Remove Applications Remove Enterprise Systems Remove Software Development
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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.

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5 top business use cases for AI agents

CIO Business Intelligence

In a report released in early January, Accenture predicts that AI agents will replace people as the primary users of most enterprise systems by 2030. Still, enterprises are already reporting success deploying AI agents for several use cases. The top use case for AI agents was software development, cited by 87% of respondents.

CTO Hire 359
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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.

Software 321
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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

Later, as an enterprise architect in consumer-packaged goods, I could no longer realistically contemplate a world where IT could execute mass application portfolio migrations from data centers to cloud and SaaS-based applications and survive the cost, risk and time-to-market implications.

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3 commandments that should drive every API strategy

CIO Business Intelligence

In the early 2000s, companies like Amazon, eBay, and Salesforce drove a trend toward standardizing interfaces among web applications. The result was a complete overhaul of how applications were developed and integrated, thanks to a growing network of open web APIs that anyone could consume.

Strategy 345
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What the democratization of software development means for organizations

Trends in the Living Networks

Low-code and no-code software development have been around for a while. Now the rise of AI-assisted software development is pushing the power of software creation to the next level. The communication gap between what a user needs and the developer is a massive inefficiency.

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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

A contrasting study by Qlik indicates that 21% of enterprises face real challenges with AI due to lack of trusted data for AI applications , highlighting the need for reliable data platforms. According to CRN, approximately 53% of enterprises identify customer service chatbots as their top genAI priority.