Everybody talks about the weather—and now businesses can turn that talk into insight. A recent hackathon highlighted ways data scientists can create smart data applications for meteorological forecasting and address the weather data analytics needs of a range of organizations.
Demand for data scientists is growing. Strong analytical skills and the ability to tap into the expertise of the larger analytical community helps new and seasoned data scientists keep up with new trends and continue to hone their skill sets.
Big Data & Analytics Heroes
Farouk FerchichiChief Data Officer & Head of Business Intelligence at Toyota Financial Services
Farouk Ferchichi, chief data officer and head of business intelligence at Toyota Financial Service, and this week’s Big Data & Analytics Hero, shares insight into Toyota's journey to improve their customer experience by leveraging data and analytics.
Mark van Rijmenam, founder of Datafloq and this week’s Big Data and Analytics Hero, declares that “developing a big data strategy requires the organization to have a good understanding of what big data is, what it entails and what the different possibilities are.”
Applying big data technology to answer business questions is critical for organizations. Dr. Michael Kowolenko, Principal Research Scholar at North Carolina State University and this week’s Big Data Hero shares how big data helps businesses make better decisions and gain insight.
“As you dig deeper into unstructured data where feelings, emotions and other often messy information reside, you have to embrace qualitative metrics which don’t fit neatly into traditional quantitative analysis,” says David M. Lawson, co-founder & CEO of NewSci, LLC and this week’s Big Data
Data science by itself is an ineffectual civic-governance tool if it lacks strong champions who can wield it to get things done in the legislative, executive and judicial branches. Big data analytics can influence public policy if it helps frame a compelling case in the minds of decision makers for
I'm impressed with initiatives in the U.S. data scientist community to volunteer their time to worthy causes at home and abroad. Clearly, most of the data scientists who participate in communities such as New York-based DataKind have day jobs to pay the bills. But they see larger humanitarian
Data scientists, like anybody else, tend to gravitate to where the jobs are, especially those that fetch higher salaries, offer the resources needed to achieve their dreams and promise more rewarding career paths. For that reason, larger employers with well-established, amply funded big data
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional
Today only a small percentage of the C-suite leadership are strong advocates for the use of analytics to speed decision making and institute change (24 percent). We explore how leading organizations are leveraging executive sponsorship to developing a data driven culture, corporate-wide decision-
Sean Murphy, senior scientist, Johns Hopkins University Applied Physics Laboratory, is this week's Big Data & Analytics Hero. This recognition program was created by IBM to acknowledge and highlight big data and analytics industry thought leaders.
How have big data and analytics impacted how
"Nothing is as practical as a really good theory." That's what one of my college professors once told us, and I've always believed it.
Newton, Einstein and the other giants of science didn't have big data. But they had big thoughts—and just enough samples of the right kinds of data—to show that