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

CIO Business Intelligence

By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

Cloud 349
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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. Key capabilities of EXLerate.AI Domain-specific LLMs: EXLerate.AI

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

CIO Business Intelligence

Modern security architectures deliver multiple layers of protection. A zero trust architecture supported by multi-factor authentication (MFA), separation of duties and least privilege access for both machines and roles will help prevent unauthorized users and machines from accessing the environment.

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From vision to action: Huawei’s perspective on accelerating industrial digitalization and intelligence

CIO Business Intelligence

Expectations for AI continue to rise as we move the spotlight from AI application at scale to accelerating towards Artificial General Intelligence (AGI). The threshold for AI application is also gradually decreasing. In 2025, this will manifest in the form of agentic AI, with hopes that it will take GenAI from answers to action.

Industry 130
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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. through 2030 and clearly, data quality and trust are driving that investment.