convergence: models are data
models are perfectly observable -> no black boxes
complex (not easy to understand) but completely transparent (unless behind api)
data optimality: research questions, cost and performance, impact (applications)
metrology, measurements as the answer: we can observe -> we need to measure
impact implications in research and deploy:
answer what is optimal question
answer under what conditions questions
solve tracking atc
…d
data internet
logic/theory: map distributed insights onto the integrated data transformation lifecycle
data engines
insight/discipline integrator to answer what is questions