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.
5 steps to cut storage costs and keep them down. →
Storage costs and hardware lead times are climbing, but buying more capacity isn’t the only answer. Much of your primary-tier data is cold and untouched. See how optimizing what you already own reclaims capacity, eases budget pressure, and automates the data lifecycle.
Storage costs and lead times are rising. The answer isn’t more capacity. It’s optimization. →
Diskover CPO Paul Honrud, a 35-year data management veteran, explains why managing unstructured data is an ongoing discipline, not a one-time cleanup. Ignored files pile up until storage fills, workflows slow, and risk climbs. See how a ‘lifestyle’ approach keeps data optimized and AI-ready.
Why good data management is a lifestyle, not a cleanup project. →
AI success depends less on models and GPUs than on the data behind them, and over 80% of enterprise data is unstructured. See the five-step process, from discovery to governance, that turns messy files into clean, discoverable, AI-ready data your models can actually use.
Unstructured data preparation for AI: Why it matters for the model. →
Can AI build a real product, not just code snippets? Diskover’s VP of Product used AI agents end to end, defining requirements, generating Jira stories, writing features, and running reviews, to take the Diskover MCP connector from idea to shipping product. Here’s how it came together.
Building the Diskover MCP Connector with AI: From idea to shipping product. →
Most enterprises racing toward AI aren’t ready, and the problem isn’t a lack of data. It’s visibility, structure, and control over sprawling unstructured estates. See the six most common blockers, from data silos to cold data on costly tiers, and where to start fixing each.
Is your data AI-ready? Most enterprises aren’t—here’s why. →
For oil and gas teams, seismic and subsurface data sprawls across on-prem, cloud, and aging archives. See how GeoComputing’s RiVA platform and Diskover unite it into one searchable view, with fast metadata discovery and automated curation that make geoscience data trustworthy and AI-ready.
Unlocking the power of unstructured data with Diskover on the RiVA platform. →
Diskover VP of Product Olivier Rivard shares how Anthropic’s Model Context Protocol turned AI from a productivity tool into a true development partner, one that connects to real systems, pulls live data, and acts. It’s the story of moving from experiments to real products for unstructured data management.
How MCP turned AI experiments into real product ideas. →
Unstructured data has long been treated as digital junk, kept for backup or compliance. But it’s the hidden fuel of next-generation AI. Using the semiconductor industry as a lens, see how discovery, enrichment, and automation turn dormant files into a genuine source of innovation.
From files to fuel: Rethinking unstructured data for the AI era. →
