Читать книгу Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов - Страница 88

ML has observed widespread deployment in various domains including retail industry. In the retail industry also, it has been implemented for numerous purposes as discussed earlier. Despite its widespread deployment, it has some limitations and challenges. The major challenge is handling an ocean of data from diverse sources involving structured, semi-structured, and even unstructured data. This huge data collected from various sources is generally of poor quality, and therefore, efficient data cleaning methods need to be used to infer meaningful data [17]. Thereafter, it also has the challenge of maintaining stringent privacy and security policies for this huge data. It also has a challenge of acquiring trained and competent professionals who have vision of the future data requirement so as companies are able to draw useful insights from historical data.