Data Science as a Service: Leverage Expertise and Data Enrichment to Optimize AI Value
December 9, 2020
The most high-profile applications of artificial intelligence (AI) and machine learning (ML) are delivered by household names like Amazon, Google, NetFlix, and Uber. However, organizations of all sizes, across all industries, have recognized potential in AI for reducing costs and risk, improving the customer experience, increasing sales, and producing new products.
Success with AI projects has been mixed. In this paper we will look at how to discover the potential AI use cases for your business and alternatives for implementing them. We will also describe a flexible, customized data science-as-a-service approach that reduces the risk of getting started with AI and address the role that data enrichment can play in getting more value from your AI investments.