DataKitchen

MARCH 16, 2023

You spend all day helping your customers leverage analytics for improved business performance, so why are you so un-analytic about how you run your data analytics teams? What should be in that report about your data team? What should I track? Introduction. How to measure your data analytics team? You’ve got a new boss.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

DataRobot Blog

APRIL 29, 2022

You might be thinking what is model risk, and how can it be mitigated? What is a model? With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe.

Risk 111

Risk Modeling IT Risk Management 111

DataRobot

DECEMBER 28, 2021

This explains why pressure on Data Science teams is growing every day. What if my data doesn’t have predictive power? As experts, they can spend more time on making the decisions that really matter. People continue to be our most critical asset. How can I iterate quickly and show results to my stakeholders?

Modeling 52

Modeling Visualization Data Science Forecasting 52

O'Reilly on Data

OCTOBER 19, 2021

The new category is often called MLOps. Just introducing a new term like MLOps doesn’t solve anything by itself, rather, it just adds to the confusion. What does a modern technology stack for streamlined ML processes look like? Why: Data Makes It Different. However, the concept is quite abstract.

IT 346

IT Testing Experimentation Software 346

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. But first, let’s backup and discuss: what is this Foo thing anyway? What’s a Foo? Introduction. In mid-July I got to attend Sci Foo , held at Google X.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

DataRobot Blog

FEBRUARY 15, 2023

The DataRobot AI Platform makes it possible to engage your cross-functional team to deliver successful AI outcomes, no matter how complex your inputs. Enterprises see the most success when AI projects involve cross-functional teams. For true impact, AI projects should involve data scientists, plus line of business owners and IT teams.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

O'Reilly on Data

JANUARY 25, 2021

But what are “trends”? Those reports are valuable, but their value isn’t in knowing what languages are popular in any given month. And that’s what I’d like to get to here: the real trends that aren’t reflected (or at best, are indirectly reflected) by the horse races. In our industry, cloud computing might be a good example.

Machine Learning 363

Machine Learning Software Testing Technology 363