Vignesshvar is a Data Consultant who enables organizations to build smarter, cloud-powered data ecosystems. At Factspan, he leads projects that modernize data platforms and accelerate analytics adoption across AWS, Azure, and GCP. With a knack for simplifying complex architectures, he turns fragmented data landscapes into scalable, insight-driven systems. His focus is on delivering solutions that make data a true driver of business performance.
Big isn’t always better in AI. Small Language Models deliver faster, cheaper, and more focused performance, excelling in specialized domains where efficiency and explainability matter most. Explore how SLMs are shaping the next generation of intelligent, scalable AI.
Enterprises are Turning to Compact Models in AI Read More »
Most enterprise AI challenges today aren’t about model accuracy, they’re about governance, scalability, and control. Factspan helps organizations move beyond AutoML’s black-box limitations by modernizing their AI infrastructure on Google Cloud’s Vertex AI. The result: was transparent, open, and future-ready AI systems that power both predictive and generative workloads with confidence.
Advancing Enterprise AI with the Vertex Advantage Read More »