The study of artificial intelligence is advancing far more quickly than most other areas of computing. AI is already much more common in business than most people suspect, and it is only going to get more common as the programs improve. AI even has the potential to take over customer service within a few years! That means that it is vital for everyone with interest in business to understand where the field is going so they can plan for the future.

Basic Customer Service

Many of the businesses that are making use of AI are using it in a customer service role. It is relatively easy to produce an AI that can recognize common questions and provide a programmed answer to them. Artificial Intelligence also excels at basic clerical work, such as making appointments, since it only needs to collect information from an individual and put it into a form. AI can even be programmed to contact a human employee if it can’t recognize an input from the user. That makes the power of AI an ideal choice for a basic customer service role. It is often expensive to hire enough human personnel to handle those jobs at a large business, which makes an AI solution very appealing to decision makers.

Predictive Techniques

Businesses already use AI to process data. AI tends to be better at it than humans because the technology can process a vast number of data points far more quickly than a human can read through them. Humans also struggle with the complexity of dealing with that many reports, but computers just need a little more processing power to get the job done.

It is likely that programmers will adapt those techniques and turn them into powerful predictive tools more and more. After all, computers are already fairly good at looking at data to figure out trends. Predicting the future is a matter of extending those trends into the future. It will not be a perfect system, but humans also have trouble getting things perfectly accurate too.

New Roles

Nearly every industry is investigating the potential of AI, and most of them are making progress. It is likely that AI systems will start to spread out more in the next few years. They will start in a supporting role for human workers, but they will take on more and more tasks as the programmers have a chance to observe them and tweak the programs.

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Unless you live under a rock, you have probably heard a great deal by now about virtual reality, augmented reality, artificial intelligence, and machine learning. Hearing about them is one thing, but understanding what they are, how they work, and what benefit they hold is an entirely different issue. Here is what you need to know about machine learning.


Machine learning is the ability of artificial intelligence to observe patterns and take correlative action. Machine learning is essentially the same as human learning but on a much more limited scale. The human brain can make quantum leaps, while machine learning cannot. For instance, if you have a smart thermostat and turn your thermostat down every evening at 9:00, eventually your learning thermostat will begin turning the heat down on its own at 9:00.

What it can’t do, however, is make corrections based on totally unrelated information. For instance, if you were to tell your spouse that you needed to work late that night, your spouse would most likely not turn the heat down at 9:00. If you were to say the same thing to your home hub, it would not make the same correlation. You would need to either tell it specifically to leave the heat on or override it manually.


Machine learning is a subset of artificial intelligence or one of the many functions of artificial intelligence. One of the primary uses for machine learning is to track patterns and look for irregularities. For instance, machine learning is already being used to monitor your patterns of spending to alert for potential fraud when there are any irregularities. One of the most important uses of machine learning may be in the area of digital security.

While human intelligence is in most ways vastly superior to artificial intelligence, AI does have one distinct advantage. AI is capable of absorbing a vastly larger data set in a fraction of the time it would take the human brain. For instance, if we wanted to analyze hundreds of hours of video footage to look for specific patterns, a human would have to watch it all minute by minute, one video at a time. A computer, however, can scan hundreds of hours of video in just a few minutes and detect any discernible patterns as well any irregularities to any noticeable patterns. While it is not foolproof, this technology can be a significant aid to law enforcement, banks, and other financial institution and a wide range of other businesses and governmental entities.

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Machine learning is a form of artificial intelligence in which software makes decisions based on its programmed algorithms. It’s useful for various types of automation, especially when it comes to network monitoring. Although the technology is nowhere near computers making 100 percent accurate decisions, the technology continues to improve every year. Here are the reasons why businesses will need both humans and machine learning in the future.

Society’s Transition to AI

One thing business leaders must be cautious of in the transition to AI is to avoid overspending on new technology, which might become outdated more quickly than in the past. Technological development is now moving at a rapid pace, which leads to improved network solutions but also drained budgets. Another factor is that consumers are much slower at adopting AI solutions than businesses.

In order for machine learning to become more powerful, it must be embraced by consumers. Health patients using wearable medical devices are already on board, while the masses are skeptical of machine learning technology. At present, a majority of people don’t trust AI and believe it’s biased, according to recent studies by Savanta. Many people are worried about machines replacing humans in the workforce.

Disappearing Jobs

A major social consequence of automation is that it can do the work of several people, saving companies time and money. Various industries, particularly radio, are moving in the direction of more automation, and fewer humans. This shift is very appealing to shareholders, but not workers who only planned for one long career in a specific field. Machine learning can potentially wipe out many jobs across various industries, which has already been happening at a steady pace this century.

Automated Solutions

At one time, a business depended on an in-house staff of technicians to monitor its network for fixing issues related to performance, congestion, and security. Machine learning tools can now monitor network activity to make bandwidth adjustments and block suspicious visitors. Big data and cybercrime are growing, so companies need to plan ahead for improving transmission, storage, and security by studying machine learning as a viable and game-changing solution.

Even though AI is rapidly advancing, an enterprise still needs humans to do what machines cannot do yet, which includes closing sales deals. Humans are also still needed for quality control purposes and ensuring positive customer service.

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