4. Complexity of Managing and Delivering Content
THOUSANDS,
MILLIONS, BILLIONS
OF WORDS
HUNDREDS
OF
LANGUAGES
PERSONAL
24/7
24/7
ACCESS
MULTI-
CHANNEL
BUSINESS CONTENT
• Marketing Content
• Product Launch
Materials
• Rich Media
• Customer Service /
User Support
• Intelligence
• Regulated Content
• Technical Content
DELIVERY CHANNELS
• Websites
• Mobile
• Applications
• Social Media
• Print
• Video
• Forums
6. Unified Delivery ServicesSDL Web Content Delivery Services
Technical Content
Management
SDL Knowledge Center
Unified Experience Management
Web Content
Management
SDL Web
Content
Marketing
Tech
Writer
Web
Designer
Global Field
Marketing
Customer
Support
Technical
Communications
Multimedia
Management
SDL Media Manager
LiveContent Reach
Presentation Servers, Mobile Apps, Kiosks, Social Channels, …
7. Technical Content
Management
SDL Knowledge Center
Unified Experience Management
Web Content
Management
SDL Web
Microservices
Multimedia
Management
SDL Media Manager
Dynamic
Linking
Taxonomy
Metadata
Query
Dynamic
Content
User
Generated
Content
Profiling&
Personalization
Context
Engine
Contextual
ImageDelivery
Audience
Manager
AmbientData
Framework
Presentation Servers, Mobile Apps, Kiosks, Social Channels, …
Content
Marketing
Tech
Writer
Web
Designer
Global Field
Marketing
Customer
Support
Technical
Communications
8. SDL Content Cloud
Content Cloud Portal
Unified Experience Management
Output Channels and Formats
Content
Marketing
Tech
Writer
Web
Designer
Global Field
Marketing
Customer
Support
Technical
Communications
9. SDL Content Cloud – Benefits
Joined up web and knowledge
experiences
Reduced delivery technology
complexity
Shared multimedia capabilities
Improved customer
engagement
Cost reduction
Shared context
11. Common sales cycles
Customer acquires
SDL web content
management
technology
Customer acquires
SDL translation
services /
technology
Customer connects
the 2 at some point
in time (and
sometimes not)
Customer acquires
SDL translation
services /
technology
Customer acquires
SDL web content
management
technology
Customer connects
the 2 at some point
in time (and
sometimes not)
or
12. New: SDL Global Digital Experience Solution™
Customer acquires interconnected
SDL web content management technology &
translation technology + services
13. SDL Global Digital Experience Solution™
Digital
Touchpoints
Global Digital Experience Portal
Content
Marketing
Localization
Department
Web
Designer
Global Field
Marketing
Experience
Management
Digital Media
Management
Web Content
Management
Translation
Management
Individual Professional
Translator
Localization
Service
Provider
Casual
Translator
Business
Requestor
Translator
Productivity
Project
Management
Linguistic
Management
Reporting
Unified Experience Management
14. • For new and existing customers that move to the cloud
• Includes
– Web Content Management
– Translation Management
– Advanced Machine Translation – 2 million words
– Human Translation – Package worth translation of an average website
into 8 languages
• Available per direct
SDL Global Digital Experience Solution™
17. Why upgrades are cumbersome and costly
• Content freeze
• Web application complexity (integrations)
• Regression testing
• Extensive project
• Business disruption !
18. SDL Web 8 Architecture
18
Editorial environment
Editors
Content Interaction Services
(microservices)
Strict separation
Web application independent from CMS
Content managed by customer
Web application
Digital channels
(web, mobile, kiosk, …)
Publish
Content&
Context
Visitors
Content Management Content Delivery
19. SDL Web 8 introduced a clean separation
between Web Application and Content Services
• Upgrading to SDL Web 8 requires a simple
deployment of the new microservices
• No Web Application changes required
• Very limited regression testing
• Works across on-premise, cloud and hybrid scenarios
The SDL Web 8 advantage
29. Independent upgrades
Content Management Content Delivery
SDL Tridion 2011 / 2013
Publish
SDL Content Cloud
(Content as a Service)
SDL Content Cloud
(Digital Experience
as a Service)
30. Benefits – independent upgrades
Much easier and faster current
AND future upgrades
Easy path towards Cloud Lower Total Cost of Ownership
Always the right fit due to
hybrid options
Enjoy the latest features
Shorten projects and risks and
minimize business disruption
32. • Access to the full power of SDL Web,
out-of-the-box
• Production ready website – speed up web
projects by up to 70%
• Driven by best practices & industry
standards
• Dynamic, adaptive and device independent
• Ongoing development by SDL and
community
• Supported & Free (v1.6 just released)
• Apache 2.0 license (do whatever you like)
Digital Experience Accelerator (DXA)
33. Extensible framework
• Foundation for additional
Accelerators
– eCommerce
– Google Analytics
– SOLR Search
– Amazon CloudSearch
– ...and more to come
• Both for SDL Web
on-premise and in the cloud
35. • http://sdl.github.io
• Nuget and Maven
• DXA on Microsoft
Azure Marketplace
• Free Developer
Licenses
Commitment to Open Source & Community
36. SDK Strategy
CONTENT SDK
CONTEXT SDK
SharePoint DAM Video
Content Management
Unified Experience Management
Marketing
Automation
CRM
MCCM
37. Benefits – open source & SDK initiatives
Faster hence cheaper
deployment of new projects
Growing number of free
3rd party system connectors
Leverage existing systems &
investments
Best practices ensure quality
and easier maintenance
Lower Total Cost of Ownership
Reuse any code – it’s all
accessible!
