Models that dominate leaderboards often underperform in production. Learn why benchmark saturation and data contamination undermine predictive power, and how to build evaluation programs that actually predict real-world success.

AI agents are rapidly becoming central to enterprise operations, with 60% of organizations now deploying agents. However, despite widespread adoption, 39% of AI projects in both 2024 and 2025 continue to fall short of expectations. The difference between success and failure isn’t the technology – it’s systematic evaluation. Learn how enterprise leaders are using comprehensive frameworks to measure not just what their agents produce, but how they think, ensuring safer deployments and measurable ROI across performance, safety, and user experience.

The annual Interspeech 2025 conference in Rotterdam carried the theme “Fair and Inclusive Speech Science and Technology.” While the research covered everything from low-resource ASR to mental health detection, one idea kept resurfacing: progress in speech AI is bottlenecked by the data we collect, curate, and use to train models. Unlike past years where model architectures dominated the headlines, 2025

Managed, secure and crowd-based solutions power generative and agentic AI applications for top 10 global technology companies, the Fortune 500 and innovative startups

While 83% of enterprises now report operational AI implementations, only a fraction successfully scale beyond pilots to transformational business impact. The gap reveals an execution problem masquerading as a technology challenge. Most AI strategies focus on vision but lack the operational blueprints necessary for sustainable transformation. This article addresses critical gaps in current enterprise AI strategy, and provides some of

LXT, a provider of industry-leading AI data solutions, today released its fourth annual executive survey, The Path to AI Maturity