The exploitation of data in the business world can be viewed as a supply chain. In the past, we had a small supply of data that was carefully curated and modeled in a data warehouse. When possible, predictive analytics were painstakingly applied. In short, we had a low-resolution view of the world and applying advanced analytics was difficult and expensive.
One of the biggest challenges with IoT is making sense of vast, unprecedented data which typically requires a data scientists’ skill set to derive actionable business insights.
In this e-book, CITO research explains key trends in machine learning and why Nutonian’s Eureqa represents a groundbreaking development with its ability to automatically convert raw data into understanding and sustainable competitive advantage.
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