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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs. This allowed us to derive insights more easily.”

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What is Model Risk and Why Does it Matter?

DataRobot Blog

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. A purposeful MLOps strategy can provide exactly this.

Risk 111
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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. One of the best solutions for data protection is advanced automated penetration testing. By 2012, there was a marginal increase, then the numbers rose steeply in 2014.

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Bringing the National Museum of African American History and Culture to the world

CIO Business Intelligence

Many of these technologies are time-tested frameworks and tools that don’t get a lot of publicity but are known platforms that have evolved and aged well. We wanted a digital platform that would bring the museum to other people in the world.”

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Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. In the Art of War, one strategy is to decide when to expend your energy and when to conserve energy.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. It is also a sound strategy when experimenting with several parameters at the same time. And sometimes even if it is not[1].)

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AI takes aim at employee turnover

CIO Business Intelligence

KPMG, for example, built its first interactive chatbot in 2016. With back-testing and cross-validation, we found that we’ve consistently been able to predict two-thirds of people about to resign, and save 10% to 20% of the ones we identified,” he says. It saw some limited adoption at first, but interest waned quickly.