Post-production has a reasonable suspicion of artificial intelligence, and creative work is not where it belongs. Underneath the timeline, though, sits an estate nobody can fully see: camera originals, proxies, versions, masters, and decades of archive spread across every tier. That is where AI earns its place, and where it gives your artists their nights back.
In post, the AI worth having never touches the creative. →
Tony Chidiac spent four years selling the infrastructure foundation for artificial intelligence, rising to Head of Worldwide AI Sales at NetApp. He watched hundreds of companies buy the foundation and still fail to get results. Now Diskover’s chief revenue officer, he explains what sits between a company and a working AI program, and why the answer is the data nobody can see.
Interview with Tony Chidiac | AI does not stall on infrastructure. It stalls on data. →
You bought the GPUs. You hired the ML team. And your AI project is still stalled. Not because the science is hard, but because no one can find and assemble the data to train on. In life sciences, the real bottleneck isn’t compute. It’s data readiness. Here’s why the right datasets go dark, and how to bring them back into reach.
The bottleneck in AI drug discovery isn’t compute. It’s locating the relevant data. →
Snowflake Horizon Catalog governs every table, app, and model — but 80% of enterprise data still lives in files it never mapped. Diskover indexes the unstructured estate across every storage tier and delivers it into Snowflake as queryable rows: metadata first, content on demand. One catalog, from tables to files.
“Automation” is the most overused word in enterprise technology, so here is what it actually means for unstructured data: turning policy into action, not just another dashboard. Define a rule once, such as “archive files untouched for two years,” and Diskover applies it continuously across every storage tier, surfacing each set for a person to approve before anything moves. AI-assisted, human-approved: the intelligence runs on its own, the decision stays yours.
From insight to action: what data automation actually means. →
Storage budgets don’t balloon because teams store more valuable data, but because no one can see what’s on tier-1 storage or whether it belongs there. Cutting costs isn’t a one-time cleanup, it’s a cycle. Here’s the five-step framework to reduce storage costs, and keep them down for good.
Metadata, your most underused asset. →
Latest news about AJA | Diskover Media Edition Start at
Latest News About AJA Diskover Media Edition from IBC 2022 →
Visual Data Improves Content Delivery with AWS Partner TrackIt. AWS
Visual Data Improves Content delivery with AWS Partner TrackIt and Diskover Data →
Diskover Community Edition Now Available on AWS Marketplace. Get hands
Diskover Community Edition Now Available on AWS Marketplace →
