What the C-suite can learn from the Marriott/Starwood megabreach
The real question is, could the intrusion have been detected earlier?
The real question is, could the intrusion have been detected earlier?
'CIOs who master these IoT trends have the opportunity to lead digital innovation in their business,' says Nick Jones, research vice president at Gartner.
The British regulator has fired the first shot across the bow of foreign companies processing European personal data, writes Frith Tweedie of EY
We need to take into account the increased risk of cybersecurity breaches when considering the design of the open banking regime, writes Nicole Buisson of Xero
After three years as business transformation manager, Rebecca Chenery made the leap to the newly-created position.
1.The concept is still quite new. The term data lake, credited to Pentaho CTO James Dixon, has been bandied about for several years. But the idea of data lakes as corporate resources is still in its infancy, according to IDC analyst Ashish Nadkarni. A data lake is defined as a massive--and relatively cheap--storage repository, such as Hadoop, that can hold all types of data until it is needed for business analytics or data mining. A data lake holds data in its rawest form, unprocessed and ungoverned.
Big Data. Predictive analytics. Real-time. Actionable insight. There's a buzzword smorgasbord around the use of data to derive value. It doesn't help that sometimes the benefits can be esoteric, or at least hard to visualize. But sometimes the benefits are crystal clear, as in the fight against sepsis, one of the leading killers in the US.
In these heady days of Big Data, a lot of organisations treat data collection like a Pokémon game: Gotta catch it all. But Dane Atkinson, CEO of cross-platform marketing analytics specialist, SumAll, says most organizations need to think wide, not big, when it comes to data.
Anant Jhingran is no fan of the term 'data scientist.'
Job applicant tracking systems capture massive amounts of info on candidates. But all that data doesn't help if the best candidates aren't able or willing to complete the process. Going more simple and streamlined can make it easier to find talent.