analytics
A safer world made possible by connected, intelligent machines
In our quest to connect everything to the Internet, we are entering a new phase of incorporating machine learning and big data analytics to glean insights and improve decision making.
Read moreWi-NEXT in partnership with IBM makes smart manufacturing a reality
Wi-NEXT®, the global Industrial Internet of Things (IIoT) edgeware hardware and software provider, has announced a partnership with IBM® for the delivery of predictive and quality analytics for manufacturers. The companies’ combined solution offers an advanced analytics platform that is especially useful in the fast-moving consumer goods and food service industries.
Read moreMachNation identifies 10 AEPs that meet enterprises’ criteria for providing IoT solutions
After an in-depth evaluation process, MachNation identifies 10 AEPs that meet enterprises’ criteria for providing IoT solutions.
Read moreBig data analytics – it’s big but is it clever?
How to have a data strategy that integrates All the Data, without all the hassle
Read moreCisco announces its intention to acquire ParStream
As the burgeoning Internet of Things (IoT) becomes a reality, Cisco estimates that 50 billion devices and objects will be connected to the internet by 2020. “With this massive number of new connections, valuable data will be created at an even faster pace than most companies can manage,” says Rob Salvagno, vice president corporate business
Read moreProcurement decision makers expect predictive analytics and IoT to have biggest technological impact – says survey
Xchanging plc, a business technology and services provider, has issued the third set of results from its 2015 Global Procurement Study, focused on how technology is transforming supply chain operations. The study is a major international project that surveyed 830 procurement decision makers across the UK, Europe and North America.
Read moreThree business uses of predictive analytics
Businesses can use predictive analytics to derive value from the vast amounts of data generated every day. Here, Murali Nadarajah of Xchanging examines three practical applications of the practice.
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