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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO Business Intelligence

As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. These platforms also seamlessly integrate with enterprise data fabric, enabling a unified approach to securing sensitive data across silos.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO Business Intelligence

In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. The sponsor’s primary responsibility is to secure funding and justify the business value of the investment.

Agile 363
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Is your EA just IT? Unlocking the value of enterprise architecture

CIO Business Intelligence

Enterprise architecture (EA) has evolved beyond governance and documentation. A well-structured EA foundation provides the clarity, governance and visibility necessary to deliver sustainable long-term impact. A centralized EA repository enables enterprise-wide visibility into systems, dependencies, and risks.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. In this session, you will learn: How the silos development led to challenges with data growth, data quality, data sharing, and data governance (an example of datamesh paradigm adoption).

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Cisco: Pressure to deploy AI is up, but only 13% feel ready

Network World

Pressure to implement AI plans is on the rise, but the readiness of enterprise networks to handle AI workloads has actually declined over the past year , according to new research from Cisco. However, between 2023 and 2024, global AI readiness in the enterprise has declined.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.