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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures.

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

CIO Business Intelligence

Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).

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The change management Informatica needed to overhaul its business model

CIO Business Intelligence

We still operated our core license and maintenance business, but we changed everything, including CRM, revenue recognition, reporting, and customer success to support the new cloud business operating model. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6

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The 2020 Forrester And InfoWorld EA Awards Contest Winners Focus On Business Architecture, Digital Transformation, And Governance

Forrester IT

In the Forrester/InfoWorld Enterprise Architecture Awards competition, we look for the most dramatic stories of EA’s strategic leadership and concrete business impact.

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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO Business Intelligence

Every strategic decision, from customer engagement to AI-driven automation, relies on an organizations ability to manage, process and move vast amounts of information efficiently. However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity.

Strategy 273
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

Cloud 245