AI Storage Strategy

3 keys things keeps coming up when talking to clients:
- Agile infrastructure for App Modernization
- Unstructured data management for AI and Analytics
- Security, Resiliency and Governance of data
On Agile infrastructure, clients want to move away from manual deployments to automation and are looking for actual infrastructure to support on this journey.
Enterprises begin to build applications that needs to access all these unstructured data in realtime and how to unify all of the different data sources. if you don’t unify your multiple sources of data you won’t get any interesting insights from your data.
And how can you bring together all of this data in realtime without going through very long and expensive data ingestion cycles and how can you create an infrastructure that can feed that data very rapidly to things like GPUs. You need a storage strategy that can provide that level of performance.
On security, fintech innovation has brought about unprecedented fraud. we’re working with clients on how to improve identity and data privacy and governance - confidential computing. Like reducing the threat exposure window from days to hours and proactively safeguard data with a multi-faceted and scalable data resiliency approach that defends against cybervulnerabilities from detection to recovery.
This is where I reassure clients that clients I have complete answer to cyber resiliency. No matter what happens I can recover your data. And if I can’t recover all your data I’ll pay $5m to you.
We apply these best practices and design patterns to garner over $50M worth of clients orders across cybersecurity, customer experience, high frequency trading, data management and governance.
Need a storage cluster for your AI project? Engage us at cloud@huntrecht.com