Everpure announces the launch of a new data intelligence platform aimed at streamlining storage and data management capabilities, the latest pivot post-rebrand.
The new platform, announced at the company’s annual Pure Accelerate conference in Las Vegas, aims to simplify data visibility, control and management.
According to Everpure, the platform has three key features, including “universal” data discovery capabilities that increase visibility of structured and unstructured data, regardless of storage format, the company said.
Other key differentiators were touted by Everpure as automated governance features aimed at enhancing compliance capabilities and data mapping to drive “AI-enabled context” for agents.
“Everpure Data Intelligence discovers, categorizes, and contextualizes enterprise information at the source,” the company said in a blog post.
“Works with all your data, including the Everpure platform, public clouds, SaaS applications, and third-party storage.”
Release “confined meaning”
The primary focus of data intelligence platforms is to unlock the meaning locked away in enterprise data, which is often hosted in rigid applications and siled storage infrastructures.
An IDC analysis earlier this year identified data silos as one of the key roadblocks to enterprise AI innovation, and Everpure’s position on this front is that by failing to centralize and integrate data sources, we are missing out on important context.
This “context” directly impacts the output of AI, leading to models and agents relying on poor quality data, another IDC study found. In a recent survey, the majority of respondents (94%) said data quality was “important or very important to the success of their AI projects.”
Specifically, redundant data, siled storage architecture, and stale data are ranked as the three main causes of poor data quality.
With the adoption of agent AI well underway, the need to provide agents with accurate and relevant data is now critical, which will ultimately lead to improved response accuracy and thereby help reduce token costs, Everpure said.
Everpure data management essentials
This move by Everpure builds on its recent acquisition of data management company 1Touch and incorporates key features and capabilities of its own platform.
In a media briefing ahead of the event, company executives said the announcement marks the latest shift in the company’s data management axis. Everpure first signaled its intentions on this front when it launched its Enterprise Data Cloud (EDC) at a conference last year.
This does not mean that storage is not still the company’s primary focus, but rather represents a shift based on changes in enterprise storage architecture in the AI era.
Prakash Darji, general manager of Everpure’s Digital Experience business unit, told the assembled media that “data readiness” is now a key focus for enterprise customers.
On the other hand, traditional application-centric architectures where data is fed to a centralized application often lock up critical data and context. Darji highlighted specific functions such as sales and finance as key examples here.
“The architecture paradigm basically started over time with a single building block, and that building block was the application. Data comes from the application, just like an ERP or CRM system,” he explained.
“Context, business rules, pricing logic, everything is encapsulated within that architectural unit.”
As a result, companies regularly face data bottlenecks and blind spots, requiring them to move to a “data-centric” architectural model, which the company calls a “data-first model.”
“In a data-first model, information is liberated from individual applications and becomes a shared, managed system of record,” the company said in a blog post.
The main focus here is to ensure that the data is “self-describing” and “conveys its own meaning and logic.”
Rob Lee, chief technology and growth officer at Everpure, said this means upending these traditional architectures and comes at a time when companies are increasingly entering an AI-accelerated world.
“In a data-first world, what we’re saying is, ‘Hey, customers, take control of your data. You own your data, you own how you store it and how you use it, and your applications need to adapt to that,'” he told the assembled media.
