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Reporting Requirements for Consolidated Financial Statements

Jet Global

After more than four decades with only minor revisions, the past 15 years have seen a rapid evolution in the reporting requirements for consolidated financial statements. Here, we’ll take a look at the current criteria for reporting your consolidated financial results. Evolution of Reporting Requirements. When to Consolidate.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

These scores go on student report cards, and are a frequent topic at parent-teacher conferences. In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm.

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Clean Harbors’ CIO: Hybrid approach to the cloud is a win-win

CIO Business Intelligence

“Our strategy in taking a hybrid approach has provided the agility we need to do advanced services in the cloud as we go through our digital transformation,” says Gabriel, who joined the company in 2001 and was promoted to executive vice president and CIO of Clean Harbors in 2018. The company’s 400 IT staff — located at its Norwell, Mass.,

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Four Factors to Consider when Migrating to Microsoft Business Central Online

Jet Global

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. On the way there, however, there is a great deal that business leaders can do to rein in costs, reduce risks, and increase the value that ultimately comes out of ERP system upgrades.

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AML: Past, Present and Future Part I

Cloudera

In 2015, it was reported that the former Malaysian Prime Minister funneled nearly 700 million dollars from 1MDB into his personal account. We also read about Michael Cohen’s alleged hush payments to a porn star, which was picked up by anti-money laundering controls and reported as suspicious to the US Treasury Department.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for There are models everywhere. In other words, #adulting.

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Data Science, Past & Future

Domino Data Lab

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries.