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Practical Ways to Unlock Revenue Growth with AI
Learn how leaders can maximize customer value and business growth in 2025 and beyond.
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Overview
Challenges
Summary
Key takeaways
Leverage Predictive Insights:
AI models can identify risk factors in customer renewals that may not be apparent through gut instincts or traditional metrics.
Data Accessibility:
Utilizing machine-generated and standardized data leads to more reliable insights compared to data reliant on manual entry.
Actionable Recommendations:
Implementing a recommendation engine aids teams in prioritizing which customers to focus on based on predicted outcomes.
Transparency and Trust:
Building trust in predictive scores through transparency about their creation and effectiveness is crucial for team buy-in.
Continuous Improvement:
Feedback loops enhance model accuracy, ensuring ongoing adjustments lead to progressively better revenue outcomes.
Podcast speakers

Thomas Lah
Executive Director and Executive VP, TSIA

Brent Grimes
Founder & CEO, Reef.ai
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