Remove 2011 Remove Experimentation Remove Risk
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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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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management. What Is Model Risk?

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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.

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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. Further, there is the risk that the increased ad spend will be less productive due to diminishing returns (e.g.,

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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics.

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Unintentional data

The Unofficial Google Data Science Blog

We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected. Make experimentation cheap and understand the cost of bad decisions. This leads to the proliferation of post hoc hypotheses.

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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

Not wanting to risk it, I click on the Find in Store link you see at the bottom of the page. Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. My wife thinks I’ll look prettier in the red, I think the Mustard really looks like my color. :). At 91%, the rate is highest this year.

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