article thumbnail

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. Yet many of the most pressing risks are economic , embedded in the financial aims of the companies that control and manage AI systems and services.

article thumbnail

What is ITIL? Your guide to the IT Infrastructure Library

CIO Business Intelligence

ITIL’s systematic approach to IT service management (ITSM) can help businesses manage risk, strengthen customer relations, establish cost-effective practices, and build a stable IT environment that allows for growth, scale, and change. The two bodies formed an alliance at the end of 2006 to further IT service management.

IT 103
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. 2014 Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S. Department of Health and Human Services.

article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

article thumbnail

To Balance or Not to Balance?

The Unofficial Google Data Science Blog

Choose the weights $alpha$ that minimize the cross-validated risk: $hatalpha =argmin_{alpha} frac{1}{J}sum_{j=1}^Jfrac{1}{|mathcal V_j|}sum_{iin mathcal V_j} L(M_i, hat e_{alpha, mathcal T_j})$ subject to $quad 0 leq alpha_kleq 1, sum_{k=1}^Kalpha_k=1,$ and define the final estimator as $hat e_{hatalpha}(x)$. 2014): 243-263.

article thumbnail

Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

Founded in 2014, Acast is the world’s leading independent podcast company, elevating podcast creators and podcast advertisers for the ultimate listening experience. This post is written in collaboration with Claudia Chitu and Spyridon Dosis from ACAST.

article thumbnail

Top Challenges and Opportunities for Chief Data Officers

Sisense

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. Or do they encourage novel ideas at the risk of having unconnected data?