Analytics

Analytics news, information, and how-to advice

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R tip: How to create easy interactive scatter plots with taucharts

In this first episode of Do More with R, Sharon Machlis, director of Editorial Data & Analytics at IDG Communications, demonstrates how easy it is to use the R language to create an interactive scatter plot with multiple trendline...

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Big data + AI: Context, trust, and other key secrets to success

Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time

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Review: Amazon SageMaker scales deep learning

AWS machine learning service offers easy scalability for training and inference, includes a good set of algorithms, and supports any others you supply

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The era of the cloud database has finally begun

Enterprises are waking up to discover that their database needs have changed dramatically—and that the old-school RDBMS is no longer the best tool

Ken Mingis Tech Talk
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Watch Tech Talk on May 17 for an in-depth GDPR discussion

The GDPR deadline is coming up fast, and most businesses in the U.S. aren’t ready yet. Join Ken Mingis and his panel of experts as they discuss the impact of the new rules and what U.S. organizations must do now to protect customer...

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Solidifying security analytics with artificial intelligence knowledge graphs

AI knowledge graphs can augment security analytics by linking knowledge together to pinpoint relationships and patterns related to security issues pertinent to an organization

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What’s new in TensorFlow machine learning

Google’s TensorFlow 1.8 machine learning library adds improved support for Google Cloud TPUs and prefetching to GPU memory

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Answering the need for speed and scalability: the state of in-memory computing

Mature, cost-effective solutions are powering today’s digital transformation and omnichannel customer experience initiatives

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Making sense of application data management

Business solutions start with clear definitions of data

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TigerGraph: The parallel graph database explained

How TigerGraph achieves fast data ingest, fast graph traversal, and deep link analytics even for large data sets

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These new BI tools bridge the gap between analytics and modern applications

Emerging BI tools let developers be developers, without having to slow down to bother with the data silos they leave in their wake

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Monetizing your models with machine learning solutions

Connecting the business user to the science is a necessary step for companies looking to extend their leadership position

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6 hidden bottlenecks in cloud data migration

From navigating cloud storage options to verifying the data post-transfer, follow these steps to avoid the hazards of cloud migration

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3 requirements of modern archive for massive unstructured data

As the nature and scale of enterprise data changes, secondary storage—especially archive—becomes a huge opportunity to add value to organizational data

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‘To supervise or not to supervise’ is a question at the heart of machine learning

A guide to unsupervised and supervised machine learning and understanding their application by businesses today

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Moving your data analytics to the cloud isn’t so easy

If you dream of modernizing data warehouses—and data marts—in the new platform of the cloud, watch out: It’s not as easy as you might think

App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev

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Demystifying machine learning

Businesses need more than a machine learning engine or framework to successfully extract the valuable and actionable insights from their data—and not all machine learning solutions are created equal

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