Konverge AI is a pure-play decision science firm dedicated to empowering businesses with the power of AI. As industry pioneers, we operate at the intersection of data, machine learning (ML) models, and business insights that help you develop cutting-edge AI products and solutions.
Agentic AI: 2025 → 2026 A Readiness Brief for Leaders
This whitepaper explores the shift from assisted AI systems in 2025 to supervised, autonomous operating models in 2026. It explains how agentic AI is moving closer to execution.
SLM or LLM? Here's How to Decide
This whitepaper explores the trade-offs between Small Language Models (SLMs) and Large Language Models (LLMs), outlining their differences in accuracy, cost, deployment, and scalability.
Model Context Protocol (MCP) Essentials
This whitepaper introduces MCP Essentials, providing clear explanations of fundamental concepts and exploring their significance through an industry-specific lens.
Databricks vs. Microsoft Fabric (Vol. 2 - 2025)
A practitioner-led comparison of Databricks and Microsoft Fabric, featuring hands-on insights from real experiments and the latest update.
AI in Finance
Artificial Intelligence is changing the way financial services work. It helps automate tasks, reduce risks, and improve customer experiences.
Microsoft Purview vs. Databricks Unity Catalog
Choosing the right data governance solution is crucial for organizations seeking effective data management and compliance.
A Hands-On Comparison of Databricks and Fabric (Vol. 1 - 2024)
This whitepaper offers a comprehensive analysis of Databricks vs. Microsoft Fabric, comparing their architectures, core features, and key differences.t
Choose the Right Vector Databases for AI
This whitepaper presents a comprehensive analysis of vector databases, their functionality..
AI in Speech Analysis
Explore AI-driven speech analysis and discover its latest innovations, techniques, and applications.
Gen AI Guardrails Checklist
The essential Gen AI guardrails checklist covers 6 areas that impact the effectiveness of Gen AI models.
LLM whitepaper
Comparative study of CPU, T4 GPU and A100 GPU Acceleration for Inference Time in Large Language Models
Document Chunking for AI Applications
The whitepaper provides a comprehensive analysis of document chunking techniques