Author Archives: GilPress
Domain Expertise vs. Machine Learning: The Debate Continues
By starting to rank all the data scientists participating in its competitions, Kaggle today advanced further its argument that data science is a generic set of skills that can be applied to any problem without prior domain expertise. Talking to … Continue reading
Data Science: Ranking Online Influencers
Data science is the defining specialty of the business of big data and an emerging career path for those who love to find new insights in the gazillion bytes of data created each day. It’s where you find fierce competition … Continue reading
Big Data Bytes: Data Scientists Wanted
“Businesses now looking for talent with deep analytical and statistical backgrounds include big publishers, portals, ad networks, and e-commerce sites – just about any company that possesses massive amounts of data. Salaries range from $75,000 to $100,000 for someone starting … Continue reading
3 Scenarios for the Future of Data Science
The last couple of weeks were great for the future of data science. First Wikibon, and then IDC, promised a big data market in 2015 of between $16.9 billion (IDC) to $32.1 billion (Wikibon) (more on these reports in Chuck … Continue reading
Big Data Startups News
Wikibon’s Jeff Kelly bravely put a stake in the ground recently, first among IT market observers, by estimating the big data market at $5 billion, growing to $50 billion in five years. Kelly’s 5/50/5 plan is a great guide to … Continue reading
Data Scientist: 6 Definitions
From Simon Rogers, “What is a Data Scientist?”: “Someone who can bridge the raw data and the analysis – and make it accessible. It’s a democratising role; by bringing the data to the people, you make the world just a … Continue reading
Management Education in the Age of Big Data
What if business schools based their entire curriculum on the fundamentals of business analytics? McKinsey estimates that the demand for “deep analytical positions” in the U.S. will exceed supply by 140,000 to 190,000 positions and that there will be a need … Continue reading
Big Data Bytes: “Information technology has entered a big-data era”
“From social media to medical revolutions anchored in metadata analyses, wherein astronomical feats of data crunching enable heretofore unimaginable services and businesses, we are on the cusp of unimaginable new markets.”–Mark Mills and Julio Ottino, “The Coming Tech-Led Boom,” The … Continue reading
What’s a Data Scientist? One More Definition
Shawn Hessinger at AllAnalytics.com summarizes yesterday’s e-chat with Gartner’s Doug Laney on what data scientists do and who they are. Gartner’s definition of a data scientist: Responsible for mining, modeling, interpreting, blending, and extracting information from large datasets and then … Continue reading
Big Data Bytes: More on What’s a Data Scientist?
Chuck Hollis calls Data Scientists “rock stars” and argues that they are “a fundamentally different profession with a different profile than the BI analysts that came before [them]. They’re more likely to have advanced degrees, frequently have a background in … Continue reading