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Our popular course Introduction to QuantLib Development will be taking place June 18-20th, 2018.

 
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Publication Name: The Practical Quant

Brief description: Musings on Quantitative Finance

Publication URL: http://practicalquant.blogspot.com/

RSS Feed: link

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Owner Name: Ben Lorica

Joined: January 22nd, 2012

Activity

The Practical Quant wrote a new blog post titled The evolution of data science, data engineering, and AI

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: A special episode to mark the 100th episode.This episode of the Data Showmarks our 100th episode. This podcast stemmed out of video interviews conducted at O’Reilly’s 2014 Foo Camp. We had a collection of friends who were key members of the data science and big data communities on hand and we decided to record short conversations with them. We originally conceived of using those initial conversations to be the basis of a regular series of video interviews. The logistics of studio interviews proved too...
(2 days ago)

The Practical Quant wrote a new blog post titled Companies in China are moving quickly to embrace AI technologies

[A version of this post appears on the O'Reilly Radar.]The O’Reilly Data Show Podcast: Jason Dai on the first year of BigDL and AI in China.In this episode of the Data Show, I spoke with Jason Dai, CTO of Big Data Technologies at Intel, and one of my co-chairs for the AI Conference in Beijing. I wanted to check in on the status of BigDL, specifically how companies have been using this deep learning library on top of Apache Spark, and discuss some newly added features. It turns out there are quite a number of companies already using BigDL in production, and we talked about some of the popular...
(16 days ago)

The Practical Quant wrote a new blog post titled How to build analytic products in an age when data privacy has become critical

[A version of this post appears on the O'Reilly Radar.]Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products.In this post, I share slides and notes from a talk I gave in March 2018 at the Strata Data Conference in California, offering suggestions for how companies may want to build analytic products in an age when data privacy has become critical. A lot has changed since I gave this presentation: numerous articles have been written about Facebook’s privacy policies, its CEO...
(23 days ago)

About:

I am a Senior Researcher in the Market Research Group at O'Reilly Media, Inc., founder of Verisi Data Studio, and an advisor to Yakit. I have applied Business Intelligence, Data Mining and Statistical Analysis in a variety of domains including Financial Engineering, Direct Marketing, Consumer and Market Research, Targeted Advertising, and Text Mining. My background includes stints with an investment management company, internet startups, and financial services. At O'Reilly, I work on custom research and consulting projects, involving all aspects of data intelligence: data acquisition, data transformation and management, analytics, and visualization. In the process, I help companies understand developments in a wide-range of emerging technology topics, including social media, (mobile) application platforms, big data and analytics, and frugal innovation. I remain interested in Quantitative Finance and my musings can be found on my blog The Practical Quant.

An ex-academic, I was an Assistant Professor at U.C. Davis and was the founding Department Chair for Statistics and Mathematics at C.S.U. Monterey Bay. I have been a visiting member of the Mathematical Sciences Research Institute in Berkeley and have taught at U.C. Santa Barbara and the University of the Philippines. I enjoy writing and have written and published on topics ranging from Applied Mathematics and Statistics, Finance, Marketing Research, and Technology.