AI crunches numbers for you so you don’t have to—giving you the data you need to make smarter and faster decisions. This is especially helpful when the amount of data becomes too large for one person or even a team to manage efficiently. For example, pandoIQ analyzes historical data points into the billions and combines that with real-time data. 

It’s true that not all new technology is a success. But there’s a reason that AI has become so popular—and why it isn’t going anywhere. Cost-effective, powerful, and self-learning, AI can help you accomplish a range of productivity goals. The next step? Defining what those goals are—and what tools you should adopt to help reach them.

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