Building AI solutions end to end – from setting up a Data Lake, building Machine Learning models and their deployment
Data analysis, combining internal and external data sources and creation/deployment of machine learning models are challenges for companies that want to become data-driven. Data has to be easy accessible and analysed in self-service but governance and control is still needed. Data may be in your own data center and is not allowed to leave it, but has to be combined with data stored on public clouds. After building a model it is necessary to control its accuracy, monitor its decision behavior, and rebuild it if necessary. We will explain and demonstrate how IBM Solutions for Data & AI can help you coping with these challenges.
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