Find out as you read on.
Boss: Hey Smith, I have some questions regarding the security of our web application. Could you please help me out?
Smith: Why not? I’ll be glad to help.
Boss: Thanks! Could you tell me how these Web Application Firewalls provide enhanced security? I am not sure I understand the difference between a normal firewall and a web application firewall. (more…)
The recent Ebola outbreak happens to be the deadliest attack ever since the finding of Ebola virus in 1976. According to recent reports, about 4,881 deaths and 9,964 suspected cases have been reported by the World Health Organization along with CDC, OCHA and local governments. The grimmest part is that no approved vaccines or drugs are available to treat this disease. Due to this, conditions worsen everywhere with each passing day, particularly in West Africa. As situation demands in an undertone that prevention is definitely better than cure, health care experts are looking for some means to shield people from the far-reaching fatalities. Big data makes a majestic entry at this juncture to contain the awful situation. (more…)
“Nothing was your own except the few cubic centimetres inside your skull.“
Nineteen Eighty-Four, George Orwell
Not really. At least, not since big data has been evolving to know the future rather than guessing the present.
The cornerstone of big data analytics is what Michael Shermer called “patternicity”: the endless quest to make out meaningful pattern in random noise. Predictive analytics is one of the avatars of digging up patterns.
How does predictive analytics for targeted marketing work? Imagine that consumers are in the central arena of Colosseum, the ancient Roman amphitheatre, and businesses constantly climb up and slide down the hierarchical seats. Innumerous network of data and meta data of consumers extend into the tunnels below the arena. While consumers are the target of strategic marketing, businesses pursue the data.
“Your imagination is a preview of life’s coming attractions,” said Albert Einstein. The eLearning industry seems to have adopted this as its motto with creativity enjoying a free run.
According to an IBM report, companies that apply eLearning can boost productivity by up to 50%. It is estimated that for every $1 that a company spends, they can receive $30 worth of productivity. Check out this infographic for more such promising statistics. (more…)
Research and analysis firm, IDC predicts that the total global volume of created and replicated data in 2020 may be about 35 zettabyte (1.8 trillion gigabytes) — about 18 times more than what was produced (established) in 2006. Even as data is rising to these gargantuan levels, it is shocking to know that just one to five percent gains are made from data-driven decision making. Here is an example that shows how small figures translate to gain in an industry. According to a recent article in the New York Times, a difference of one percentage in fuel efficiency would mean a savings of around three billion dollars in the airline industry.