I’m sure you’ve heard of the new concept of “machine intelligence”, also known as “artificial intelligence” or “artificial supercomputer technology”. This is a term designed to describe the next generation of computers – and by using this term, it’s meant to mean software programs that can operate on complex algorithms and learn from their past experiences. If you’ve ever studied programming in depth, you probably understand how this type of software can improve upon human programming through our “self-teaching” ability. So, let’s talk about what artificial intelligence actually is.
You have already been using AI in your own life, such as through self-driving cars, internet telephony and now chat bots. Recently, these technologies became accessible to the general public and businesses were quick to jump on the bandwagon. It wasn’t long before everyone was jumping on the artificial intelligence band wagon. Now, many companies are using artificial intelligence powered chat bots for customer satisfaction survey surveys.
Artificial intelligence refers to the study of systems and algorithms with the goal of improving human behavior. For instance, if you were taking a customer satisfaction survey, you would use an algorithm to determine the best way to capture the response data from a real person. However, you wouldn’t simply use one single algorithm; rather, different algorithms would be used to collect the data. And the best algorithm for capturing customer responses would depend on the data that was actually being collected. Of course, the more scenarios the survey was being performed for, the more it would need to analyze.
So, what exactly are these artificial intelligence “robots” that you hear about these days? Well, they’re actually very simple software programs that have the goal of helping humans achieve certain tasks. For instance, if you want to program a chat bot to provide intelligent answers to questions, you would feed it relevant data and it would then search the Internet for related information. The program would then analyze the data and then suggest a number of plausible solutions to the question at hand. However, in the past, these types of programs were referred to as weak ai or deep learning algorithms.
These types of algorithms are very robust and can withstand the most bizarre human behavior. They work by using a variety of different software programs and hardware to achieve the task at hand. They are considered very stable, accurate, and efficient. However, this also means that they can only do a specific task if the environment in which the task needs to be performed is available. In other words, strong ai and deep learning is great for answering a specific question, but they won’t be able to solve a whole complex problem unless the environment in which the problem needs to be solved is designed specifically.
This is where the future of business processes is headed. Experts are now calling this artificial intelligence, which can be loosely described as highly effective software that can solve a wide variety of business problems in the data-driven world of today. Deep learning algorithms are now being used to not just complete simple tasks such as completing online forms, filling out surveys, and even speech recognition. Experts are now calling this new type of artificial intelligence or AI, which is more appropriately termed artificial intelligent software.
There are many ways that you can take advantage of artificial intelligence in your business. You can use it to give better customer service by pre-filled forms that are then sent through the mail or via email. You can use it to provide real-time answers to customers who have questions, or you can provide suggestions based on collected data points from customer experiences. You can use a chatbot to log into a customer’s social media accounts and retrieve information points from their past conversations. Basically, all of these uses are done by capturing, organizing, processing, and transmitting large amounts of data that come from all sources and then storing it in a database for analysis.
Experts are calling this artificial intelligence, which is also called deep learning, because it can evaluate an issue in terms of factors that are relevant to a particular customer and then suggest solutions to a potential problem that a human may not have even thought of. For instance, if a chatbot encountered a salesperson who was cold call creating negative feedback, the chatbot would learn from the feedback that the salesperson was doing and suggest that the customer go to a competitor where they get a warm welcome. While this example is a bit extreme, think about the possibilities of using a warm welcome coupon to get the customer to your competitor. In this way, artificial intelligence with deep learning can really be helpful.
