THE FUTURE OF ARTIFICIAL INTELLIGENCE: PREDICTIONS FOR 2022

One of the popular AI trends is Augmented Intelligence. The combination of robots and humans to improve cognitive performance is known as augmented intelligence. According to Gartner, 40% of infrastructure and operations teams will utilize AI-augmented automation to boost IT efficiency by 2023. In fact, by 2022, the contribution of digital employees will have increased by 50%. Platforms with augmented intelligence may collect all sorts of data, both structured and unstructured, from multiple sources and show it in a 360-degree picture of consumers. Financial services, healthcare, retail, and travel are all examples of industries where augmented intelligence is becoming more prevalent.

With the help of Advanced healthcare technology the COVID patients have been identified using big data extensively. AI is already assisting the healthcare industry in a significant way and with high accuracy. Thermal cameras and mobile applications have also been created by researchers to monitor individual temperatures and collect data for healthcare institutions. Artificial intelligence can help healthcare institutions in a variety of ways by analyzing data and anticipating various outcomes. AI and machine learning tools provide insights into human health and also propose illness prevention measures. AI technologies also allow doctors to follow their patients? health from afar, increasing teleconsultation and remote treatment.

Conversational AI, or AI-powered chatbots, improve the reach, responsiveness, and customization of the customer experience. Conversational AI solutions, according to Forrester, result in improved customer service automation. An AI-powered chatbot utilizes natural language processing (NLP) and machine learning to create a more natural, near-human-level conversation by better understanding what the human says and needs. This is also one of the best AI trends.

Information security is increasingly reliant on AI technologies. Organizations are creating new techniques to make cybersecurity more automated and risk-free with the aid of AI. AI is assisting businesses in enhancing their cloud migration plan and enhancing the effectiveness of big data technologies. By 2026, the market for AI and machine learning in cybersecurity is expected to reach US$38.2 billion. Cybersecurity entails a large number of data points. As a result, AI may be utilized in cybersecurity to cluster, categorize, analyze, and filter data. AI helps you correlate multiple data sets and search for risks by organizing data in a certain manner. By establishing a security platform that scans massive quantities of data, you can identify malware and threats using AL and ML.