AIOps implementation framework
In AI projects, success often depends not on algorithms, but on the data that feeds them. This article explores how to identify and fix data gaps in AI, using frameworks like AIDRIN and ODI AI-Ready Data to turn fragmented information into measurable business value.
Four Most Common Digital Transformation Pitfalls
Why do 70% of digital transformation initiatives fall short, as reported by Deloitte? Despite the recognition that digital advancements will …
How Enterprise Architecture (EA) can help to leverage IT on Digitized Platform(s)
Introduction In 2002, Amazon CEO Jeff Bezos circulated an important internal memo. In summary, it required every Amazon team to …
Role of CIO in business transformation
Introduction CIO’s role has become one of the most important catalysts of change within every company. With great responsibility for …
