Big Data and Hadoop Development 2016

What is Big Data?

Let’s demystify this concept. Simply put, Big Data can be defined as the compilation of huge datasets that can’t be processed making use of conventional computing methodologies. It is neither one single tool nor a procedure. It rather engages multiple areas of technology and business.

Big Data Management & It’s Significance

For companies of every size, data management has gained an added dimension over the years. From being considered as a core competency today it is viewed upon as a crucial differentiator that holds the key to verify market winners. In the recent times, the government bodies as well as Fortune 1000 organizations have immensely benefited from the enhancements brought upon by the web pioneers. Furthermore, these companies are also outlining fresh and revolutionary practices and re-estimating the present strategies to review the methods in which they can convert their businesses with the usage of Big Data. This attempt has made them realize the basic nature and importance of Big Data. Forward thinking organizations today have understood that Big Data indicates a harmonious blend of innovative initiatives and technologies that involves data that is fast-changing, extremely varied and colossal.

However, in this highly developed and high-tech era, that makes it possible for companies to realize the real utility and value that Big Data management entails. For instance, modern day retailers have the choice to keep a track of user web clicks in order to recognize and outline the customer behavioural trends. This in turn allows them to ideate better and enhance their existing marketing and promotional campaigns, pricing structure as well as the stockage. The utilities are able to track the levels of household energy usage and forecast the energy outages and also emphasize on effective consumption of energy. Even government bodies and brands like Google using Big Data management can track and spot the surfacing of disease outbreaks through the social media signs. Furthermore, leading oil and gas corporations can derive the result of sensors in drilling devices in order to arrive at secure and effective drilling decisions.

The Big Data Benefits

Therefore, some of the visible core benefits of Big Data across multiple industry verticals usually include:

Making use of important data in social media platforms like the preferences and product awareness of customers, product organizations and how the retail companies are planning production

Marketing agencies are efficiently utilizing the vital data that is stored in social networking sites like Facebook and constantly updating their know-how about their campaign responses, promotions as well as the advertising channels

Hospitals make use of big data concerning the previous medical history of chosen patients in order to offer fast and improved service

Read More: http://www.smartdatacollective.com/node/365113

Is self-driving technology becoming commoditized?

NEW YORK (Bloomberg) -- George Hotz’s claim that he built a driverless car in his garage has created a debate on Wall Street about the future for automotive technology suppliers such as Mobileye.

The 26-year-old hacker boasted in a Bloomberg Businessweek article that he developed a cheaper alternative to Mobileye technology used by Tesla Motors Inc. and that Elon Musk offered him a “multimillion-dollar bonus with a longer time horizon that pays out as soon as we discontinue Mobileye.” The revelation sent the stock down 7.2 percent that day and wiping out this year’s gains.

While Hotz’s exploits certainly highlight that the computing know-how for autonomous driving is becoming cheaper and more accessible, that doesn’t mean Mobileye’s business model is in trouble, according to research firm Gartner Inc. Mobileye has also locked in contracts with nearly all the top automakers from General Motors to Ford Motor Co.

Hotz’s achievement “demystifies the blackbox surrounding these technologies, and it will continue to increase the commoditization of the components,” Thilo Koslowski, vice president and automotive practice leader at Gartner, said by phone. “The magic still exists in putting it all together and doing it reliably.”

Mobileye’s edge 

That involves having the financial firepower to deal with insurance liabilities, regulatory hurdles, the threat of cyber attacks on connected cars and the absolute perfection of the automated driver-assistance system, he added.

Musk said as much in a tweeted rebuttal to Hotz’s claim: “Getting a machine learning system to be 99% correct is relatively easy, but getting it to be 99.9999% correct, which is where it ultimately needs to be, is vastly more difficult.”

Mobileye co-founder and Chief Technology Officer Amnon Shashua, a computer science professor at the Hebrew University of Jerusalem, called Hotz’s claims “nonsense,” arguing that any student of his could achieve the same in six months.

Read More: https://www.autonews.com/article/20151220/OEM06/151229999/is-self-driving-technology-becoming-commoditized?