NEWS
Everpure expands data management capabilities to accelerate enterprise AI
Everpure has announced new data management capabilities designed to help enterprises overcome the challenges of deploying artificial intelligence at scale, including fragmented data, unpredictable inference costs and complex implementation processes.
The enhancements build on the company’ s Data Primacy vision, introduced at Pure // Accelerate in June, which positions data rather than applications at the centre of enterprise architecture in the AI era.
As organisations move from AI experimentation to production deployments, ensuring that autonomous agents have secure, governed and reliable access to enterprise information is becoming increasingly important.
Everpure aims to address these challenges through its Data Intelligence capabilities, which enable organisations to discover, classify and contextualise information across the Everpure Platform, public cloud environments, software-as-a-service( SaaS) applications and third-party storage systems.
The latest enhancements include native integration with the Model Context Protocol( MCP), allowing AI agents and security tools to query live data catalogues using natural language. This enables agents to identify relevant information and understand its sensitivity classification before using it in AI workflows and analytics.
“ Enterprise AI is hitting a wall not because the models are lacking, but because data is not ready for real-time, autonomous agents. We are eliminating that friction. By making enterprise data continuously governed, automated, and instantly accessible, we’ re giving organizations the foundation to move AI out of the lab and into production with the necessary confidence,” said Prakash Darji, General Manager, Data & Digital Experience at Everpure.
Dilip Kumar, President, Technology Solutions, NTT DATA
NTT DATA expands global AI Factory network
NTT DATA has announced the global expansion of its
AI Factories, providing hands-on environments where organisations can assess how priority AI use cases can be deployed, secured, governed and operated at scale.
The environments enable business and technology leaders to evaluate AI workloads against real-world requirements, including infrastructure architecture, performance, workload placement and cost.
NTT DATA’ s market research indicates that enterprise leaders are seeking greater confidence in performance and business value before scaling their AI investments. For many organisations, the transition from AI pilots to production is being hindered by infrastructure bottlenecks, governance concerns, security requirements and uncertainty surrounding operational costs and performance.
To address these challenges, NTT DATA AI Factories combine the company’ s full-stack AI expertise with technologies from leading ecosystem partners, including Cisco and NVIDIA.
Riyadh serves as NTT DATA’ s strategic AI Factory hub for the Middle East and Africa, connecting regional organisations to its expanding global AI Factory ecosystem across North America, Europe and Asia-Pacific.
The environments are supported by technologies from NTT DATA’ s partner ecosystem, including Cisco Secure AI Factory with NVIDIA, which provides a secure and scalable infrastructure foundation for enterprise AI deployments.
“ AI at scale is ultimately about turning intelligence into measurable business impact,” said Dilip Kumar, President, Technology Solutions, NTT DATA.
Prakash Darji, General Manager, Data & Digital Experience at Everpure.
“ That requires organizations to balance innovation with responsibility and make informed choices about where AI creates value and how it can be deployed sustainably and economically. Our AI Factories help clients build that confidence before they scale.”
10
INTELLIGENT CIO MIDDLE EAST www. intelligentcio. com