When organizations are intentional with their AI adoption, they must design controllable systems that elevate the team's ...

Anderson concluded, “This advancement positions Pattern at the forefront of the growing demand for trustworthy AI, enabling organizations to deploy AI systems with greater confi ...

Voice-activated, conversational artificial intelligence (AI) agents must provide clear explanations for their suggestions, or ...

Discussions around AI have shifted from whether the tech is ready for serious enterprise use to whether companies are ready ...

For years, enterprises tolerated opaque automation because outcomes were predictable. Early systems followed fixed rules, handled narrow tasks, and operated within clearly defined boundaries. If ...

Every HR leader knows the problem: job profiles that were accurate two years ago no longer reflect what people actually do. The World Economic Forum projects that nearly 40% of workers' existing skill ...

Even though Anyssa Queen is the Executive Assistant to Duke’s Office of Information Technology Vice President and Chief Information Officer, Queen does not consider herself a “tech person.” But one ...

As organizations race to operationalize AI agents across critical workflows, performance alone is no longer enough—enterprises must also understand, ...

The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from utility payments to transactional behavior machine learning models promise to ...

Move beyond the hype with deterministic AI architectures designed for transparency, accountability and ROI.