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CIO | Middle East  >  Collaboration / teamwork / meeting / planning / strategy
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6 reasons why AI projects fail

Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.

CIO | Middle East  >  Collaboration / teamwork / meeting / planning / strategy

GCC CIOs prioritize optimization over transformation

Tech leaders should think of business outcomes first and technology second, advises Gartner.

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AI, machine vision tech focuses on wooing return shoppers for Gul Ahmed

Machine learning, video analysis helps textile giant attract retail store shoppers and convert them to paying customers.

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10 customer experience strategies IT should target next

CIO are increasingly being asked to help attract, manage and support customers. These technologies and practices can help enhance your company’s CX and fuel revenue for your digital transformation.

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Analytics helps Mercedes-AMG Petronas Motorsport F1 team take pole position

For Mercedes-AMG Petronas Motorsport, data visualization, predictive analytics, and AI were key to winning its fifth consecutive Formula One World Constructor's Championship in 2018.

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IDC MarketScape: Worldwide Enterprise Performance Management Analytic Applications

This IDC MarketScape excerpt on worldwide enterprise performance analytic applications vendors represents an evaluation of 12 EPM software companies using the IDC MarketScape Methodology.

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UNTS focuses on culture, governance to make data work

Drowning in data it couldn't use, the University of North Texas System adopted an ambitious strategy to build a data-driven culture and the ability to apply analytics to every aspect of its operations.

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AI’s top use cases today

Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.

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How to make your own ggplot2 functions

See how easy it is to make your own functions using ggplot2, dplyr, and other tidyverse package functions – without worrying about quoted and unquoted column names! Thanks to the latest version of the rlang package, tidy evaluation is...

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How to use .SD in the data.table package

See how to use the special .SD symbol in the R data.table package.

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Anatomy of an enterprise-scale AI strategy

Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.

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Identifying high-risk patients with predictive analytics

NorthShore University HealthSystem's emergency departments leverage data and predictive analytics to help it determine which chest pain patients should be admitted for observation and which patients can be sent home.

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Data deletion: Your data strategy’s greatest defense

If data is the new oil, safe handling is essential to avoiding the digital equivalent of a toxic spill. It all begins with a strong data deletion policy.

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What is data science? Transforming data into value

Data science is a method for transforming business data into assets that help organizations improve revenue, reduce costs, seize business opportunities, improve customer experience, and more.

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Workforce analytics: Measuring employee productivity in the agile era

CIOs seeking to quantify employee performance and productivity are turning to analytics with business value benchmarks baked in — but can collaboration and agility be accurately gauged?

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What it takes to hire top data science talent

To attract data science talent, you need a sound data strategy and an established data-driven environment in which data scientists can have an impact and do meaningful work.

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Analytics success starts with a center of excellence

Data-driven organizations accelerate data transformation with an analytics COE.

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Get month-over-month comparisons in R

See various ways to calculate month-over-month, week-over-week, and year-over-year comparisons in R using dplyr and lubridate.

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