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Predictive analytics tools can be particularly valuable during periods of economic uncertainty. Predictive Analytics Helps Traders Deal with Market Uncertainty. However, predictive analytics will probably be even more important as global uncertainty is higher than ever. Analytics Vidhya, Neptune.AI
This consolidation might prompt governments to reassess their strategies around technology self-sufficiency and diversification, potentially leading to stricter regulations and increased investment in domestic semiconductor capabilities to mitigate risks associated with geopolitical uncertainties.”
To mitigate the various risks and uncertainties in transitioning to the cloud, IT must adapt its traditional IT control processes to include the cloud. In today’s cloud-based world, IT does not always have full control over the provisioning, de-provisioning, and operations of infrastructure.
Whenever we face such uncertainty, we tend to look back at history to see if there’s a pattern we can use to help navigate. If you are an executive in business today, you are probably thinking back to the recession induced by the financial crisis of 2008 / 9 and the less severe one catalysed by the dot com crash and 9/11 circa 2002.
Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work.
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