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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.

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From project to product: Architecting the future of enterprise technology

CIO

In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.

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The key to operational AI: Modern data architecture

CIO

Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. Technology: The workloads a system supports when training models differ from those in the implementation phase. To succeed, Operational AI requires a modern data architecture.

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Agentic AI design: An architectural case study

CIO

From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Why has agentic AI become the latest rage?

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Prioritizing Customer Experience Using SLIs & SLOs: A Case Study from The Telegraph

There was a time when technology managers needed to actively monitor these kinds of granular metrics, but today, these alerts just create distracting noise. The premise of SLIs/SLOs is that all teams—product, architecture, development, and platform— need to look at services from the customer’s perspective.

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How to plan for a new business technology operating model

CIO

The second-order impacts of this spending are being strategized, architected, and designed in real time, and were seeing the early signs of emerging technologies like agentic AI being used to reinvent core capabilities in businesses especially now, in light of new tariffs.

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Mastering technology modernization: 6 steps for building your road map

CIO

During my career I have developed a few mottos. The topics of technical debt recognition and technology modernization have become more important as the pace of technology change – first driven by social, mobile, analytics, and cloud (SMAC) and now driven by artificial intelligence (AI) – increases. Which are obsolete?

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

That’s why we developed this white paper to give you insights into four key open-source technologies – Apache Cassandra®, Apache Kafka®, Apache Spark™, and OpenSearch® – and how to leverage them for lasting success.

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Monitoring AWS Container Environments at Scale

Particularly well-suited for microservice-oriented architectures and agile workflows, containers help organizations improve developer efficiency, feature velocity, and optimization of resources.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.