AI

How to Successfully Integrate A.I. Into Your Software Offering: Part 1

How to Secure Exec Commitment For Your Next Software Project

A.I. is taking over all aspects of our lives. From automating tasks to offering advanced security and everything in between, so many aspects of our daily lives are touched in some way by A.I. technology. 

As with any major trend across any industry, if your business doesn’t adapt, it will fall behind. That’s why it’s so important for companies to not only embrace the arrival of advanced A.I. but to include it within their own software offerings wherever possible.

But how can you successfully integrate A.I. into your business’ software offering? Let’s jump right into the discussion. 

Integrating A.I. Into the Software Process

Before we start to discuss how your business can use A.I. within its software offerings, we must first talk about how A.I. can help to transform the software development process. Common A.I. techniques such as deep-learning and machine learning are used to teach systems how to make decisions and perform actions based on the data it is given. This, in turn, automates tasks which would have once been performed by a human. 

This A.I. technology can also be used to transform the way software is developed. A.I. has the ability to automate and highlight the details and features we may never have thought to include within our software models. A.I. continues to learn the more it is used, and so the software that uses it will only continue to improve. 

Overall, using A.I. technologies can help developers to improve agile test automation as well as simplify the process of software development as a whole. It can also be used to optimize Robotic Process Automation (RPA) robots, which we will discuss in more depth later in this article. 

Get Familiar With A.I.

Now you know how A.I. can be used to improve the software you build and use. But before you can start integrating A.I. within your business offering, you must first familiarize yourself and your employees with A.I. technology. Make a start by accepting the future impact of A.I. and researching ways you can use it to transform your workplace.

Getting to grips with A.I. isn’t a daunting task. There are plenty of online workshops and courses that explain A.I. technology and help you understand A.I. practices such as machine learning and deep learning

Once you know the basics of A.I., you’ll be ready to start finding ways to integrate it with your offering. 

Identify Your Audience’s Pain Points (and How A.I. Can Solve Them)

From areas of industry such as retail all the way to financial services, A.I. is revolutionizing the way businesses offer products and services. One of the biggest reasons for this is because they understand how A.I. can positively impact their customers. 

To successfully integrate A.I. into your offering, you need to first identify your customer’s pain points. What do they struggle with, and how can your business help them? Think of ways A.I. can add more value to your existing offerings. Or, you can even think of the pain points you and your employees face within the business which might impact the way you service your customers. 

One example of A.I. software making an impact within a business is RPA. As we discussed earlier, RPA stands for Robotic Process Automation, and it is used to automate business processes to save time and money. RPA can be used to trigger automatic responses to customer queries, process finances, and communicate with digital systems without the need for human intervention. It can help to solve customer pain points by improving the customer service experience and process transactions faster, as well as transform the way businesses manage their internal processes. 

Once you have identified what it is you want A.I. to solve or offer your customers, you’re ready to plan your project and move onto the next stage.

Are you ready to integrate A.I. into your software offering? Keep your eyes peeled for part two of this blog where we’ll be talking about the next stages you need to take if you’re looking to get an A.I. software project off the ground.


Check out part two below to learn more about incorporating A.I. into your software offering:


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