The unstoppable rise of white box data
Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model.
Data
Our take on the ideas, information, and tools that make data work.
Privacy, identity, and autonomy in the age of big data and AI
Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination.
Sustaining ML in the enterprise
Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning.
Finding your North Star
Cait O’Riordan discusses the North Star metric the Financial Times uses across the organization to drive subscriber growth.
The enterprise data cloud
Mick Hollison describes why hybrid and multi-cloud is the future for organizations that want to capitalize on machine learning and AI.
Making the future
James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.
Making data science useful
Cassie Kozyrkov explains how organizations can extract more value from their data.
Highlights from the Strata Data Conference in London 2019
Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more.
Why companies are in need of data lineage solutions
The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms.
Strata San Francisco, 2019: Opportunities and Risks
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data.
What data scientists and data engineers can do with current generation serverless technologies
The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.
Highlights from the Strata Data Conference in San Francisco 2019
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.
Likewar: How social media is changing the world and how the world is changing social media.
Peter Singer explores the new rules of power in the age of social media and how we can navigate a world increasingly shaped by "likes" and lies.
Chatting with machines: Strange things 60 billion bot logs say about human nature
Lauren Kunze discusses lessons learned from an analysis of interactions between humans and chatbots.
Data warehousing is not a use case
Google BigQuery co-creator Jordan Tigani shares his vision for where cloud-scale data analytics is heading.
Winners of the Strata Data Awards 2019
The Strata Data Award is given to the most disruptive startup, the most innovative industry technology, the most impactful data science project, and the most notable open source contribution.
Hacking the vote: The neuropolitical universe
Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections.
The enterprise data cloud
Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.
Forecasting uncertainty at Airbnb
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform.
It’s time for data scientists to collaborate with researchers in other disciplines
The O’Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.
AI and cryptography: Challenges and opportunities
Shafi Goldwasser explains why the next frontier of cryptography will help establish safe machine learning.
Scoring your business in the AI matrix
Jed Dougherty plots AI examples on a matrix to clarify the various interpretations of AI.
Streamlining your data assets: A strategy for the journey to AI
Dinesh Nirmal shares a data asset framework that incorporates current business structures and the elements you need for an AI-fluent data platform.
The journey to the data-driven enterprise from the edge to AI
Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data.