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Top Cloud Data Security Statistics for 2023

Laminar Security

This widespread cloud transformation set the stage for great innovation and growth, but it has also significantly increased the associated risks and complexity of data security, especially the protection of sensitive data. A 2022 ISC report highlighted a cybersecurity workforce gap of 3.4 million jobs , a 26.2% That cost rose to $9.44

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Why Nonprofits Shouldn’t Use Statistics

Depict Data Studio

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! But then we realized that much of the time, statistics just don’t have much of a role in nonprofit work. Why Nonprofits Shouldn’t Use Statistics.

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Managing risk in machine learning

O'Reilly on Data

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Continue reading Managing risk in machine learning. Real modeling begins once in production.

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How to build a successful risk mitigation strategy

IBM Big Data Hub

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

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Put Your Data to Work: The Complete Playbook

From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

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6 revealing statistics about career challenges Black IT pros face

CIO Business Intelligence

Because of this, according to a report from Russel Reynolds Associates and Valence , 47% of Black technology professionals “strongly agree” that they must switch between companies more regularly for career growth, whereas only 28% of non-Black respondents said the same. years on average.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.

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