This final blog in our series on the ROI of master data management recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project.

Published: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-iii-project-iteration

Responsible AI ethical principles provide a clear, unifying purpose for the technological, business, and social goals of AI initiatives.

Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-iii-responsible-ai-ethics

Most definitions of a data product conflate it with a data asset. The only way to turn a data asset into a data product is to publish it in a data store along with metadata about subscription and delivery options, and terms of service that specify a bidirectional contract between data consumer and producer.

Published at: https://www.eckerson.com/articles/let-s-be-clear-a-data-asset-is-not-a-data-product

Responsible AI can help data leaders comply with the fast-evolving regulatory environment of data and artificial intelligence.

Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-ii-how-responsible-ai-assists-compliance

US frontier history had races, risks, and rewards. Generative AI's future will follow a similar path.

Published at: https://www.eckerson.com/articles/enterprise-data-and-the-taming-of-the-generative-ai-frontier

Dan and Jay discussed the concept of Data Fabric, an automated and AI-driven approach to managing modern data environments.

Simba Khadder and Kevin Petrie discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.

Learn how to attain an optimal return on investment (ROI) with MDM by choosing the appropriate architectural strategy and evaluating progress during the initial project implementation.

Published at: https://www.eckerson.com/articles/driving-roi-with-master-data-management-part-ii-your-first-project

As organizations strive to meet the ever-growing demand for data, they are adopting data products to streamline delivery and ensure solutions provide value to business stakeholders. Learn about four traps that can disrupt data product development and how to avoid falling into them.

Published at: https://www.eckerson.com/articles/four-traps-to-avoid-when-developing-data-products

Generative AI brings a promise to improve lives in a blistering innovation race, but also a threat to people, corporations, and even nations. Data analytics leaders must understand the risks of generative AI, both societal and business-related, to use it positively and avoid the destructive consequences seen with nuclear energy development.

Published at: https://www.eckerson.com/articles/the-opportunity-and-risk-of-generative-ai-part-i-a-nuclear-explosion