Selecting MarTech for AI

Discover where AI fits within your MarTech stack, and how to review and prioritize your stack to improve AI integration

Module purpose

One side-effect of the growth in AI is that many new AI-enabled services have launched and existing MarTech vendors have integrated new AI tools into their services.

Given this challenge, the integration challenge should now be a key part of the MarTech decision-making process in every organization, particularly with regards to IT.

In this advanced learning module, discover where AI fits within your MarTech stack, and how to review and prioritize your stack to improve AI integration.

How is the Learning Path structured?

Objectives
Where should AI fit in complex MarTech stacks?
Simplifying the choice for integrating AI within a MarTech stack
Creating a map to audit and prioritize AI integration
Selecting specific AI MarTech tools in different categories
Summary

Learning Objectives

Understand where AI can fit within a composable MarTech stack
Explain different categories of AI solution and how they integrate
Give examples of widely used AI for marketing SaaS services

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This module is in the AI for Marketing Learning Path

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