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Enter the next phase of Industry 4.0 with edge AI

CIO Business Intelligence

The business world is changing at a rapid pace. Less than 10% of the FTSE 500 companies that existed fifty years ago are still around today and less than half of the companies founded since 2000 are still operating. Aligning modernisation with the firm’s business results and corporate vision is another key factor.

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AI potential meets ROI pragmatism: 3 crucial questions every CIO should ask

CIO Business Intelligence

To do so, we need to first ask ourselves three key questions: Question #1: How will we use AI to meet our specific business objectives? By 2025, IDC expects Global 2000 companies to devote more than 40% of their core IT budgets to AI-related activities , with worldwide AI spending predicted to exceed $500 billion by 2027.

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How IT leaders are driving new revenue

CIO Business Intelligence

“Growth, profitability, productivity, and engagement are all now part of the CIO role that 20 years ago was all about internal operations,” says Herlihy, who has been an IT executive since landing his first CIO position in 2000. Co-creating with their business unit colleagues.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

A shift emerged around 2000 with the initial discussions regarding digital transformation. Slow requirements led technology leaders to demand proactive business intelligence. Organizations began considering information democracy and questioning the cycle time required from report creation to decision making.

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What is COBIT? A framework for alignment and governance

CIO Business Intelligence

Formerly referred to as “enablers” in COBIT 5, these components better define what businesses need for a strong governance system. According to the ISACA, COBIT 2019 best suits clients that use multiple frameworks — such as ITIL, ISO/IEC 2000 and CMMI — with certain silos within IT using their own framework or standard.

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Leveraging data to replace the ‘gut feel’ on which too many business decisions are made enables change practitioners to separate perceptions from reality and decide which processes need the most focus. They also allow you to quantify business value based on improvements and allows you to assign and track key metrics with business objectives.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

To choose the right big data analytics tools, it is important to consider various factors specific to the business. Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool.