Chris Fregly explores an often-overlooked area of machine learning and artificial intelligencethe real-time, end-user-facing "serving layer in hybrid-cloud and on-premises deployment environmentsand shares a production-ready environment to serve your notebook-based Spark ML and TensorFlow AI models with highly scalable and highly available robustness.

Wojciech Biela and ukasz Osipiuk offer an introduction to Presto, an open source distributed analytical SQL engine that enables users to run interactive queries over their datasets stored in various data sources, and explore its applications in various big data problems.

Ready to dip your toe into data science? Va Barbosa explains why you should start with notebooks and PixieDust, a new open source library that helps data scientists and developers working in the Jupyter Notebook and Apache Spark be more efficient.

For years, REST has been the standard architecture for APIs. But a new technology is emerging, one that's perfect for developing rich, client-friendly APIs: GraphQL. David Celis and Garen Torikian explain why this query language is being adopted by companies like Shopify, Pinterest, and GitHub and show you how you can leverage GraphQL for your own APIs.

From the moment you create your Twitter bio, write your first blog post, or share your first Facebook article, you are building your brand. It can be daunting, but if you proactively manage your brand, you can get ahead of the curve and put the content you care about in front of the public eye. Neha Batra explains how to create a strategy that works for you and grow your brand from it.

Dion Stewart offers an overview of user story mappinga technique for improving product delivery by keeping development focused on usersusing annotating user journeys, which help architects design elegant systems by ensuring the needs of the user experience are met and using the user experience to inform architectural decisions.

The internet is becoming the worlds largest source of CO2 emissions. 560,000 agencies around the world make daily design decisions on behalf of their clients, directly impacting internet sustainability. Tim Frick explains how to apply sustainability principles to the process of designing digital products and services, helping you make better decisions on behalf of people and the planet.

Within four years, Atlassian's design team has increased from 6 designers to 126. Building and managing a design team of this size is one thing; integrating it into a traditionally engineering-led organization is another. Alastair Simpson shares how Atlassian has successfully embraced design as a first-class discipline and is transitioning from an engineering- to an experience-led company.

As the move to establish in-house design teams accelerates, there's very little common wisdom on what makes for a successful design organization. Design requires not just process and methods but savvy with organizational and operational matters. Kristin Skinner shine a light on the unsung activities of actually running a design team, exploring what works and what doesn't.

The future of enterprise design is one where users have a strong connection with the brand of the products they are using. At the same time, future enterprise products will make you feel closer to your coworkers, even as teams become more distributed across the globe. Amanda Linden explains what your product team should prioritize and how to ensure your user experience investments are successful.

War stories about contextual user research and the inevitable mishaps that ensue are in turn bizarre, comic, tragic, and generally astonishing. Steve Portigal shares some of the best stories he's collected, examining the patterns and lessons they reveal.

When building your data stack, architecture could be your biggest challengeyet it could also be the best predictor for success. With so many elements to consider and no proven playbook, where do you begin when assembling a scalable data architecture? Ben Sharma shares real-world lessons and best practices to get you started.

Rodrigo Fontecilla explains how many of the largest airlines use different classes of machine-learning algorithms to create robust and reusable predictive models to provide a holistic view of operations and provide business value.

Teradata joined the Presto community in 2015 and is now a leading contributor to this open source SQL engine, originally created by Facebook. Join Kamil Bajda-Pawlikowski to learn about Presto, Teradata's recent enhancements in query performance, security integrations, and ANSI SQL coverage, and its roadmap for 2017 and beyond.

James Bradbury offers an overview of PyTorch, a brand-new deep learning framework from developers at Facebook AI Research that's intended to be faster, easier, and more flexible than alternatives like TensorFlow. James makes the case for PyTorch, focusing on the library's advantages for natural language processing and reinforcement learning.

How do we know that an advertisement or promotion truly drives incremental revenue? Michelangelo D'Agostino and Bill Lattner share their experience developing machine-learning techniques for predicting treatment responsiveness from randomized controlled experiments and explore the use of these persuasion models at scale in politics, social good, and marketing.

Peng Du and Randy Wei offer an overview of Ubers data science workbench, which provides a central platform for data scientists to perform interactive data analysis through notebooks, share and collaborate on scripts, and publish results to dashboards and is seamlessly integrated with other Uber services, providing convenient features such as task scheduling, model publishing, and job monitoring.