Technology is evolving at an exponential rate, and when a new decade begins, we can only speculate on what new revolutionary ideas will emerge. Trending technology can provide us with a glimpse of what the future holds. Making use of such emerging technology can give a competitive edge in any sector.
In this essay, we will look at important technological developments that have emerged in the last several years. AI and machine learning, blockchain, IoT, and big data are the four sectors that we have highlighted. Then we’ll look at some of the most recent and inventive uses of these technological developments.
Artificial Intelligence and Machine Learning Technology Trends
The essence of Artificial Intelligence, broadly defined, is the use of computers and machines for problem-solving and decision-making in such a manner that it replicates the capabilities of the human mind. John McCarthy, a computer scientist at Stanford University, offers a more specific definition:
“The science and engineering of creating intelligent devices, particularly clever computer programs.” It is akin to the problem of utilizing computers to comprehend human intellect, but AI does not have to limit itself to physiologically observable ways.”
Models of Natural Language Processing (NLP)
Natural Language Processing (NLP) is a processing technology that uses AI and machine learning to enable computers to interpret written and spoken language in the same way that people do. NLP models use computational linguistics to represent rule-based human language modeling with machine learning, deep learning, and statistical learning models. Thus, computers can grasp the meaning of human language in textual or auditory form, as well as the speaker’s or writer’s intent and mood.
NLP models, in particular, function by turning unstructured input into structured data by identifying named entities through a process known as Named Entity Recognition. Another aspect of this process is finding word patterns using tokenization, stemming, and lemmatization, which analyses the root forms of words to help identify verb tenses, for example.
mHealth applications are a subset of telehealth, a larger term that encompasses remote care technologies and techniques such as Remote Patient Monitoring (RPM), which uses mobile technology to assist health goals. mHealth has evolved into a technology-fueled mostly by consumer applications available on mobile devices, which frequently do not involve human physicians.
AI technology is being used in mHealth and healthcare trends in general to analyze massive volumes of patient data, more precisely detect ailments, and better disease surveillance. It can also improve the productivity, expertise, and abilities of healthcare staff. AI is especially effective for clinical decision assistance and information management, and it has been shown to enhance healthcare for both patients and healthcare professionals.
Trending technologies summarized
It is critical for all sorts of businesses to remain on top of current technological advances. This can be more difficult for enterprises with a lot of bureaucracy and conservative executives, but in the end, it comes down to how to exploit these growing technologies to your benefit or see competitors gain market share.