05 Dec, 2025

From Static Storage to Intelligent Insight: How Deep Neural Networks Are Redefining the Future of File Archiving

In my previous blog titled ”Reimagining File Archiving: Turning Data Chaos into Business Intelligence”, I explored various nuances of the foundational pillars of any archival suite of platforms, vis-à-vis compliance, cost efficiency, security, and intelligent information lifecycle management and governance. Each of the aforementioned elements are critical for transforming any routine archiving task into a […]

6 mins read

Reimagining File Archiving: Turning Data Chaos into Business Intelligence

Listen to the blog File archiving has transcended its legacy definition of just being a long-term storage mechanism to become more of a strategic data management powerhouse. The strongest archival platforms are built around four foundational pillars: compliance, cost efficiency, security, and intelligent information lifecycle management and governance. Each element addresses a pressing challenge for […]

5 mins read

The Time is Now: Conquering Your Enterprise’s Unstructured Data Mountain

While organizations have invested heavily in managing structured databases and transactional systems, a largely un-talked about issue has emerged—the explosive growth of unstructured files that are stored, never truly managed, and certainly not used. The time for action is now. The Staggering Reality of Unstructured Data Growth The numbers tell a compelling story that every […]

7 mins read

Uncovering Hidden Costs: The ROI of File Archiving (Save $1 million)

We’re in 2025, and many businesses today are becoming increasingly data-centric. In this data-first ecosystem, enterprises end up accumulating large volumes of files that are never opened and just left unused. On average, a mid-sized business today generates over 250 TB of data each year. This figure highlights the massive scale of data production in […]

7 mins read

How are Huge Corporate Files Archived?

Large corporations accumulate massive amounts of data through direct collection from websites, apps, surveys, and POS systems and indirect collection from IoT devices, public sources, third-party providers, partnerships, and mergers and acquisitions. These datasets can be categorized into structured, unstructured, and semi-structured data, all meant to be dealt with differently. This often leads to redundant […]

5 mins read