The rapid development of artificial intelligence over the next 20 years will completely change the landscape in which businesses operate. Recent innovations in AI have allowed data scientists to produce tools that can have a genuine disruptive impact on traditional business models across a range of sectors.
Amazon takes every opportunity it sees. Through AWS DeepLens it's brought deep learning closer to developers of all skills. Although it looks like an oversized web cam, it's more of a fully integrated software platform than a camera.
Hardware improvements coupled with advancements in frameworks, data and algorithms has produced the means to classify our own images. One of the essential aspects of this technology is the detection of objects within images.
Machine learning (ML) is required to study the speed, volume, and diversity of Big Data. The findings of patterns and anomalies are used by DevOps teams to improve the development of new applications.
Some commentators feel that the Internet of Things is a network of items that exchange very basic data without much intelligence being involved. They point to a lack of analysis that could interpret this data, and do something meaningful with it.
Media has created a buzz around Internet of Things and Artificial Intelligence as being applied only to niche products. The truth is that the business world has begun implementing these technologies throughout the entire enterprise schemes to improve their productivity.