Will 2021 Be The Year That AI Finally Scales?

The gap between the promise of Artificial Intelligence (AI) and its implementation in practice has never been greater than it was in 2020. There were clearly some major milestone AI achievements last year. Take Google DeepMind's AlphaFold, which was shown to accurately predict 3D models of protein structures, paving the way for groundbreaking research across every field of biology. Or in June, when a beta version of GTP3 was publicly released by Microsoft - an incredibly sophisticated model capable of almost any language task, including writing in the style of Chaucer, and even basic coding. Yet outside of these tech giants, AI adoption remains in exploratory stages for the vast majority of enterprises and a long way off becoming an integral part of day to day business. At this point in the AI adoption cycle, many enterprises hold an untenable position as long as they fail to appreciate the enormous potential for embedding machine learning into their products and business processes.