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Make extraction pay: How can organizations maximize the value of their data and deliver ROI?

CIO Business Intelligence

Recent research by Vanson Bourne for Iron Mountain found that 93% of organizations are already using genAI in some capacity, while Gartner research suggests that genAI early adopters are experiencing benefits including increases in revenue (15.8%), cost savings (15.2%) and productivity improvements (22.6%), on average.

ROI 107
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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How to calculate TCO for enterprise software

CIO Business Intelligence

When organizations buy a shiny new piece of software, attention is typically focused on the benefits: streamlined business processes, improved productivity, automation, better security, faster time-to-market, digital transformation. It can help uncover hidden costs that could come back to bite you down the road.

Software 131
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Strategize, modernize, and lead: Transform your business with application portfolio modernization

CIO Business Intelligence

Furthermore, the growing importance of AI necessitates the modernization of AI models and data pipelines to prevent issues like model drift and bias. A staged approach enables risk mitigation and resource optimization and ensures modernization efforts bolster operational efficiency and competitive advantage.

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Overcome the Challenges of Cloud Optimization & FinOps to Drive Business Value

CIO Business Intelligence

But when not managed strategically in the long run, cloud spending can quickly escalate and impact margins, cost of goods sold (COGS), and cost of revenue (COR). To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps).

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Why Purpose-Built Infrastructure is the Best Option for Scaling AI Model Development

CIO Business Intelligence

Many companies that begin their AI projects in the cloud often reach a point when cost and time variables become issues. That’s typically due to the exponential growth in dataset size and complexity of AI models. “In But as models and datasets grow, there’s a stifling effect associated with the escalating compute cost and time. “But

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Today’s quantum-inspired approaches for ROI

CIO Business Intelligence

ROI becomes a waiting game. What if there was a way to get ROI today and still train the workforce for a quantum tomorrow? Quantum-inspired solutions can train Large Language Models (LLMs) faster and cheaper, provide explainability when making credit decisions, and help spot flaws in production lines.

ROI 52