AI drives decision inputs: In 2025, both big pharma and small pharma use advanced predictive modeling, digital twins, and AI-powered analytics throughout R&D and regulatory processes. This reduces ...

In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

Economists and psychologists work together to understand how human behavior impacts people's decision-making in the marketplace.

On one hand, we need raw materials such as copper for the transition to climate-friendly technologies, but on the other hand, ...

In the glowing demo rooms of Microsoft’s new Experience Center One, the company is making a high-stakes pitch for the ...

Even within AI systems, human direction continues to shape the outcome. People define the model’s parameters, select the data ...

AI-powered ‘data fabrics’ bring advanced capabilities to disaster response by unifying disparate data streams and bringing ...

A black box model refers to the level of transparency involved with a very complex computer algorithm. Read on to learn more ...

With the rise in adoption of agentic AI by companies for automation and increasing complexities of the newer versions, ...

Yet, ironically, MAHA’s core concern—that the nation’s most seasoned public-health experts have been rendered senseless over ...