5 things you should do now to get AI ready before the competition

To gain a competitive edge in AI readiness, organizations should focus on centralizing their data infrastructure to ensure it is complete, current, and accessible, as the real advantage lies not in the AI models themselves, which are widely available, but in the data quality and infrastructure. The text outlines a strategic approach to preparing for AI, emphasizing the urgency of quantifying data bottlenecks, centralizing data using modern tools like Fivetran, and building robust pipelines with change data capture (CDC) capabilities to support agentic AI. It highlights the importance of storing data in open, portable formats like Apache Iceberg to avoid costly migrations and ensure flexibility across future technological shifts. Additionally, organizations are encouraged to think beyond their current data sources, identifying new data categories that could significantly enhance their AI capabilities. The text underscores that the timing of these strategic moves is critical, as early adopters are likely to establish a substantial lead in AI-driven competitive advantages.

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