The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.
Ben Lorica is the Chief Data Scientist at O'Reilly Media, Inc. and is the Program Director of both the Strata Data Conference and the Artificial Intelligence Conference. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.
Speech adds another level of complexity to AI applications—today’s voice applications provide a very early glimpse of what is to come.
The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business.
Interest in PyTorch among researchers is growing rapidly.
The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data.
A look at how guidelines from regulated industries can help shape your ML strategy.
Neural-backed generators are a promising step toward practical program synthesis.
As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use.
To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce.
The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models.
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge.
We now are in the implementation phase for AI technologies.
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data.
The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China.
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms.
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future.
The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies.
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms.