AI News

AUGUST 29, 2023

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started. The comprehensive event is co-located with Digital Transformation Week. So that’s on the vendor side. “On

Data Ingestion 158

Data Ingestion Explainability Big Data ETL 158

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. Whenever drift is detected, an event is launched to notify the respective teams to take action or initiate model retraining.

Data Science 103

Data Science Data Drift DevOps Auto-complete 103

Marktechpost

JULY 17, 2023

Predictive analytics uses methods from data mining, statistics, machine learning, mathematical modeling, and artificial intelligence to make future predictions about unknowable events. It relates to employing algorithms to find and examine data patterns to forecast future events. It creates forecasts using historical data.

Machine Learning 82

Machine Learning Data Mining Data Scientist Artificial Intelligence 82

The MLOps Blog

MARCH 28, 2023

The DevOps and Automation Ops departments are under the infrastructure team. Machine learning workflow of the Visual Search team Here’s a high-level overview of the typical ML workflow on the team: First, they would pull raw data from the producers (events, user actions in the app, etc.) On top of the teams, they also have departments.

Machine Learning 59

Machine Learning Automation Data Scientist ML 59