Carl Robinsons discusses some of the key issues data science teams encounter when building their own datasets, and how a vendor like CCC can help eliminate these issues.
Using publicly available data for research or projects may be attractive because it can be more easily accessible than proprietary or private materials.
Whether recently graduated or transitioning into the role from a different career, information professionals (IPs) new to their position face unique challenges as they work to help their organization achieve its goals.
At the Town Hall, CCC colleagues Babis Marmanis and Catherine Zaller Rowland will explore AI & LLM related issues with copyright experts Daniel Gervais and Noam Shemtov.
Of the many applications of deep search benefitting organizations, a standout is the ability for an organization to use the solution to create an entirely new dataset when no single source exists and essential information is spread across multiple unconnected sources.
CCC’s Roy Kaufman writes in The Scholarly Kitchen about how generative AI has changed the dynamic of the EU’s Digital Single Market Copyright Directive (DSM), creating risks and challenges for rightsholders and users alike.
According to the Biden Administration, “the Executive Order establishes new standards for Artificial Intelligence (AI) safety and security, protects Americans’ privacy, advances equity and civil rights, stands up for consumers and workers, promotes innovation and competition, advances American leadership around the world, and more.”