O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

Corinium

JUNE 6, 2019

A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment. It is also important to have a strong test and learn culture to encourage rapid experimentation. How can advanced analytics be used to improve the accuracy of forecasting?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

Enterprise 101

Enterprise ROI Risk Strategy 101

DataRobot Blog

JULY 28, 2022

In addition to the accuracy of the models we built, we had to consider business metrics, cost, interpretability, and suitability for ongoing operations. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc., which can lead to large prediction errors.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

CIO Business Intelligence

MAY 1, 2024

For every optimistic forecast, there’s a caveat against a rush to launch. Pilots can offer value beyond just experimentation, of course. Saving just six minutes of developer time a month is enough to cover the cost, according to Redfin , although there are other metrics like code quality that organizations will want to track as well.

Cost-Benefit 143

Cost-Benefit Metrics Insurance Measurement 143

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66