searchsoftwarequality.techtarget.com Dec. 19, 2019
Azure Confidential Computing, AWS Aim To Better Secure Cloud Data
Microsoft recently extended its data security efforts to the open source cloud space with the delivery of confidential computing for Kubernetes, followed by AWS' Nitro Enclaves to allow IT pros to create isolated compute environments for sensitive data.
zdnet.com Dec. 4, 2018
Microsoft Open Sources The Inference Engine At The Heart Of Its Windows Machine-Learning Platform
Following its alliance with Facebook around the Open Neural Network Exchange (ONNX), Microsoft is open-sourcing the ONNX runtime engine for machine learning.
zdnet.com Nov. 15, 2018
Making Sense Of Microsoft's Approach To AI
Microsoft has a master plan for trying to get more customers to jump into the AI waters. Here's an attempt to explain how containers, accelerators and APIs all figure in.
arnoldit.com Dec. 28, 2017
Stephen E. Arnold @ Beyond Search
Most big data is flawed in some way, because humans are imperfect beings. That is the premise behind ZDNet’s article, “The Great Data Science Hope: Machine Learning Can Cure Your Terrible Data Hygi…
zdnet.com Nov. 12, 2017
The Great Data Science Hope: Machine Learning Can Cure Your Terrible Data Hygiene
Data lakes didn't quite pan out so now it's all about an abstraction layer and machine learning to save the day. Hopefully, machine learning can cleanse your data on the fly since humans have proved repeatedly they aren't meticulous enough.
data-informed.com Jun. 7, 2017
Elegant Blend Or Frankenstein Architecture?
Customers looking for Big Data success have two choices: Use the newer tools, or wait and see if the older ones ever catch up, despite vested interests in maintaining the status quo.