The future of Artificial Intelligent Chat Bots is the implementation of deep learning into chatbot technology. We’re not talking about programming a robot to perform a task; we’re talking about training a chat bot to process large amounts of information and then communicate with humans in the form of customer service or product support. In other words, these chat bots will use pre-programmed algorithms to analyze the text that is being exchanged and then make relevant connections. We’re not just talking about recognizing faces or reading lips; rather, these artificial intelligence chat bots will use complex mathematical algorithms to preform conversations and handle them in a highly intelligent manner.
So what exactly is “deep learning”? Deep learning uses an artificial intelligence network (GAN) to superintensify tasks by combining multiple previously studied methods of artificial intelligence. In other words, it attempts to solve problems through a combination of the most relevant learned human behaviors. It’s widely accepted that humans can beat computers at chess, Go, Tetris, and so on… so why can’t they beat an AI chat bot? Well, one reason is because the simplex algorithm used by Google’s Deep Learning suite doesn’t allow for very complex problems and the resulting solution requires very human intervention.
So how can you leverage this artificial intelligence to improve your business processes? Deep learning algorithms are able to recognize patterns and extract relevant pieces of information from massive amounts of data. Then they can be used to make intelligent decisions about your sales process, your customer support process, your product design and so on. Now we’re not just talking about big brand names, but small businesses as well.
How do you leverage this artificial intelligence into a positive outcome? You can use an entire network of algorithms to analyze your marketing data, your product data, your website content and more. What this means is that not only can you train your AI’s to respond to human behavior, but also to respond to different stimuli coming from real humans. The result is that your AI will understand not only what is said to them, but what is actually found in the materials they’re browsing. This means that not only can you use these algorithms to gain an edge over your competitors, but also that you can tailor each conversation and interaction to fit your specific business needs.
As an example, consider the idea of strong and weak AIs. In this case, we’re assuming that you have a strong, profitable business that receives a wide variety of queries on a daily basis. But what if your website was receiving a significantly fewer number of queries? What if, thanks to deep learning, your AI’s were designed to recognize the weaker sites based on weak keywords? What if your AI’s recognized the words like “buy”, “free”, and so on… and then responding to those weaker keywords?
The results may surprise you. Instead of suffering a dwindling number of customers, you’ll notice a dramatic increase in traffic. Your sales will begin to grow at an accelerated pace. But most importantly, your customer satisfaction will skyrocket. In this example, you’re using a machine that was trained using customer satisfaction data to analyze your competitors and the conversations they have with their clients.
Now, there are two main schools of thought about artificial intelligence: one is the type of artificial intelligence that aims to teach machines to think and reason like humans. The other school is the type of artificial intelligence that aims to teach machines to be strong, competitive and adaptable. These are very different goals from what the Google search engine is attempting. At Google, they’re attempting to teach a computer to think like a human in order to provide relevant search results to its users. With these two competing goals, it’s easy to see why an A AI chat bot could end up being more powerful than a human to determine what’s best for your company. While you might find an initial increase in sales with an A.I., you could also find your business in a tough spot as it deals with customer complaints and negative reviews.
A human can’t help but get emotionally attached when they’re making a purchase or finding a product. But with a deep learning artificial intelligence system, you wouldn’t need a person’s emotions because those things are pre-programmed into the system. Plus, A.I. would never get angry or upset because it has no emotional awareness of the situation.