While reliance on experience/intuition to hire “the right person” is rife with biases, there’s also danger in over-reliance on HR analytics to find and cultivate the ultimate workforce.
There is a constant push-pull between mathematics and the human element of what’s practical and reasonable. As our society becomes more numbers and computer driven and thereby “optimized,” expect such battles to continue until a comfortable equilibrium can be achieved.
Over the long-run, is cloud computing a waste of money? Some startups and other “asset lite” businesses seem to think so. However, cloud computing for specific use cases, makes a lot of sense—even over the long haul.
Cloud computing is consistently a top priority for CIOs, and analysts predict that in the next three years, more resources in dollars, time and talent will be allocated to cloud-based solutions. However, before the rush to shift IT responsibilities to a contracted service provider, companies should carefully consider whether they’re getting the right analytics infrastructure,…
With the “Big Data” deluge showing no signs of abating, information overload is the norm. In fact, this “information glut” suggests a larger problem. We’re suffering from information overload at the expense of free thinking and development of new big ideas.
Technical skills and programming languages come and go, usually replaced by the next big thing. But communication skills never go out of style, especially in terms of analytics success.
It’s time to look at the worth analytics can bring through a broader and more significant lens of improving societal value, and not just shareholder profits.
With the rise of peer-to-peer sharing, it also makes sense that cloud computing—which is compute and storage “resource pooling” and renting—would also gain traction. But just as there are risks in sharing property and other assets, there are also risks in sharing cloud computing infrastructures.