How ML is Uniting with IoT to Transform Remote Collaboration at Work Dmytro Spilka Dmytro Spilka The artificial intelligence boom has had a transformative impact on several high-tech industries, but its integration with IoT devices could fundamentally transform the way we collaborate with our peers in remote working environments. Machine learning (ML), as a subset of AI, is a natural partner for Internet of Things technology because of its frictionless ability to work with large, unstructured datasets and convert readings into actionable insights. The way ML and IoT can improve collaboration is through the enablement of smart workplaces, automating environmental adjustments for employees, and powering intelligent communication throughout essential hardware. There’s also plenty to come from the two emerging technologies, with the generative AI in IoT market size expected to rally from $2.03 billion in 2025 to $2.61 billion in 2026 on its way to reaching a value of $6.99 billion by 2030, representing a CAGR of 28 percent. Given that 35 percent of employees still work remotely in the United States despite post-pandemic initiatives among some employers to bring workers back into the office, it’s clear that the age of WFH is here to stay in some form or another. This means that technology needs to help bridge collaboration gaps between teams working in digital environments. Studies have suggested that 53 percent of remote workers feel less connected to their colleagues, with engagement scores falling alongside an uptick in turnover rates. This indicates that more needs to be done to ensure that those working remotely can collaborate freely within their teams. Together, ML and IoT can help to replace the physical gaps that exist between distributed team members. There’s also an emerging array of use cases demonstrating why the technology could help to recapture the in-house office experience that’s