The Future of Content: Context-Aware, Centralized, and Written by Robots

Content! It’s everywhere! It’s displayed on websites and in apps. It’s streamed to smartphones, televisions, and watches. It’s heard on podcasts, read aloud by voice assistants, and explored in immersive, three-dimensional virtual realities. With so many platforms, how can you keep pace with the rapidly changing landscape of digital experiences and content distribution?

In this session, you’ll learn how media companies, universities, and nonprofits are thriving by adopting platforms built for the future of content. I'lll talk about:

Centralized content management: Collecting, managing, and distributing your content from a single location—and fostering a community of content contributors and app builders.
Context-aware content: Telling the same story using different experiences and devices.
Machine learning: Leveraging artificial intelligence (AI) and natural language processing (NLP) to speed up content production, personalize content, and help us keep our content up-to-date.
Multichannel and omnichannel publishing: Distributing your content to any service or device (think Facebook Instant or Apple TV) with minimal changes.
Decoupling your CMS: Separating the management of content from the presentation of content makes it easier to support new technologies and devices.
Future-proofing your digital experiences: Content forms the basis of digital experiences. We don't need to predict the future, but we DO need to adapt our content to new devices, contexts, and experiences. How can we be prepared for these changes? What ideas should we pursue, and which should we avoid right now?
I'll close with a couple of case studies that demonstrate how Four Kitchens' client partners have prepared themselves for the future of content:

PRI.org: Last year, we helped relaunch a decoupled frontend for Public Radio International's legacy Drupal site.
NBC: We helped relaunch NBC.com, The Tonight Show with Jimmy Fallon, and Saturday Night Live as decoupled Drupal sites with an API that shares content across multiple NBC brands, devices, and apps.
Learning objectives
At the end of this session, attendees will:

(1) Realize the prevalence of machine learning in content generation. AI is currently—right now!—being used by the world's largest news companies and publishers to write content with little or no human intervention. What does this mean for content creators? I'll share a demo of how we can leverage AI to augment, not replace, human creativity.

(2) Be inspired by the many, diverse use cases for creating a robust data model and centralizing content management for distribution to multiple devices (with real-world examples). Attendees can apply the lessons of content modeling to more exotic interpretations of "content," such as 3D assets for VR/AR experiences and 3D-printable schematics.

(3) Be prepared for new methods of content segmentation, monetization, and personalization. How is the fragmentation of streaming video through multiple, paid services like HBO GO, Disney+, and Apple TV analogous to the creation of discrete media consumption streams as demonstrated by the dissolution of iTunes into context-specific apps (Music, TV, Podcasts, etc.). Attendees can then apply these lessons to how they implement Drupal and content management systems in general.

Todd Nienkerk
CEO @ Four Kitchens

https://www.midcamp.org/2020/topic-proposal/future-content-context-aware-centralized-and-written-robots