Artificial intelligence (AI) is considered one of the greatest innovations since the internet. With the promise that this technology has shown, it is now almost everywhere, and you are possibly using it in one way or another without even knowing. Machine learning (ML) is one of the key applications of AI that has become useful in various fields such as computing, software development and websites. Here are some of the key uses of machine learning that you might have used at some point, perhaps with no idea about it.

Driving continuous improvements and efficiency is always a top priority for businesses. As the digital technologies keep advancing, we keep getting more data and intelligence than ever, which help us make a better decision. Our ability to use data collection, predictive analytics, and the internet of things enhance business operations in almost every industry. Workplace safety is the latest beneficiary of machine learning and artificial intelligence. From ensuring safety in processes, assessing the factory floors, or enhancing safety in warehouses, machine learning (ML) is a promising technology that could soon make things better. Here are some ways artificial intelligence and machine learning will help in enhancing safety in the workplace.

Artificial intelligence and machine learning are making their way into the business in a big way. Every time you speak to the executives of big or small companies, you will not end the conversation without hearing their plans for investment in machine learning (ML) or artificial intelligence (AI). One of the areas that have benefited immensely from ML/AI is human resource management. Although this sector has experienced significant changes in the past few years due to the evolution of technologies, arguably, none of them has transformed HR like AI and ML. Here are some ways that artificial intelligence and machine learning are helping in human resources:

Technology and science fascinate us, there are innovations and discoveries that push the boundaries of science every year and has made artificial intelligence a concept we are much familiar to these days. Although more of the usage of applied AI (applied machine learning), which obviously requires skills, resources, and knowledge going beyond data science present a challenge usually absent in the academic and scientific research settings.