Doug Green, Publisher of Technology Reseller News, interviewed Fern Halper, Founder of AI Foundations Group and VP of Research at TDWI, to discuss what separates successful AI initiatives from those that stall—and why data strategy remains the critical foundation for AI success.
Halper emphasized that while excitement around AI—particularly generative AI—continues to grow, many organizations are still struggling to move from experimentation to measurable business value. The primary reason, she explained, is not the models themselves, but the underlying data environment. “If your data isn’t ready, your AI isn’t going to succeed,” Halper said, highlighting the importance of data quality, governance, and accessibility.
A key theme of the conversation was the need for organizations to align AI initiatives with real business objectives. Rather than pursuing AI for its own sake, companies should focus on specific use cases where data can drive outcomes such as improved customer experience, operational efficiency, or revenue growth. Halper noted that organizations that succeed tend to start with well-defined problems and build from there, rather than attempting large-scale transformations without a clear roadmap.
The discussion also explored the evolving role of data management in the AI era. As organizations adopt more advanced analytics and machine learning capabilities, they must modernize their data infrastructure—often leveraging cloud platforms—to support scalability and real-time insights. This includes integrating disparate data sources, ensuring proper governance, and enabling collaboration between technical and business teams.
Ultimately, Halper positioned AI success as a journey grounded in fundamentals. While new tools and technologies continue to emerge, the organizations that will benefit most are those that invest in strong data foundations, clear strategy, and disciplined execution.
Learn more at https://datamakesworld.com/.
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