Data Digest: Managing Ethics for AI

Principles for ethical AI, avoiding bias in text analysis, more data ethics courses available.

For AI to be both trustworthy and useful, it must be guided by ethical principles.

Training AI models with large volumes of historical text could risk embedding racist and sexist attitudes into the models.

More universities are developing courses that examine the ethical use of data due to growing demand.

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

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