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Publication Name: The Practical Quant

Brief description: Musings on Quantitative Finance

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Owner Name: Ben Lorica

Joined: January 22nd, 2012


The Practical Quant wrote a new blog post titled Managing machine learning in the enterprise: Lessons from banking and health care

A look at how guidelines from regulated industries can help shape your ML strategy.By Ben Lorica, Harish Doddi, David Talby.As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring.What cultural and organizational...

The Practical Quant wrote a new blog post titled Tools for machine learning development

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning.By Jenn Webb.In this week's episode of the Data Show, we're featuring an interview Data Show host Ben Lorica participated in for the Software Engineering Daily Podcast, where he was interviewed by Jeff Meyerson. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).Here are a few highlights:Tools for productive collaborationA data catalog, at a high...
(13 days ago)

The Practical Quant wrote a new blog post titled RISELab’s AutoPandas hints at automation tech that will change the nature of software development

Neural-backed generators are a promising step toward practical program synthesis.There's a lot of hype surrounding AI, but are companies actually beginning to use AI technologies? In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. We also found that the level of investment depended on how much experience a company already had with AI technologies, with companies further along the maturity curve planning substantially higher investments. As far as current levels of adoption, the...
(15 days ago)


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.