In this special guest feature, Cecilia Pizzurro, Senior Director, Strategic Data Projects at LOGICnow, discusses the convergence of data/machine learning and cybersecurity, and the idea that these two are playing off of each other in a more meaningful way than ever before. Cecilia leads a team of data scientists and software engineers in Cambridge (US) and Newcastle (UK). These teams use machine learning and big data analytics to find business value in the vast amount of customer data gathered from LOGICnow's products. She was also the co-founder and CTO of the The Dolomite Group, a South American mining consortium, pioneering machine learning and big data analyses to improve mining efficiency and reduce environmental impact in Peru. This company is currently finalizing its acquisition by a Chilean mining company.
Today's IP video cameras are easy and inexpensive to deploy, thanks to transmission of data via Ethernet. From interactive whiteboards to full-range ceiling speakers and laser projectors, there are plenty of new education solutions on the market to help schools and universities solve learning challenges during the 2016-2017 school year. A new report from the security vendor reveals ransomware to be the biggest but far from only significant threat plaguing businesses presently. Let's take a look at all the capable hardware available now (or coming really soon) that could very well be the one productivity device a user needs. At ISTE 2016, Samsung debuted its new research into virtual reality in the classroom.
From big players to small and midsize businesses, every organization has faced the impact of cyber threats at some point. But, the new generation of automated cyber attacks will affect multiple businesses to an unimaginable extent. With the onset of the digital age, going online became a necessity for every business. Most business processes, data storage, and data exchange are now handled digitally. Data has become such a significant asset that companies have started monetizing their data.
As 2016 draws to a close, the annual tradition of predicting next year's technology trends is as eagerly anticipated as the exchanging of Christmas gifts. Many will predict, unsurprisingly, that data science and machine learning will be bigger parts of many IT departments' plans. Those CIOs that are yet to adopt such technologies will need to start soon, and those that have experimented with them need to adopt them. What these predictions are likely to lack, however, is exactly how this should be done. Machine learning and AI are now the buzzwords to drop, much like "cloud" and "big data" have been in the past, to the point that they become almost meaningless and derided.