Gartner Research

Tune Your Marketing Technology Stack to Support Algorithmic Marketing

Published: 29 August 2019

Summary

Marketing technology leaders want artificial intelligence and machine learning tools to improve segmentation, message relevance and analysis at scale, but disjointed data integration, storage and workflows inhibit these goals. Prepare and manage your martech assets for stronger AI/ML performance.

Included in Full Research

  • Key Challenges
  • Identify Use Cases That Set AI/ML Expectations
  • Support Use Cases With Data, Content and Training
    • Fuel Your AI/ML Use Cases With a Foundation of Data and Content
    • Use Data to Build a Strong Foundation and Apply the Right Models to It
    • Train Staff for Algorithmic Marketing Execution
  • Mature and Evolve With Proofs of Concept
    • AI and ML Is the Future of Data-Driven Marketing

Analysts:

Benjamin Bloom

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