3 common Artificial Intelligence and Machine Learning trends in 2018

Technological evolution has always been a topic of discussion –because it has the power to change the way we’re living today. However, over the period of time, it has changed to the extent where human assistance has been replaced by smart machine and technologies. Typically, human interventions in daily operation have significantly replaced by automation. For an instance, super model smart cars have the feature of self-parking. It is possible because of the automation technology transforming our daily life.

New technologies are evolving in lighting speed and it’s important to get hold of them to sustain in the cutthroat competition in the industry. Artificial Intelligence (AI) and Machine Learning are the two most promising technologies in past few decades. In this blog, we’re going to share you about these two life-changing technologies.

Before we delve deeper, let’s take a brief look at the meaning of AI and definition Learning.

Machine Learning & Artificial Intelligence:

Machine Learning is a section of computer technology where machines are explicitly programmed to perform certain tasks. On the other hand, Artificial Intelligence (AI) is an umbrella term consisting of many sections of technologies including Machine Learning. The main function of AI is to enable computer to perform cognitive functions which is otherwise considered as human task.

AI & Machine Learning Trends to be followed

Medical Application:

Machine learning is going to harness the medical industry by potentially holding data. New medical applications are programmed after Machine Learning models that can help in identifying symptoms of diseases. It can also provide correct diagnosis. Such smart and automated medical applications can predict outbreak of endemic diseases, clinical trials, R&D to predict medical emergencies.

AI based medical systems are also helping practitioners and doctors in their operational workflows. In medical industry, it’s very common for healthcare professionals to miss out on dosage counts and diagnostic data. AI systems with optical character recognition can cross check and verify to reduce the chance of mistakes.

Industrial Application:

Machine Learning algorithms are applied in wide range of industrial operations from production management, product design to product distribution. Several industries are now investing on latest AI and Machine Learning integrated systems along with their existing systems to improve their productivity. Further, the use of robotic science and automated algorithm are used in industrial operations as a form of preventive maintenance.

Customer service Chatbot:

Another example of AI and Machine Learning is incorporation of Neuro-linguistic Programming approach in web programs to improve virtual customer servicing. In short, this system is called Chatbot. The main focus of using Chatbot is to provide faster, correct and real-time assistance to customers. By now, you are aware of mobile features such as Siri, Cortana, Amazon Echo, Alexa. These are some of the most common in the sphere of customer servicing realm. Such virtual assistants recognize human voice, interact with them and support them by providing higher efficiency technical support.

There is no ultimate technological explosion. You cannot easily come into conclusion because AI based systems are ruling the roost. Businesses are not only eager to improve their operation stances, but they are interested in turning their revenues with AI.

To know more about Artificial Intelligence and Machine Learning , get in touch with SBR Technologies.