Adding artificial intelligence (AI) into your business may seem like a risk until you dig deeper into the positives it provides your IT services. While it presently has limitations that may take years to overcome, it provides stepping stones of success for businesses worldwide. Whether you store large amounts of data and need a reliable way to sort through it or have started delving into deep learning, there are many different ways that AI will bolster your solutions.
AI offers pros and cons that businesses need to juggle when considering implementing AI projects, AI systems, or more. Over the past four years, we’ve seen a drastic increase in AI adoption across multiple industries. AI isn’t the plug-and-play solution that some companies consider, but it has a wide variety of uses and upgrades to your standard operations. To understand these, you need to have an understanding of the positives and negatives behind AI and how your industry needs to stack up against what AI can offer. Will it enhance your business process or cause you headaches? It all depends on where it’s needed and how you wish to utilize it.
You need to understand that AI has limitations and isn’t the miracle answer you’ve been seeking. Unrealistic expectations lead to self-sabotage and danger down the road. There is plenty of data to support artificial intelligence in business, but your specific needs may not match. AI is only as intelligent as the data it’s given. If you have a big data packet that needs to be sorted, you have to be specific with your requests or the software you’re using. It will sort the data in real-time, but it isn’t perfect. You’ll need to be on your toes and always alert, checking the data to ensure everything is going smoothly. It simplifies your job, but AI doesn’t do everything correctly.
Identify areas of value where AI will excel and you’ll find yourself with greater productivity than ever before. Sticking it in any service or system possible doesn’t help anyone and, in many cases, will cause a chain reaction of setbacks. Start small, such as through social media management, call center automation, or even customer service. These areas benefit from automation, don’t require too much maintenance, and can have a rapid response to any issues that arise. For more robust services like machine learning, image recognition, and database management, you’ll need to do more research and testing before fully implementing AI. A little care goes a long way.
Unrealistic expectations lead to self-sabotage and danger down the road. There is plenty of data to support artificial intelligence in business, but your specific needs may not match. AI is only as intelligent as the data it’s given. If you have a big data packet that needs to be sorted, you have to be specific with your requests or the software you’re using. It will sort the data in real-time, but it isn’t perfect.
You know the dangers and success stories from AI, but how can you set it up in your own business? If you take an overview snapshot of the jobs that AI will impact, you’ll find that some people are less inclined to accept it than others. This is due to the stigma of job interference and absorption. Essentially, workers believe that AI will steal their jobs from them and create a void in the workplace. While this is true to an extent, there are workarounds. AI isn’t perfect, so placing it in areas that can be monitored and adjusted without taking away vital jobs will keep people happy and productive.
Similarly, setting up an operational model goes a long way in understanding the AI you’re putting in place and how to use this AI in your business. It doesn’t operate like the human brain, but if you incorporate AI correctly, you’ll see a stream of enhanced services and solutions in no time. An operational model is based on value assessment, development pipeline, and cultural preparedness. If each of these elements is checked off, the AI implementation will be a success.
Value assessment is a look at the projects that are impacted and their significance to the company. The development pipeline is the understanding of how the AI will grow based on the service it’s attached to and how you will develop that growth over time. Finally, cultural preparedness is how ready your team is to accept and work with AI. If you can check off each of these boxes, you’ll implement AI smoothly and encounter minimal issues along the way.
If you think it’s time to implement AI into your services or aren’t sure if it would be a good fit, Tridius is here to help. With a variety of solutions to help educate you on AI best practices, where to put it, and how it could help move your business forward, we work with you to find the right solution for your business. When you need expert IT solutions, Tridius has the answer.
Tridius Technologies (a Terralogic Company) is an IT consulting firm that blends strategic planning with technology innovation, in areas like Cloud Infrastructure, Application Development,
Managed Services and Dynamics 365. Our mission is to inspire, innovate and improve.
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