Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Smart Data Collective

SEPTEMBER 21, 2021

These solutions must also be able to ingest and integrate data from both on-premise and cloud environments such as Oracle, SAP and AWS, Google, Snowflake, etc. The data fabric solution must also embrace and adapt itself to new emerging technologies such as docker, Kubernetesinserverless computing, etc.

Data Quality 131

Data Quality Data Pipeline Database Internet of Things 131

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Pickl AI

AUGUST 30, 2024

Assessment Evaluate the existing data quality and structure. This step involves identifying any data cleansing or transformation needed to ensure compatibility with the target system. Assessing data quality upfront can prevent issues later in the migration process.

Data Quality 52

Data Quality Data Governance Azure Database 52

Snorkel AI

OCTOBER 4, 2023

Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex data profiles on potential borrowers. Improve the accuracy of credit scoring predictions.

AI 64

AI AI ML ML 64

Snorkel AI

OCTOBER 4, 2023

Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex data profiles on potential borrowers. Improve the accuracy of credit scoring predictions.

AI 59

AI AI ML ML 59

The MLOps Blog

MAY 17, 2023

Here are some specific reasons why they are important: Data Integration: Organizations can integrate data from various sources using ETL pipelines. This provides data scientists with a unified view of the data and helps them decide how the model should be trained, values for hyperparameters, etc.

ETL 59

ETL Data Pipeline ML ML 59