Remove 2016 Remove Reporting Remove Risk Remove Statistics
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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.

Risk 111
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Cyber Fraud Statistics & Preventions to Prevent Data Breaches in 2021

Smart Data Collective

The risk of data breaches will not decrease in 2021. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021.

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Artificial Intelligence: Implications On Marketing, Analytics, And You

Occam's Razor

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. trillion pictures in 2016. One key thing that stymied my efforts, and likely your ML efforts, in 2016 was Identity.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. A modern BI platform supports IT-enabled analytic content development. What Happened to Tradition BI?

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

What are the projected risks for companies that fall behind for internal training in data science? Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Another recent report by McKinsey Global Institute correlates closely with the WEF analysis. In business terms, why does this matter ?

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AI takes aim at employee turnover

CIO Business Intelligence

KPMG, for example, built its first interactive chatbot in 2016. KPMG calculates a score for an employee’s risk of attrition, tries to identify a reason for that, and then suggests a remediation. According to Genpact, 66% of their employees used the Amber chatbot in 2021, and of those who did, 84% reported a positive mood.

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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. And we can keep repeating this approach, relying on intuition and luck.