Big data, artificial intelligence (AI) and other emerging technologies have been the hot topics in the IT world. The opportunities and threats of these technologies and concerns about their future keep the conversation going. This interesting news came to us from CTO Vision in their article, “Why IoT Needs Machine Learning to Thrive.”
Companies are installing more and more sensors hoping to improve efficiency and cut costs. However, without proper data management and analysis strategy, these technologies are just creating more data and filling up more servers without actually being used to their fullest potential.
Tapping into that data to extract useful information is a challenge that’s starting to be met using the pattern-matching abilities of machine learning. The most common use cases for machine learning and Internet of Things (IoT) data will be predictive maintenance, analyzing CCTV surveillance, smart home applications and intelligent transportation systems. Those companies using AI and IoT today are outliers or trailblazers.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
