Big data, automation doesn’t mean Margaritaville for all
It comes as no surprise that some of the more naturalistic humans are increasingly concerned about the future of their species, as new technology continues to replace the need for simple thought and responsibilities. But, wait, that’s not really true at all. Instead, it might be more of a selling point for manufacturers and software developers.
No matter what kind of technology you’re referring to, there will always be the need for some level of human oversight. I say “always” because Artificial Intelligence is still a distant advancement. Maybe not when you embargo tweets to be sent in the middle of a seminar, but rather sensitive activities such as eDiscovery and, of course, all things big data.
Big data is everywhere;
More enterprises, public sector organizations and even healthcare providers are using big data to accomplish substantial performance improvements and operational waste reductions. Big data is essentially used to turn massive quantities of diverse and unstructured information into actionable insights, better informing decision-making.
Much of the technology is automated, which is why the tools are in such high demand. However, CSO Online recently asserted that big data strategies can be completely hindered when the right analytics tools are not in place.
The article’s author, Taylor Armerding, asserted that big data will not automatically translate to strong analytics and helpful insights. Rather, he stated that big data strategies that lack foresight, thorough planning and clear goals will lead to poor decision-making and relatively low returns on investment.
The power of big data is undeniable, but qualified professionals need to be taking the lead to enjoy the advantages of this progressive technology.
Focus on integrity AND quantity;
Several experts have recently asserted that big data users need to strive for both data quantity and quality. The best analytics tools, as well as the most seasoned professionals, will often increase the chances of an optimal big data strategy, as each bit of information collected, stored and analyzed will be more valuable than when poor search processes are in place.
When planned and managed properly, big data can have profound effects on organizations of all types and sizes. For example, the medical field is now using big data to better track and understand infectious diseases, led by the efforts of the U.S. Centers for Disease Control and Prevention.
However, as is the case with virtually all new technology, experienced IT experts will always be necessary when working to achieve optimal use of big data and analytics techniques.
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