Moreover, running machine learning algorithms to “identify anomalies” or writing a weekly report about trends doesn’t necessarily make you digital. You are not digital if your data analysis results and AI algorithms are not used as part of an interactive user portal, or to drive real-time actions which save labor or resources.
Businesses must shift their focus from building an infrastructure and “data lakes,” to delivering digital applications and services faster. New services require continuous data analytics, AI and agile development methodologies (AKA micro-services and serverless).
Cloud is Not a Place
Remember, cloud is not a place. It’s a model for consuming pre-integrated “cloud-native” services such as scale-out databases and analytics tools, identity management, service routing, AI, etc., all accessed through simple APIs. The cloud model lets us focus on business applications instead of on infrastructure.
A cloud experience with continuous data and analytics services, AI, and serverless, can be delivered close to your data sources at the edge, on-premises or in a data center and doesn’t have to be in the public cloud.