The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis.
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.
Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning.
How companies in Europe are preparing for and adopting AI and ML technologies.
The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit.
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.
The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies.
The program for our Artificial Intelligence Conference in New York City will showcase tools, best practices, and use cases from companies leading the way in AI adoption.
How new developments in automation, machine deception, hardware, and more will shape AI.
From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data.
The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China.
We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline.
When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude.
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.