Machine Learning Fragmentation Is Slowing Us Down: There Is a Solution

Machine learning is advancing at a booming pace, both in the smart devices we interact with daily, and in commercial and industrial sectors of the economy. Machine learning capabilities are being added to everything from social media platforms, internet of things (IoT) devices and cameras to robots and cars. But the pace of innovation is leading to fragmentation, and one potential consequence of that fragmentation is a risk of stalling. Fragmentation is a common problem affecting many industries that either lack standards or are inundated by many competing standards. It can especially plague emerging technologies -- ABI Research reports that fragmentation has affected the virtual reality (VR) industry -- and it can be tricky to judge when and how to standardize without stifling innovation.