Highlights•Transformation of agribusiness is needed to progress on SDGs.•FinTech may
mitigate trade-offs in the transformation process.•Main challenges relate to underinvestment …

This paper aims to review, characterize and comparatively analyze selected organizations'
analytics maturity models. Eleven various organizations' analytics maturity models (AMMs) …

In the current scenario, data scientists are expected to make sense of vast stores of big data,
which are becoming increasingly complex and heterogeneous in nature. In the context of …

Despite considerable recent advances in big data analytics, there is substantial evidence
that many organizations have failed to incorporate them effectively in their own decision …

Rapid research progress in science and technology (S&T) and continuously shifting
workforce needs exert pressure on each other and on the educational and training systems …

Nolan and Temple Lang's Computing in the Statistics Curricula (2010) advocated for a shift
in statistical education to broadly include computing. In the time since, individuals with …

The current “AI Summer” is marked by scientific breakthroughs and economic successes in
the fields of research, development, and application of systems with artificial intelligence …

Environmental data are growing in complexity, size, and resolution. Addressing the types of
large, multidisciplinary problems faced by today's environmental scientists requires the …

AutoML systems can speed up routine data science work and make machine learning
available to those without expertise in statistics and computer science. These systems have …

An approach to reinvigorating economic competition that doesn't break up corporate giants,
but compels them to share their technology, data, and knowledge “Bessen is a master of …