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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts. This meant that we could access and test all of the charts by simply cloning the corresponding Git repository and running the code for each chart.”. Run the queries and store the results for later analysis of tests.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

In 2017, additional regulation targeted much smaller financial institutions in the U.S. The FDIC’s action was announced through a Financial Institution Letter, FIL-22-2017. The new regulation greatly reduced the minimum threshold for compliance for banks from $50 billion to $1 billion in assets.

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Cloudera and NVIDIA Help IRS Fight Fraud, Safeguard Taxpayers

Cloudera

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

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

Jen Stirrup

For the leaders, the simplest option can simply be doing nothing, but let someone run around burning themselves out so that eventually it becomes a test of patience and stamina, rather than a test of what is right and wrong. To summarise, this blog gives a flavour for some of the issues as well as some action points.

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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. This blog post discusses such a comprehensive approach that is used at Youtube. Indeed, such an approach is tractable and often used.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. We offer two examples where this may be the case.

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What Are ChatGPT and Its Friends?

O'Reilly on Data

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests.

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