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10 AI strategy questions every CIO must answer

CIO Business Intelligence

To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies. So the organization as a whole has to have a clear way of measuring ROI, creating KPIs and OKRs or whatever framework theyre using. What ROI will AI deliver?

Strategy 141
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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow. However, we might expect to see a more nuanced approach to calculating ROI in the coming year. Part of the problem is the lack of common standards for measuring returns.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

Or even better: “Which marketing campaign that I did this quarter got the best ROI, and how can I replicate its success?”. Giving the most ROI? You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis.

IT 317
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Top 5 Statistical Techniques in Python

Sisense

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. Leveraging mathematical and statistical methods, quantitative models evaluate risk by analyzing various factors, including market trends, volatility measures, and asset correlations.

ROI 97
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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Product recommendations are easy; nobody is injured if you recommend products that your customers don’t want, though you won’t see much ROI.

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Before any serious data analysis can begin, the scale of measurement must be decided for the data as this will have a long-term impact on data interpretation ROI. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Variables are exclusive and exhaustive.