Artificial intelligence (AI) was something out of science fiction a few decades ago. Today, AI is something scientists are studying in research labs and a new tool for a wide range of businesses.
Many of us use AI systems already. For example, many of our devices use biometric authentication to allow us to log in. The power of AI is applicable throughout several industries, and its constantly evolving to deliver better technology to companies worldwide.
However, what is the true use of AI in business? In this article, well cover a few reasons why AI is the future of business and what we can expect to see over the next few years.
Aside from biometric authentication, AI has many benefits that we are moving towards in the future. Lets take a look at why AI is the future of business.
Providing a good customer experience is essential for any business to succeed. Unfortunately, humans can only do so much. However, an AI machine can chat with customers and fulfill support inquiries 24/7. Whats more, the entire process is automated. If your customers still want to speak to a human, the AI can schedule a time for a call, email, or live chat.
AI can keep your current customers happy and potentially attract new clients. Some good examples of AI customer service tools are chatbots and autoresponders.
There are numerous ways you can make your employees more productivehowever, AI adds-on to that productivity by completing tasks quickly and at any hour of the day. With a well-developed AI, you can allocate all the tedious tasks to the machines and give your living breathing employees more time to focus on things that matter the most.
An AI can handle things like responding to message requests, booking appointments, sending out reminders, tracking data (see below), and much more.
Data is the lifeblood of any company. Without tracking useful insights, a company cant know what theyre doing right or wrong. However, tracking data accurately on a large scale can be incredibly difficult. Thats where AI can come in handy. AI can track data quickly and accurately so that businesses get all the information they need whenever they need it.
With AI, companies can increase their return on investment (ROI) across all platforms, including marketing and sales. Whats more, machine learning (ML) software for data analytics isnt extremely expensive to implement.
Recruiting new employees can be daunting and time-consuming. However, its an essential task every business needs to grow. With AI, companies can streamline their recruitment processes for better efficiency.
Image: Stefan Amer / Scopio
For starters, AI can speed up the review process for new candidates. Instead of your recruiting team looking for discrepancies in candidate applications, a machine can do it much faster and with greater accuracy.
AI will not only help companies find better candidates, but it will also allow more people to apply since the recruiters can manage more applications. Whats more, AI can potentially reduce prehire costs whenever a company is seeking new talent.
Every company wants to make more money, and AI can help in several ways. Above, we mention that AI can free up employees to focus on more profitable tasks. AI can also help reduce costs and bring value to companies through a wide range of applications, such as:
By investing in the right AI, companies can expect to see an increase to their respective bottom lines relatively quickly. More profit equals more growth opportunities for the business.
Several companies are hesitant to implement AI into their processes. It seems reasonable since, from the surface, AI seems like a highly technical product that requires a team of tech wizards to get started. However, there are countless AI products on the market that are seamless and easy to set up.
If you look at all the benefits above, its easy to see how AI can help any business across any industry. Furthermore, AI is constantly evolving. So, if there isnt a use for it in your business yet, theres likely to be a solution shortly.
Photo credit: The feature image has been done by Maksim Chernyshev. The photo in the body of the article was taken by Stefan Amer.
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