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

In today’s era of artificial intelligence, it is increasingly tempting to pursue models that deliver the highest possible statistical performance—often at the cost of transparency. Many of today’s ...

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

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

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 ...

For more than a decade, supply chain leaders have been promised that artificial intelligence would finally fix planning. Yet for many organizations, planning remains slow, siloed, and ...

Solution slashes case analysis time by 75%, eliminates alert fatigue and fragmented data, delivering certainty and empowering analysts to focus on high-priority incidents. BENGALURU, India and AUSTIN, ...

IUB’s Center for Computational and Data Sciences (CCDS) is a research-focused initiative that promotes interdisciplinary work in data science, artificial intelligence, and computational technologies.