February 6, 2025
A recent article from Computing Security highlights the growing consensus among industry experts: AI’s success is intrinsically tied to effective data management. As organizations increasingly adopt AI-driven tools, ensuring that data is properly structured, accessible, and managed becomes a top priority.
Key Takeaways from the Article:
- Automated Data Orchestration: With AI adoption on the rise, companies need to efficiently aggregate and streamline disparate data sources. Automated data orchestration plays a crucial role in integrating these sources into AI systems.
- Customizing Large Language Models (LLMs): As businesses tailor AI models for industry-specific needs, techniques such as Retrieval-Augmented Generation (RAG) are gaining traction. These methods require a solid data foundation to enhance accuracy and reliability.
- AI’s Storage Demands: The exponential increase in data generation requires scalable storage solutions to ensure AI systems have the necessary resources to function optimally.
Jimmy Tam, CEO of Peer Software, emphasizes the importance of a strategic approach to AI data management:
“As more organizations turn to AI for everything from better-informed decision-making to operational efficiency, it’s becoming clear that data needs to be managed more effectively.”
To read the full article and explore insights from industry leaders on AI, data management, and storage trends, visit
Computing Security’s website.
