Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security.
In an era where fake news travels faster than the truth, our communities are at a critical juncture.
An outside-the-box exploration of how containers can be used to provide novel solutions.
The O’Reilly Data Show Podcast: Jesse Anderson and Paco Nathan on organizing data teams and next-generation messaging with Apache Pulsar.
A look the various ways the IoT asks consumers to think like programmers, and the risks inherent in exponentially increasing educators.
How to enable non-programmer business users to create their own data applications.
The O’Reilly Programming Podcast: How to build evolvable systems.
A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
Comcast’s system of storing schemas and metadata enables data scientists to find, understand, and join data of interest.
In the software world, we’re often ignorant of the harms we do because we don’t understand what we’re working with.
Jody Medich takes a look at our rapidly dematerializing world.
The 80+ sessions covering web performance, security, and accessibility at Fluent 2018 won’t make building for the web easy, but they’ll definitely make it easier.
Systems and site reliability engineers, architects, and application developers must create new strategies to meet industry shifts and their constraints.
User experience designers have an opportunity to empower people to take control of their privacy.
The O’Reilly Data Show Podcast: Ameet Talwalkar on large-scale machine learning.
Utilizing machine intelligence to facilitate proactive cybersecurity operations.
The AI Conference in NY will feature tutorials, conference sessions, and executive briefings to help business leaders understand and plan for AI technologies.
Eric Colson explains why companies must now think very differently about the role and placement of data science in organizations.
Seth Stephens-Davidowitz explains how to use Google searches to uncover behaviors or attitudes that may be hidden from traditional surveys.
Ajey Gore explains why GO-JEK is focusing its attention beyond urban Indonesia to help people across the country’s rural areas.
Using silly data sets as examples, Janelle Shane talks about ways that algorithms fail.
William Vambenepe walks through an interesting use case of machine learning in action and discusses the central role AI will play in big data analysis moving forward.
Anoop Dawar shares principles successful companies are using to inspire an insight-driven ethos and build data-competent organizations.
A look at UX challenges in designing predictive machine learning devices and services.
The O’Reilly Programming Podcast: Containers, orchestrators, and new projects.
Why stateful services are an important part of the future of containers and microservices in the enterprise.
How to find promising candidates for upskilling within your organization.
This collection of DevOps resources will get you up to speed on the basics, best practices, and latest techniques.
Watch highlights covering machine learning, business intelligence, data privacy, and more. From the Strata Data Conference in San Jose 2018.
Tobias Ternstrom explains why you should objectively evaluate the problem you're trying to solve before choosing the tool to fix it.
Dinesh Nirmal explains how real-world machine learning reveals assumptions embedded in business processes that cause expensive misunderstandings.
Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products.
Li Fan shows how Pinterest is using AI to predict what’s in an image, what a user wants, and what they’ll want next.
Natalie Evans Harris discusses the Community Principles on Ethical Data Practices (CPEDP), a code of ethics for data collection, sharing, and utilization.
Nancy Lublin and Bob Filbin explore findings from crisis data.
Alex Smola shares lessons learned from AWS SageMaker, an integrated framework for handling all stages of analysis.
Build a more scalable, composable, and functional architecture for interconnecting systems and applications.
Why we're taking the AI Conference to Beijing.
The top 5 ways to immerse yourself in deep learning and MXNet.
Get instructor-led training in Python, Go, React, Agile, data science, and many other topics.
The O’Reilly Data Show Podcast: Ofer Ronen on the current state of chatbots.
A product manager's guide to employing data as a feature.
New tools help organizations give learners what they need, when they need it.
Leveraging the potential of AI to gain maximum ROI.
The O’Reilly Data Show Podcast: Danny Lange on how reinforcement learning can accelerate software development and how it can be democratized.
How to bring sustainability principles to the process of design.
Get a basic overview of microservices and then go deeper with recommended resources.
Kevin Stewart explores the people, processes, and cultural aspects that complement the cloud-native computing stack.
Andrew Hately says enterprises must adopt a collaborative culture to truly exploit continuous-deployment workflows.
Adrian Cockcroft outlines the architectural principles of chaos engineering and shares methods engineers can use to exercise failure modes in safety and business-critical systems
A look at the stages of designing an API and service.
A comparison of the accuracy and performance of Spark-NLP vs. spaCy, and some use case recommendations.
A step-by-step guide to building and running a natural language processing pipeline.
A step-by-step guide to initialize the libraries, load the data, and train a tokenizer model using Spark-NLP and spaCy.
A look at the new streaming SQL engine for Apache Kafka.
Attend a day-long exploration of Jupyter's best practices and practical use cases in business and industry.
Watch highlights covering the latest tools and techniques of software architecture. From the O'Reilly Software Architecture Conference in New York 2018.
Chris Richardson explains why events are a key application integration mechanism and how they're used by applications to communicate with the outside world.
Jago Macleod shares recent work that lets users extend the Kubernetes API with custom resources and controllers.