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Top 10 trends of AI in 2021
The Covid 19 Pandemic has been detrimental for different sectoral developments. However, one sector that has benefitted from remote work practices is Information Technology (IT). Overbearing dependence on the use of Artificial Intelligence (AI) has made remote working fun and interactive. Following are some of the top trends and technological reforms governing the Artificial Intelligence (AI) mechanism-
Top Trends of AI in 2021
Artificial Intelligence has become an inseparable entity in our professional sphere. Following are a few important trends governing AI in 2021-
AI for Cybersecurity and Data Breach
With increased data usage comes the risk of data breaches. Computer Systems with increased access are becoming prone to cyber-attacks and infiltration of malicious software and malware. Therefore Artificial Intelligence (AI) endorses cryptographic codes that are difficult to decipher. They eliminate cybersecurity breaches and prevent system security from getting compromised.
AI can Assist in Structuring Data
Modern operating languages and advanced technologies will be capable of rendering unstructured data. Robotic Process Automation (RPA) will ensure the smooth transition of unstructured data through information technology (IT) semantics. However, they require Artificial Intelligence (AI) for ensuring the smooth completion of the transition process.
Many companies have introduced Artificial Intelligence (AI) Chatbots to enhance consumer service automation. The Chatbots will ensure better communication, faster grievance redressal and better feedback mechanism. Therefore Artificial Intelligence (AI) in 2021 will implement its work through Chatbots.
One of the key Artificial Intelligence (AI) trends in 2021 is the intelligent combination of Robotic Process Automation (RPA) and Digital Process Automation. Through the active usage of low code devices, AI brings potential growth of the technology components of a business organization.
Quantum Mechanics in Artificial Intelligence (AI) is useful in the process of data structuring and identification of data patterns. Quantum Computers or SuperComputers process and render information at a much faster speed than average personal computers. Therefore Quantum AI is actively used in banking infrastructure, data mining and data reconfiguration.
Robotic Process Automation (RPA)
Robotic Process Automation (RPA) in Artificial Intelligence (AI) ensures large-scale data analysis with repetitive sequencing of data. Unlike human labor, RPA does not entail any other operational cost apart from the establishment expenses. Therefore RPA is being deployed by organizations with large data samples and adequate testing mechanisms.
AI in Healthcare
Artificial Intelligence (AI) is helping healthcare industries predict data outcomes. The machine learning tools associated with Artificial Intelligence (AI) are capable of tracking human healthcare trends and patterns, identify the essential vials in the human body and keep a track of the physical activities engaged in. For example- Artificial Intelligence mechanisms embedded in smartwatches help track the blood pressure of the user.
AI with the Internet of Things (IoT)
The combination of Artificial Intelligence (AI) and the Internet of Things poses a powerful solution for large business organizations responsible for keeping a track of significant data modules and sets. This combination is sure to enhance business functioning by engaging an automatic rendering mechanism for data.
Artificial Intelligence (AI) incorporates Facial Recognition Technology. It uses biometrics to decipher information from photographic representations and video files. The information derived can further be used to compare existing information on the database.
Edge Computing is one of the most important applications of Artificial Intelligence (AI). It converts data storage files into implementable functions. It provides servers and storing data solutions for computers and apps to ensure a smooth operation while allowing for real-time data processing that is much more efficient than cloud computing.
Therefore Artificial Intelligence has evolved business functioning thereby helping the process of data analytics and large-scale data integration. The information obtained is useful for the growth and diversification of business organizations.
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