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Rising Tide Rents and Robber Baron Rents

O'Reilly on Data

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. The market was maturing. From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%.

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Discussion: 2013 Wisdom of Crowds® Business Intelligence Market Study

Howard Dresner

Having just recently published our 2013 Wisdom of Crowds® Business Intelligence Market Study, the group attending one of my recent Friday #BIWisdom tweetchats on Twitter wanted more insights on several of the study’s findings. And financial metrics are a great starting place, especially for a public company.

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. It can come in handy when tracking, analyzing, and sharing metrics connected with employee performance. The Underlying Concept.

Big Data 140
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What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL 4 contains seven guiding principles that were adopted from the most recent ITIL Practitioner Exam, which covers organizational change management, communication, and measurement and metrics. Since 2013, ITIL has been owned by Axelos — a joint venture between the Cabinet Office and Capita. How does ITIL reduce costs?

IT 105
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Why you should care about debugging machine learning models

O'Reilly on Data

For model training and selection, we recommend considering fairness metrics when selecting hyperparameters and decision cutoff thresholds. 1] “All models are wrong, but some are useful.” — George Box, Statistician (1919 – 2013). [2] 17] Hopefully some of these techniques will work for you and your team.

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Delivering More Impactful Insights From Your Cloud Data

Sisense

Previously, he held leadership roles in analytics and operations, including launching the company’s first paid SaaS offerings at Square and helping Tremor Video IPO in 2013. Scott enables our data-driven culture by using insights to make actionable decisions by ongoing review of Marketing, Sales, and Customer Success performance metrics.