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Future of big data analytics: machine data and connected vehicles
If you simply collecting a lot of data, you do not have a big data use case. However you do have a big data use case, if you need to process and analyze the collected data in order to generate greater...
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How to automate bid response systems using predictive analytics
Supplier companies which manufacture commoditized products face constant cost pressures. As a way to separate themselves from the herd, many savvy suppliers are realizing that what may set them apart...
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Predictive analytics: cornerstone of new customer service paradigm
Portions of this article were contributed by Vaibhav Waghmare.
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3 ways predictive maintenance can increase performance and efficiency
This article was contributed by Vaibhav Waghmare.
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7 applications of IoT-connected vehicles which may soon be common
Recently I came across this bit of interesting factoid which went mostly unnoticed by media, because for most people it is not earth-shattering news- "... the operating cost of some robots is now less...
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The intuition behind recommender systems: collaborative filtering
Thanks to Amazon, Netflix and the like, recommender engines have become synonymous with predictive analytics and in many ways are the benchmark indicators of predictive analytics maturity in an...
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Predictive analytics using image analysis can de-commoditize business
You know that predictive analytics has really arrived when there are two articles about it in a single issue of Time magazine (Aug 18, 2014 issue). While it is a rapidly maturing field (according to...
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Collaborative filtering using RapidMiner: user based recommenders
In an earlier article we discussed the overall intuition behind collaborative filtering based recommender systems. In this article we will describe the details behind building one using a popular GUI...
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Future of big data analytics: machine data and connected vehicles
If you simply collecting a lot of data, you do not have a big data use case. However you do have a big data use case, if you need to process and analyze the collected data in order to generate greater...
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Collaborative filtering using RapidMiner: user vs. item recommenders
In a previous article we discussed building user based recommenders in RapidMiner. Before we jump into the next type: item based recommenders, let us try to understand the key differences between the...
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Data and Analytics form 2 of the 4 key pieces in internet of things
This article was contributed by Vaibhav Waghmare.
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Collaborative filtering using RapidMiner: item based recommenders
Continuing along in our series on collaborative filtering, we now turn to item based recommenders. In the second article of the series, we discussed user based recommenders and in the third article we...
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Cost modeling using commodity price forecasting
Commodity price forecasting is an important activity for many different industry verticals. The underlying objective for commodity price forecasting - as with any forecasting activity - is quite...
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Analytics using SQL Server and RapidMiner: set up connections
INTRODUCTION: In this article we will cover the main steps required to connect a datamining tool such as RapidMiner to popular database management systems such as Microsoft SQL Server. We use...
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Critical modeling steps for practical multiple linear regression: Pt 1
Regression models have been around for a couple of centuries now, and yet the utility of the technique is unsurpassed because it is a good candidate for any present day application which requires a...
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How to progress along the analytics maturity model
Today’s business world is filled with opportunities to review the information on the way that business organization, collect, and present information. If you were to evaluate your organization’s...
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Critical model steps for practical multiple linear regression - Pt 2
INTRODUCTION:In the previous post, we described the first couple of steps required for setting up multiple linear regression models for prediction. These steps focused mainly on exploring the...
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Coming soon: IoT analytics - the biggest use case for big data
The most successful companies today are the ones who have acted upon their data assets by leveraging advanced analytics and big data technologies. If you think of Apple, Netflix, Google or FaceBook,...
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Time for small business to embrace machine learning (not fear it)
Steve Ballmer recently came out strongly in favor of machine learning, calling it the next era of computer science. Recently another business legend, Elon Musk, said the rapid pace of developments in...
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Critical model steps for practical multiple linear regression - Pt 3
INTRODUCTION:In the first article of this series, we described the choice of variables for starting a multiple linear regression model. In the second article, we discussed how to build the model and...
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