Digital marketers today are caught in the middle of a huge digital transition.
Behind them lie the old, slow, and manual methods of creating content, connecting with customers, tracking engagement, and measuring the results.
Ahead of them is the promise of the brave new intelligence-enabled world, teeming with possibilities—task automation, massive-scale analytics, and real-time, data-driven decision making powered by Artificial Intelligence, Machine Learning, and Deep Learning solutions.
For the most part, these promises have been made in good faith. Connecting clean, structured, and tagged data with powerful machine learning algorithms is an exciting prospect brimming with interesting use cases like:
- Automated content tagging
- Self-assembling web pages
- Dynamic audience discovery
- Predictive scenarios and best next steps
However, for many, this bold new future of seemingly magical efficiencies might be further away than it seems. The industry is currently packed with pundits and vendors getting excited about what might be possible with AI without thinking about the steps needed to get there. While the benefits of becoming an AI-enabled marketer are clear, the journey a marketer and their team needs to take is still hazy.