IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. For example, neptune.ai Is it fast and reliable enough for your workflow?

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Alation

SEPTEMBER 7, 2021

In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights. Alation’s deep data profiling helps data scientists and analysts get important data profiling insights. In Summary.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

Snorkel AI

MAY 12, 2023

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Model-ready data refers to a feature library. For example, where verified data is present, the latencies are quantified. It enables users to aggregate, compute, and transform data in some scripted way, thereby promoting feature engineering, innovation, and reuse of data. It is essentially a Python library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52