Making effective decisions under pressure isn't about listing the pros and cons, but about working with how the brain works ...

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 ...

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 ...

Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...

There is a “bottom-up approach to data collection” to encourage a focus on usefulness, and a ‘maker-checker-approver’ data ...

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

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

People often think of breakups as impulsive or emotionally driven events. But new research suggests that ending a romantic ...

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

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

Combine structured frameworks with a customizable assessment model to turn strategic fog into prioritized remediation plans ...