From smart cities to intelligent societies
Carme Artigas asks: Are innovations like autonomous vehicles and flying drones making our societies more intelligent?
Our take on the ideas, information, and tools that make data work.
Carme Artigas asks: Are innovations like autonomous vehicles and flying drones making our societies more intelligent?
Amr Awadallah explains the historic importance of the next wave in automation.
Ajey Gore looks at how the impossible can be made possible with technology and data insights.
Tony Lee outlines the unique big data and AI challenges JD.com is tackling.
Kira Radinsky describes a system that mines medical records and Wikipedia to reduce spurious correlations and provide guidance about drug repurposing.
Watch highlights covering machine learning, smart cities, automation, and more. From Strata Data Conference in Singapore 2017.
Pascale Fung explains how emotional interaction is being integrated into machines.
The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement.
Melanie Johnston-Hollitt discusses a radio telescope project that will produce data on a scale that dwarfs most big data efforts.
Cesar Delgado joins Mick Hollison to discuss how Apple is using its big data stack and expertise to solve non-data problems.
Steve Leonard explores how Singapore is bringing together ambitious and capable people to build technology that can solve the world’s toughest challenges.
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
Joshua Bloom explains why the real revolution will happen—in improved and saved lives—when machine learning automation is coupled with industrial data.
Bruno Fernandez-Ruiz discusses the tradeoffs we make to ensure safer transportation.
The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap.
The O’Reilly Data Show Podcast: David Talby on a new NLP library for Spark, and why model development starts after a model gets deployed to production.
Multi-model database architectures provide a flexible data governance platform
The O’Reilly Data Show Podcast: Rhea Liu on technology trends in China.
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models.
Applying methods from Agile software development to data science projects.
The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future.
Robin Thottungal discusses the EPA's digital transformation and how it's leading to a better understanding of the interdependencies between our air, water, land, and public health.
Tanvi Singh asks: Do long-standing, non-Internet companies have the evidence-driven culture and platforms needed to get benefits from big data tools?
Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling