After noticing a pattern of multidisciplinary teams struggling to develop solid analytic, machine learning (ML), and artificial intelligence requirements (AI), I spearheaded a scalable mental model that transformed the way IBM teams tackle requirements.
Our Challenge
1-To understand the current client data insights needs without getting caught in multidisciplinary silos.
2-To create a repeatable process to rapidly design, vet, and prioritize analytic, ML, and AI requirements.
This patent-pending process is one part of setting your team up for designing successful analytic experiences.
As a UX leader, you must also understand how to connect different skillsets on your team with the end-user of the product and the data scientists that create the insights.
Learn how this patent-pending process has transformed how IBM teams develop requirements for model-driven experiences.
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