Data Science Connect

MARCH 22, 2023

To learn more about data observability, don’t miss the Data Observability tracks at our upcoming COLLIDE Data Conference in Atlanta on October 4–5, 2023 and our Data Innovators Virtual Conference on April 12–13, 2023! Are you struggling to make sense of the data in your organization?

Data Observability 130

Data Observability Data Governance Analytics Analytics 130

Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data.

Data Observability 52

Data Observability Data Quality Data Pipeline Data Governance 52

Data Science Dojo

OCTOBER 10, 2023

Link to event -> Generative AI and Data Storytelling Here are some of the key takeaways from the article: Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music. Data storytelling is the process of using data to communicate a story in a way that is engaging and informative.

AI 243

AI AI Data Observability Artificial Intelligence 243

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Data Quality 52

Data Quality Data Governance Data Scientist Data Wrangling 52

IBM Journey to AI blog

JULY 3, 2024

Establishing a foundation of trust: Data quality and governance for enterprise AI As organizations increasingly rely on artificial intelligence (AI) to drive critical decision-making, the importance of data quality and governance cannot be overstated.

AI 45

AI AI Data Quality Database 45

Pickl AI

MARCH 19, 2025

Apache Airflow Apache Airflow is a workflow automation tool that allows data engineers to schedule, monitor, and manage data pipelines efficiently. It helps streamline data processing tasks and ensures reliable execution. It helps organisations understand their data better and make informed decisions.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52