AI and Information Management Report 2024

Data is the fuel to AI success – yet research shows many organizations fail to prioritize their data before implementing AI

In 2024, artificial intelligence (AI) is no longer a buzzword, but a practical solution for solving real business. Despite its potential, 95% of organizations encountered hurdles during AI implementation, primarily due to the quality and organization of internal data.

AvePoint's latest research, the AI and Information Management Report, delves deep into the insights of over 750 global business leaders from around the world, shedding light on the current landscape of AI adoption. The report evaluates the measures organizations are taking to manage their data in the context of AI implementation, explores the impact of information management strategies on AI success, and offers strategies to overcome common obstacles.

By downloading the report, you'll learn:

• The role of data in driving successful AI initiatives
• The largest hurdles to safe and successful AI implementation
• The correlation between IM strategies and ROI on AI investments
• The importance of data privacy policies and accountability measures in AI implementation

The findings of the report are clear: those who neglect to prioritize their data strategies risk stumbling in their AI journey. However, organizations with mature information management strategies are proven to be 1.5x more likely to realize the benefits of AI.

Don't miss out on this opportunity to learn from the experiences of digital workplace leaders across the world. Download the AvePoint AI and Information Management Report today to conquer AI’s data dilemma and become a leader in AI innovation.

Table of Contents

• Introduction
• Current State of Enterprise AI
• Navigating the Gap from Perceived Data Readiness to True Data Readiness
• The Role of Information Management in AI Readiness
• The Future of AI in the Workplace
• Recommendations

Get a Sneak Peek

Perception vs reality: the stark discrepancy in data readiness for AI implementation

Although more than half of organizations surveyed admitted to being concerned about data processing infrastructure before implementing AI, 80% of organizations still believed their data was ready for AI. This confidence was unfounded, though, as during implementation, over half of organizations (52%) encountered challenges with internal data quality and organization, exposing a clear disconnect between perceived data readiness and actual AI-ready data

The critical role information management plays in unlocking ROI on AI investments

While most organizations prioritize approaches other than a robust data strategy to ensure ROI from their AI investments, survey results reveal a strong correlation between the maturity of an organization's information management strategy and its AI success. Organizations with a more mature information management strategy were 1.5x more likely to realize the early advantages of AI implementation compared to those with a less robust approach.