How to make machine learning accessible to business users?
Working with classic machine learning tools requires skills in programming and data processing, which is why a special class of IT specialists - data scientists - are engaged in it. But businesses often need to quickly formulate and solve data processing tasks, build and test hypotheses on their own without turning to IT specialists.
AutoML frameworks are created specifically to enable analysts and other business professionals to solve problems using machine learning. The framework itself will select the optimal architecture of the ML model ensemble for solving the application problem, you just need to provide it with data for training.
Designing a data sample is a non-trivial task in itself: you need to build a feature vector consisting of properties of data objects of different types, use selection conditions and aggregation. Business users need a user-friendly interface for this, which we have included as one of the modules in DataVera EKG Explorer.
The AutoML module complements well the functionality of DataVera EKG Platform: the platform provides data collection, cleaning and consolidation from different sources, and the AutoML tool allows to generate a feature vector and use the platform data to train an ML model. Then, using ML-OPS (MLflow) tools, the finished model can be published as a service and used to generate predictions, enriching the data contained in the platform.
How to monetize data using AutoML?
AutoML tool can be used to segment customers, form personalized marketing offers, choose the most effective channel of communication with each customer, assess risks and solve other tasks important for business. The tool can be operated by a business user, not an ML specialist. This allows the business to quickly and without unnecessary costs to test new hypotheses and realize successful ideas. The effect of using such models can consist in reducing the costs of marketing communications, reducing customer churn, attracting new high-margin customers, optimizing staff efforts to work with the most profitable customers, increasing the conversion rate of marketing communications, and much more.
We will be happy to discuss your challenges and suggest ways to solve them using modern data processing tools.
