A new survey conducted by the Economist Intelligence Unit (EIU) and Teradata finds a huge gap in how CEOs and other executives see big data. They found that it is CEOs who now wear the rose-colored glasses. Other executives, especially lower-level managers, have a bleaker view.
CES 2015 showed us that the notion of personal privacy no longer exists in mainstream product production. The focus is keenly on the consumer not as customer but as product. And, big data users learned that a flood of useless minutiae from the IoT is headed our way to clog our pipes and create bottlenecks in analysis. So now what?
But let's assume that big data analytics spit out truths (aka knowledge, unimpeded by human biases and perceptions). Will we, as individuals, companies, and groups embrace the results and change our way of thinking? Or, will we continue to cling to the comfortable, albeit usually incorrect or only partially true, information we crave?
As we look forward to the New Year, here's a glimpse of what's to come in one area that will be further fueled by big data and machine learning: augmented reality (AR). Yes, a big part of data collection in the very near future will be capturing data from our own senses such as smell and touch in order to include such in AR.
Quite a bit of attention is given to improving data management and analysis at the data scientist level. But I submit for your consideration today an often overlooked area that needs our utmost attention: the cogs and wedges in both data entry and action execution.
When it comes to the math, there just doesn't seem to be any call for the messy, touchy, feely side of humans in the equation. This is a mistake. Why? Because no matter how well you analyze the hard facts, the chaotic, nonsensical, and sometimes totally illogical decisions your customers will make will totally trash your outcomes somewhere along the way.
Company data is scattered around all over the place, including in the cloud, and this disorganization is negatively affecting big data projects. Fortunately, there are a few vendors working now to at least partially resolve some of these issues.
The days of expecting all students in a classroom to memorize and regurgitate the same information on the same tests are numbered. In the not so distant future, real-world project results will be the prime scoring mechanism instead.
Many conservative business leaders got confused over what they were to conserve. Somehow they came to think they should protect the cash cow rather than the cash. However, it is a fact of life that no matter how well you tend to that cash cow, that sucker is going to die one day. Then what are you going to do?
There's been a lot of talk about big data use in government, but government purchases of big data tools and services have been slow to flat. This mismatch between enthusiasm and actual purchases by government agencies is bewildering to many in the industry.