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Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. Business objectives must be articulated and matched with appropriate tools, methodologies, and processes.

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Balancing the costs and opportunities of GenAI adoption

CIO Business Intelligence

CIOs, therefore, need a clear strategy for aligning GenAI investments with organizational capabilities and business objectives to justify both current spending and future growth. Engage stakeholders: Work with finance and operations teams to align on budgets, shared goals, and success metrics.

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How to improve your finance operation’s efficiency with generative AI

IBM Big Data Hub

While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to business objectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.

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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

Even though the AI hype cycle appears to be fading, it’s still clear that the unglamorous field of artificial intelligence applied to enterprise software will be the most consequential technology change in business computing since the 1990s. This can save budget owners time and shorten planning cycles.

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NaaS and the “Experience Economy”

CIO Business Intelligence

Organizations should embrace value-based decision making that focuses on the business objectives and that benefits for the various stakeholders (technology, operations, procurement, finance, security, data analytics, environment, etc.) The traditional method of purchasing based on price and product features is outdated.