Artificial intelligence has many powerful uses for software products. From processing large data sets to using image recognition to improve the user experience, AI has the potential to transform an application’s functionality. However, making the decision to have AI integration into all of your new products should be carefully considered. There are pros and cons to this approach that can impact everything from your enterprise software development lifecycle to the time to market.
The Benefits of Automatically Integrating AI
You get a lot of mileage out of AI in your software. It can automate key processes and streamline many functions that would be time sinks if they were done manually. AI gives you the potential for a continually improving application, as it takes in data and learns how to do things more efficiently. One of the most common uses for AI is analytics. Many types of software need a way to analyze the data coming in and the ability to create actionable reports from this information. Business intelligence platforms, advertising platforms, and customer relationship management software are three examples of categories that receive a significant benefit from the inclusion of AI.
The amount of data collected is only set to get bigger as more connected sensors and Internet of Things devices are adopted. Without a way to process it and understand the patterns, it’s a wasted resource.
Another area where AI shines is helping to speed up the software development cycle. When you automatically integrate AI, you don’t necessarily need to do that on the client-facing side of the application. You can use it in your development tools to look for errors in the code, go through quality testing, and monitor software performance. Your software development team works more efficiently when they have these powerful tools at their disposal.
The Drawbacks of Automatically Integrating AI
While AI has a lot going for it, it’s not without its drawbacks. You need skilled workers who are experienced with AI to get the most out of your investment. Since this is an in-demand skill set, it may be difficult to bring in people with this background. Your business has the option of working with third-party platforms that can integrate with your software application. Depending on the way you want to use AI, you may be able to use APIs to bring this functionality into your software. However, this may not work logistically for your organization or that particular piece of software.
The cost also needs to be considered. Your software development budget may not allocate funds for AI technology, or the testing needed to get the most out of it in your solution. You also have to consider related expenses, such as the specialists needed to integrate AI, as well as any training that your workforce needs to go through to use it.
Once you balance the pros and the cons of automatically integrating AI, it makes sense to go with a case by case decision. Some applications are a perfect match for AI; in others, it might be overkill. Look at the actual use cases and how AI would enhance that experience on a practical level. It may take some time to evaluate the best way forward, but it’s the most strategic decision your organization can make in this situation.