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How G-Research Used TuringBots To Transform Software Development

Forrester IT

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. Specifically they help to automate a wide range of tasks throughout the software development life cycle (SDLC).

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Unlocking the potential of generative AI in the software development life cycle

CIO Business Intelligence

Generative AI is poised to redefine software creation and digital transformation. The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. It’s time we demand a shift in our approach to the SDLC.

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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] 3] Looking ahead, GenAI promises a quantum leap in how we develop software, democratising development and bridging the skill gaps that hold back growth.

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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. At the same time, developers are scarce, and the demand for new software is high. Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Open source dependency debt that weighs down DevOps As a software developer, writing code feels easier than reviewing someone elses and understanding how to use it. Options to reduce data management debt include automating tasks, migrating to database as a service (DbaaS) offerings, and archiving older datasets.

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What executives should know about CNAPP

CIO Business Intelligence

First termed in the Gartner Hype Cycle for Cloud Security, 2021, a cloud-native application protection platform (CNAPP) is, as the name implies, a platform approach for securing applications that are cloud-native across the span of the software development lifecycle (SDLC) of the applications. How did It originate?

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Need for Speed Drives Security-as-a-Service

CIO Business Intelligence

In fact, 42% of SECaaS adopters in F5’s 2023 State of Application Strategy survey cited speed as the main driver. The “trust nothing, verify everything” approach can be applied throughout the software development lifecycle and extended to areas like IT/OT convergence. Zero Trust

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