Florian is the VP, Product Management, Value Stream Intelligence & Platform at Digital.ai.
From governance and regulation to a move toward automation, 2022 is set to see innovations and changes in the AI market.
Organizations should also consider risk as part of an automation project. Evaluating risks can include ensuring that enough testing was done or that employees followed company policy during a project. With analytics technology having reached a mature phase, it's markedly easier now for business analysts and developers to collect data from different places and build their own machine learning models. That trend will continue in the next year. The kind of data analysis is moving out of that realm of BI and ETL into your everyday application. Your typical business analyst is now able to access data much more easily than they were in the past.