The role of AI in business operations continues to expand, but its effectiveness is directly tied to how well data is managed. In the January/February 2025 issue of Storage Magazine, industry leaders discuss the growing importance of data orchestration in AI-driven environments.
In the article “All About the AI”, Jimmy Tam, CEO of Peer Software, highlights the critical role of automated data orchestration in preparing data for AI applications. As organizations increasingly rely on AI for decision-making and efficiency improvements, managing data effectively becomes essential. With data being created across multiple sources, the ability to aggregate, streamline, and optimize data pipelines will be key for organizations looking to leverage AI at scale.
Key Takeaways:
- Data Orchestration for AI: Automating data management processes to ensure AI models work with relevant, high-quality data.
- Customization through AI Models: The use of Retrieval-Augmented Generation (RAG) to tailor AI solutions for specific industries and business needs.
- Scalability and Efficiency: AI’s reliance on large datasets means storage and data access strategies must evolve to keep up with growing demands.
For a deeper look at how data management is shaping AI adoption across industries, read the full article in Storage Magazine here.
