Data Digest: Data Science Teams, Statistical Paradoxes, Unstructured Data

Choosing a data science team structure, paradoxes data scientists have to watch out for, and new methods for handling unstructured data.

Should the members of your data science team have assigned functions or cross-train in multiple areas?

Data scientists need to watch out for statistical paradoxes that can undermine the accuracy of their work.

Focus on managing the data, not the data storage methods.

Realizing ROI with Trusted AI

Join us to hear James Kobielus, TDWI senior research director for data management, explore the ROI of AI in diverse business scenarios and the need to build trust and governance into AI applications. 04/18/2024
Expert Panel: Improving Data Quality, Accuracy, and Consistency

On April 22, join TDWI senior research director James Kobielus and industry experts for an in-depth panel discussion of the current state of data quality management practices in enterprises and emerging new organizational structures, practices, platforms, and tools. 04/22/2024
Leveraging Analytics, AI, and Lakehouses for Enhanced Customer Experiences

Join TDWI’s VP of Research Fern Halper and experts from Databricks and Braze as they discuss the future of customer engagement. 04/23/2024

TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing