Precisely

JANUARY 9, 2025

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Can AIs responses be trusted? Can it do it without bias?

Data Warehouse 119

Data Warehouse Hadoop Data Governance Data Lakes 119

Pickl AI

AUGUST 31, 2023

Accordingly, the need for Data Profiling in ETL becomes important for ensuring higher data quality as per business requirements. The following blog will provide you with complete information and in-depth understanding on what is data profiling and its benefits and the various tools used in the method.

Data Profiling 52

Data Profiling ETL Data Quality Data Wrangling 52

Precisely

FEBRUARY 20, 2025

Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges.

Data Silos 69

Data Silos AI AI Data Quality 69

Alation

MAY 24, 2022

Alation has been leading the evolution of the data catalog to a platform for data intelligence. Higher data intelligence drives higher confidence in everything related to analytics and AI/ML. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Reduce data duplication and fragmentation.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

Pickl AI

OCTOBER 19, 2023

In the scientific realm, accurate data fuels breakthrough discoveries. Ethical Considerations Data quality is closely tied to ethical considerations, especially in fields like healthcare and AI. Biased or incomplete data can perpetuate inequalities and lead to discriminatory outcomes.

Data Quality 52

Data Quality Data Governance Data Warehouse Machine Learning 52

The MLOps Blog

MARCH 15, 2023

Data Storage : To store this processed data to retrieve it over time – be it a data warehouse or a data lake. Data Consumption : You have reached a point where the data is ready for consumption for AI, BI & other analytics. Provides data security using AI & blockchain technologies.

Data Pipeline 59

Data Pipeline ETL SQL Data Quality 59