Category

Data Management

Managing Misuse, in Dual-Use Foundation AI Models
Artificial Intelligence, Data Management, Data Science, Technology

Managing Misuse, in Dual-Use Foundation AI Models

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries.  Pros and Cons of generative AI…

Denodo and the Gartner Peer Insights™ Voice of the Customer for Data Integration Tools, 2024
Business, Data Governance, Data Management, Data Science

Denodo and the Gartner Peer Insights™ Voice of the Customer for Data Integration Tools, 2024

Reading Time: 3 minutes Data integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly…

Active Data Architecture: The Need of the Hour
Business, Data Governance, Data Management, Data Science

Active Data Architecture: The Need of the Hour

Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable. Howard Dresner refers to such infrastructures as “active data architecture.” Dresner…

Unleash the Power of Generative AI and Denodo Platform to Deliver a Differentiated 10-K Performance with Clinical Trial Data
Artificial Intelligence, Data Governance, Data Management, Technology

Unleash the Power of Generative AI and Denodo Platform to Deliver a Differentiated 10-K Performance with Clinical Trial Data

Reading Time: 3 minutes One of the biggest frustrations across the board in healthcare and clinical research is poor quality data. High quality data is essential for clinical trials, as well as for improving healthcare for patients. But all too often, clinical researchers are…

Close