Remove Agile Remove Applications Remove Architecture
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What is data architecture? A framework to manage data

CIO Business Intelligence

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. Optimize data flows for agility.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

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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. Establish clear roles and responsibilities for an integrated team of business, application, data and technology architects. Ensure architecture insights drive business strategy. Accelerate transformation by enabling rapid decision-making. The result?

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Agentic AI design: An architectural case study

CIO Business Intelligence

Microsoft is describing AI agents as the new applications for an AI-powered world. A company that adopts agentic AI will gain competitive advantages in innovation, efficiency and responsiveness and may become more agile in operations. This data would be utilized for different types of application testing.

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Monitoring AWS Container Environments at Scale

Containers power many of the applications we use every day. 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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IBM: 78% of mainframe shops are piloting, operating AI apps

Network World

New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.