unstructured data

Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Files and folders streaming as light through a data center aisle, representing unstructured data in motion
, , , , , ,

Interview with Tony Chidiac | AI does not stall on infrastructure. It stalls on data.

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. →

The bottleneck in AI drug discovery is finding the data — research files scattered across an enterprise storage estate.
, , , , , , , ,

The bottleneck in AI drug discovery isn’t compute. It’s locating the relevant 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. →

Diskover maps unstructured files across storage tiers into Snowflake Horizon Catalog as queryable metadata rows.
, , , , , , ,

Extending Snowflake Horizon Catalog to the Enterprise Unstructured Data Estate: metadata first, content on demand

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.

Extending Snowflake Horizon Catalog to the Enterprise Unstructured Data Estate: metadata first, content on demand →

Glowing infinity loop showing the continuous data automation lifecycle, with icons for AI, code, security, governance, and deployment representing insight turning into action.
, , , , , , ,

From insight to action: what data automation actually means.

“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. →

Metadata management with a control plane: unstructured file data across every storage tier and vendor becomes searchable visibility, governance, and AI-ready insight.
, , , , , , ,

Metadata, your most underused asset.

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. →

red abstract image
, ,

Diskover Now Available on Oracle Cloud Marketplace

Diskover is now available on the Oracle Cloud Marketplace, giving OCI customers a faster, simpler path to unstructured data visibility and AI readiness. With native integration into OCI services like Object Storage and OpenSearch—and the ability to purchase using Oracle Universal Credits—Diskover helps teams structure the unstructured, reduce storage costs, and accelerate innovation.

Diskover Now Available on Oracle Cloud Marketplace →

Scroll to Top