In this digital age, technology is of paramount importance and is the key to the success of enterprises and SMEs. Emerging technologies are driving the fourth industrial revolution. artificial intelligence (AI), e-commerce, social networks, the Internet of Things, 5G, and blockchain are affecting industries ranging from healthcare to education to finance to manufacturing. The epidemic is forcing companies to use technology to re-imagine almost everything in their work. This article lists the top 10 AI technologies that will gain prominence in 2022.
Speech recognition translates spoken utterances to the text i.e., a technology that transcribes language transforms human speech into a format useful for computer applications. For example, Siri is a virtual assistant to Apple. Speech is the most common form of communication, as the majority of the population communicates through speech. The advantage of the speech recognition system overcomes the barrier of literacy as well as serves both the literate and illiterate.
Biometrics is a futuristic technology that stands as the source of interaction between humans and machines. There are many types of biometrics technology namely face recognition, touch recognition, Iris recognition, DNA matching, Retina recognition, voice recognition, etc. that are making it big in the digital world. Biometrics allows a person to be identified and authenticated based on recognizable and verifiable data, unique and specific.
The peer-to-peer network helps to connect between different systems and computers for data sharing without the data transmitting via server. Peer-to-peer networks can solve the most complex problems. This technology is used in cryptocurrencies. The implementation is cost-effective as individual workstations are connected and servers are not installed.
Artificially intelligent machines have the capability of introducing logic to AI systems to gear them up to be used for training, maintenance, and tuning. To add value to the business and profit, decision management is already being used by organizations by incorporating it into their applications to propel and execute automated decisions.
Marketing and sales teams and divisions have adopted AI and benefited a lot from it in return. Methods incorporating AI through automated customer segmentation, customer data integration, and campaign management are widely used. AdextAI has grown to become a pioneer in adopting marketing automation.
Language processing uses test analytics to carry out the interaction between human languages and computers. It analyses the structure of sentences as well as their interpretation and intention through machine learning. Language processing and text analysis is widely adopted in fraud detection and security systems. Unstructured data from many automated assistants and applications derive unstructured data by NLP.
When the world is stepping into a new phase of improvement, the digital means is breaking into the working system. As more and more companies take technological grounds, cybercriminals are enjoying the luxury of stealing information from them. Henceforth, cyber defense emerged for the rescue of data theft. A computer defense mechanism is capable of detecting, preventing, and mitigating attacks and threats to data and infrastructure of the systems which is termed as the process of cyber defense.
Virtual agents have become valuable tools for instructional designers. A virtual agent is a computer application that interacts with humans. Web and mobile applications provide chatbots as their customer service agents to interact with humans to answer their queries. Google Assistant helps to organize meetings, and Alexia from Amazon helps to make your shopping easy. A virtual assistant also acts like a language assistant, which picks cues from your choice and preference. IBM Watson understands the typical customer service queries which are asked in several ways. Virtual agents act as software-as-a-service too.
Even for humans to communicate efficiently and clearly can be tricky. Similarly, for machines to process information is an entirely different process than the human brain, and it can be extremely tricky and complex. Natural language generation is a sub-discipline of AI that converts text into data and helps the systems to communicate ideas and thoughts as clearly as possible. It is used in customer service, widely, to create reports and market summaries.
Artificial intelligence software has a high demand in the business world. As the attention for the software increased, a need for the hardware that supports the software also arose. A conventional chip cannot support artificial intelligence models. A new generation of artificial intelligence chips is being developed for neural networks, deep learning, and computer vision. The AL hardware includes CPUs to handle scalable workloads, special purpose built-in silicon for neural networks, neuromorphic chips, etc.
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