Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. ETL is vital for ensuring data quality and integrity.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

IBM Data Science in Practice

MARCH 8, 2023

They also serve as fundamental components of predictive models, for the quality of the features will have a major impact on the quality of the insights gained from an AI model. Tools like Git and Jenkins are not suited for managing data. Source: Master Software Soulution The Next Frontier? — Feature Spark, Flink, etc.)

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Alation

SEPTEMBER 28, 2022

Easy-to-experiment data development environment. Automated testing to ensure data quality. There are many inefficiencies that riddle a data pipeline and DataOps aims to deal with that. DataOps makes processes more efficient by automating as much of the data pipeline as possible.

DataOps 52

DataOps Data Pipeline Data Quality Analytics 52

ODSC - Open Data Science

FEBRUARY 24, 2023

Data Quality Now that you’ve learned more about your data and cleaned it up, it’s time to ensure the quality of your data is up to par. With these data exploration tools, you can determine if your data is accurate, consistent, and reliable. You can watch it on demand here.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Precisely

FEBRUARY 10, 2023

Precisely leverages AI to automate the discovery of data issues in real time, recommend data quality rules, and suggest data enrichment opportunities. Anomalous data can occur for a variety of different reasons.

DataOps 52

DataOps Data Observability ML ML 52

AWS Machine Learning Blog

SEPTEMBER 18, 2024

As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021. It simplifies feature access for model training and inference, significantly reducing the time and complexity involved in managing data pipelines.

AWS 126

AWS Machine Learning Machine Learning ML 126

The MLOps Blog

MARCH 21, 2023

Olalekan said that most of the random people they talked to initially wanted a platform to handle data quality better, but after the survey, he found out that this was the fifth most crucial need. And when the platform automates the entire process, it’ll likely produce and deploy a bad-quality model.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69