CIOTechOutlook >> Magazine >> September - 2016 issue
Machine learning and the Hadoop Overhaul
By
Big data is will be the reason for huge technological advancements and with huge technological advancements also brings the scenario of fewer jobs for tech and other companies alike. Gartner predicts that by as soon as 2018, smart machines would overtake a chunk of jobs in atleast 50 percent of enterprises. Smart machines are capable of being useful for both enterprises as well as small companies in the sense that they fully automate tasks and remove human contact. Big data has the power to augment cognitive thinking and physical performances of individuals to serve as an extension of their own individualistic capabilities. Along with the extensive technologies of face recognition, voice identification and audience profiling can go a long way in making the job of the CIO easier than it is today. Although many assistant technologies are present today, enterprises are showing a keener interest as they realize the importance of these small marvels in helping gather actionable insights from large silos.
Additionally, improvements in machine learning, analytical and data learning applications have empowered machines to be able to write business content articles akin to reports and white papers. In this regard many content management vendors are able to add better content owing to the advancements in analytical capabilities of their systems. Business users want to reduce the time and complexity of preparing data for analysis, something that is especially important in the world of big data when dealing with a variety of data types and formats.
Best examples of these can be found in the form of Apple’s siri and Cortana from windows, which through their cognitive functions are able to provide richer and a much fuller content. Similairly submachines are poised to only add into the growing data deluge and its proper extraction rests in software skillsets such as hadoop to name a few.
Hadoop has for a long time been a synonym for big data, however as Hadoop becomes more of a core part of the enterprise IT landscape, we are poised to see huge investments in this arena starting with the network security domain. Along with the combination of other add ons such as Apache sentrys, data teams are now able to extract more precise information from existing Hadoop clusters. Such processes are what will drive the technological growth of tomorrow as they actively eliminate barriers in enterprise adoption to a large extent.
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