Artificial intelligence needed to make sense of IoT data - Internet of Business

IBM says machine learning necessary to process vast quantities of data produced by sensors. Artificial intelligence and machine learning will be an essential part of IoT systems as organisations struggle to make sense of the enormous amounts of data produced by the Internet of Things. In a keynote speech at the IFA trade show in Berlin, Germany, Harriet Green, global head of IBM Watson IoT said that "millions of sensors are giving appliances and devices eyes and ears, increasing their inbuilt intelligence and enabling them to interact with us better." "The challenge is that over next few years, the Internet of Things will become the biggest source of data on the planet," she said. "That's where IBM's Watson cognitive computing system comes in. Watson uses machine learning and other techniques to understand this data and turn it into insight, which can help automate tasks, enable manufacturers to design better products, innovate new services and enhance our overall quality of life – especially in the home. And with cognitive technologies, interactions with'things' through natural language and voice commands will dramatically improve."