C3 IoT announced Version 7 of its enterprise software platform for big data, predictive analytics, artificial intelligence (AI), and Internet of Things (IoT) applications, with new tools and enhancements that significantly increase the productivity of application developers, data scientists, and business analysts by enabling them to all work on the same framework.
The insideBIGDATA Guide to Data Analytics in Government provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. This is the third in a series of articles providing content extracted from the guide. The topic for this segment is government use of big data for cybersecurity.
Reflect launched the public beta of its data visualization-as-a-service platform, enabling businesses to drastically reduce the time and resources needed to build analytics and data products. Within minutes, a new user can connect to their existing data sources, use the Reflect web app to design interactive views of their data, and embed them into their application or service.
In this special guest feature, Andrew Warfield, Chief Technology Officer/Co-Founder of Coho Data, examines how Big data creates unique challenges within enterprise environments, and to better understand these challenges, we have to look at what big data really means for enterprises, particularly from a storage perspective.
In this contributed article, JP Kloppers, CEO of BrandsEye looks at the importance of human analysis in a machine driven world.
Argyle Data has expanded its core machine learning and AI application suite to engage with clients in enterprise areas including IoT security, financial services and online/mobile banking.
This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.
Nimble Storage (NYSE: NMBL), the leader in predictive cloud infrastructure, today announced Nimble Cloud Volumes, the only enterprise-grade multicloud storage service for running applications in Microsoft Azure and Amazon Web Services (AWS). Nimble Cloud Volumes will provide enterprise-grade availability and data services that have previously not been readily available in block storage for the cloud. These capabilities are necessary for moving the next wave of applications to the cloud — traditional transactional workloads — which place stringent requirements on storage.
In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best practices.
In this contributed article, Sheza Gary, a technical director at Algoworks, highlights the importance of properly security enterprise data assets by offering three main points of difference between protecting big data and traditional amounts of data.