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Top 10 AI Technologies

Priyanka Tomar | Updated On January 18, 2024

Artificial intelligence, commonly known as AI, has transformed our lives in the past decade with the latest innovative technologies. AI has brought a revolution in each industry and has profoundly impacted every corner of society. According to one of the reports by Gartner, the adoption of AI has increased significantly from 4% to 15% in 2018-2019. Looking at the growing importance of AI, you can consider pursuing a comprehensive artificial intelligence course in Mumbai, as you will be rewarded with a wide range of career opportunities as soon as you finish your course.

In this article, we have focused on the top 10 AI technologies that have highly impacted people’s lives and brought notable transformation.

Biometrics is the future technology connecting humans and machines on a much broader scale. Biometrics facilitates the identification and authentication of a person based on verifiable, recognizable, specific, and unique data. Biometrics technology is of different types, which involves touch recognition, face recognition, DNA matching, iris recognition, retina recognition, voice recognition, and many other technologies that are already ruling around the world and are frequently used as security measures in devices and attendance marking.

These days smart devices have become immensely more popular than ever before. Technologies used by people a few years ago are now getting modified, remodeled, and launched as smart devices. These devices respond by interacting with users and devices with the help of sensors, AI, and Bluetooth connection. Smart devices have made people’s lives much easier and completely dependent on them due to their broad range of features. Some of the best examples of smart devices are smartwatches, smartphones, smart locks, smart speakers, and smart surveillance cameras.

A virtual agent is primarily software that uses a virtual character generated through the computer, animation, and AI for interacting with customers through chatbot functionality. These virtual agents establish conversations with customers and offer effective responses. They have human-like characteristics and use machine-learning platforms to improve their function for providing better services. Some of the common applications of virtual agents include making reservations, placing orders, booking appointments, gaining product information, and getting solutions related to products and services.

Text analytics is an outstanding technology that has brought revolutionary impact in present-day technology. Combined with Natural Language Processing or NLP, text analytics enables a better understanding of sentence structure, meaning, intent, and sentiment with the help of machine learning and statistical methods. Presently, NLP and text analytics are used widely in security and detection.

The Internet of Things, commonly known as IoT, is a system of interconnected computing devices that come with unique identifiers (UIDs) and can transfer data over networks without any human intervention. IoT is making people’s lives easier through their integration into washing machines, coffee makers, cell phones, headphones, lamps, etc., which are operated through on and off switches.

Image recognition has a broad spectrum of applications, such as analyzing clients, verifying users by recognizing their faces, diagnosing diseases, detecting license plates, etc. It mainly refers to detecting an object, a feature in a video, or any digital image using AI. It helps social media platforms look for photos and compare widely available datasets to find and select the most relevant ones.

With an enormous amount of data being produced every second, the threat of important information and data being stolen by cybercriminals is increasing day by day. Here comes the cyber defense to our rescue. The defense mechanisms of computers are being designed in such a way that they are effectively able to identify, prevent and mitigate any threat or risk to data and system infrastructures.

These days, modern organizations are incorporating decision management systems for the interpretation and conversion of data into predictive models. Applications of organizational levels implement decision management systems for obtaining the latest information for performing business data analysis that can further help in taking better decisions in the favor of the business. Decision management systems aid in making prompt decisions, avoiding risks, and automating processes. It is widely used in sectors such as e-commerce, finance, healthcare, insurance, etc.

Robotic Process Automation, or RPA, involves an AI application configuring a robot or software application for interpreting, communicating, and analyzing data. Here AI plays a great role in automating partially automated or fully manual processes, which are repetitive and based on rules.

In the present market, artificial intelligence software has gained tremendous importance. With the increasing demand for AI-led software, the demand for AI-based hardware has also increased equally. The AI hardware involves CPUs for handling scalable workloads, special-purpose built-in silicon for neural networks, neuromorphic chips, etc. Since conventionally used chips cannot support AI models, new-generation AI chips have been developed for deep learning, neural networks, and computer vision. Big organizations are developing special chips for complicated AI calculations, benefiting the healthcare and automobile industries the most.

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