Four Weekly Tech Newsletter – August 15

A round up of the latest tech stories, curated for you weekly, by Four.

Lead articles from August 15

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The 3 biggest mistakes the board can make around cyber security

The protection of the business from cyber threats is something you need to grow, not something you can buy. The role of the Board in relation to cyber security is a topic we have visited several times since 2015, first in the wake of the TalkTalk data breach in the UK, then in 2019 following the WannaCry and NotPeyta outbreaks and data breaches at BA, Marriott and Equifax amongst others.

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How to evangelize AI in your organization

Organizations seeing the most benefits from AI work are more likely to be true believers in cognitive capabilities. Indeed, AI high performers, as identified by McKinsey, invested more of their digital budgets in AI than their counterparts, were more likely to increase their AI investments in the next three years, and employ more AI-related talent, such as data engineers, data architects, and translators, than their counterparts.

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Artificial Intelligence unlocks extreme weather mysteries

From lake-draining drought in California to bridge-breaking floods in China, extreme weather is wreaking havoc. Preparing for weather extremes in a changing climate remains a challenge, however, because their causes are complex and their response to global warming is often not well understood. Now, Stanford researchers have developed a machine learning tool to identify conditions for extreme precipitation events in the Midwest, which account for over half of all major U.S. flood disasters.

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AI adoption is driving cloud growth

A new study published in PLOS One has found a relationship between a person’s body shape and their family income. The findings provide more evidence for the “beauty premium” — a phenomenon in which people who are physically attractive tend to earn more than their less attractive counterparts. Researchers have consistently found evidence for the beauty premium. But Suyong Song, an associate professor at The University of Iowa observed that the measurements used to gauge physical appearance suffered some important limitations.