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Rapid digital transformation with an emphasis on machine learning and massive datasets is putting pressure on businesses to innovate their predictive analytics now or be left behind. Many businesses do not have the full set of resources, skills and advanced tools needed to keep up with these changes and need help shifting to cutting-edge modeling techniques.
Today’s emerging best practices in big data analytics and AI demand end-to-end excellence in model development, implementation, operationalization and maintenance. Increasingly, leading companies also need to accelerate the transition from siloed and legacy database systems to a unified approach that creates a single view of the customer across departments and operational systems.