AI features to watch out for in 2019

In 2018 there was a drastic change in tools and applications based on artificial intelligence, those changes not only affected the internet industry but also other industries like healthcare, legal, agriculture, and manufacturing industries. AI is playing a crucial role in the development process of the world’s top companies like Google, Facebook, Amazon etc.

AI is Converting our daily business operations in such a way that we have never seen before in any prior industrial revolution. It is optimizing and automating every business process means recommends a customer to buy product-2 to the customer who bought product-1. With this in mind we have to concentrate on the “Trends” which are added advantages to the current technology

Majority of the industries have already started investing in AI and are able to reap the maximum out of it.  AI is transforming the day to day life of the common man along with the business world. Now let’s see the addons in 2019 that has made the AI functioning better compared to 2018. 

Facial Recognition

Facial Recognition is a form of artificial intelligence application that identifies people’s faces using shapes, features of the face and also using the digital image.

In the initial days, this facial recognition concepts has shown some negative impacts on every industry but in 2019 we are going to see this feature with higher reliability and accuracy. we already aware facebook deep-face program which will easily tag our family and friends with face recognition and iPhone already using face recognition feature to unlock the phone.

Taking the AI facial recognition push forward the KFC worked by Yum China Holdings Inc., one of China’s greatest inexpensive food chains are using robotic arms to serve the ice creams cones and use facial recognition technology to place orders and make payments.

Artificial Neural networks

Artificial Neural network works similar to human neurons. The human brain consists of  100 billion of neurons to function the human brain. Artificial neurons are developed to make a computer or robot or machine to act like a human being.  These neurons are injected with a vast amount of data to learn from. They take data as input to deliver the on demanded services.

There is an incredible demand for neural network and are used for composing music,to improve order fulfillment, and diagnosing medical problems. The current neural network technologies have improved a lot in 2019 and it would continue to raise the research that will improve its effectiveness. 

Deep Learning

AI, the most well-known type of AI calculations, winds up testing when the quantity of measurements of information increments. For instance, ascertaining the cost of a home, given existing home costs in an area has just two components of information. Envision endeavoring to interpret your voice into content. The issue is currently exacerbated a hundred times.

Profound learning is additionally the innovation behind self-driving vehicles and voice control. With the arrival of Amazon’s Alexa and Google home, there is a wide scope of voice-empowered applications that utilizes Natural language processing (NLP) calculations, a case of profound learning.

Quantum Computing

Quantum Computers are using quantum physics for calculations and it will give the results as accurate as the supercomputers. Quantum computers could solve complex tasks that are beyond the capabilities of conventional computers.

2019 would see more research on quantum PCs and how to make methodologies to decrease the mistake rates to make important calculations conceivable. As per Andrew Childs, Co-chief, Joint Center for Quantum Information and Computer Science (QuICS), “Current mistake rates altogether limit the lengths of calculations that can be performed, We’ll need to complete much better on the off chance that we need to accomplish something fascinating.”


There are tremendous changes in the trends of Chatbots, if you are surfing website and need any help Chatbots will act as a humans but it’s actually operated by robots,for example, if a user wants to contact to the customer support chatbots will give directions on it’s own to help that particular person to connect with the customer support executive and will give response to the customer FAQ’s

According to the research, 25% of companies will use this chatbot or virtual assistant in their customer support by the end of 2020 and predicts that these chatbots would save an estimated $8 billion revenue annually by 2022. 


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