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Automation Is the New Reality for Big Data Initiatives

Automation Is the New Reality for Big Data Initiatives | IT |
The preeminence of data science was inextricably linked to the emergence of big data. Combining business savvy, analytics, and data curation, this discipline was hailed as an enterprise-wide savior for the rapidity of the disparate forms of big data that threatened to overwhelm it.

Numerous developments within the past several months, however, have created a different reality for big data and its future. Its technologies were refined. The self-service movement within the data sphere thrived. The result? Big data came to occupy the central place in the data landscape as critical elements of data science – preparation, analytics, and integration – became automated.

Thanks to the self-service movement’s proliferation, even the smallest of organizations can now access big data’s advantages. “There’s been a lot of discussion about self-service…and having data analysts get at the data directly,” MapR Chief Marketing Officer Jack Norris said. “But you also have to recognize, what do you mean by ‘the data,’ and what has to happen to ‘the data’ before that self-service takes place?”

Via Ashish Umre
Bian Wu's insight:

so it's actually about self-service ...

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Rescooped by Bian Wu from 21st Century Learning and Teaching!

How to Delete Yourself from the Internet [Infographic]

How to Delete Yourself from the Internet [Infographic] | IT |
Ready to erase your tracks and disappear online, once and for all? This infographic from Who Is Hosting This reveals the nine steps you need to take to remove your personal information collected all over the web.

Via Gust MEES
Gust MEES's curator insight, March 7, 2014 11:21 AM

Very interesting...

Marc Kneepkens's curator insight, March 8, 2014 8:25 AM

It's amazing how much information is out there about you. Have you ever Googled yourself?

There may be many reasons for 'deleting' your online presence, or parts of it. This is good information.

Vilma Galstaun's curator insight, March 13, 2014 6:50 PM

Some sites to be aware of where you have an online presence.

Rescooped by Bian Wu from Amazing Science!

Will computers ever truly understand what humans are saying?

Will computers ever truly understand what humans are saying? | IT |

If you think computers are quickly approaching true human communication, think again. Computers like Siri often get confused because they judge meaning by looking at a word's statistical regularity. This is unlike humans, for whom context is more important than the word or signal, according to a researcher who invented a communication game allowing only nonverbal cues, and used it to pinpoint regions of the brain where mutual understanding takes place.


From Apple's Siri to Honda's robot Asimo, machines seem to be getting better and better at communicating with humans.

But some neuroscientists caution that today's computers will never truly understand what we're saying because they do not take into account the context of a conversation the way people do.

Specifically, say University of California, Berkeley, postdoctoral fellow Arjen Stolk and his Dutch colleagues, machines don't develop a shared understanding of the people, place and situation -- often including a long social history -- that is key to human communication. Without such common ground, a computer cannot help but be confused.

"People tend to think of communication as an exchange of linguistic signs or gestures, forgetting that much of communication is about the social context, about who you are communicating with," Stolk said.

The word "bank," for example, would be interpreted one way if you're holding a credit card but a different way if you're holding a fishing pole. Without context, making a "V" with two fingers could mean victory, the number two, or "these are the two fingers I broke."

"All these subtleties are quite crucial to understanding one another," Stolk said, perhaps more so than the words and signals that computers and many neuroscientists focus on as the key to communication. "In fact, we can understand one another without language, without words and signs that already have a shared meaning."

Babies and parents, not to mention strangers lacking a common language, communicate effectively all the time, based solely on gestures and a shared context they build up over even a short time.

Stolk argues that scientists and engineers should focus more on the contextual aspects of mutual understanding, basing his argument on experimental evidence from brain scans that humans achieve nonverbal mutual understanding using unique computational and neural mechanisms. Some of the studies Stolk has conducted suggest that a breakdown in mutual understanding is behind social disorders such as autism.

"This shift in understanding how people communicate without any need for language provides a new theoretical and empirical foundation for understanding normal social communication, and provides a new window into understanding and treating disorders of social communication in neurological and neurodevelopmental disorders," said Dr. Robert Knight, a UC Berkeley professor of psychology in the campus's Helen Wills Neuroscience Institute and a professor of neurology and neurosurgery at UCSF.

Stolk and his colleagues discuss the importance of conceptual alignment for mutual understanding in an opinion piece appearing Jan. 11 in the journal Trends in Cognitive Sciences.

Via Dr. Stefan Gruenwald
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