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How employers can inspire software developers

CIO Business Intelligence

Software developers are in demand. They must be developer-friendly because software development is not a traditional 9-to-5 job. Transparency plays a key role here: Decisions must be documented and clearly communicated to ensure accountability.

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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.

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Beyond the hype: 4 use cases that show what’s actually working with gen AI

CIO Business Intelligence

According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service. Use case 2: software development PGIM also uses gen AI for code generation, specifically using Github Copilot.

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5 top business use cases for AI agents

CIO Business Intelligence

Software development and IT Cognition released Devin, billed as the worlds first AI software engineer, in March last year. But there are already some jobs specifically in the software development lifecycle poised to be aided by AI agents. That adds up to millions of documents a month that need to be processed.

CTO Hire 359
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The early returns on gen AI for software development

CIO Business Intelligence

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others. One example is with document search and summarization.

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

CIO Business Intelligence

This trend towards natural language input will spread across applications, making the UX more intuitive and less constrained by traditional UI elements. Traditionally, such an application might have used a specially trained ML model to classify uploaded receipts into accounting categories, such as DATEV.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digital transformation initiative. Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture.