Empromptu AI, the company leading enterprises through the transition of static SaaS to self-improving AI-native applications, today announced Alchemy Models, a new capability that allows companies to ...

The landscape for video training data and multimodal foundation models in 2026 is defined by a shift from quantity to highly ...

Poor training data does not just hurt model accuracy. It triggers a costly chain reaction. This article shows data leaders exactly where the money bleeds and what to do about it.

The era of the “AI proof-of-concept” is closing fast as enterprises look to move past dazzling demos of AI’s potential, to production systems that deliver impactful business outcomes. Yet, as many ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

For one week this summer, Taylor and her roommate wore GoPro cameras strapped to their foreheads as they painted, sculpted, and did household chores. They were training an AI vision model, carefully ...

However, surgical applications — which demand multimodal reasoning, real-time human interaction, and physical situational awareness — remain underrepresented in standard medical AI evaluation suites.

I am a CRM and data engineering leader with 14 years of experience. Head of sales intelligence and data at Snapchat. Data-driven decision-making has seen a skyrocketing demand in today's world of AI ...

Real data is not sufficient to train better artificial intelligence models, experts said at South by Southwest. But simulated data must be done right. Jon covers artificial intelligence. He previously ...