July 2, 2012
Venture Capitalists are licking their chops after watching several companies vie for funding in Microsoft’s Kinect demo day. Kinect, for some that might not know, is the motion-sensing accessory for the Xbox 360. The technology is quite impressive. I have one and have been using it for sports video games. My family loves its application for dance and exercise-type games.
People have been hacking the Kinect since it launched but kudos to Microsoft for allowing the ideas to flourish rather than clamped down on user modifications. Having elderly parents, I’m intrigued at some of the ideas with regards to medical and mobility applications. Check out the link provided.
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July 2, 2012
Great video from Greylock scientist DJ Patil
Dr. DJ Patil (not actually a DJ) is the data scientist in residence at Greylock Partners, the renowned Silicon Valley venture capital firm, and in a talk at LeWeb London, he unleashes a mighty nerdgasm all about the power of big data.
He tells the audience “the demand for data scientists is at a record high” and that “data is the new black.”
July 2, 2012
The explosion of data available today has been both a blessing and a curse to enterprises in all verticals. The ability to collect, store, mine, and analyze huge quantities of data has changed the way that companies do business, providing a competitive advantage to those companies that can best leverage their big data. According to a report by Mckinsey Global Institute, “a retailer using big data to the full could increase its operating margin by more than 60 percent.” Such an advantage is hard to ignore. Yet the increased storage and use of this data increases the complexity associated with securing that data.
As concerns around data security grow apace with the adoption of big data mentality, some companies struggle to find the balance between collecting enough data to compete and ensuring that their business is not threatened by the likelihood of a compromise. Data protection remains a vitally important element. In fact as more data is collected and stored, data protection should become a more prominent concern for enterprises.
Big data can contain many different categories of sensitive data – customer data, corporate information, and even intellectual property. The vast majority of the data is in semi-structured or unstructured format. Both the quantity and the structure of the data bring with it concerns about security and close on its heels, performance. However, performance doesn’t need to be an issue when considering theencryption of big data. Technological innovations, such as IBM’s AES-NI, can help companies have their data and use it, too.