Daniel Gutierrez

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About Me

Daniel D. Gutierrez is a data scientist with Los Angeles-based AMULET Analytics and Managing Editor, insideBIGDATA. He’s been involved with data science and Big Data long before the fields came in vogue, so imagine his delight when the Harvard Business Review deemed “data scientist” as the sexiest profession for the 21st century! As a Big Data journalist, he enjoys keeping a pulse on this fast-paced industry. He’s also an educator having taught data science, machine learning and R classes for UCLA, UC Irvine, and UC Davis. He’s authored four computer industry books on database and data science technology, including his most recent title, “Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R.” Daniel sits on a number of advisory boards to bring the benefits of data science to businesses.

Are AI/Machine Learning/Deep Learning in Your Company’s Future?

insideHPC Media LLC conducted insideBIGDATA AI/Deep Learning audience survey to get readers thoughts about how they see AI, machine learning, and deep learning. When asked about what industries will see the most impact from AI, machine learning, and deep learning, respondents indicated—16% healthcare, 13% finance/insurance, 11% transportation, 11% IT, 10% energy, 10% manufacturing, 10% academic research, 9% retail, 7% government, and others.

Top Skills Data Scientists Need To Learn in 2018

Data science jobs are among the most challenging to fill, taking five days longer to find qualified candidates than the market average. Employers are willing to pay premium salaries for professionals with expertise in these areas as well.  The most in-demand jobs in data science require advanced education, further driving up demand and salaries for professionals with these qualifications.

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