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.
Last month the FBI, Homeland Security, Europol and other agencies shut down Silk Road 2, Hydra, Cloud 9 and six other DarkNet sites. The Digital Citizens Alliance found that new and far more dangerous sites have since filled the void, and pronounced this new situation a "darker DarkNet."
According to Matt Asay at ReadWrite, big companies are struggling with big data in part because of a lack of data scientists who he says are now paid in excess of $123,000 a year--and that pay scale is rising.
A scan of IP space may be helpful in identifying malware coming from North Korea. It just so happens that someone has done that. That data is now available for public use and it may be helpful in identifying threats originating from that country.
Heng Xu, associate professor of information sciences and technology at Penn State, is using big data to find hidden patterns to identify influences and influencers in fashion design in order to find emerging trends. The researchers, led by Xu, analyzed 6,629 runway reviews of 816 designers covering 30 fashion seasons over the past four years.
Many people and organizations have expressed privacy concerns with the public use of wearable cameras. Now, Indiana University and Dartmouth College professors are working on developing privacy settings to protect people caught unaware by those cameras.
The first-ever National Data Science Bowl is about to begin. Event organizers Booz Allen Hamilton and Kaggle, want to see who can come up with something akin to facial recognition for plankton.
J. Walter Thompson--or rather their JWT Intelligence arm that focuses on identifying shifts in the global zeitgeist--has released its annual trends report. Among their interesting predictions: next year we'll see the end of tracking cookies, bitcoin going mainstream, and smart fabrics leading the way in wearables "super-humanizing us."
In-store data mining and analyses are being refined everyday in increasingly sophisticated ways. One example: Hyperlayer launched its Retail Acceleration Engine (RAE) this week.
Many organizations are focused on measuring productivity and efficiency and view the hiring and retaining of intelligent employees with specific skill sets to be essential for both. However, group intelligence may be of more importance than individual intelligence to achieving market advantage.
Big data in marketing is all the rage. Everyone wants to know all there is to know about their customers and pump those sales ever higher. Alrighty, let's say you do that. Can you deliver on all those new sales? Do you have enough inventory? Can you make or get more product on time? Are margins where they need to be?
Many apps' data-collecting efforts amounted to wild grab bags and were not focused on specific end uses. This is slowly changing. Apps are getting smarter about data collection and analysis.
Check out the federal governments data plans for the next five years, as outlined by a new report.
According to a post in Wired, Hortonworks has confirmed that it "hopes to raise $100 million from 6,250,000 shares offered at $16 per share under the NASDAQ symbol HDP."
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.
Just last week, Congress passed S. 1353, the Cybersecurity Enhancement Act of 2014, and sent it to President Obama's desk for a signature. Oh wait! That one's voluntary. No biting teeth there. But Suni Munshani says next year is THE year we all get gobsmacked with a slew of regulations, and those will have teeth.
For 2015, 451 Research has an interesting list of havoc headed our way--the 6 Cs: Containers, convergence, cloud security, closets, crowd workers, and coexistence.
CenturyLink, the third largest telecommunications company in the U.S., announced that is has acquired Cognilytics, a big data and predictive analytics company based in San Jose.
This infographic in particular is of interest to data scientists everywhere. The information within came from CrowdFlower's poll of their team of data scientists on what they think will be "hot" or "not" in their world for 2015.
Big data is delivering many breakthroughs in medicine at a breathtaking pace. One of the latest examples is in post-marketing data analysis of prescription drugs.