2016 Risk Statistics Testing 
DataRobot Blog
APRIL 29, 2022
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. What is a model?
Smart Data Collective
SEPTEMBER 22, 2021
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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CIO Business Intelligence
JUNE 28, 2023
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.
Smart Data Collective
APRIL 13, 2021
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. They can use AI and data-driven cybersecurity technology to address these risks. One of the best solutions for data protection is advanced automated penetration testing.
The Unofficial Google Data Science Blog
APRIL 23, 2024
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.
CIO Business Intelligence
APRIL 7, 2022
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. More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work.
Domino Data Lab
AUGUST 8, 2019
Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. The probabilistic nature changes the risks and process required. They tend to use less machine learning, but more advanced statistical practices, since the outcomes (government policies, etc.)
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