Artificial intelligence (AI), and specifically the subset of AI known as machine learning (ML), were already generating extensive disruption in almost every field before the worldwide pandemic hit in 2020 and flipped the world on its head. The Covid-19 pandemic has had an influence on many parts of business, but it hasn't lessened the impact AI has on our lives. In fact, it's becoming clear that self-teaching algorithms and intelligent robots will play a key role in the ongoing battle against this pandemic, as well as any future outbreaks. Artificial Intelligence will remain a major technical advancement in 2021 and for the foreseeable future. The AI sector is predicted to grow rapidly in the coming decade because to the rapid growth and acceptance of current and emerging technology.

Following are the key technologies coming up with innovation in AI,

Robotic Process Automation-

More CIOs are turning to Robotic Process Automation (RPA), a developing technology technique, to optimize corporate operations and cut expenses. Organizations can use RPA to automate rule-based, time-consuming business procedures, freeing their employees to focus on higher-value tasks like serving clients. RPA aims to automate business operations that are guided by business logic and well-organized inputs. RPA solutions can be as simple as sending an automated email answer or as complex as deploying thousands of bots, each programmed in an ERP system to do rule-based activities.

Conversational AI-

Chatbots, virtual customer assistants, and virtual personal assistants are examples of conversational AI that are increasingly commonplace in enterprises. Organizations aspire to extend their company effectively with AI on the increase. Conversational AI is expected to significantly improve client interactions in 2021, making it an exciting year. An AI-powered chatbot employs natural language processing (NLP) and machine learning to deliver a more natural, near-human-level conversation by better understanding what the human says and needs.

Ethical AI-

There is a growing desire for ethical AI, which is at the top of the list of new technological developments. Organizations will provide insights on how to use artificial intelligence to important global issues, boost innovation and economic growth, and assure inclusion and diversity. Transparency of data and algorithm fairness are two of the challenges that are in the limelight as AI ethics grow more relevant to businesses.

Quantum AI-

Advanced firms focus on utilizing quantum supremacy to measure Qubits for usage in supercomputers. Quantum computers solve problems faster than traditional computers because of quantum bits. They also aid in the understanding of data and the forecasting of various distinct trends. Quantum computers will assist a variety of companies in identifying inaccessible difficulties and predicting viable remedies. Future computers will also be able to support a wide range of applications in industries such as healthcare, finance, and chemistry.

AI for cybersecurity-

Knowledge will become more available in the future years, putting digital data at higher danger of being corrupted and vulnerable to hacking and phishing assaults. AI and new technology will aid the security department in combating hostile actions in all areas. With increased cybersecurity measures, AI will assist dissuade cybercrime in the future. The AI-enabled framework will detect fake digital activity or transactions that fit criminal trends.

Edge Computing-

Edge computing connects gadgets to servers and data storage, allowing people to view and save data on their devices. It is defined as real-time data processing that outperforms cloud computing services. Another type of edge computing is that which is carried out on nodes. It's a small server that's positioned near a local telecoms provider. Nodes assist in the creation of a connection between the local service provider and the cloud. It is less expensive, saves time, and delivers quick service to clients.