Travel was perhaps the first industry to be hit hard by the Coronavirus pandemic and post COVID-19, it is estimated that more than 50 million professionals would be laid off. With the whole world getting into a lockdown phase and with no saying when things will get normal again, it’s a huge challenge ahead. While people still want to go out and see places, it’s a health risk, not many would like to take on. However, the best response to this crisis is going to be the responsibility of the tech giants. In not just tracking the virus but also to identify and forecast future outbreaks (we already have smaller outbreaks happening all across), it will be data science, AI and related technology that will save the day.
- AI for virus diagnosis
Companies like Infervision have already come up with an AI-based solution that assists healthcare professionals in both monitors and detect the disease. With an improved diagnosis, it could be the new norm of travel.
Whether you are a technology enthusiast or not, you must have heard of the term IoT (Internet of Things)? It is a trend that has caught up to our lives and soon we are going to witness a significant change in using smart devices as they will all be smartly connected.
The prime fuel to the IoT ecosystem is the data from the devices that are being managed by edge analytics. Edge Analytics goes beyond just collecting data from the source of its production and is more about the data being processed so that IoT can use it more effectively for better operations. This collected data is then processed, making IoT independent of internet access at all times.
Hence, effectively, with edge analytics in place, IoT devices can use data every time.
Automation has engulfed the business landscape. With advancements in technology, robots are getting more and more precise and are approaching human intelligence with cognitive capabilities. Edging automation down this path will augment humans by taking care of tasks that require human judgment or intervention repetitively.
Sounds promising, isn’t it?
Humans are moving closer to a world driven by technology, wherein automation will take care of mundane jobs and humans will be free to do more productive tasks. Machine Learning, Natural Language Processing, and Speech Recognition, collaboratively, define Cognitive Robotic Process Automation.
The applications of Cognitive Robotic Process Automation are quite widespread; let’s dive deep:
Tremendous advantages of Cognitive RPA have been witnessed by various marketing channels. A chatbot is a perfect example of a robot that is capable of answering queries regarding products and services without any human intervention. Voice assistants and recommendation engines have taken marketing to a whole new level where humans do not need to offer suggestions. Robots are able to perform human-like processing of data to assist customers, enabling them to make a choice.