Benedict Evans talks about how interfaces and development opportunities are evolving beyond the old "Web versus apps" model, with voice, bots, and many other things emerging as new models.

Voice assistants like Amazon's Alexa have become compelling platforms for bot creators, and voice will become an essential part of any bot creator's toolkit as APIs for Siri, Cortana, and Google Now become available. However, translating functionality into voice user interfaces can be extremely difficult. We've invited Cathy Pearl, an authority on VUI design, to give an overview of the field.

Matt Rogish explains how NTSB investigations of air disasters have dramatically improved flight safety and applies lessons learned in disaster recovery and analysis, teamwork, task saturation, and systems design to modern software application and infrastructure architecture at scale to achieve higher availability, reduced errors, and more scalable systems.

Gabrielle Crevecoeur dives into the world of NodeBots. Using Node.js, the Johnny-Five framework, and an Arduino, Gabrielle walks participants through creating a bot, step by step. Although the NodeBot you build will respond to voice recognition, you'll leave able to create NodeBots with any functionality you like.

Machines are not objective, and big data is not fair. Michael Williams uses sentiment analysis to show that supervised machine learning has the potential to amplify the voices of the most privileged people in society, violate the spirit and letter of civil rights law, and make your product suck.

Multiscreen experiences are powerful; we now divide our time between different devices based on context. At the same time, conversational assistants have evolved to be quite usable. But were just beginning to see how one assistant might work across an ecosystem of devices. Karen Kaushansky explores the future of designing with voice across multiple devices.