Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for PMG360. He is a technology writer and editor with 20+ years experience delivering high value content to readers and publishers. 

Find his portfolio here and his personal bio here

Machine Learning Can Teach Your Workforce

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:

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AI is Changing the Workplace

Artificial intelligence (AI) is changing every industry but is fast proofing to be a boon for modern workplaces. It is changing how we live our lives and how we work and perform various tasks. AI can help handle mundane and repetitive tasks across workplaces, thus freeing up workers in different departments to handle other problems that are complex and impactful to the running of organizations. In other words, AI is giving modern workers time to focus on the most engaging parts of their jobs while reducing the cost, enhancing productivity, and improving effectiveness. With this impact, you will soon see AI taking over almost every department in organizations while AI machines will increasingly take over some tasks that humans currently do. Here are some recent advances in businesses that are currently benefiting from the recent advances in AI:

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Machine Learning Proves Challenging - Still

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.

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