Precisely

NOVEMBER 18, 2024

With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data. Without a unified, clean data structure, leveraging these diverse data sources is often problematic. AI drives the demand for data integrity. Take a proactive approach.

Analytics 72

Analytics Analytics AI Data Governance 72

Precisely

NOVEMBER 18, 2024

With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data. Without a unified, clean data structure, leveraging these diverse data sources is often problematic. AI drives the demand for data integrity. Take a proactive approach.

Analytics 59

Analytics Analytics AI Data Governance 59

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 7: Data Quality Metrics.

Data Quality 94

Data Quality Data Governance Data Profiling Clean Data 94

Pickl AI

JULY 24, 2024

Missing Data Incomplete datasets with missing values can distort the training process and lead to inaccurate models. Missing data can occur due to various reasons, such as data entry errors, loss of information, or non-responses in surveys. Bias in data can result in unfair and discriminatory outcomes.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

DagsHub

AUGUST 23, 2024

As a result, Gartner estimates that poor data quality costs organizations an average of $13 million annually. High-quality data significantly reduces the risk of costly errors, and the resulting penalties or legal issues. Data quality is crucial across various domains within an organization.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Pickl AI

JULY 8, 2024

It covers best practices for ensuring scalability, reliability, and performance while addressing common challenges, enabling businesses to transform raw data into valuable, actionable insights for informed decision-making. As stated above, data pipelines represent the backbone of modern data architecture.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

How to Learn Machine Learning

JUNE 9, 2025

A model’s performance can degrade if there is a data distribution shift over time (a.k.a. Inconsistent Data Between Training and Production Many assume the data observed in production will be similar to training data. You should consider using explainability tools (i.e.,

Machine Learning 52

Machine Learning Machine Learning ML ML 52