Artificial Intelligence is the theory that computer systems are able to perform tasks that normally require human intelligence. AI has advanced its way into our lives by modernizing industries for healthcare, financial, education, transportation, and many more. An example is that artificial neural networks are used as clinical support decision systems for medical diagnosis in EMR software. From speech recognition to machine learning platforms, AI will soon be everywhere you look. Currently, in the market, there are different kinds of AI technologies that are helping people with everyday life and soon, AI is bound to be everywhere and in everything that we use. Let’s talk about the hottest technologies and algorithms AI is using today. 1. Virtual Agents: Be it an automated voice generator greeting you over the phone, or an actual human, customer service has been around for decades. Companies used to use only call centers until AI stepped in and has now taken over. From simple chatbots to advanced systems that can network with humans, AI is currently used in customer service and support. Companies such as Amazon, Apple, Google, IBM, Microsoft, and many more have already begun utilizing AI for their customer service. The star algorithm behind this creation is the Multinomial Naive Bayes algorithm for text classification and NLP (natural language processing). Let’s break it down: a. A set of sentences belonging to a particular class are given. b. With each new input to the sentence, each word is counted and accounted for its occurrence while each class is assigned a score. c. The highest scored class is associated with the input sentence. d. This allows word matching with the help of the equations. A simple example of a virtual agent is when you surf onto a new website and a chat box opens up with an automated message greeting you with “ Hi this is… how can I help you with our service today?” Virtual agents exist to help make customer service easier. At SDI, we can build virtual agents for your apps and websites using our software expertise and professional skills. 2. Text Analytics and NLP: NLP stands for Natural Language Processing which is a part of computer science and Artificial Intelligence where interactions between computer and human languages take place. In particular, it goes in-depth on how to program computers to process large amounts of natural language data by using text analytics and machine learning. Computational linguistics is the modern study of linguistics using tools from computer science. With the help of computer science, language has progressed further, allowing us to access it with faster speed, better results, and robustness. We have come a long way from computational linguistics to natural language processing, and simply broken down, NLP is the ability of a computer program to understand human language as it is spoken. NLP is currently used to detect fraud in security, text classification, machine translation, summarization, question answering, in healthcare facilities, and many more. Some examples include: a. Machine translation: It is a big challenge for our world to make information accessible to everyone across language barriers and places. We simply don’t have enough resources to make that possible by human translation, but machine translation completes that task by automatically converting one natural language into another while preserving the real meaning of the text, and successfully translating it. An example is Google, where they use a proprietary statistical engine for its translation service. b. Summarization: Living in the digital age our access to knowledge and information exceeds our ability to comprehend it. It does not seem as if we will slow down to process information so summarization of documents and information is where NLP flourishes. It is important because it allows us to absorb information from tons of data while helping us understand it. Now that you have knowledge about NLP, let’s take a look at the main algorithm that makes it possible for NLP to be successful. There are several different algorithms used in creating NLP for its use in machine learning, but text analytics is the key to creating NLP. According to SAS, “ Text analytics explore textual content and derive new variables from raw text that may be visualized, filtered, or used as inputs to predictive models or other statistical methods.” Are you interested in using AI in your website or application? With the help of our software development professionals, your company can utilize this technology to obtain the best service presented to you. SDI has created websites and applications for every size company for over a decade. At SDI we use algorithms used for NLP and Multinomial Naive Bayes algorithm to produce advanced software used to build your applications and websites. Talk with us today to learn more on how our use of NLP algorithms and the data that can help build your custom app and website. If you want to implement AI contact Sakshi at email@example.com or 408.621.8481 for more information on how to get started.