Data Integration combines information from multiple sources into a unified, consistent view. This process is essential for AI platforms like Luca AI or Olympus AI, which rely on aggregating financial, operational, and market data to generate insights. Integration may involve structured data (like databases) and unstructured data (like social media posts or PDF reports). Modern data integration often uses APIs, cloud-based pipelines, and AI-powered data mapping to ensure accuracy and reduce latency. Businesses benefit from integrated data through improved analytics, streamlined workflows, and more accurate reporting. Without proper integration, decision-makers risk working from incomplete or outdated information, reducing the effectiveness of both human judgment and AI-driven recommendations.
