A glimpse on top 10 Artificial Intelligence (AI) innovation trends in 2021

Copyright by www.analyticsinsight.net

SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningAlthough the COVID-19 pandemic affected many areas of industry, it did not lessen the impact of Artificial Intelligence in their daily lives. Thus, we can assume that AI-powered solutions will undoubtedly become more widely used in 2021 and beyond.

Here are the top 10 Artificial Intelligence (AI) innovation trends to watch out for this year:

AI for Cybersecurity and Data Breach

Knowledge will become more available in the coming years, putting digital data at higher risk of being hacked and vulnerable to hacking and phishing attempts. AI and new technologies will help the security service in combating malicious activities in all areas. With strengthened safety initiatives, AI can help prevent cybercrime in the future.

AI can Assist in Structuring Data  

More unstructured data will be organized in the future using natural language processing and machine learning methods. Organizations can take advantage of these technologies to generate data that can be used by RPA (Robotic Process Automation) technology to automate transactional operation. RPA is one of the tech industry’s fastest-growing segments. Its only drawback is that it can only work with structured data. Unstructured data can be easily translated into structured data with the aid of AI, resulting in a valuable performance.

AI Chatbots

Many industries and companies have deployed AI-powered chatbots in the previous years. Better customer service automation is possible with AI chatbots. These conversational AI chatbots will begin to learn and develop their understanding and communication with customers in 2021.

Intelligent Automation 

The Covid-19 pandemic is quickly shifting automation priorities away from front-end processes toward back-end processes and business resilience. Intelligent Automation can, in reality, combine robotic and digital process automation with practical AI and low-code devices. While growing their operations, these innovations will help companies become more competitive and robust. […] 

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