AI for Business

This section focuses on the latest insights, strategies, and practical guidance for implementing AI in enterprise environments. Here you’ll find analysis of watsonx platform capabilities, generative AI adoption patterns, and strategic frameworks for successful AI transformation.

Explore in-depth articles, frameworks, and practitioner guides on AI strategy, governance, agents, and automation across the enterprise. New written pieces will be added regularly.

The Enterprise Imperative: AI Orchestration in the Age of Agentic Systems thumbnail

The Enterprise Imperative: AI Orchestration in the Age of Agentic Systems

As agentic AI systems become mainstream, enterprises face a critical challenge: orchestrating complex multi-agent workflows at scale. Drawing parallels from the evolution of Business Process Automation, this analysis explores the six foundational capabilities required for successful AI orchestration and provides actionable guidance for enterprise practitioners navigating this transformation.
Convergence of market segments around AI thumbnail

Convergence of market segments around AI

Chatbots, intelligent process automation, and generative AI are converging into an AI Agents stack. Here’s what’s driving the shift, who’s involved, and how to evaluate investments through a generative lens.
AI Catalogs: The Next Governance Artifact thumbnail

AI Catalogs: The Next Governance Artifact

Why AI catalogs are becoming the core enterprise artifact connecting gateways, governance, and security—plus a pragmatic path to get started.
AI Agents: The Next Layer in Enterprise Architecture thumbnail

AI Agents: The Next Layer in Enterprise Architecture

AI Agents represent a fundamental shift in enterprise architecture, offering tool integration, memory persistence, and iterative reasoning. Based on hundreds of GenAI implementations, we explore two primary adoption patterns and their business impact.