A Quote by Subhash Chandra
In the media business, the lines are getting blurred between telecom, voice, data, and video, as all are merging into one single pipe. New players have come in, with Jio being a big example.
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This years keynote session is a clear reminder that wireless data technology is expanding its reach beyond that of an alternative to wireline telephony. We have gathered an exclusive group of business leaders to share how wireless is being integrated into their companys business strategies and what it means for their bottom lines. The presence of these telecom, media and entertainment giants on our center stage is a great indicator of the impact wireless data has made on countless industries.
Computer and video games represent one of the most important new media developments of this generation. Unlike many other forms of entertainment they offer players the opportunity to explore, be creative, learn through interaction and express themselves to others. It is vitally important that we protect and nurture this new art form so that it can reach its full potential. Like most new forms of artistic expression that have come before (music, novels, movies), the primary critics of video games are the people that do not play them.
There are big lines between those who play video games and those who do not. For those who don't, video games are irrelevant. They think all video games must be too difficult.
The window was open for us to play in the consumer as data, voice, video came together. This is where you have to have the courage to take good business risks because if you don't, you never win.
France has a specificity - the market players who provide Internet access are the telecom operators, and all of the players are French. They had a habit of, let's say, getting along with each other, and the prices traditionally were very high.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
The lines have definitely blurred between country and pop music.
For a long time, the film business was a single-digit business on investment return. Now, because of home video, it's a low double-digit business, and the studios want to make sure it doesn't go back into the single-digit business.
Globalization is exposing new fault lines - between urban and rural communities, for example.
Holy Ghost! wears its influences proudly: Look no further than the duo's video for 'I Will Come Back,' a shot-for-shot remake of the music video for New Order's 1983 single, 'Confusion.'
As the number of things connected to the global network increases - from data, voice, video, and smart devices to new breeds of applications - the opportunities to realize much greater value from networked connections also increase exponentially.
When new artists come out and they're not being cosigned or some company doesn't have a stake in it, or someone's not getting paid under the table to produce the whole record or bring it to video, the artist really suffers.
As a matter of fact, when compression technology came along, we thought the future in 1996 was about voice. We got it wrong. It is about voice, video, and data, and that is what we have today on these cell phones.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
The promoters of big data would like us to believe that behind the lines of code and vast databases lie objective and universal insights into patterns of human behavior, be it consumer spending, criminal or terrorist acts, healthy habits, or employee productivity. But many big-data evangelists avoid taking a hard look at the weaknesses.
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
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