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Everpure Introduces Data Intelligence and Enterprise Data Cloud Enhancements for AI Workloads

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중국 Beijing Qianxing Jietong Technology Co., Ltd. 인증
중국 Beijing Qianxing Jietong Technology Co., Ltd. 인증
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베이징 첸싱 지에통 테크 주식회사의 영업 사원은 매우 전문적이고 참을성 있습니다. 그들은 빨리 인용을 제공할 수 있습니다. 제품의 품질과 패키징은 또한 매우 좋습니다. 우리의 협력은 매우 매끄럽습니다.

—— 《Festfing DV》LLC

내가 긴급히 인텔 CPU와 토시바 SSD를 찾고 있었늘 때, 베이징 첸싱 지에통 기술 주식회사로부터의 샌디는 나에게 많은 도움을 주었고, 나에게 빨리 필요로 한 제품을 가져다 주었습니다. 나는 정말로 그녀를 압니다.

—— 고양이 엔

베이징 첸싱 지에통 기술 주식회사의 샌디는 내가 서버를 구입할 때 제시간에 나에게 구성 오류를 상기시킬 수 있는 매우 주의깊은 판매원을 있습니다. 엔지니어들은 또한 매우 전문적이고, 빠르게 테스팅 프로세스를 완료할 수 있습니다.

—— 스트렐킨 미하일 블라드미로비치

베이징 첸싱지에통과의 협업에 매우 만족합니다. 제품 품질이 훌륭하고, 배송도 항상 제 시간에 이루어집니다. 영업팀은 전문적이고, 인내심이 많으며, 모든 질문에 매우 친절하게 답변해 줍니다. 그들의 지원에 진심으로 감사드리며, 장기적인 파트너십을 기대합니다. 강력 추천합니다!

—— Ahmad Navid

품질: 제 공급업체와의 좋은 경험. 미크로틱 RB3011은 이미 사용되었지만 매우 좋은 상태로 모든 것이 완벽하게 작동합니다. 통신은 빠르고 원활했습니다.그리고 제 모든 걱정은 빠르게 해결되었습니다.매우 신뢰할 수 있는 공급자

—— 제란 콜레시오

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Everpure Introduces Data Intelligence and Enterprise Data Cloud Enhancements for AI Workloads

June 22, 2026
Everpure has unveiled new capabilities to help enterprises accelerate AI initiatives while retaining full visibility, governance and control over internal data. The update centers on the launch of Everpure Data Intelligence (formerly 1touch.io), paired with multiple upgrades to its Enterprise Data Cloud (EDC) architecture.

최신 회사 사례 Everpure Introduces Data Intelligence and Enterprise Data Cloud Enhancements for AI Workloads  0

The release addresses growing pain points of application-centric IT environments, where critical business data is locked in isolated applications. Expanding AI adoption exacerbates data silos, triggering data sprawl, governance risks and redundant data duplication, making it harder to build trusted data sources for AI models and agents.

Everpure Chairman and CEO Charles Giancarlo stated that enterprises must shift from application-centric to data-centric architectures amid AI-driven IT transformation. He stressed embedding governance, contextualization and semantic understanding into the data layer enables trusted, real-time intelligence repositories to support both traditional applications and AI workflows.

Building a Data-Centric Foundation for AI


Everpure adopts a data-primacy model, where data exists independently of consuming applications. It serves as a shared system of record with built-in context, semantic meaning, governance policies and lifecycle controls.
Applications and AI agents can read and contribute to the unified data environment, while the data platform retains full data ownership. This design improves data consistency and reduces fragmentation prevalent in modern SaaS and AI ecosystems.

Everpure Data Intelligence


Immediately available, Everpure Data Intelligence discovers, classifies and contextualizes enterprise data at its source across on-premises infrastructure, public clouds, SaaS applications, third-party storage and the native Everpure platform.
The tool delivers full visibility into structured and unstructured data, including databases such as Microsoft SQL Server and Oracle. By mapping the location of critical business data, enterprises gain a holistic view of cross-platform data assets and break free from application-specific silos.

최신 회사 사례 Everpure Introduces Data Intelligence and Enterprise Data Cloud Enhancements for AI Workloads  1

It automates core governance workflows by scanning environments for sensitive data including PII and PHI. The platform tracks full data lineage and cross-dataset relationships, helping enterprises sustain compliance and governance across distributed IT environments.

Its core semantic knowledge graph links enterprise data to business context and correlations. This enables AI agents to better interpret enterprise data, boosting response accuracy while lowering context window occupancy and token consumption.

Enterprise Data Cloud Enhancements


Everpure has rolled out multiple upgrades to its EDC architecture, starting with Unified Data Plane updates. The upgrades build a unified operational foundation for enterprise infrastructure, eliminating scattered storage and performance silos.A key highlight is Evergreen//One Overdrive, slated for Q3 2026 release. It delivers temporary performance expansion for on-premises storage, supporting up to 25% workload spikes above baseline without permanent capacity upgrades.

Intelligent Control Plane Updates


Everpure is upgrading its Intelligent Control Plane with AI-powered operational features to simplify enterprise infrastructure management.Workload Rebalance & Mobility (Q4 2026) automatically migrates active workloads across storage resources without downtime, optimizing capacity utilization and stabilizing application performance.Copilot Workflow Execution (Q2 2026) adds natural-language storage orchestration, allowing admins to plan, validate and execute infrastructure tasks across distributed environments.Enhanced Cyber Anomaly Detection (Q2 2026) analyzes full-stack infrastructure telemetry to identify hidden suspicious behaviors and coordinated login activities invisible at individual system levels.Fusion Compliance & Agentic Triage (Q4 2026) monitors hardware and software configuration policy drift, leveraging AI analysis to locate root causes and recommend remediation solutions.

Enterprise Data Cloud Roadmap


To facilitate data-centric architecture adoption, Everpure released the EDC Success Blueprint, a structured framework for assessing infrastructure readiness, identifying security and operational risks, and advancing toward fully automated enterprise data operations.

The company’s overarching strategy builds a unified data fabric with full visibility into data location, connections and business context. By embedding governance, semantic understanding and AI operations into the data layer, Everpure equips enterprises with a scalable foundation for running traditional workloads and next-generation AI applications.

Beijing Qianxing Jietong Technology Co., Ltd.
Sandy Yang/Global Strategy Director
WhatsApp / WeChat: +86 13426366826
Email: yangyd@qianxingdata.com
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담당자: Ms. Sandy Yang

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