Perhaps the most underappreciated analyst skill is their ability to navigate “unknown unknowns.” Leaders do not always know ...

A loan gets approved at 2:17 a.m., no human on shift, no second pair of eyes. An AI model read the bank statements, guessed ...

Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to ...

The divide   between builders and consumers  is shaping not only how generative AI is used but also whether it delivers value ...

In the race to build smarter artificial intelligence (AI) and supporting systems, many digital organizations and technology developers are focused on making more efficient models. The architecture, ...

As Broadway Malyan’s chief operating officer, Sabrina Klor was less concerned with design and more with joining the dots ...

A new startup called General Intuition is part of a growing wave of companies trying to make AI agents that can interact with ...

Research and industry forecasts consistently warn that between 60% and 90% of AI projects are at risk of failure by 2026, ...

To lead in the agentic era, executives must champion synthetic data as a foundation for innovation, while pairing it with ...

Andrew Norrie makes the case for open data standards, and argues Industry Foundation Classes has a vital role to play in data ...

New research reveals why most enterprise AI projects fail—and how a disciplined, data-first approach can turn hype into ...

The most important security problems are about understanding interconnected systems, not about analyzing a single piece of ...