In the field of analytics today, this means a number of exciting but challenging developments:
Organizations continue to push the envelope in analytics. Data literacy is being embraced by organizations that realize they need to rectify stagnant adoption rates for self-service. Augmented intelligence and AI technologies are making their way into many applications and products. Operationalizing machine learning models (i.e., the last mile in production) is more important than ever, and it often requires new roles such as ModelOps/DevOps. Explainable AI and data ethics are moving to the forefront, and data platforms continue to evolve to support advanced analytics.