  Building on a strong foundation of philosophy, theory, methods and
computation over the past three decades, Bayesian approaches are now an
integral part of the toolkit for most statisticians and data scientists.
Whether they are dedicated Bayesians or opportunistic users, applied
professionals can now reap many of the benefits afforded by the Bayesian
paradigm. In this paper, we touch on six modern opportunities and challenges in
applied Bayesian statistics: intelligent data collection, new data sources,
federated analysis, inference for implicit models, model transfer and
purposeful software products.
