Remove 2001 Remove 2018 Remove Modeling Remove Reporting
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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The company has been on a continuous journey to adapt its internal and external processes to new business needs and opportunities since 2001.” Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis.

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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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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. Developers integrate Profile with WIN using APIs. .

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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

So this month let’s explore these themes: 2018 represented a flashpoint for DG fails, prompting headlines worldwide and resulting in much-renewed interest in the field. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Cynical Perspectives.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. In particular, note “Exhibit 6:”.

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Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. 2018 – Global reckoning about data governance, aka “Oops! We did it again.”.