AI is set to transform marketing analytics, enabling improvements, unlocking efficiencies, and enhancing insights. Broad adoption should be the norm, yet significant barriers hinder progress.
The IBM 2023 AI Adoption Index outlines five key obstacles to AI adoption in marketing analytics: integration difficulties, data complexity, high costs, skill limitations, and ethical concerns.
These challenges are significant hurdles, but they can be overcome with a use-case-driven approach to AI deployment, leading to rapid value realization and performance improvement.
Building a use-case catalog helps prioritize AI opportunities in marketing, scoring potential use cases based on impact, scale, and required effort, facilitating focused implementation.
Collection
[
|
...
]