Three Artificial Intelligence Trends For 2021

AI is among the most useful technologies to have come out after a long period. There are numerous use cases that aid developers and business owners in achieving their objectives, in addition to helping the community. All industries have benefited from data management, machine learning, and other aspects of artificial intelligence.

On a yearly basis, we come across many exciting things that cause breakthroughs and new possibilities through AI. The year 2021 is almost here, so we would like to talk about what will happen soon. Understanding how AI will progress in the next few years can allow making smarter choices when building a website and company or chilling out at home. Continue reading for a list of the main AI trends for next year.

The IoT Growth

We are confident about saying that almost all of us utilize different IoT products on a daily basis. The term ‘IoT’ refers to products equipped with sensors, software, and artificial intelligence technology that all serve a particular purpose.

Home security products, smart tennis rackets, and many other things are considered Internet of Things devices. We anticipate seeing the release of a greater number of those products soon, including the latest models of the existing IoT devices.

Polls point to smart speakers as some of the best-known IoT devices available in the market. According to 72% of smart speaker users, the device is involved in their everyday routine. In other words, individuals fancy the notion of using the speakers so expect to see many new exciting products from the likes of Google, Amazon, and several other enterprises.

Another noteworthy thing is that the IoT device count will reach 75 billion by 2025 around the world. Considering that it was 7 billion in 2018, plus almost 30 billion last year, the above does not appear to be beyond the realms of possibility.

Further Data-Driven Choices

We are beginning to notice that AI’s capability of handling data is steadily increasing. Presently, some doctors use it to help identify the nature of certain health conditions with 90% to 97% precision. AI software can diagnose conditions such as the flu through the measurement of data related to people against a bigger evolving set of data to arrive at a diagnosis.

Enterprises, too, are fueling their success with big data. Marketing has changed considerably from single-product buys to a tier and subscription-based system. Look at Software as a Service (SaaS) providers, and then you would realize that this is a very common trend.

SaaS companies are designing tiered systems that persuade users to seek the right item for their requirements. That is possible because of the data the companies collect across many different marketing platforms with artificial intelligence. This is becoming such a common trend that several parties make this prediction: 80% of existing and new vendors will utilize subscription models by 2020.

While people may use data for more informed choices related to marketing, there is practically no limit regarding data use as a way of solving issues next year. Be ready to notice more professionals from multiple sectors who try to make their workflows better and save their time with data.

Focusing On Cybersecurity

Undoubtedly, the trendiest matter of this year, i.e., the coronavirus epidemic, will considerably affect cybersecurity development. Several enterprises did not expect that such a large number of people would ever work remotely. At the same time, a few of those telecommuters lacked a solid understanding of how important cybersecurity is.

Considering that about 45% of every cyberattack is targeted to small enterprises, you may realize that a market exists for smarter more robust cybersecurity products.

Developers and enterprise owners are seeking ways of sharing information, collaborating on an occasionally massive scale, plus completing each of their projects punctually. A cyberattack is the only thing required to fully derail the above.

Therefore, individuals continue to experiment with the limited abilities of artificial intelligence in cybersecurity. Moreover, the rates of recruitment reflect how fast those individuals are attempting to speed up the aforesaid process. As per a recent piece of research, there exists a huge demand for an international security workforce.