Data Processing Machine Learning
Process real-time events analytic computations of streaming data.
Machine learning is having a dramatic impact on the way software is designed so that it can keep pace with business change. Machine learning is so dramatic because it helps you use data to drive business rules and logic. How is this different? With traditional software development models, programmers wrote logic based on the current state of the business and then added relevant data. However, business change has become the norm. It is virtually impossible to anticipate what changes will transform a market.
The value of machine learning is that it allows you to continually learn from data and predict the future. This powerful set of algorithms and models is being used across industries to improve processes and gain insights into patterns and anomalies within data.
But machine learning isn’t a solitary endeavor; it’s a team process that requires Data scientists, data engineers, Business analysts, and business leaders to collaborate. The power of machine learning requires collaboration so the focus is on solving business problems.