Technology is critical to the success of firms and SMEs in this digital age. Emerging technologies are propelling the fourth industrial revolution. Artificial intelligence (AI), e-commerce, social media, the Internet of Things, 5G, and blockchain are all having an impact on businesses ranging from healthcare to banking to manufacturing. Companies are being forced to employ technology to re-imagine practically every aspect of their job as a result of the epidemic. The top ten AI technologies that will acquire prominence in 2022 are listed in this article.
- Speech Recognition: –
Speech Recognition is a technique for converting and transforming human speech into a format that computer applications can understand. Transcribing and converting human language into useful formats is a common occurrence nowadays, and it is increasing rapidly. Apple’s Siri, for example, is a virtual assistant. Speech is the most common mode of communication, as it is used by the majority of the population. The advantage of the speech recognition system is that it overcomes the literacy barrier and benefits both literate and illiterate people. Companies like NICE, Nuance Communications, OpenText, and Verint Systems provide speech recognition services.
- Biometrics: –
Biometrics is a futuristic technology that serves as a platform for human-machine connection. Biometrics is the science of recognising, measuring, and analysing the physical characteristics of the human body’s structure, form, and behaviour. Face recognition, touch recognition, Iris recognition, DNA matching, Retina recognition, voice recognition, and other biometrics technologies are gaining popularity in the digital world. Biometrics allows a person to be recognized and authenticated based on unique and particular data that is recognizable and verifiable. It is mostly employed for market research purposes. This technology is provided by #VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, and Tahzoo.
- Peer-to-peer network: –
The peer-to-peer network allows you to link multiple systems and computers to share data without having to go via a server. Peer-to-peer networks can solve even the most difficult challenges. Cryptocurrencies make use of this technology. Individual workstations are connected, and servers are not installed, so the deployment is cost-effective.
- Decision Management: –
Artificially intelligent robots can inject logic into AI systems, allowing them to be utilised for training, maintenance, and tuning. Organizations are already adopting decision management into their apps to propel and execute automated decisions to provide value to the business and profit. Informatica, Advanced Systems Concepts, Maana, Pegasystems, and UiPath are some of the organizations that offer this service.
- Marketing Automation: –
AI has been utilised by marketing and sales teams and divisions, and they have reaped significant benefits. Popular AIbased solutions include automated consumer segmentation, customer data integration, and campaign management.AdextAI has become a trailblazer in marketing automation adoption.
- Text Analytics and Natural Language Processing (NLP): –
To carry out the interaction between human languages and computers, language processing leverages test analytics. Machine learning is often used to analyse the structure of texts as well as their interpretation and intent. In fraud detection and security systems, language processing and text analysis are commonly used. NLP extracts unstructured data from a variety of automated assistants and applications. Some of the service providers include Basis Technology, Expert System, Coveo, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd, and Synapsify. It’s no surprise that these terms are among the top 15 most popular artificial intelligence technologies.
- Cyber Defense: –
At a time when the globe is entering a new phase of development, digital technology is infiltrating the working system. As more businesses use technology, cybercriminals can take advantage of the opportunity to steal information from them. As a result, the cyber defence has arisen to combat data theft. The process of cyber defence is defined as a computer defensive mechanism capable of detecting, blocking, and minimising attacks and threats to data and infrastructure of systems. Learning technologies can be created using neural networks capable of processing sequences of inputs, as well as machine learning techniques, to uncover questionable user activity and detect cyber threats.
- Virtual Agents: –
For instructional designers, virtual agents have proven to be extremely useful. A virtual agent is a computer programme that communicates with people. Chatbots serve as customer support agents for web and mobile applications, interacting with humans to answer their questions. Meetings may be organised with Google Assistant, and purchasing can be made simple with Alexia from Amazon. A virtual assistant can also function as a linguistic helper, taking signals from your preferences and choices. IBM Watson is familiar with the most common customer service questions, which can be phrased in a variety of ways. Virtual agents can also be used as software-as-a-service. Artificial intelligence is presently being employed in customer support through Chatbots and as a smart home manager, according to the top 15 trendy artificial intelligence technologies on the charts Virtual assistants are offered by firms such as Apple, Google, Amazon, Artificial Solutions, Assist AI, Creative Virtual, IBM, IPsoft, and Microsoft.
- Natural Language Generation: –
Even for humans, communicating properly and efficiently can be difficult. Similarly, processing information by machines is a very different process than processing information by the human brain, and it can be extremely difficult and complex. Natural language generation is a branch of artificial intelligence that turns text into data and aids systems in communicating their ideas and thoughts as plainly as possible. It’s frequently used in customer service to generate reports and market summaries. Natural Language Generation is provided by companies such as Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS, and Yseop. It’s no surprise that this technology is among the top 15 most popular artificial intelligence technologies.
- AL Optimized Hardware: –
In the commercial world, artificial intelligence software is in high demand. Devices are being constructed and employed to conduct AI-oriented tasks precisely, thanks to enhanced and upgraded graphics and central processing units. As the need for software grew, so did the demand for the hardware that supports the programme. Artificial intelligence models cannot be supported by a traditional chip. For neural networks, deep learning, and computer vision, a new generation of artificial intelligence chips is being created. AL hardware comprises scalable workload CPUs, special purpose built-in silicon for neural networks, and neuromorphic devices, among other things. As a result, businesses and organisations are heavily investing in AI to accelerate the development of the next generation of applications. Companies such as Alluviate, Google, Cray, Intel, IB, and Nvidia provide this technology service.
