Synopsis: In this AI Leadership Insights video interview, Amanda Razani speaks with Jim Liddle, chief innovation officer at Nasuni about preparing unstructured data for AI.
In this interview, Amanda Razani sits down with Jim Liddle, chief innovation officer of Nasuni, to discuss how companies can prepare their unstructured data for AI implementations. Liddle provides an overview of Nasuni’s hybrid cloud platform, explaining how it integrates traditional NAS systems with cloud storage, offering the best of both worlds. He highlights the importance of consolidating data into a global file system to streamline access for AI systems. He also touches on the challenge of keeping fresh, day-to-day data accessible to AI models by using virtual edge appliances to ensure real-time data availability and historical versioning. Liddle emphasizes the role of global synchronization and how Nasuni enables fast, seamless access to data across different locations.
The conversation shifts to the challenges businesses face in managing vast amounts of unstructured data, such as data hoarding and a lack of visibility into large datasets. Liddle explains how Nasuni’s platform helps organizations collapse data silos, ensuring that all relevant data is accessible for AI training and analysis. He also discusses the growing importance of retrieval-augmented generation (RAG) architectures, which enable enterprises to leverage AI models while maintaining control over their domain data. Liddle concludes by emphasizing that a solid AI strategy must be underpinned by a robust data management plan, as data quality and accessibility are essential for successful AI implementations.
