REFRAME THE PROBLEM. RETHINK THE STRATEGY.
How a methodical approach to AI adoption can make the difference between sunk costs and exponential gains.
AI has embedded itself deeply into marketing, but its potential remains untapped. Despite significant investment, only 52%* of AI initiatives deliver measurable value. What’s hindering progress?
Without a clear roadmap, AI deployments become fragmented and fail to align with business goals.
Disconnected departments make it hard to share and leverage AI insights effectively.
Limited funding restricts access to advanced tools, training, and scaling capabilities.
While leaders embrace AI, many frontline teams often remain skeptical, slowing adoption.
Teams often struggle with complex AI implementations due to insufficient training and understanding.
*Source: Infosys CMO Radar 2024
Start with specific, actionable goals for AI implementation, targeting key marketing challenges.
Align marketing, IT, and data science teams to break down silos for cross-functional cooperation and innovation.
Test AI initiatives with pilots, measure results, and scale successful solutions incrementally.
Equip teams with training to demystify AI technologies and build confidence in adoption.
Unlock AI’s potential by ensuring high-quality data, strong governance, and a unified data platform.