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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

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Data center provider fakes Tier 4 data center certificate to bag $11M SEC deal

CIO Business Intelligence

According to the indictment, Jain’s firm provided fraudulent certification documents during contract negotiations in 2011, claiming that their Beltsville, Maryland, data center met Tier 4 standards, which require 99.995% uptime and advanced resilience features.

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Running Code and Failing Models

DataRobot

Their code attempted to create a validation test set based on a prediction point of November 1, 2011. The performance of the model is then analyzed on a test set, which is located after the prediction point. The following figure shows the Python code and how it led to data after November 2011. Do you see it?

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The mainframe is dying: Long live the mainframe application!

CIO Business Intelligence

years, a record it shares with the z114, launched in September 2011 and destined to be supported through December 2022. Wazi is a suite of tools IBM introduced back in 2020 with which developers can write z/OS applications and then test them in a z/OS sandbox on their own x86 hardware. years after its launch in June 2006.

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Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

The President of Iceland Olafur Ragnar Grimsson explained this phenomenon to me when I had the privilege to interview him in 2011 (Gartner Report: G00212784 ). “So He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

Your Chance: Want to test an agile business intelligence solution? The term “agile” was originally conceived in 2011 as a software development methodology. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. Finalize testing.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

In 2011, the Federal Reserve Board (FRB) and the Office of Comptroller of the Currency (OCC) issued a joint regulation specifically targeting Model Risk Management (respectively, SR 11-7 and OCC Bulletin 2011-12 ). This governance includes tracking the status of each model on an inventory across the entire enterprise.

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