IBM Journey to AI blog

MAY 20, 2024

From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes. Have you ever wondered how these algorithms arrive at their conclusions? The answer lies in the data used to train these models and how that data is derived.

Machine Learning 115

Machine Learning Machine Learning Data Scientist ML 115

Snorkel AI

JULY 3, 2023

So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. As the algorithms we use have gotten more robust and we have increased our compute power through new technologies, we haven’t made nearly as much progress on the data part of our jobs.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Machine Learning Machine Learning 52

Snorkel AI

JULY 3, 2023

So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. As the algorithms we use have gotten more robust and we have increased our compute power through new technologies, we haven’t made nearly as much progress on the data part of our jobs.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

Snorkel AI

JULY 3, 2023

So today I’m going to talk about an approach I often use to help remedy the time burden: reusable data cleaning pipelines. As the algorithms we use have gotten more robust and we have increased our compute power through new technologies, we haven’t made nearly as much progress on the data part of our jobs.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Pipeline Data Scientist Machine Learning 52

DataRobot Blog

APRIL 1, 2018

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40