O'Reilly on Data

APRIL 2, 2019

Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects.

Machine Learning 202

Machine Learning Modeling Data Science Software 202

Cloudera

APRIL 1, 2024

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 101

Unstructured Data Cost-Benefit Metadata Machine Learning 101

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations.

Management 363

Management Experimentation B2B Machine Learning 363

Sanjeev Mohan

SEPTEMBER 14, 2020

The boundaries between data management and advanced analytics are blurring fast. Databases are enhancing capabilities to build, train and validate machine learning models right where the data sits – inside the databases and data warehouses. The model is stored in a table as a binary object and can be called from SQL.

Machine Learning 93

Machine Learning Data Warehouse Deep Learning Statistics 93

O'Reilly on Data

JANUARY 25, 2021

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. This study is based on title usage on O’Reilly online learning. Let’s look at the data, starting at the highest level: O’Reilly online learning itself.

Machine Learning 363

Machine Learning Software Testing Technology 363

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

IT 346

IT Testing Experimentation Software 346