39. The Future of Machine Learning for SDL Web
Broadening the application of
AdaptiveMT beyond SDL Trados Studio
Streamlining the legal discovery process for
multilingual evidence
Auto-population of form-based content (e.g. hotel
bookings)
Automated content discovery, recommendations
Adaptive real-time personalization
Faster time-to-insight
40. Context describes visitor
attributes and behavior
• Today rules prescribe
the “next best content”
• How can we automate
this and predict the next
best content?
Real-time personalization
41. Adaptive real-time personalization
Unified Experience Management
Marketing
Automation
CRM
MCCM
Predictive
models
Page view
Product summary
Transaction
Product detail
Share product
Add to basket
Conversion
Download
Demographics
Gender, Age
Transaction
Past purchases
Email engagement
Clickthrough
Viewed ad
PPC
Real-time personalization based on behaviors,
automatic segmentation and data-driven targeting
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Remember from yesterday?
The delivery of understanding is quite difficult for companies. Content lives in various places throughout your organization. The transformations it must go through before reaching your customers is often complicated and disconnected. Basically, the process leads to the opposite of the desired result: misunderstanding.
This is why SDL has decided to unify content delivery across our content management systems.
Time and again, our customers have asked us to not only manage the delivery of relevant content, but also to blend it with content from other repositories to create a unified experience. It’s not easy, but it’s exactly what we’re going to do. This change allows us to marry marketing and technical content so SDL customers can use a single delivery stack regardless of the unique management requirements for different types of content. Gone are the days of sub-par support experiences, static PDFs, and inadequate knowledge base articles. We can do better than that, and we will.
This unified delivery layer is built on top of our latest SDL Web technology, which has an extremely robust and mature experience management and content delivery stack. Next year we are extending this to SDL Knowledge Center. Of course, we want to ensure quality and stability, so we’ll be rolling out an extensive Beta program in January.
Q: Peter-Paul, can you share with us what we are doing in the cloud for content solutions?
Proofpoints of continued embedding/
Proofpoints of continued embedding/
Speaker note: mention SDL Tridion to SDL Web is a straightforward upgrade
Mention adoption of DXA (refer to earlier slides)
SDL Web blends WCM, Experience optimization, Digital Media management and Localization
On top of that SDL provides the DXA in both Java and .NET versions, which is a production strength baseline implementation of SDL Web
DXA is not just a ready to go website implementation – it is a framework to build on top on at the same time. SDL and the technical Web community continuously work on bulding additional Accelerators such as the ones listed.
Moreover, DXA is equally applicable to on-premise and cloud based deployments of SDL Web
Q2. One of the questions I hear every day is, “When will machines replace humans?” What are your views about that?
A2. At SDL we do not believe that Machines are better than Humans or Humans are better than Machines. It is not about a competition, but about co-operation. It’s about working together for a better result. We look at Machine Learning as a tool, just like any other tools that we’ve built throughout history.
Proof from “PREPARING FOR THE FUTURE OF ARTIFICIAL INTELLIGENCE” paper issued by EXECUTIVE OFFICE OF THE PRESIDENT (of the United States) on October 2016: In many applications, a human-machine team can be more effective than either one alone, using the strengths of one to compensate for the weaknesses of the other. An […] example is in radiology. In one recent study, given images of lymph node cells, and asked to determine whether or not the cells contained cancer, an AI-based approach had a 7.5 percent error rate, where a human pathologist had a 3.5 percent error rate; a combined approach, using both AI and human input, lowered the error rate to 0.5 percent, representing an 85 percent reduction in error.
In the same way, we predict that Adaptive Machine Translation, a technology we just launched, is providing the same power in the hands of every Trados translator. To make them more productive and work with a system that is more responsive and tailored to their styles. Machine learning is nothing more than a tool in the service of all of us, albeit a revolutionary one.
Q3. So we’ve been innovating in Machine Translation. How else are we using Machine Learning within SDL?
A3. We use Machine Learning to solve complex language tasks using cutting-edge innovations. SDL’s Neural and Adaptive Machine Translation is a good example. But Machine Translation is just the tip of the iceberg. SDL’s research tackles every aspect of Natural Language Processing: Synthetic Content Generation, Syntactic Parsing, Language Modeling, Sentiment Analysis, Topic Modeling, Information Retrieval etc…
Thanks Thomas.
Example
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