2011 Metrics Modeling Reporting 
O'Reilly on Data
MAY 11, 2020
Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.
DataRobot Blog
MAY 10, 2022
Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.
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O'Reilly on Data
APRIL 23, 2024
From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%. Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. The market was maturing. By the end of 2012, it was up to 82%. These companies did continue to innovate.
CIO Business Intelligence
JUNE 10, 2022
To further reduce that carbon footprint, these vendors are sourcing electricity from renewables and utilizing artificial intelligence (AI)/machine learning (ML)-based models to optimize power consumption. . This in turn can reduce a company’s carbon footprint by optimizing energy consumption. recycle, refurbish, or disposal).
Occam's Razor
APRIL 8, 2013
To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. 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. This should not be news to you.
Occam's Razor
JUNE 28, 2011
Web Analysts are blessed with an immense amount of data, and an amazing amount of valuable, even sexy, metrics to understand business performance. Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Since crappy sounds bad, let's just say you are reporting super lame metrics.
Jedox
JUNE 24, 2021
Typical metrics such as impressions, unique website visitors, raw and qualified leads, sales growth, sales target and target achievement, customer acquisition costs, customer churn rate, sales cycle length are among the ever-growing list of marketing metrics becoming commonly used. The evolution of marketing data.
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