Remove Data Processing Remove Experimentation Remove Measurement
article thumbnail

Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

article thumbnail

What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Insiders

Sign Up for our Newsletter

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

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

DataOps requires that teams measure their analytic processes in order to see how they are improving over time. GitHub – A provider of Internet hosting for software development and version control using Git. AWS Code Commit – A fully-managed source control service that hosts secure Git-based repositories. Azure DevOps.

Testing 300
article thumbnail

How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

After experimentation, the data science teams can share their assets and publish their models to an Amazon DataZone business catalog using the integration between Amazon SageMaker and Amazon DataZone. The applications are hosted in dedicated AWS accounts and require a BI dashboard and reporting services based on Tableau.

IoT 105
article thumbnail

US Air Force seeks generative AI test pilots

CIO Business Intelligence

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

Testing 119
article thumbnail

3 steps to eliminate shadow AI

CIO Business Intelligence

These same decision-makers identify a host of challenges in implementing generative AI, so chances are that a significant portion of use is “unsanctioned.” Integrate AI-specific security measures into existing IT frameworks to mitigate risks and safeguard against potential threats.

article thumbnail

Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis.