The nature of computing is changing. Driven by the solid state physics of CPU technology, industry is moving to multi-core systems with less memory, power, and memory bandwidth per core. The result is that the pleasantly parallel HEP event processing paradigm has to adjust to this new reality. New techniques such as machine learning and algorithms capable of exploiting vector processors, will be needed. Advances in instrumentation enabling fine-granularity high-precision measurements, have driven a data revolution. In this paper I will capture the needs, and where we are in addressing these data and compute challenges.