Chatbots are an automated service, which is powered by some sort of rules and machine learning, that allows users to interact with brands online via an instant messaging interface, without having to download and install an application.
Nowadays, there is rapid progress in machine learning and natural language processing which led to the rapid broadly established, and the most popular Messaging platforms such as Slack, Telegram and Facebook Messenger are opening up their platforms to the brands and developers. Every year there are thousands of chatbot launched to take advantage of these new opportunities and reduced the cost of developing bots.
In one chat, a bot can help a customer make a decision of purchase, handle payment gateway and notify delivery. Instead of doing all this through multiple, separate message threads, all of this happens in the same simple interface. By mining available data, chatbots can provide personalized service through the ongoing interactions.
Although a better and advanced chatbot will give consumers the better sort of illusion that they are interacting with just simply with another human, scientist predicts that it will be years before a bot will fully understand the subtle nuances of emotions of humans.
Artificial intelligence is simply an ever-revolving goal for researchers, and the object of endless fascination for writers, filmmakers, and more of the general public. But despite the best science fiction visions, creating digital intelligence is incredibly difficult. The more attempts to develop an Artificial Intelligence have us looking more at how our own mind works to see how a computer could simulate the advanced core activities that create the Natural sort of intelligence. No matter how we get there, it is certain that artificial intelligence will have tremendous effects on both the economy and society. AI is becoming more prominent in the IT industry as demand for analytics is driven more by growth in both the data of structured and unstructured. Self-driving cars are the next frontier as applications of Artificial Intelligence move beyond the technology industry.
Artificial intelligence products are ranging from personal assistants to cognitive platforms and are booming mainstream in the IT industry. As packages of software grow increasingly “smarter,” with more predictive capabilities, these products are changing the industry landscape.
The advanced technology of analytics engines will likely require significant computing power. These systems and their CPUs will differ from the traditional servers. An Intel x86 or IBM architecture may be supplemented by parallel graphics processors from either the Nvidia or AMD or programmable logic chips from Altera or Xilinx within these engines. Universities and cloud vendors such as Google are the primary users. Big data, security, image identification, natural language processing and virtual reality may be among the best target applications.
Advance improvement in artificial intelligence, especially in the areas of facial and speech recognition, video analytics and relationship analysis are driving greater demand for data across all over the industries to better understand the behaviour of customers. This higher demand for both the data of varied and unvaried may further spur growth in the Internet of Things (IoT), especially as the price of sensors and storing data continues to decline. New big data frameworks such as Hadoop, which analyze these data sets, are helping drive this growth further.
The high demand for analytics has created a shortage of data scientists in the Information Technology industry. Continuous growth of structured and unstructured data across industries will further increase the need for data scientists to analyze this data. Artificial intelligence has the wide potential to fill the gap between the strong demand and supply of these professionals.
