How To Solve IoT's Big Data Challenge With Machine Learning

Machine learning will come of age this year, moving from the research labs and proof-of-concept implementations to cutting-edge business solutions. Along the way, it will help power innovations such as autonomous vehicles, precision farming, therapeutic drug discovery, and advanced fraud detection for financial institutions. Machine learning intersects with statistics, computer science, and artificial intelligence, focusing on the development of fast and efficient algorithms to enable real-time data processing. Rather than just follow explicitly programmed instructions, these machine learning algorithms learn from experience, making them a key component of artificial intelligence platforms. Machine learning may also help us with a challenge from one of last year's most buzzed-about technology developments: the Internet of Things.