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Back in 2015 I wrote that “Python’s data science training wheels increasingly lead to the R language,” suggesting that the more serious companies get about data science, the more they’ll want the heft of R. Boy, that perspective hasn’t aged well.
In fact, as a recent Terence Shin analysis of more than 15,000 data scientist job postings suggests, Python adoption keeps growing even as the more specialist R language is in decline. This isn’t to suggest that data scientists will drop R anytime soon. More likely, we’ll continue to see both Python and R used for their respective strengths.
Domino Data Lab: New Survey Finds Model-Driven Culture Is Critical for Data Science Success
While companies continue to realize the importance of data science and its ability to positively impact revenue, scaling it across an organization continues to be a challenge. A new survey released today reveals a new leading factor to success creating a positive, model-driven business culture among employees. This insight is one of the findings from a survey of data and analytics professionals sponsored by Domino Data Lab, provider of the leading open enterprise data science management platform trusted by over 20% of the Fortune 100.
Conducted by DataIQ, the leading membership-based forum for connecting, educating and supporting the data and analytics community, the survey curated a research panel of influential data and analytics professionals across a wide range of industry sectors and company sizes in the UK. Seniority ranged from senior managers and heads of department to global dire
Data-driven 2021: Predictions for a new year in data, analytics and AI
A tumultuous 2020 has had many in the industry pondering what comes next, yielding almost 50 pages of predictions, from more than 30 companies, delivered to my inbox. Here s a roundup of many of the 2021 predictions, broken down into the topics that garnered the most conjecture.
December 31, 2020 14:00 GMT (06:00 PST) | Topic: Big Data Analytics
Towards the end of each year, I receive a slew of predictions, from data/analytics industry executives and luminaries, focused on the year ahead. This year, those predictions filled a 49-page-long document.
While I couldn t include all of them, I ve rounded up many of this year s prognostications, from over 30 companies, in this post. The roster includes numerous well-known data/analytics players, including