The Evolution of Clinical Data Management into Clinical Data Science

whitePaper | December 1, 2022

We live in an era of connection and the consumer marketplace is no exception. Businesses are expected to not just meet the needs of customers, but anticipate and exceed them.

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

whitePaper | September 22, 2022

This report introduces the Climate Data Steering Committee (the Committee or CDSC)’s proposed recommendations for the development of an open data utility for climate transition-related data: the Net-Zero Data Public Utility (the Utility or NZDPU). The Utility is designed to be built as part of ongoing enhancements to the United Nations Framework Convention on Climate Change (UNFCCC)'s Global Climate Action Portal and will therefore also support increased integration of private sector commitments and actions within the UNFCCC stocktaking and recognition processes.

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

whitePaper | December 22, 2022

The key objective of setting up data mesh or data fabric architecture is to enable the availability of quality data in a timely fashion to the right people in the right format. A data fabric is an architecture framework and a set of data services that provide frictionless data capabilities across a choice of endpoint applications or services spanning hybrid or multi-cloud and on-premises, by using rich metadata foundation and artificial intelligence/machine learning (AI/ML) automation.