Workbook training: Perspectives for defensibility, part 2
Unbundling AI: Building a sustainable data-driven organization | Workbook training, part 2/5
Hello,
This part of the training relates to part 2 of the workbook: "Perspectives for defensibility." You can read it here.
▸ Why this training and how it was conceived
Many attempts at project execution fail. To change that, organizations need to understand how to conceive an AI system and create the space to visualize the value that will then plant the pillars of defensibility needed to grow and scale.
In part 1 of the training, “Introduction to the data transformation era,” we saw how to apply that understanding to key decisions about AI-driven business models:
▸ Planting the seeds of an AI system
▸ Uncover your organization's ethos
In part 2 of the training, “Perspectives for defensibility,” we will focus on data-based decision management and weighing up immediate and expected future outcomes that may be conflictive.
It requires interpretability, identifying the key elements we need to make the right decision, and immediacy of the data-driven decision processes.
A reminder
The priority for organizations to build next-generation systems falls into three areas:
improving data management,
enhancing data analytics and machine learning,
expanding the use of all types of enterprise data, including streaming and unstructured data.
🚨 You can get back to part 2 “Perspectives for defensibility”
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