Project Management

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How can we use AI to solve Volatile, Uncertain, Ambiguous and Complex (VUCA) problems?

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Akintunde Dare Nigeria
As Project Managers, I feel it's an opportunity for us to be more impactful and highly noticed in the AI race. One major way to do this is for us to look in the direction of how we can use AI to solve VUCA problems in a short time. This will make us very relevant and impactful globally
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Sergio Luis Conte Helping to create solutions for everyone| Worldwide based Organizations Buenos Aires, Argentina
AI is a board term. In the last time generative AI becomes popular, no matter it exists from long time ago. Generative AI (ChatGPT and others) can help you in this matter because the foundational models contains lot of information that can be used to make predictions or to give you information to your predictive models. The most information you have the better to mitigate things like uncertainty and amibguiity.
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Kiron Bondale Retired | Mentor| Retired Welland, Ontario, Canada
Akintunde -

If a problem is truly VUCA, given that there would be little contextual relevant data which an AI model would have been trained on, you are likely to get the same level of accuracy in its guesses as you would with a diverse group of experts.

What AI might help with is to act as a second opinion once a particular plan of attack has been determined to sanity check it for the impact of any biases the team has.

Kiron
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VerĂ³nica Elizabeth Pozo Ruiz RYLAI Access Control Quito, Pichincha, Ecuador
The main power of AI to help manage VUCA environments is the capacity to analyze data. AI is capable of identifying patterns, by detecting dependencies among variables and establishing correlations. These capabilities let AI find different solution scenarios, anticipate or mitigate risks, and collaborate in decision-making.
It's important to emphasize that maintaining the data quality is primordial to guarantee the best results using AI. When working with large amounts of data, we can encounter many pitfalls, like inaccuracies, incoherency, and duplicated or outdated data. It's appropriate to use Data Quality Management Software to identify and correct these issues, and also monitor and synchronize data across the company, keeping database quality perfect.
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Thomas Walenta Global Project Economy Expert Hackenheim, Germany
Akintunde
good question, connecting two buzzwords (no irony here).

VUCA is a perception, not reality. Others might see the same problem as simple, certain and well-understood, if they have other knowledge than you.

So, AI has access to more information than any human and probably can enlighten the problem a bit.

Kiron mentions the context of the problem so that AI might have access to different situations (contexts) in which your problem occurs.
And - as Ansoff said - it is better to dissolve a problem (change its context to make it vanish) than to solve it.

Use AI to extend your perceptions.

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