By Claire Gilbert, Data Analyst, O2 Integrated
It’s fair to say that for those who run in business intelligence circles, many admire the work of Fast Forward Labs CEO and Founder Hilary Mason. Perhaps what resonates most with her fans is the moniker she places on data scientists as being ‘awesome nerds’—those who embody the perfect skillsets of math and stats, coding, and communication.
By: Sarah Tarraf, Director, Analytics
The stereotypical image of a data scientist is that of the harried analyst, hacking away late into the night in an unrestrained startup environment, tapping into massive amounts of data to uncover interesting relationships that explain once-unexplainable phenomena. What we tend to ignore is the more common scenario—a data scientist working in an established corporate environment with a limited technology budget and an incomplete infrastructure.
By Troy Burmeister & Claire Gilbert, Data Analysts
From software development to social networking, open source software powers big companies. Surprisingly, the people behind it don’t necessarily sit within the walls of Facebook, Google or Microsoft. They reside in thriving communities of active online users’ intent on fueling advances in data science, big data, and analytics.
by Jason Solack, Vice President, O2 Integrated
Organizations large and small have an abundance of data at their disposal and have access to even more. The differences, however, in large part are often due to corporate governance. In fact, an increasingly growing component of this is data governance. And, when it comes to permission and utilization of data, this is certainly a case where size matters—organizational size and capacity, that is.
by Jason Solack, Senior Director, O2 Integrated
Ask the question: “Can machines think for us?” And the answer, of course, is yes. Ask it another way: “Can machines do what humans can do?” And, the answer becomes filled with caveats and conjecture.
As a recognized scientific discipline since 1959, machine learning explores the construction and study of algorithms that can learn from data.
by Nick Wright & Sarah Tarraf, O2 Integrated Analysts
It was Aristotle who said: “A friend to all is a friend to none.” If that is the case, then Big Data has few friends, if any, with its attempt to befriend us all.
Big Data is the Holy Grail of analysis to statisticians; it is the promise of smarter, faster decisions to the business executive; and it is a good source of job security with the seemingly never ending need for extracting, transforming, and loading more data to the IT professional,.
Speaker Spotlight: Greg HeistI recently sat down with The Future of Consumer Intelligence 2014 keynote speaker Greg Heist, Vice President, Strategy & Innovation, Gongos Inc., who discussed how the role of “the researcher” has changed as well as how the increasingly connected customer has affected market research, among much more.
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