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Rethinking AI’s Impact on Software Development and Testing

Information Week

Adoption of artificial intelligence isn’t just about learning from customer data or supporting line workers. It’s already making an impact in software development processes.

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AI-native software engineering may be closer than developers think

CIO Business Intelligence

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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CompTIA introduces foundational tech certification

Network World

The Tech+ certification covers basic concepts from security and software development as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Security: Understand confidentiality, integrity, and availability concerns of secure devices and best practice methods.

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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. The future will be characterized by more in-depth AI capabilities that are seamlessly woven into software products without being apparent to end users.

Software 321
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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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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. advertising, marketing, or software development).

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. The shift away from ‘Software 1.0’ where applications have been based on hard-coded rules has begun and the ‘Software 2.0’