The deployment of big data tools is being held back by the lack of standards in a number of growth areas.
New survey results highlight the ways organizations are handling machine learning's move to the mainstream.
These studies provide a foundation for discussing ethical issues so we can better integrate data ethics in real life.
We can build a future we want to live in, or we can build a nightmare. The choice is up to us.
Five framing guidelines to help you think about building data products.
Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations.
Simulate new business models and practices with open source code.
Working with uncertainty in real-world data.
Wayne Carter and Ali LeClerc show you how to build a mobile app that has a consistent user experience, both online and offline.
Machine learning to generate attack data and improve security analytics.
An efficient, fast, and repeatable selection method that works on very large data sets.
Max Shron and Sasha Laundy explore tactics for need-finding and problem scoping that make it possible to put investments in data to profitable use.