Machine learning: 4 adoption challenges and how to beat them

In the first quarter of 2022, global funding to artificial intelligence (AI) startups reached $15.1 billion, according to CB Insights' State of AI report. However, machine learning (ML) algorithms can lead to counterproductive results when deployed without reason. Here are four common challenges that companies implementing ML-based systems may encounter, along with some expert tips to maximize the impact of algorithms while avoiding missteps. For some companies, the first issues with AI and ML adoption come before starting. Machine learning is a vast, multifaceted discipline pervading most aspects of artificial intelligence.