High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

Fremont, CA: Cognitive Intelligence Platforms (CIPs) represent the convergence of AI, ML, NLP, and advanced analytics into unified enterprise systems. Organizations across industries face exponential ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

The data silos contained in disconnected manufacturing systems makes gaining an accurate understanding of day-to-day operations difficult. A Unified Namespace architecture is ...

Abstract: In synthetic aperture radar (SAR) automatic target recognition (ATR), the discrepancy between the source domain and the target domain affects the model’s generalization performance. Existing ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

Video analysis only becomes valuable when it fits naturally into production workflows”— Brad Winett, President of ...

Abstract: In conventional educational environments, it is labor-intensive, subjective, and susceptible to human error to hand-mark descriptive answers. This article ...

Combine scalable analytics with advanced AI capabilities like LLMs and agentic tasks to create a new chipmaking platform.

Agency integrates SEO, AEO, GEO, Local Optimization, and Conversion-Focused UI/UX to drive measurable lead generation ...

AI promises to enhance routing, reduce fraud, and improve straight‑through processing (STP), but it cannot function safely when the underlying payment architecture is opaque. Legacy payment ...