Splunk Dives Deeper into Streaming Data Analytics
DSP at its core is a collection of open-source Apache tools that Splunk has curated to create a unified platform that enterprise IT teams can more easily consume.
Cambridge University Uses Machine Learning To Build Better EV Battery
Using machine learning to accurately predict and improve the health and life of a battery will enable manufacturers to embed this software straight into their battery devices and improve the in-life service for the consumer.
CI and Machine Learning Growth Drive Infrastructure Upgrades
Infrastructure spending specifically to train machine learning models has grown more than 50 percent year-to-year over the past two years.
3 Ways CIOs Can Shepherd Machine Learning and AI Adoption in the Enterprise
A CIO can often be cast today in an advisory role, helping the entire enterprise, rather than a single department, to improve KPIs.
Machine Learning Brings Rea-Time to Insurers
OneShield’s clients can now use UrbanStat’s automated statistical and geographic modeling technology for machine learning.
Intelligent Remote Monitoring: Capturing Deeper Analytics
Remote monitoring has been around for a number of years, and has mainly been at the peripheries of enterprises, almost exclusively within the domain of systems administrators and maintenance teams. Now, however, remote monitoring has emerged as a prominent strategic weapon for digital enterprises.
Deepening and Expanding Business Insights Through Streaming Analytics
Streaming analytics is shining the light on better data understanding in today's enterprise. Add in the cloud's flexibility, and new applications arise.
What’s Inside the “Black Box” of Machine Learning?
Machine learning can optimize business decisions, but the decision reached by an algorithm often isn't transparent.
Could AWS Be the Right Choice for IoT and Machine Learning?
Many analytics companies have built their entire platform on top of AWS -- here's why:
How to Apply Machine Learning to Event Processing
How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices.
