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Can AI solve your technical debt problem?

CIO

IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. And that has significant implications for how IT shops can approach technical debt. Enhanced linting.

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A prep checklist for startups about to undergo technical due diligence

TechCrunch

8 questions to answer before your startup faces technical due diligence. Previously, the author offered a detailed overview of the technical due diligence (TDD) process investors conduct before injecting cash into early stage startups. Describe your architecture and provide architectural diagrams.

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

CIO

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. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.

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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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Technical Review: A Trusted Look Under the Hood

TechEmpower CTO

Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. And unless they have a tech background, they can’t look under the hood themselves. The answer is to engage a trusted outside source for a Technical Review – a deep-dive assessment that provides a C-suite perspective.

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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.