Remove 7-automations-for-a-machine-learning-automation-platform
article thumbnail

7 Critical Automations for a Machine Learning Automation Platform

Dataiku

Incorporating automation into ML projects can help data scientists or data engineers deploy (and keep) more work in production while reducing the amount of time spent on maintaining those projects once they’re in production. When looking for a machine learning automation platform or solution, below are some features to keep in mind:

article thumbnail

DataKitchen’s 2020 Honors & Awards

DataKitchen

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241
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

Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. billion within the next five years , since machine learning helps developers create powerful new apps.

article thumbnail

2021 Data/AI Salary Survey

O'Reilly on Data

Learning new skills and improving old ones were the most common reasons for training, though hireability and job security were also factors. In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. Would your job still be there in a year? Executive Summary.

article thumbnail

Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. 2) MLOps became the expected norm in machine learning and data science projects. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

article thumbnail

12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

article thumbnail

Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. All too often, trends degenerate into horse races over languages and platforms. This study is based on title usage on O’Reilly online learning.