AI Trends in 2021

0
358

Covid-19 pandemic had hit every industry worldwide in distinct ways but still the pandemic strike didn’t diminish the use of Artificial Intelligence in our routine life. AI is growing abundantly. It will rise even further.

Cybersecurity: Digital data will be more susceptible to the risk of a breach in the impending years. Artificial Intelligence and new technologies will thrive to bolster the security to fight these malicious activities. With more intelligent and enhanced systems, AI would be apt to prevent cybercrimes in the future.

Chatbots: The majority of companies now make use of AI-powered chatbots for customer engagement. This helps to provide the client with 24/7 support and also serves the customer with accurate information thus raising customer satisfaction.

Health Care: AI has an exceedingly notable role in the very future of humanity. But whenever a person thinks about AI the initial picture that comes to mind is a white human-sized robot using a computer. Well, the times have changed. AI is not merely being used in the industrial field but also in the medical industry. AI is used to detect diseases and even drug discovery. They are also used to deliver healthcare services.

Internet of Things (IoT): AI and the IoT are the two most spreading wildfires in the history of mankind. They are going to be the future of humanity. So in this very year of 2021, Artificial Intelligence and the Internet of Things are going to merge thus leading to a very important change in our everyday life.

Intelligent Automation: Intelligent automation is the combination of Robotic Process Automation (RPA) and artificial intelligence (AI) technologies. Together they can accelerate digital transformation, increased product efficiency, product service, and innovation. They even reduce the costs and risks. This will help companies and organizations by an extensive amount.

Edge computing: Edge computing processes data closer to the source. It reduces the overall amount of data flowing so it causes lower latency and enhances the overall speed. Edge computing is seeing rapid growth as it is projected to reach 41 billion dollars in market value by 2027.

Facial recognition: The global facial recognition market is expected to reach 6 Billion USD in value by 2021. Face recognition systems utilize computer algorithms to pick out specific, distinctive details about a person’s face. For example their eyes, the shape of their nose. And then they convert it into a mathematical equation and compare it to the data in a face recognition database. It’s now one of the most commonly used security system along with fingerprint recognition.

Follow and connect with us on Facebook, Linkedin, Twitter

LEAVE A REPLY

Please enter your comment!
Please enter your name here