Join Hammerspace and special guests Prashant Sharma, CTO & Co-Founder, and Mike Seashols, CEO, of Secuvy, for an in-depth discussion of how enterprises can instantly address their AI data pipeline challenges. We will discuss how to eliminate complexity, automate manual processes, maximize existing infrastructure during the current SSD availability crisis, and ensure every byte of data used for AI is governed, secure, and compliant.
What you will learn:
- Solving the “Data Silo” Paradox: How to unify unstructured data across on-premises, edge, and multi-cloud environments into a single, global namespace without the cost and lag of traditional data movement (moving the logic to the data, not the data to the logic).
- Automating the AI Tooling Ecosystem: How to streamline the integration between data storage and the AI toolchain (like PyTorch, TensorFlow, and Kubeflow). Automating data orchestration means developers spend less time managing mount points and more time refining models.
- Integrated Security and Data Governance: How to leverage automated metadata tagging to simplify the “trash in, trash out” problem. Easily build workflows around data compliance, security, and preparation for RAG (Retrieval-Augmented Generation).
- How to Monetize Unstructured Data Faster: Implementing POVs and production data pipelines shouldn’t take months. Find out how to get instant visibility into your unstructured data assets and start producing AI-ready data tomorrow.
