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20 Emerging AI Use Cases for Generating Revenue

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March 19, 2024

Overview

Challenges
Only 34% of technology companies have documented ROI from deploying AI, underscoring a significant opportunity for improvement in how organizations leverage AI for revenue generation. This report will provide guidance for companies looking for specific use cases to boost their revenue.
Summary
The article presents insights into the emerging AI capabilities that can significantly enhance revenue generation across technology companies. It categorizes AI use cases into different levels of adoption, emphasizing the need for businesses to keep pace with evolving AI trends or risk compromising their competitive edge. With a focus on practical applications and best practices, the article guides revenue generation leaders on how to leverage these capabilities to drive growth.

Included in the full report

AI Capability Categorization:

The article outlines four categories of AI capabilities based on their adoption levels, highlighting the importance of staying informed about current trends.

Revenue Generation Categories:

Six categories where AI can improve workflows are identified, including Offer Creation, Lead Generation, Opportunity Development, Expansion Prioritization, Renewal Risks, and Continuous Sales Improvement.

Investment in AI:

TSIA will conduct surveys to identify which AI categories are receiving the most investment, allowing companies to focus their efforts strategically.

Competitive Landscape:

Only a small percentage of technology companies currently see AI impacting revenue, indicating significant opportunity for growth in this area.

Actionable Next Steps:

Revenue leaders are encouraged to engage with TSIA resources, participate in surveys, and stay updated on AI best practices to effectively implement AI in their strategies.

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