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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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

CIO Business Intelligence

Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. Around the AI service, you need to build a solution with an additional 10 to 12 different cloud services that fulfill the needs of an enterprise system.

Cloud 349
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Strategies for telecom executives: navigating the OPEX conundrum

CIO Business Intelligence

This balancing act is especially difficult in a capital-intensive industry like telecom, where infrastructure investments and IT systems are crucial for ongoing operations. In this post, well examine the key drivers behind OPEX pressures in telecom and how to navigate them with greater confidence.

Strategy 219
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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

What began with chatbots and simple automation tools is developing into something far more powerful AI systems that are deeply integrated into software architectures and influence everything from backend processes to user interfaces. An overview. This makes their wide range of capabilities usable.

Software 321
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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

To remedy this, significant investments were made in data science and machine learning without a deeper understanding of the how to aggregate and abstract the data first in an aggregated platform. through 2030 and clearly, data quality and trust are driving that investment.

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At Black & Veatch, a new IT operating model enables digital opportunities

CIO Business Intelligence

They also need to understand the security landscape and protocols we are using and inform the business of the new enterprise systems. How would you describe your target architecture? This platform architecture allows us to do three things quickly: sense, decide, and act.