Connected, IoT-related devices are becoming more powerful, more plentiful and are generating unprecedented volumes of data. This explosion of connected devices and data is getting businesses excited in all sectors. But, it’s important to ensure that the blistering development of technology does not serve to obscure the real prize—the truly transformational opportunities that the IoT offers. And those opportunities can only be harnessed with effectively trained AI and analytics to make sense of the growing volumes of data, so it can be used to "sense, comprehend and act."
AI ranges from robotic process automation (RPA) to chatbots and virtual assistants, and from 24/7 monitoring to biometric identity or edge devices with fully autonomous decision-making capabilities.
AI training is just as important as algorithmic or procedural coding is for traditional systems. Today, that remains an industry-wide challenge. In short, AI training has to improve significantly if the business benefits that the IoT offers are to be realized.
The right type and duration of training is critical. It’s important to balance a pragmatic approach, which has human intervention and participation at the fore, with the ability of AI to train itself.