Big Data and Analytics News & Reviews - Page 4
More Big Data and Analytics News
eWeek Editors | Updated
eWEEK DATA POINTS: When paired with a persistent, real-time, single customer record, AI and automated machine learning platforms can be utilized to meet those business goals, increase revenue and fundamentally change the way brands communication with customers.
eWEEK TREND ANALYSIS: AWS has the early lead in the COVID-19-related cloud expansion, but competitors are experiencing some overload issues.
eWEEK IT SCIENCE: Frustrated with navigating the tradeoffs between speed and security, Wizards of the Coast sought out a cloud-native solution that could provide agentless visibility and packet-level granularity. ExtraHop turned out to be the answer.
eWEEK PRODUCT OVERVIEW AND INSIGHT ANALYSIS: CloudBolt is a cloud management platform that helps enterprises centralize workload automation and orchestration, achieve unparalleled hybrid cloud visibility and cost-savings and deliver self-service IT for developers.
eWEEK IT SCIENCE: The usual-suspect business intelligence tools couldn’t keep up with the volume and complexity of Samsung’s mobile device data. So the huge company turned to Sisu for its analytics expertise.
eWEEK NEWS ANALYSIS: However, along with its important purpose, the project is fraught with potential snags involving personal health care and geo-tracking data that could become problems in the future, according to data privacy advocates.
eWEEK PRODUCT ANALYSIS: Scality offers respected software-defined solutions for today’s reality of hybrid- and multi-cloud data storage and management.
eWEEK DATA POINTS: Almost every day, we hear about a disaster or event that may impact how a company operates and services customers. At the moment, it's COVID-19. In this article, we offer nine steps on how companies may remain resilient regardless of the outside events.
eWEEK TREND ANALYSIS: The COVID-19 coronavirus has thrown the supply chains for some industries into disarray, but when you add the oil price war into the mix, the result is near chaos. A good analytics program can offer predictive help in situations like this.
eWEEK DATA POINTS: An enterprise can take six to 18 months to deploy a single machine learning model to production. By that time, requirements can change, and time and energy are lost. Continuous development can be an answer to this problem.
eWEEK NEWS: Honeywell isn't often in the news for its IT innovation, but the venerable company deserves a look at what it's doing in several IT sectors.