Big Data

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Feature

3 fundamentals for supercharging your data strategy

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Feature

AI helps Land O' Lakes churn data into sales

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Feature

6 tools that make data science easier

New tools are bundling data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.

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Transformed by DataBy
IDG Contributor Network

Transforming data with Apache Spark

Spark is the ideal big data tool for data-driven enterprises because of its speed, ease of use and versatility. It will help you understand your data quickly and help you make informed decisions faster.

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Movers and ShakersBy

Companies are gaining clarity about their digital vision

More executive committees say they understand how digital impacts their business strategy.

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Feature

15 best data science bootcamps for boosting your career

Whether you’re a recent grad, seasoned IT pro or someone looking to make a career change, these bootcamps will set you on the right path for a career in data science.

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Feature

Top 14 data engineer and data architect certifications

Data engineers and data architects are in high demand. Here are the certifications that will give your career an edge.

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Transformed by DataBy
IDG Contributor Network

Big data challenges impacting data-driven business goals

IT leaders need to understand the opportunities big data presents so they can overcome the various challenges and remain competitive in the growing data-centric economy.

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The Business of DataBy
IDG Contributor Network

8 factors shaping the future of big data, machine learning and AI

AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need to be aware of.

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Feature

5 ways IBM Cognos Analytics is transforming business

IBM's Cognos Analytics has integrated the artificial intelligence capabilities of IBM Watson Analytics. Here’s how five organizations are using Cognos Analytics to transform their operations.

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Opinion

The 12 dark secrets of data science

From hidden costs to highly suspect conclusions, data science is not without its detractions and limitations — despite the ongoing hype.

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Feature

Anheuser-Busch taps single source for data analytics

The world’s largest brewing giant has a new data management strategy, the main ingredients of which are a single source for data and the cloud.

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Feature

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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Feature

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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Feature

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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Digitally UncensoredBy
IDG Contributor Network

5 reasons why data lakes are vital for startup analytics

Compared to more mature companies, early-stage startups have drastically different analytics needs. Data lake infrastructure can make things easier on them.

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The Business of DataBy
IDG Contributor Network

5 reasons why data-driven innovations fail

Make sure you understand some of the key mistakes that companies make when deploying data-driven products into the market.

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Digitally UncensoredBy
IDG Contributor Network

Overcoming the hype around predictive analytics for better business outcomes

As data-driven solutions become the norm, enterprises need to know exactly what’s going on behind all those buzzwords.

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ITSM & the Digital EnterpriseBy
IDG Contributor Network

The future of big data and AI boils down to one thing

When it comes to big data, analytics and AI, the value does not come from collecting the data, or even from deriving some insight from it — value comes from just one thing: action.

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The Digital Climb In ITBy
IDG Contributor Network

These 3 types of customer data platforms are not one and the same

A true customer data platform must integrate data from across functional and channel-specific silos into a single customer view that is accessible in real-time.

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