Converged Workloads: Enabling Real-Time Enterprise Intelligence and AI Innovation

This IDC Perspective explores how hybrid transactional/analytical processing (HTAP), or converged workloads, is redefining enterprise data architecture. By combining transactional reliability with analytical intelligence, these environments eliminate latency between data creation and insight, enabling real-time decision-making, continuous intelligence, and the seamless use of AI within business operations.This document examines the technologies, market dynamics, and adoption strategies driving this convergence and provides guidance for IT and data leaders modernizing their database environments to support greater agility, intelligent automation, and accelerated AI-driven innovation."AI and automation depend on accurate and timely data. Converged workloads transform databases from static systems of record into living systems of intelligence, where every transaction becomes an opportunity for reasoning, adaptation, and action." - Devin Pratt, research director, Data Management, IDC