By creating and maintaining a unified metadata repository, the data foundation provides centralized governance and control ...

What Is Safety Data Overload in Pharmacovigilance?Safety data overload in pharmacovigilance refers to the situation where drug‑safety teams are inundated with an ever‑increasing volume of individual ...

Enterprise AI agents are often framed as a model problem. We’re told that the leap from building chatbots to agentic systems depends on better reasoning, larger context windows, and smarter benchmarks ...

Inference protection is a preventive approach to LLM privacy that stops sensitive data from ever reaching AI models. Learn how de-identification enables secure, compliant AI workflows with ...

PPG's journey highlights a trend in enterprises seeking to deploy AI applications: without a strong data environment, success is hard. This challenge is leading enterprises to realize that not only is ...

Identity teams faced a sharper governance test as AI agents gained autonomy. Henrique Teixeira, senior vice president of strategy at Saviynt, says organizations ...

Opportunities, Architecture, and Challenges: A Systematic Review,” published in Account Audit, the authors argue that AI is expanding audit coverage and improving anomaly detection, while also ...

Automatic data extraction with AI speeds up workflows, improves accuracy, and enables smarter decision-making across multiple industries.

Cohesity, the leader in AI-powered data security, and Cyera, the end-to-end Data and AI Security Platform, today announced the launch of Cohesity Data Security Posture Management (DSPM), powered by ...

Brandfuel, the leading provider of Product Experience Management (PXM) for the Post-PIM era, today announced the immediate availability of its AI-powered Product Ingest and Management Agent, a new ...

Mining Data and Knowledge for AI Success The ever-accelerating pace of AI model developments is enough to make even the best and most tech-savvy KM practitioners dizzy. Just when we think we have a ...

As companies race to adopt agentic AI to spur innovation and gain efficiency, building the right enterprise data infrastructure has become a critical component of success.