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.
SAP has a B2B-Addon -apart from other certified third-party solutions by SAP- that gives the possibility of using SAP PO / SAP PI as a platform to send and receive e-commerce documents in different standards using ASC X12, UN / EDIFACT, etc.
Customers’ buying experienced has evolved into a data-driven relationship for businesses. For that reason, most organisations are today dependent on machine learning, advanced analytics and IoT to impact customer experience and drive business success. With the fierce competition going on, companies are bound to keep seeking innovative ways to engage their customers.
Machine learning is something that is starting to emerge from the science fiction books and become mainstream. There are some incredible use-cases for it. From the futuristic idea of self-driving cars, to the less glamorous but perhaps more useful idea of improved natural language processing.