No matter what industry you work in, chances are the applications your business uses are generating vast quantities of data that are increasing exponentially. The confluence of technologies that generate enormous amounts of data, store it, and analyze it in a timely manner affords businesses an unprecedented opportunity to put that data to work. Big data, when processed with predictive analytics algorithms, lets you find new patterns in data, and make increasingly accurate predictions about future business trends and opportunities. It's also playing a role in the software development life cycle, according to the 2015 World Quality Report survey.
The role of predictive analytics has become such a disruptive force in business that the Harvard Business Review recently suggested that data scientists might have the sexiest jobs of the 21st century.
Who are the people leading the charge? To help you keep up with the current trends and opportunities in data science and predictive analytics, we pulled together this list of influential data scientists worth following. Here, in alphabetical order, are 10 data scientists you should be following.
1. Dean Abbott
Dean Abbott is co-founder and chief data scientist at SmarterHQ, and founder and president of Abbott Analytics. He is a co-author of the IBM SPSS Modeler Cookbook, and the author of Applied Predictive Analytics: Principles and Techniques for the Professional Data Analyst. Follow his blog at http://abbottanalytics.blogspot.com.
2. Kenneth Cukier
Kenneth Cukier is the data editor for The Economist. He's a co-author of the book Big Data: A Revolution That Will Transform How We Live, Work, and Think, and is a popular speaker. Watch him gave a fascinating TED talk on "Big data is better data."
3. John Elder
John Elder is the founder of data mining consultancy Elder Research, Inc. He is a frequent keynote speaker, and served for five years on a presidential panel tasked with guiding technology for national security. He is the author of several books, including the Handbook of Statistical Analysis and Data Mining Applications, Ensemble Methods in Data Mining, and Practical Text Mining, and is an adjunct professor at the University of Virginia, where he teaches the optimization of data mining. You can watch many of his presentations on YouTube.
4. Bernard Marr
Bernard Marr, founder and CEO of the Advanced Performance Institute, regularly advises businesses and government organizations on how to gain better insights from their data. He is a contributor to the World Economic Forum, and is recognized by LinkedIn as one of the world's top 50 business influencers. He is a sought-after keynote speaker, and is the author of many articles and books, including Big Data: Using SMART Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance.
5. Hilary Mason
Hilary Mason, founder of Fast Forward Labs, has also served as chief scientist at Bitly, Inc., co-founded HackNY, and is a member of NYCResistor. Mason was cited by Fortune in its 40 Under 40 list, and is a popular influencer on LinkedIn, where she has a large following. She enjoys speaking, and you can find many of her presentations on YouTube.
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