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Data Strategie (8)
Wednesday, January 31 (1)
How High-Quality Data in Generative AI Models Drives Customer Service Results, With Nga Phan of Salesforce AI
High-quality data is essential for the success of generative AI models in customer service. In a recent interview with N…
Tuesday, January 30 (2)
How JetBlue Used Data Observability To Help Improve Internal “Data NPS” By 16 Points Year Over Year
JetBlue utilized data observability to enhance data trust, resulting in a 16-point year-over-year improvement in interna…
Why Your Data Incident Management Process Is Broken…And 5 Steps to Fix It.
The article explains why the data incident management process often falls short and highlights the importance of an appr…
Thursday, January 25 (1)
Implementing Data Contracts in the Data Warehouse
The article provides a practical guide for BI professionals on implementing data contracts in data warehouses. It explai…
Tuesday, January 23 (1)
Experts Share the 5 Pillars Transforming Data & AI in 2024
In 2024, data teams face a pivotal choice: adapt to AI technologies or risk falling behind. Experts have identified five…
Tuesday, January 9 (1)
How Seasoned Optimized the Data Incident Management Process to Improve Data Quality at Scale
Seasoned has optimized its data incident management process with four best practices to enhance data quality at scale. T…
Friday, January 5 (1)
5 Layers of Data Lakehouse Architecture Explained
This article explains the five layers of data lakehouse architecture: Ingestion, Storage, Metadata, API, and Consumption…
Thursday, January 4 (1)
Data Contracts and Data Observability: Whatnot’s Full Circle Journey to Data Trust
Whatnot has transformed its data processing from a lack of a modern data stack to handling tens of millions of events da…
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