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R. Guha

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Guha heads Corporate Business Development at Wipro Technologies and is focused on two strategic themes at the intersection of technology and business: cybersecurity framed from a business risk perspective and how to leverage machine learning for business transformation.

Guha is currently leading the development and deployment of Apollo, an anomaly detection platform that seeks to mitigate risk and improve process velocity through smarter detection.

Author's Posts

Four Key Things To Keep In Mind While Leveraging Machine Learning

Posted by: R. Guha | December 13, 2016

Technology is disrupting business processes across industries at an unprecedented and exponential scale, with several business domains now at the tipping point.

Demystifying machine learning black boxes for greater transparency - A case for building causal factor prediction - Part I

Posted by: R. Guha | October 18, 2016

In my previous article, I spoke about how with the mainstreaming of Machine Learning and Deep Learning, it is becoming increasingly difficult to decipher how machines make decisions.

Demystifying Machine Learning Black Boxes For Greater Transparency – A Case For Building Causal Factor Prediction – Part II

Posted by: R. Guha | October 18, 2016

In my previous article, I spoke about how with the mainstreaming of Machine Learning and Deep Learning, it is becoming increasingly difficult to decipher how machines make decisions.

Improved Anomaly Detection By Leveraging ‘Grey Labels’

Posted by: R. Guha | August 09, 2016

In one of my recent papers, titled “Belling Schrodinger’s cat“, I had picked the analogy of Schrodinger’s thought experiment around how it was not possible to conceive.

How Does Machine Learning Improve Fraud Detection And Prevention?

Posted by: R. Guha | October 20, 2015

Big Data techniques can enhance risk management through improved detection of frauds and violations of compliance controls – I spoke about it here earlier.

How to protect your organization’s intellectual property without impacting business efficiency?

Posted by: R. Guha | August 17, 2015

As economies globalize and technology intensity increases, enterprise value shifts from physical assets to intangibles. The largest companies 100 years back were large conglomerates owning sizable factories and an army of workers and managers.

Do we really need powerful robots working the haystack

Posted by: R. Guha | June 03, 2015

While discussing approaches of identifying process discrepancies and detecting fraud, a key question that comes up is around the right approach for proactive fraud control.

Challenges in Proactive Fraud Control

Posted by: R. Guha | May 18, 2015

In the last article, I had spoken about Risk Management as an area of great focus for most organizations with a great deal of energy expended around understanding various risks and mitigating them.

How do we build a genuinely effective early-warning system

Posted by: R. Guha | May 14, 2015

Irrespective of the age or context, the ability to have information in advance is deemed to be of great strategic advantage.This has been true for the Greeks to get forewarned on Xerxes’ plans for invasion

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