Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from…
Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing…
Planes taxiing for long periods due to ground traffic — or circling the airport while awaiting clearance to land —…
A central issue in machine learning is how to train models on sensitive user data. Industry has widely adopted a…
Cross-device federated learning is an emerging machine learning (ML) paradigm where a large population of devices collectively train an ML…
Online commercial app marketplaces serve millions of apps to billions of users in an efficient manner. Bandit optimization algorithms are…
A functional data ecosystem must incorporate notions of Ontology in order to be scalable and sustainable.Editor’s note: This is the…
This series tackles the rarely simple and often messy solicitation process. We explore how organizations can better evaluate digital transformation…
There are over 30 million people in America who have diabetes, and people with diabetes need to remain vigilant about…