Big Data in 2016: Cloudy, with a chance of disappointment, disillusionment, and disruption — from insidebigdata.com by Daniel Gutierrez

Excerpt:

Expect to see many organizations become deeply disillusioned by Big Data in 2016 because they had hoped to get different results from their business, without using Big Data to actually change how they operated. Those who used Big Data to make substantive changes to how they operate will dramatically out-compete those who used Big Data to produce merely-more-detailed reports, but little actual change.

 

 

 

Young entrepreneurs are applying the power of big data to the real world — from entrepreneur.com by John Pilmer

Excerpt:

Two 15-year-old students from Business Technology Early College High School (BTECH) in Queens, New York dazzled me with big-picture thinking about the social implications of harnessing big data while protecting our future. The teens shared very entrepreneurial thoughts of how to deliver genomic big data solutions without diminishing individual self-worth.

One young man used the example of applying genomic big data to people to create a “Superman” in the future. Yet, he noted that if everyone were Superman, no one would be.  In other words, no one would be unique, stand out from the crowd. Wow! That’s big picture thinking that reminds me of a science fiction novel.

 

 

 

The data science industry: a look at the key roles — from dataconomy.com by Darya Niknamian

Here is the infographic from that article:

 

 

The art of data science: The skills you need and how to get them — from kdnuggets.com by Joseph Blue
Learn, how to turn the deluge of data into the gold by algorithms, feature engineering, reasoning out business value and ultimately building a data driven organization.

 

 

 

The 22 skills of a Data Scientist…  — from dataconomy.com by Matt Reaney

 

 

 

From DSC:
The items above made me think of trying to excerpt meaning from big data…which made me think of programming…which lead me to think of algorithms…which lead me to think of artificial intelligence (AI).  Then, when I was thinking about AI, I wondered…

  • How might AI and algorithms play into the future of MOOCs — especially in regards to providing automated assessments, scoring, and grading…?

Hmmm….could be helpful…though knowledgeable experts/humans will likely still be needed. But such technologies could help with some of the heavy (and often time-consuming) lifting here.