Digital Collections Customer Days 2017 Arti fj cial Intelligence, - - PowerPoint PPT Presentation

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Digital Collections Customer Days 2017 Arti fj cial Intelligence, - - PowerPoint PPT Presentation

Digital Collections Customer Days 2017 Arti fj cial Intelligence, Semantic Data & Distributed Content DAM Trends 2017 Tim Strehle, Digital Collections Developer & Product Manager @tistre DAM Websites DAM News Planet DAM


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Digital Collections Customer Days 2017

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@tistre

Artifjcial Intelligence, Semantic Data & Distributed Content

DAM Trends 2017

Tim Strehle, Digital Collections
 Developer & Product Manager

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DAM Websites

DAM News


digitalassetmanagementnews.org 


@DAMNEWS Planet DAM
 planetdam.org
 @PlanetDAM More links:
 strehle.de/q/damr

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Trends

“the rat race” by frankieleon is licensed under CC BY 2.0

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Yesterday’s Trends

“1954—Flying-saucers-for-Everybody” by James Vaughan is licensed under CC BY 2.0

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Mobile, Responsive Design

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“What I miss about England” by Gideon is licensed under CC BY 2.0

UX, USABILITY

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Portals / Marketing DAM Systems

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Video

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APIs, Interoperability

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Cloud

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Full-text Search

based on Lucene, Solr, Elasticsearch

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Big Data, Analytics

“20120227-NodeXL-Twitter-bigdata network graph” by Mark Smith is licensed under CC BY 2.0

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DAM TrendS 2017

“Space Shuttle Lifu-Off” by NASA is licensed under CC0 Public Domain

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Artificial Intelligence (AI)

“The Edge of Gamification” by Steve Jurvetson is licensed under CC BY 2.0

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AI: Image Recognition

Amazon Rekognition, Clarifai, Google Cloud Vision, Microsoft Cognitive Services (Vision)

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  • Entity Recognition in texts (places, people, organizations)
  • Voice recognition (audio and video transcription)
  • Scene detection (video)
  • Deep Learning software development kit: TensorFlow

AI: More…

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AI: Use Cases

  • Save time when assigning keywords (fully automated, or

suggestions)

  • Offer new search options (emotion)
  • Find related content across disparate content sources (news,

archives, external sources)

  • Link to maps, Wikipedia…
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SemantiC Data

“Panama Papers et Neo4J #1” by François Pelletier is licensed under CC BY 2.0

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  • In addition to fjxed, common DAM data structures (assets, fjles, rights)

  • … allow for custom, structured data, like products, campaigns,
  • rganizational structures, publications and editions,
  • which can be fmexibly linked to each other and to assets,
  • no coding required (just confjguration).

see blog posts Schema fmexibility for power users and It’s content, not just DAM metadata

Semantic DatA

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“Network aeroporto Leonardo da Vinci - Europa” by Mikele Repetto is licensed under CC BY-SA 3.0

Distributed Content

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Use the DAM not just for searching content stored in and managed by the DAM system, … … but also as a search engine for external content stored within Google Docs, Dropbox, Facebook, or external content sources like Getty Images. see blog post Distributed DAM: From silo to search engine

Distributed Content

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Better APIs, Modularity

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  • “Headless CMS”

, “API fjrst” , separate the UI from the data store / backend

  • Modular, decoupled, extensible, customizable system architecture

(microservices, “serverless”)

  • Self-Contained Systems: UI integration using links, iFrames, Web

Components

  • Standards for content exchange: CMIS4DAM, Linked Data?
  • see blog posts System architecture: Splitting a DAM into Self-

Contained Systems and RDF and schema.org for DAM interoperability

Better APIs, Modularity

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