Precisely

DECEMBER 12, 2023

It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation. But with all that data, there are new challenges that may prompt you to rethink your data observability strategy. Complexity leads to risk. Learn more here.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

IBM Journey to AI blog

FEBRUARY 26, 2024

The answer is data lineage. We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data. Download the Gartner® Market Guide for Active Metadata Management 1. That’s why data pipeline observability is so important.

Data Pipeline 112

Data Pipeline Data Engineer Data Engineering Data Engineering 112

Precisely

FEBRUARY 10, 2023

Read our Report Improving Data Integrity and Trust through Transparency and Enrichment Data trends for 2023 point to the need for enterprises to govern and manage data at scale, using automation and AI/ML technology. To learn more about these and other data trends, download your free copy of the IDC spotlight report.

DataOps 52

DataOps Data Observability ML ML 52

The MLOps Blog

JUNE 27, 2023

With Talend, you can assess data quality, identify anomalies, and implement data cleansing processes. Monte Carlo Monte Carlo is a popular data observability platform that provides real-time monitoring and alerting for data quality issues. Flyte Flyte is a platform for orchestrating ML pipelines at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

AUGUST 21, 2024

Inside this folder, you’ll find the processed data files, which you can browse or download as needed. Access the output data using the AWS SDK Alternatively, you can access the processed data programmatically using the AWS SDK. Navigate to the bucket you specified as the output destination for your batch inference job.

AWS 108

AWS Data Preparation ML ML 108