Traditional data architectures are rigid and siloed, limiting agility, experimentation and the cross-domain insights required ...

AI was to be a miracle for businesses & consumers alike. AI implementations that were supposed to transform business ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

Speaking at a recent conference panel, officials identified a top use case on their wish list: assisting with the classification of records and the authorization to access those records. “I would ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Complementary solutions automate discovery, governance, and enforcement of data sharing and transfer Together with ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

AI success requires sustained investment, iterative experimentation, and a commitment to evolve alongside the technology.

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...

What follows is our perspective, from technology leadership and practicing lawyers, on how AI will reshape legal service ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...