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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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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. By 2011, the company had 20 full-time photographers on staff. Online, offline or nonline. Yet this structure rarely exists in companies.

Metrics 157
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4 key roles that define transformational IT leaders today

CIO Business Intelligence

A majority (77%) of CIOs say their role has been elevated due to the state of the economy and they expect this visibility within the organization to continue, according to Foundry’s 22nd annual State of the CIO report. The vice president of IT reports to Johnson as well as the digital teams and transformation office.

IT 115
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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 That was about 5 years ahead of major European capitals such as Paris and London.

Testing 53
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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Model implementation.

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How To Suck At Social Media: An Indispensable Guide For Businesses

Occam's Razor

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. And, through experimentation, what is it that they want on Facebook… Content perfectly targeted at their audience, in the above case to try and provide value to help them do their jobs better. Success Metrics.

B2B 167
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Estimating causal effects using geo experiments

The Unofficial Google Data Science Blog

A geo experiment is an experiment where the experimental units are defined by geographic regions. The expected precision of our inferences can be computed by simulating possible experimental outcomes. References Jon Vaver and Jim Koehler, Measuring Ad Effectiveness Using Geo Experiments , 2011.