A leading natural resources company that engages in exploration, development, and processing of petroleum, iron ore, copper, and coal wanted to replenish its resource base and enhance its portfolio by leveraging technology and innovation. The goal was to expand its exploration program for petroleum and copper.
The client initiated a joint global endowment study to explore future growth opportunities and yet-to-find (YTF) volume using data analytics and artificial intelligence.
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Infosys developed a platform-centric approach to support, integrate, and enable automation of the data science pipeline.
Designed a modern, standardized, scalable, cloud-hosted, collaborative data science platform that abstracts the complexities of the underlying computation technology and enables data scientists to solve business problems (such as finding petroleum and copper resources)
Achieved 20-50% effort savings on data modeling by abstracting the technical complexity and computing platform
Built a pre-configured AutoML pipeline for faster ROI with the ability to move the prediction model from design to production in less than 10 minutes
Increased data science efficiency with a cloud-hosted integrated data science platform that provides AutoML capabilities
Democratized data science, paving the way for citizen data scientists to make predictions and drive decisions with a few clicks and no code