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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

The traditional software development life cycle (SDLC) is fraught with challenges, particularly requirement gathering, contributing to 40-50% of project failures. These challenges persist because companies still rely on traditional SDLC management methods, which can result in slow, error-prone processes.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]

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Is it worth measuring software developer productivity? CIOs weigh in

CIO Business Intelligence

At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

According to research from NTT DATA , 90% of organisations acknowledge that outdated infrastructure severely curtails their capacity to integrate cutting-edge technologies, including GenAI, negatively impacts their business agility, and limits their ability to innovate. [1]

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Safeguarding Ethical Development in ChatGPT and Other LLMs

SecureWorld News

This first installment is "Safeguarding Ethical Development in ChatGPT and Other LLMs through a Comprehensive Approach: Integrating Security, Psychological Considerations, and Governance." Why should AI get a pass on S (Secure) SDLC methodologies? People/consumers drive development, not developers.