Big data analytics, for all their spectacular achievements, are still in their infancy and nowhere near sophisticated enough to replace human analysts on an appreciable scale. That's a fact that Lockheed Martin, a major defense contractor, keeps dead center in its sights despite their naming their marquee product "LM Wisdom."
More than a few scientists in every discipline are running for corporate jobs in data science where they can experiment on millions of people almost at a whim.
It behooves you to keep an eye on energy use and energy availability in areas where you may be affected.
A new report by research firm TechnologyAdvice finds that the top three industries currently researching business intelligence, or BI, options--technology, advertising/media, and automotive--make up just 26 percent of the market. A majority of potential buyers reported that they have an expected user base of anywhere from 50 to less than 10 for their BI software and a budget of less than $20,000.
eBay and Redbox shared their uses and plans for predictive analytics at the Predictive Analytics World Conference in Chicago recently.
There are plenty of examples of how big data tools deliver rotten results--not due to a fault in the tool, but rather a shortcoming in the strategy, algorithm and/or data sets behind its use.
Hospitals are beginning to assign risk scores that predict how your personal spending habits will affect your health--and their profits--by mining credit card purchases and loyalty program transactions.
IBM Research just announced it launched a broad 10-year initiative to "support China in delivering on its ambitious energy and environmental goals." Dubbed "Green Horizon" one of its first partners is the Beijing Municipal Government.
There's more to big data than just high availability of technology and data scientists.
The bottom line from a business perspective is that U.S. banks are impeding growth for many companies by over-culling the pool of potential buyers and users.