Machine learning (ML) and artificial intelligence (AI) are arguably the two most common terms used in the digital business world nowadays. The majority of devices you’ll see now have some form of AI built within them, and the numbers are only increasing day by day.
Machine learning has also gone through many developments over the past few years, but more so now that more businesses are jumping on the bandwagon. It’s only a matter of time before these two technologies take over the digital world.
Whether you’re an entrepreneur, a marketer, or a journalist, learning about ML and AI trends is perhaps the best way to stay up-to-date with these technologies. On that note, here are a few ML and AI trends you need to know that’ll change the game forever.
Table of Contents
1. The increasing popularity of MLOps
Every business seeks the ability to accomplish project goals at a much faster pace, whether it’s delivering services and applications or building and evolving products. One particular way to improve the development rate of software that’s also been a very popular trend lately is by using DevOps.
DevOps is a set of practices that can improve an organization’s ability to develop and enhance applications with the help of software development and IT operations. There are several benefits to this practice, including speed, rapid delivery, scalability, and reliability.
However, much like everything else, switching to a DevOps model has some downsides as well. For instance, it requires monitoring, validation, and testing, which can be highly time-consuming. MLOps, however, is a combination of DevOps and machine learning. Machine learning is applied to minimize the need for monitoring and testing, hence eliminating the potential disadvantages of DevOps.
This technique has been a major hit among web-based businesses recently, and it’s only bound to become more prevalent in the coming years. If you want to know more about its concept, you can investigate this site for starters.
2. Hyperautomation
You’ve probably heard of automation before. As the name suggests, automation refers to the use of technologies to automate tasks originally done by humans. For instance, back in the early days of the internet, email marketing involves acquiring the email addresses of individuals and sending your email one by one.
However, today, there are programs that can automate that, so you only have to set up an email marketing campaign, and the system will do everything automatically. Needless to say, there’s a limit to what you can automate and to what extent, and that’s where hyper-automation can help.
Hyperautomation is an upgraded version of automation. It involves the use of AI and machine learning to automate the majority of tasks within a system. Its use has been an enormous help to companies in reducing operating costs. Since experts have already started working on this technology, we can expect some improvements in this practice in 2021 and beyond.
3. The introduction of No-Code AI
Website creation used to be quite a hassle in the earlier days of the internet. You have to code everything from scratch, but then no-code website builders came in. With these platforms, you can create a website without any coding knowledge, and that’s bound to happen with AI as well.
Currently, AI or machine learning development requires coding knowledge, but there are already low-code AI and ML builders out there – platforms that require little coding knowledge. Given a few years of development, these low-code builders can turn into complete hassle-free no-code builders where all you have to do is drag and drop elements to the interface.
4. More advanced chatbots
When a person visits your website, they’re bound to have some questions. Website owners address this issue by creating frequently-asked questions or FAQ pages. However, this page can only contain a limited number of questions, and that’s why website owners are starting to rely on chatbots.
As the name implies, a chatbot is an application that can be programmed to communicate and interact with visitors, which can minimize the need for live human agents. However, further improvements in this technology, which has given rise to AI chatbots, may help to totally eliminate the need for live human chat agents.
An AI chatbot is an application with a purpose similar to chatbots, except it operates almost entirely on its own. It doesn’t require assistance from a human agent as it learns continuously with each previous interaction. Hence, it can accommodate even the most peculiar inquiries of visitors, though it still requires maintenance here and there.
Wrapping up
Artificial intelligence has always been a major trend for the past decade, and now that we’ve entered a new era, it’s clear that artificial intelligence is becoming more and more powerful. However, that doesn’t necessarily mean we won’t be seeing any flaws with artificial intelligence or machine learning. After all, these technologies are mostly experimental, so we can only hope for the best from them in the coming years.
