[A] provides quality instruction to benefit learners. If not 100% satisfied with the [A]cademy, request a full refund at learning@simplea.com within 30 days of course release.

For enterprise teams training five (5) or more learners, contact learning@simplea.com to ask about bulk course discounts.

Through the 11 modules, you learn the principles of content intelligence. These insights equip you to stand out above the competition.

This course is ideal for any role in digital marketing, content marketing, content architecture, customer service, or customer success. Your title likely includes director or manager, or you’re another digital professional managing mountains of content on a regular basis. Whether you’re established in your career or ready for a transition, this course gives you the insights needed to be an industry leader.

This course isn’t a good fit for organizations with only one or two channels and no content diversity. It’s also not meant for c-suite, executives, or senior leaders (Click here for our short course for executives). This content is meant to help those on the ground accelerate their success.

 Introduction to Content Intelligence

Introduce why Content Intelligence is needed, reviewing a vivid picture of the current state of content affairs and why this needs to change.

The Anatomy of a Content Intelligence Program

Introduce the key concepts underlying content intelligence, including the definitions of content, intelligent content, and content intelligence itself. The session will cover the main practices that work together to make content intelligence a reality: content strategy, content engineering, and content operations.

The Architecture of a Content Intelligence System

Introduce the concept of a Content Intelligence System and the architecture associated with it. The Content Intelligence Framework will be used as a way to introduce and define key supporting concepts, including content structure, content semantics, content technology, content lifecycle, content ecosystem, and content experience.

Introduction to Content Engineering

Introduce the activities associated with the practice of Content Engineering and the skills required of people who will undertake those activities. Whereas all activities associated with Content Strategy, Engineering, and Operations are new to most organizations, it is the near complete absence of content engineering skills that has hampered past attempts to modernize content operations. The application of engineering disciplines to the design and development of content models and processes, to maximize automation, is radically new. Some of the skills are: content analysis, content modeling, content process design, content technology acquisition (selection and development), content transformation and migration, content validation, content analytics, semantic analysis, semantic modeling, semantic + metadata enrichment, and content architecture definition and documentation.

Introduction to the Master Content Model®

Introduce the Master Content Model® (MCM) and emphasize its simplicity and its practical usefulness in organizing content analysis and design activities. This session will break down and define the key pieces of an MCM.

The Master Content Model® in Practice

Illustrate how the MCM is implemented in practice. This session will focus on the Content Type Definition worksheets and show how the content analysis and modelling activity is turned into a practical task that people can master easily.

The Relationship Between Structure and Semantics

Introduce the differences between content structure and content semantics, as well as the ways in which the two work together to create intelligent content. As part of this effort, a practical way of understanding and working with metadata will also be introduced.

The Master Semantic Model in Practice

Introduce what makes up a Master Semantic Model (MSM), what steps are taken to produce one, and how an MSM is used to create a Master Metadata Model that integrates metadata into the MCM. Illustrate how the Master Metadata Model is used as part of the Content Type Definitions, where metadata fields are specified for each content type along with the different ways those fields may be represented.

The Role of Open Content Standards

Introduce the role of open content standards in realizing intelligent content within an enterprise content ecosystem. This role is essentially that of being a pivot point between all of the different format representations that content may need to be given. Open content standards have the further advantage of being explicitly designed for automated processing, and this can be used to apply enhanced quality assurance and localization services.

Content Intelligence in Action: Recent Client Experiences

Provide a walkthrough of different client projects where the MCM and supporting content technologies and standards (including DITA) have been leveraged to address important aspects of content intelligence. The opportunity will be taken to speak to the benefits being sought (and/or realized) in these projects.

Operationalizing Content Intelligence

Introduce the organizational investments needed to make intelligent content and content intelligence a part of day-to-day operations within an organization. Some of the implementation, sustainment, and oversight functions of content operations will be touched upon, as well as the people and politics side of a successful content intelligence program.

[A]’s training team has crafted a video-learning course based on the inaugural [A] Content Intelligence Forum. The course features material on the [A] Content Intelligence Framework, the Content Services Organization, the Master Content Model®, architectural patterns, content supply chain dynamics, and new Content Operating Models.

No. Content Intelligence shows you how to get content to explicitly represent its meaning so machines can use it better for humans. Unlike AI, we start with the content first, then use AI or machine learning to accelerate effectiveness.