O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. Experiments allow AI PMs not only to test assumptions about the relevance and functionality of AI Products, but also to understand the effect (if any) of AI products on the business. Don’t expect agreement to come simply.

Marketing 362

Marketing Experimentation Metrics Testing 362

Dataiku

APRIL 22, 2022

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. Storage infrastructure and data collection/processing costs. Frugal by Design: Why Focus on the Data and Not the Code? Is this level of computation and engineering of my model needed?

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. But the power, value, and imperative of observability does not stop there.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279