In today’s unpredictable times, businesses must balance cost-efficiency, customer ... value for real-world use cases for our customers,” said Shekhar Iyer, CEO of ArangoDB. Leveraging cutting-edge ...

The reference journey would map to personalized offerings that would (hopefully) tie back to the customer’s classification ... can use different types of machine learning clustering algorithms.

Use Machine Learning to Improve Data Quality Most companies aren’t ready for any form of AI, deep learning or cognitive computing because their data is in such poor shape.

We should adapt to unique paths taken by each potential customer. Considering all these major changes taking place, how do we adapt? Using machine learning, of course! Automate everything ...

James McCaffrey of Microsoft Research uses code samples and screen shots to explain perceptron classification ... learning code in that environment. I entered "Perceptron" as the Project Name, ...

Developers can now use ... customer 360, recommendations, identity resolution, and knowledge graph completion. Again, Neptune is not the only one to incorporate notebooks and machine learning ...

Customer churn prediction has become an increasingly important issue in global business, especially in the banking industry, where customer acquisition has become ever more costly in this notoriously ...

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning. This is something that holds great ...