Generative AI (GenAI) has moved rapidly from experimentation into day-to-day use across many organizations. Over the past year, teams have shifted from exploratory pilots to relying on these tools for ...

Global supply chains are complex and often unpredictable, and traditional planning tools are no longer enough. ERP systems and spreadsheets provide structure but struggle with volatility. Now, ...

Banks are racing to understand how generative AI can transform their operations, yet most institutions remain constrained by decades‑old legacy systems, fragmented data, and risk‑averse governance ...

Generative Artificial Intelligence (GenAI) is rapidly reshaping the legal landscape. Increasingly, clients look to their litigation counsel to employ technology that can reduce costs, accelerate ...

The central role of data positions the industry as a hotbed for innovative artificial intelligence use cases. Verisk, a strategic data analytics and technology partner for the global insurance ...

Generative AI now beats the average person on certain creativity tests. The implication for creative work feels immediate.

In life sciences, enterprise value only emerges when generative AI is treated as a business capability and embedded into existing operating models.

An examination of ethical and legal issues relating to the development and use of generative AI (GenAI), focusing on privacy and data security, intellectual property (IP), and commercial transactions.

The latest version of the Oracle database comes with agent builders and MCP Server integration to help developers embed automation into their workflows. Oracle is doubling down its focus on agentic ...