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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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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

Indeed, more than 80% of organisations agree that scaling GenAI solutions for business growth is a crucial consideration in modernisation strategies. [2] The Software Development Life Cycle (SDLC) will be redefined and various job roles will merge into a unified, frictionless workbench of expert creation.

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How G-Research Used TuringBots To Transform Software Development

Forrester IT

Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC). As we outlined in previous research, Generative AI assistants known as TuringBots can serve as powerful tools to address some of the broader software development challenges.

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Beyond DevSecOps: Why fintech companies need to consider DevSecRegOps

CIO Business Intelligence

As the vice president of enterprise architecture and technology strategy at Discover Financial Services, I think about this question often as we work to design our tech stack. As a practice, DevSecOps is a way to engrain practices in your SDLC that ensures security becomes a shared responsibility throughout the IT lifecycle.

Company 361
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3 ways CIOs are leading the way to an AI-enabled enterprise

CIO Business Intelligence

And they see the big picture across the enterprise and how AI fits into its overall modernization and transformation strategies. CIOs are ideally suited and well-positioned for the challenge because they understand the complex interplay of technologies involved.

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

Most enterprises are committed to a digital strategy and looking for ways to improve the productivity of their workforce. Development teams also often experience bottlenecks that prevent smooth workflows, adds Gibson, including intricate code, complex architecture, or insufficient automation and testing.

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Three Aspects of Enterprise Architecture Governance

Future of CIO

Differentiation of the various "types" of governance * Enterprise Architecture governance deals with how the architecture is developed, managed, shared, monitored, verified, updated, version management, checked for standards compliance, etc. - The same relations are between EAG and EA Frameworks.