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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. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

What we consistently overlooked were the direct and indirect consequences of disruption to business continuity, the challenges of acquisitions and divestitures, the demands of integration and interoperability for large enterprises and, most of all, the unimpressive track record for most enterprise transformation efforts.

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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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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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EXL orchestrates AI for real business outcomes

CIO Business Intelligence

Without the expertise or resources to experiment with and implement customized initiatives, enterprises often sputter getting projects off the ground. Reliable large language models (LLMs) with advanced reasoning capabilities require extensive data processing and massive cloud storage, which significantly increases cost.

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How CareSource ditched its data silos

CIO Business Intelligence

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

Data 235
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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

The coup started with data at the heart of delivering business value. Lets follow that journey from the ground up and look at positioning AI in the modern enterprise in manageable, prioritized chunks of capabilities and incremental investment. Data trust is simply not possible without data quality.