When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude.
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.
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
Considerations for a world where ML models are becoming mission critical.
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness.
The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers.
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
Ben Lorica and Roger Chen provide a glimpse into tools and trends poised to accelerate AI innovation.
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning.
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
Ray is beginning to be used to power large-scale, real-time AI applications.
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
New survey results highlight the ways organizations are handling machine learning's move to the mainstream.
The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning.
The program for our Artificial Intelligence Conference in London is structured to help companies that are still very much in the early stages of AI adoption.
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations.