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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. Using the companys data in LLMs, AI agents, or other generative AI models creates more risk.

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

A tectonic shift was moving us all from monolithic architectures to self-service models and an existential crisis for architecture and IT was upon us. So, what do systems of intelligence mean in terms of the same ecosystem-based players that have plagued IT with vendor lock-in for decades?

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

CIO Business Intelligence

As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. While up to 80% of the enterprise-scale systems Endava works on use the public cloud partially or fully, about 60% of those companies are migrating back at least one system.

Cloud 349
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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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Strategies for telecom executives: navigating the OPEX conundrum

CIO Business Intelligence

Determining what systems to retire, maintain, or invest in lays the foundation for cost reductions and more effective investments. An effective roadmap involves not only evaluating current system architecture, skills availability and cost of ownership, but also considering future business needs.

Strategy 219
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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. edge compute data distribution that connect broad, deep PLM eco-systems.

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TreeHouse Foods’ new enterprise IT strategy drives supply chain success

CIO Business Intelligence

Why is TreeHouse Foods moving from a holding company model into an enterprise model? We’re one of the largest private label companies in North America with 17 different categories of snacks and beverages, and this is a great time to be in the private label business. What advantages does moving to an enterprise model offer?