Artificial intelligence

Top 5 AI Business Technologies to Watch Out in 2022

The internet age has brought many new technologies, and artificial intelligence (AI) is one of the most important. AI technology can be used in many fields and help organizations improve their operations. Some businesses use AI to boost customer service, while others use it to make greater profits by targeting potential customers with personalized offers. This article will discuss the top five AI business technologies that could be adopted by 2022.

Virtual Receptionist Software

Virtual receptionist software is a great way to offer your customers a personalized experience. The software answers inbound calls, helping customers find information and schedule appointments. It can also be used for businesses closed during normal working hours, like hospitals or grocery stores (for example).

Virtual receptionist software performs best when it’s set up with a clear understanding of your brand’s messaging and tone of voice. Often the virtual receptionist will need to use words that reflect this personality. It is important because it helps you stand out from companies using the same technology.

Smart Calendar Features

Smart calendars are becoming increasingly important for businesses and individuals as we move toward a more paperless society. AI can help streamline this process, allowing you to set up meetings, appointments, and reminders easily. With smart calendar features, it’s easy to create events that fit your schedule while also taking into account the availability of everyone involved. Suppose you have an appointment with someone on Tuesday at 9 am but need to change the time because they have an early meeting at 7 am. In that case, your smart calendar will automatically update their availability and let you know when they’re free again so that you can reschedule accordingly.

These same features will also allow businesses using AI solutions like intelligent assistants or business bots (like Siri) to schedule tasks such as making phone calls or sending emails without human intervention. They can even take care of follow-up tasks like setting reminders for those who missed an initial meeting because they forgot about it until it was too late. Again thanks to the power of machine learning algorithms which learn from past failures to improve future results.

AI Chatbots

AI Chatbots are used to answer simple questions conversationally. They are also used to answer complex questions but use natural language processing technology to understand and reply as a human would.

AI Chatbots can be used in real-time or asynchronously, depending on the purpose of their use. For example, an AI Chatbot can be used for live support if you want to connect with your customers through chat applications like Facebook Messenger or WhatsApp Messenger 24/7 by using natural language processing (NLP) technology. Hence saving companies from hiring humans for this task since these tools cost less than hiring someone who works full-time hours every day at a company’s office location(s).

Personal Assistants

Personal assistants are a form of AI. They can perform tasks that are time-consuming and tedious, or they can be used to automate processes within an organization by essentially performing the work for you. In 2022, over 95% of smartphone users are actively using voice assistants on their phones, according to a report.

Personal assistants are available on your smartphone or other devices, allowing them to follow you wherever you go. It makes them especially useful for scheduling meetings, setting reminders, and many other tasks.

Personal assistants can be accessed through apps such as Siri, Google Assistant, and Cortana, which make it easy to take advantage of their features even when your hands are full or if there’s something in front of your face that prevents manual input (like driving).

Predictive Analytics

Predictive analytics is a method of forecasting future events. It uses historical data to predict the probability of an outcome. One way to think about predictive analytics is that it allows you to predict customer behavior, employee behavior, or equipment failure based on historical data.

For example, you can use predictive analytics to track customers who have been repeating and how many times they’ve returned. It gives you insight into which customers are valuable and what products they like most so you know what items have the highest chance of selling in your store or online shop at any given time.

Another example, if a machine breaks down frequently and requires repairs every month due to there being some defect in its design, then using predictive analytics will help determine which parts might be faulty before they break down, causing downtime costs for your business as well as additional labor costs associated with fixing them each time this happens.


There is no doubt that AI is an important technology for business. It can be used to improve efficiency and make processes smarter. But this doesn’t mean every company needs to use it. Each company has different needs, so the best way to evaluate whether or not an AI solution fits your business model is by looking at what problems you’re trying to solve with the technology, who your competitors are, and if there’s already a solution available for those problems in another form or format.

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