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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 How AI and machine learning are improving customer experience

[A version of this post appears on the O'Reilly Radar.]From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.By Ben Lorica and Mike Loukides.What can artificial intelligence (AI) and machine learning (ML) do to improve customer experience? AI and ML already have been intimately involved in online shopping since, well, the beginning of online shopping. You can’t use Amazon or any other shopping service without getting recommendations, which are often personalized based on the vendor’s understanding of...
(5 days ago)

The Practical Quant wrote a new blog post titled Real-time entity resolution made accessible

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies.In this episode of the Data Show, I spoke with Jeff Jonas, CEO, founder and chief scientist of Senzing, a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computing at IBM. Entity resolution (ER) refers to techniques and tools for identifying and linking manifestations of the same entity/object/individual. Ironically, ER itself has many different names...
(10 days ago)

The Practical Quant wrote a new blog post titled It's time for data scientists to collaborate with researchers in other disciplines

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning. As models and algorithms become more widespread, many important considerations are becoming active research areas: fairness and bias, safety and reliability, security and...
(20 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.