Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The technological disparity between institutional high-frequency trading firms and retail aggregators has historically been defined by data latency and computational power. Plugsic addresses this ...

Kenya stands at a decisive moment in the evolution of tax administration. Over the past decade we have brought together data from payments, trade, financial institutions, digital platforms and public ...

HGS launched AMLens, a next-generation, AI-powered solution designed to transform and accelerate Anti-Money Laundering (AML) ...

By treating AI as an ever-evolving practice rather than a static system, AMLens directly addresses the pervasive industry issues of manual case resolution, alert fatigue, and regulatory alignment gaps ...

Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...

Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

To address this challenge, I propose the 5‑Layer Modernization Stack, a practical, implementation‑ready architecture designed specifically for financial institutions adopting generative AI. This ...

Abstract: Radiology reports, as a means of inter-physician and physician-to-patient communication, contain key findings and interpretations from imaging studies that guide diagnosis and treatment.