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Culture key to data-driven transformation at Jefferson Health

When Thomas Jefferson University and Jefferson Health set out create the data-driven health system of the future, its efforts didn't kick into high gear until it figured out how to transform its culture.

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Making the most of your data analytics budget

Analytics investment is on the rise, but results can be elusive. Here’s how orgs are spending on tools and personnel to get the biggest bang for their buck.

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Spring 2019: Humanizing the digital experience

Today's digital business strategies come with a list of enticing expectations: improved efficiency, increased productivity, new revenue streams, to name a few. But organizations are finding that to be successful they need to improve...

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8 key roles of successful AI projects

As enterprises further develop artificial intelligence projects, they are finding that some roles are essential to success. But the right talent can be hard to find.

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Smithfield cloud ERP sows analytics opportunities

Smithfield Foods, purveyor of Nathan’s Famous and other pork product brands, consolidated three ERP systems into one SAP S/4 HANA cloud platform in push to better serve the business.

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For Bayer Crop Science, decision science breeds success

Bayer Crop Science is bringing machine learning and artificial intelligence to every aspect of its business, from logistics to genetic sequencing.

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For Ginnie Mae, data analytics lends disaster relief

Disastrous hurricanes in 2017 spurred the Government National Mortgage Association to develop an analytics dashboard to mitigate loss exposure and forecast the financial impact of future disasters.

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How to write your own R package

When you hear “R package,” you may think something to share with other people. But an R package can also be a good way to organize your own work

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7 projects primed for predictive analytics

The advanced techniques of predictive analytics are becoming widely available, bringing forecasting power within reach of almost any business. Here are key areas where predictive analytics can have an impact.

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Heidelberg data platform transforms the printing press

The 150-year-old company’s interactive digital platform gives its industrial offset press customers real-time access to data about the service and performance status of their print shops.

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9 biggest hurdles to AI adoption

Early adopters are beginning to reap real business results from artificial intelligence implementations. But rolling out an AI initiative isn’t without its challenges.

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Ark's CTO on using big data and analytics to create a world without cancer

In this interview with CIO Asia, Dr Zou Ruiyang, co-founder and Chief Technology Officer (CTO) of Ark, spoke to us about the startup’s leading technology innovation and its diagnostic test development.

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Best business intelligence software 2019

The need to extract meaningful insights from data has never been more necessary. Here, we look at the best BI software.

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A primer for CIOs needing ‘deep learning’ on the benefits on emerging tech

Analytics, machine learning and other emerging technologies are transforming how businesses compete.

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The 11 biggest issues IT faces today

From securing IoT to retraining IT talent to finding new revenue streams, CIOs have more than their share of concerns keeping them up at night.

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Run Python in R code

While R is a useful language, Python is also great for data science and general-purpose computing. See how to run Python code within an R script and pass data between Python and R

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Tableau adds natural language interface, streamlines data prep

With the latest update, Tableau users can type plain English queries to generate data visualizations, further lowering analytics’ barrier to entry

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How McGraw-Hill identifies at-risk students

McGraw-Hill Education is developing a project called Insights to surface data from its AI-based assessment and learning system to help identify students who are struggling and at risk of failing.

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