Back

 Industry News Details

 
How to Prepare Your Business Data for Artificial Intelligence Posted on : Apr 18 - 2018

In order to successfully integrate Artificial Intelligence (AI) into your existing business data, get ready to think about infrastructure, context, training your staff and much more.

Over the recent decade, only a few technologies captured our attention quite as much as artificial intelligence (AI). The interest is justified, because the technology is poised to drastically change the current business landscape.

As you can see, AI was more important for CEOs than virtual reality, remote sensors, nanotechnology, 3D printing, and advanced robotics. More and more people realize that AI is not science fiction and is already being used extensively.

Are you ready to embrace the endless possibilities provided by AI?

In this article, we’re going to review what you need to consider to ensure a successful implementation and four preparatory actions that you need to implement to prepare your business data for AI.

AI Implementation Considerations

To lay out the groundwork for successful integration of AI, you need to consider the following.

Familiarize yourself with AI and what it can do for your business data. You as a business owner cannot afford not to understand the capabilities of AI, because you can lose a lot of great opportunities. So, to make sure you know what it can do, take an online course and get your knowledge up to date. Good options include Intro to Artificial Intelligence by Udacity and Artificial Intelligence for Business from Columbia Business School.

Determine the most important areas in which AI can benefit your business. Using AI without a clear action plan is not a good move because in this case, you’re basically diving into the unknown. When discussing how your business can benefit from AI, be sure to identify particular areas and prioritize some of them. Business data should certainly be there.

Make sure your IT infrastructure can handle the change. A business must have a solid IT infrastructure to handle AI, and many of them are lacking that. For example, a recent study by Belatrix found that 29 percent of respondents viewed “Difficulty managing and analyzing the data” as one of the top five issues with getting started with AI. View More