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What is a phishing simulation?

IBM Big Data Hub

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7

Testing 74
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250
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The Janusian Faces of Generative AI and its Role in Enhancing and Endangering Cybersecurity

Jen Stirrup

This post aims to delve into the dichotomous nature of generative AI, shedding light on its potential to bolster our security measures and serve as a tool for unprecedented cyberattacks. Organisations do not always back up and test restoration of databases efficiently. Generative AI: A Phenomenon - Why now? between 2022 and 2027.

IT 68
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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics can help you improve operational efficiency, better understand your customers, project future outcomes, glean insights to aid in decision-making, measure performance, drive growth, discover hidden trends, generate leads, and scale your business in the right direction, according to digital skills training company Simplilearn.

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4 ways higher ed can close the tech industry’s gender gap

CIO Business Intelligence

We do not need to boost young women’s math tests scores or confidence in their math ability as much as we need to entice more women to plan to enter science-related occupations,” the study’s authors wrote.

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MNIST Expanded: 50,000 New Samples Added

Domino Data Lab

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83
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Allstate’s cloud-first approach to digital transformation pays off

CIO Business Intelligence

Nearly 40% of the company’s business processes have now been digitized, and filing claim time — a key measure of customer satisfaction — has been reduced from four minutes to 43 seconds, according to the company. Getting a fast focus on that experience was extremely helpful in making the experience the best we possibly could.”