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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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What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. Having clean and quality data is the most important part of the job, says Kotovets.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

The reasons include higher than expected costs, but also performance and latency issues; security, data privacy, and compliance concerns; and regional digital sovereignty regulations that affect where data can be located, transported, and processed. So we carefully manage our data lifecycle to minimize transfers between clouds.

Cloud 349
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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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The 5 S’s of cyber resilience: How to rethink enterprise data security and management

CIO Business Intelligence

The patchwork nature of traditional data management solutions makes testing response and recovery plans cumbersome and complex. To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance.

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EXL orchestrates AI for real business outcomes

CIO Business Intelligence

While its potential is broad, that makes it difficult to pinpoint its practical applications in specific industries. Without the expertise or resources to experiment with and implement customized initiatives, enterprises often sputter getting projects off the ground. Cost and accuracy concerns also hinder adoption.

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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. If a customer asks us to do a transaction or workflow, and Outlook or Word is open, the AI agent can access all the company data, he says. And thats just the beginning.

CTO Hire 359