Workbook training: Growth and resilience, part 3
Unbundling AI: Building a sustainable data-driven organization | Workbook training, part 3/5
Hello,
This part of the training relates to part 3 of the workbook: "Growth and resilience." You can read it here.
▸ Why this training and how it was conceived
The growth and resilience that founders, entrepreneurs, and business leaders need to develop leads to unleashing more innovations. This will manifest in a new generation of AI-native products and platforms that grow better and are more resilient than ever before.
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.
In part 2 of the training, “Perspectives for defensibility,” we focused 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:
▸ How to find the right direction and get perspectives for defensibility
▸ The sharper your differentiation, the greater your advantage
▸ Your next project assessment: build once, run many times
In part 3 of the training, “Growth and resilience” we want to emphasize the need for robustness, the right goal setting, and making the leap, particularly during uncertain times.
It requires a deeper understanding of data both potentials and risks, and how to apply what we know through a comprehensible framework for resilient value-capture innovation and sustainable growth.
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 3 “Growth and resilience”
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