9 key rules for transitioning a data and analytics strategy to the cloud
The availability of cloud services focused on data and analytics technology has matured in the last few years. Now, with varied cloud service options for
The availability of cloud services focused on data and analytics technology has matured in the last few years. Now, with varied cloud service options for
Telecoms.com periodically invites third parties to share their views on the industry’s most pressing issues. In this piece Charl van der Walt, Chief Security Strategy
As cities become smarter, officials and security experts say that current defenses are unlikely to keep hackers at bay. Most major cities have some form
With the changing streams of today’s technology, business sectors are gaining various benefits from the latest trends. As the modern world has adopted modern approaches,
The evolution of smart homes and smart buildings into complex IoT environments reflects the continuing developments in home and industrial automation. Security should not be
These days Internet of Things (IoT) connected devices impact on pretty much every aspect of our life – health and fitness, automotive and logistics, smart
Blockchain (BC) technology is the distributed storage of information with high security. BC can store data on transactions such as from who it was received,
Machine Learning applications include evaluation of driver condition or driving scenario classification through data fusion from different external and internal sensors. We examine different algorithms
Blockchain is set to change data ownership. It will help restore data control to the user by empowering them to determine who has access to
In a data-driven world, we are overloaded with massive amounts of information. More tables, more charts, more bullet-point and so on. But the intrinsic value
Analytics-driven embedded systems are here. The ability to create analytics that process massive amounts of business and engineering data is enabling designers in many industries
Back in the 1990’s, decision science was all the rage. Often looked at as the precursor to Big Data, decision science focused on streamlining decision-making