IT teams often focus too much on tools and infrastructure without aligning automation efforts to clear business outcomes.

Explainable AI (XAI) is essential for gaining executive trust in data-driven recommendations. Many high-performing AI models operate as black boxes, making their predictions difficult to interpret.

California’s AI regulations lead the way with transparency, safety, and fairness among employers using automated-decision systems in hiring.

Management consulting can reinvent for the age of AI by focusing on human system challenges. These are the problems clients ...

When it comes to AI in business, finance stands out as one of the first areas to lean into the technology’s promise.

The use of artificial intelligence (AI) in public administration is increasing worldwide—including in the allocation of ...

The fallibility of AI for HR functions is not a reason to refrain from using it. After all, human are fallible too, and ...

Overview Generative AI accelerates data processing and yields more accurate predictions.It reduces manual effort by ...

Collective decision-making is hardly a perfect science. Broken processes, data overload, information asymmetry, and other inequities only compound the challenges that come from large, disparate ...

Artificial intelligence (AI) is changing the landscape of design rapidly, offering architects and owners new tools to improve visualization, better communicate with stakeholders and make more-informed ...