Big Data and Analytics News & Reviews - Page 36
More Big Data and Analytics News
Acquisition will add necessary support for managing cloud native applications, NoSQL databases and big data file systems.
Using IBM data streams and AI, shipping companies and the port stand to save up to one hour each in berthing time, which can amount to about $80,000 in savings per day.
The Nvidia V100 GPU is the fastest graphics processing unit to date, and when combined with the IBM Cloud, it is designed to enable enterprises, data scientists and researchers to do more work in less time.
Startup NextWave claims that old-school processes enable little visibility, accountability and engagement, making it impossible to spot trends in time to prevent injury or enhance efficiency.
Talend and Domino’s deployed Talend, Hadoop and MicroStrategy to integrate customer data across multiple platforms—including mobile, social and email— to increase efficiency in the business.
Office 365's number of users has jumped during the past year as it continues to pull away from the others on the list; Jamf is indicative of Apple's move into the workplace.
There are new requirements for ERP systems coming down the pike, including new regulations that have made IT executives sit up and take notice. We'll be seeing many of these changes this coming year.
As high-bandwidth applications become ingrained in our daily lives, the implementation of an adaptive network–one that enables you to avoid network complexity–becomes even more important.
Increasing numbers of big-data workloads and the rise of real-time computing have slowed production in the cloud; conventional architectures have been unable to meet future demand. Edge computing is coming to the rescue.
IT giants name each other as preferred services providers and will offer all-new customer engagement platform for sales and service.
This is a new-age storage file system. For example, deep-learning analytics automatically identifies people, places and objects in photos and sorts them into albums accordingly.