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From Drift to Discipline: Operating Model for Regaining Enterprise Cloud Control

From Drift to Discipline: Operating Model for Regaining Enterprise Cloud Control

Today's enterprise innovations, including AI and real-time solutions, rely heavily on cloud infrastructure. However, many organizations face challenges like cloud sprawl and security risks, highlighting the need for more cohesive and proactive infrastructure management.


What are some key challenges that enterprises face in managing their cloud infrastructure?
Enterprises often encounter challenges such as cloud sprawl and security risks. Cloud sprawl refers to the uncontrolled proliferation of cloud services, leading to inefficiencies and increased costs. Security risks arise from inadequate management of access controls and data protection, which can expose organizations to cyber threats.
Sources: [1]
How can enterprises effectively regain control over their cloud infrastructure?
To regain control, enterprises should develop a comprehensive cloud strategy that includes a clear migration plan, strong governance frameworks, and robust security measures. Implementing automation for network management, ensuring proper network segmentation, and leveraging AI for operational efficiency are also crucial. Additionally, understanding the shared responsibility model with cloud service providers is essential for maintaining security.
Sources: [1], [2]

18 July, 2025
DZone.com

Kishore Jeeri on Building Intelligent, Scalable Platforms for the AI Era

Kishore Jeeri on Building Intelligent, Scalable Platforms for the AI Era

Enterprise cloud strategies are evolving as digital platforms expand, shifting from traditional migrations to intelligent systems that optimize operations in real-time. PwC’s Cloud and AI Business Survey reveals that 92% of businesses are embracing this transformative approach.


What does it mean to build an intelligent, scalable platform in the context of the AI era?
Building an intelligent, scalable platform involves creating systems that can efficiently handle increasing workloads and data volumes while incorporating AI capabilities to optimize operations in real-time. This requires disciplined engineering practices to ensure platforms are fast, resilient, and ready for hypergrowth, enabling businesses to adapt quickly to evolving demands and leverage AI-driven insights for operational efficiency.
Sources: [1]
How are enterprise cloud strategies evolving with the adoption of AI-driven intelligent systems?
Enterprise cloud strategies are shifting from traditional cloud migrations to the development of intelligent systems that optimize operations in real-time. According to PwC’s Cloud and AI Business Survey, 92% of businesses are adopting this transformative approach, which involves integrating AI to enhance scalability, automate processes, and improve decision-making, thereby enabling more agile and efficient digital platforms.
Sources: [1]

17 July, 2025
AI Time Journal

Producing tangible business benefits from modern iPaaS solutions

Producing tangible business benefits from modern iPaaS solutions

A historic UK retailer modernized its IT landscape using an integration platform as a service (iPaaS), achieving a 40% reduction in integration costs. This shift highlights iPaaS's role in enhancing operational efficiency and supporting AI-driven strategies across enterprises.


What is an Integration Platform as a Service (iPaaS) and how does it work?
iPaaS is a cloud-based software model that enables organizations to integrate data and applications from multiple sources into a unified platform. It provides a centralized interface to design, deploy, and manage integrations between cloud and on-premises systems, often using prebuilt connectors. This allows businesses to automate data flows, transform data formats, and create workflows triggered by specific events, improving operational efficiency and reducing the need for custom programming.
How does adopting iPaaS solutions benefit businesses operationally and financially?
Adopting iPaaS solutions helps businesses reduce integration costs significantly—by as much as 40% in some cases—by streamlining data flows and eliminating data silos. It enhances operational efficiency by automating workflows and enabling real-time data synchronization across disparate systems. Additionally, iPaaS supports AI-driven strategies by providing ready-to-use, integrated data, which can improve decision-making and innovation.

07 July, 2025
MIT Technology Review

Pure Enterprise Data Cloud bundles its IP for business outcomes

Pure Enterprise Data Cloud bundles its IP for business outcomes

An all-flash evangelist enhances its Enterprise Data Cloud by integrating storage management and as-a-service solutions, while also expanding hardware offerings with high-performance arrays and a groundbreaking 300TB flash module, promising significant advancements in data storage technology.


What is the Pure Enterprise Data Cloud (EDC) and how does it improve data storage management?
The Pure Enterprise Data Cloud (EDC) is a unified data management platform that integrates Pure Storage's existing technologies—Purity storage OS, Fusion, Pure1, and Evergreen—into a single cloud-like storage management environment. It provides enhanced visibility, policy-driven management, and orchestration of storage, server, networking, and application configurations across on-premises, hybrid, and cloud environments. This unified approach simplifies management, reduces silos, and supports as-a-service consumption models, enabling businesses to better control and automate their data storage operations.
Sources: [1], [2]
What role does Pure Fusion play within the Enterprise Data Cloud?
Pure Fusion acts as a storage-as-code control plane within the Enterprise Data Cloud, enabling centralized management of all storage arrays as endpoints in a unified data mesh. It automates complex deployment configurations through intelligent presets that handle quality-of-service, protection levels, and performance requirements. Fusion streamlines storage fleet management from a single interface and supports automated workflows that integrate storage with computing, networking, and applications, facilitating complex tasks such as multi-site database replication and cloud integration.
Sources: [1], [2]

18 June, 2025
ComputerWeekly.com

The SaaS Mess: How Enterprises Lost Control Of Their Software

The SaaS Mess: How Enterprises Lost Control Of Their Software

ERP Lifecycle Optimization introduces a comprehensive framework designed to proactively manage change across fragmented systems, enhancing efficiency and adaptability in organizational processes. This innovative approach aims to streamline operations and improve overall system performance.


What is ERP Lifecycle Optimization, and how does it help enterprises manage their software?
ERP Lifecycle Optimization is a framework designed to manage change across fragmented systems, enhancing efficiency and adaptability in organizational processes. It helps streamline operations and improve overall system performance by proactively managing the lifecycle of ERP systems, which includes planning, implementation, maintenance, and eventual upgrade or replacement.
Why is it important for enterprises to optimize their ERP systems?
Optimizing ERP systems is crucial for enterprises because it improves efficiency, reduces costs, and maximizes performance. As ERP systems integrate critical business functions, their optimization ensures that organizations can make data-driven decisions and maintain operational agility in a rapidly changing business environment.
Sources: [1], [2]

10 June, 2025
Forbes - Innovation

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