M
Monica Delyani
Guest
As publishers adopt AI-powered content discovery and creation workflows, preserving context, metadata and trust has become increasingly important. Progress works alongside publishers, media organizations and industry standards bodies, including the International Press Telecommunications Council, or IPTC, to better understand how metadata, semantic context and governance can support trustworthy content discovery and responsible AI.
An archive search depends on more than the words in an article. A person, event or subject may have several names; an image may carry a credit and usage restriction; an older story may be relevant only in a specific context. Shared metadata helps systems exchange those details, but teams must still preserve and apply them as content moves.
Progress’ participation keeps the company close to standards discussions and the practical problems of implementing them across news, publishing and media technology. It provides opportunities to contribute experience with connected content and meaning. For a broader view of the work publishers are evaluating, see how the Progress Data Platform supports media and publishing teams.
Publishers are exploring AI for discovery, archive reuse, editorial support and content operations. An AI response can surface a relevant item quickly while omitting the metadata that explains its provenance, licensing terms or editorial status. If source files, asset systems and search indexes disagree, a fast answer creates more review work.
The cost is practical. Editors need to know which version is authoritative. Rights teams need to know what use a license permits. Product teams need content that can be classified consistently across channels and formats. As an AI workflow moves into routine production, the trail from source to output should remain visible. Shared standards help content travel with intelligible descriptions; governance determines what a particular organization may do with it.
IPTC is a consortium of news agencies, media outlets, software vendors and related organizations. It develops and promotes technical specifications and guidance for exchanging news information, helps adopters implement its standards and brings members together to share knowledge. Its standards are available for use without royalties, while member organizations support their development and maintenance.
The work covers content and metadata. Photo Metadata provides a common way to carry descriptions and rights information with images. NewsCodes offers controlled vocabularies; Sport Schema describes sports information in a consistent model; and NewsML handles XML workflows natively and also ties to all the other data types. Standards help different tools interpret the same fields and relationships, though each publisher still needs an architecture and workflow for its own content. The IPTC membership overview explains how organizations and individuals take part in that standards community.
IPTC’s current member directory lists Progress and this relationship has an observable implementation dimension that aligns with IPTC’s global standards which can be leveraged quite effectively in a multimodel data platform that includes Progress MarkLogic software. Its ability to load data as-is and harmonize it into the corresponding IPTC standard is a great first step to making your data more discoverable and distributable. Also, with the help of the Progress Semaphore semantic AI platform, news and media companies can classify their content and extract valuable metadata. Read Progress’ blog on this topic.
For example, a publisher might need metadata from an archive to survive a move into a new product. Another may need an event or subject label to retain the same meaning across a newsroom and a distribution partner. These conversations help Progress better understand emerging publishing requirements and contribute practical experience around metadata management, semantic technologies and AI-ready information architectures.
News content passes through editorial tools, content management systems, digital asset libraries, syndication services, licensing systems and search experiences. At each handoff, a useful attribute can be lost or reinterpreted. An image credit may survive in one copy but not another. Systems may classify the same topic differently. An archive item may be discoverable yet unsuitable for the requested use because of rights or editorial context.
The problem extends to AI. Retrieval and generation work with the information a system exposes, so inconsistent labels and missing relationships can shape the output. A shared vocabulary provides a common language, while provenance records the source and changes made along the way. Rights and access rules define what people and applications can use. For a reviewable workflow, teams need all of those pieces to move together. Standards provide a reference point; implementation determines how well that context survives.
The Progress Data Platform helps organizations connect content, add semantic context and apply governance. For media and publishing teams, three capabilities speak to the handoff problem:
Choose a concrete workflow: asset acquisition, draft review, production, rights or archive discovery. Then identify which metadata and source evidence follows the content and who approves the result. Progress' lifecycle use cases show practical places to examine governed AI from acquisition through discovery.
Progress’ IPTC membership creates a place to learn from standards practitioners and contribute implementation experience. It does not imply endorsement, certification, preferred-vendor status or validation of Progress software solutions. Publishers still decide how standards, content systems and editorial policies fit their work. Whether you're modernizing content archives, improving discoverability, enriching metadata or building trusted AI workflows for publishing, explore how Progress Data Platform can help connect content, context and governance at scale.
Continue reading...
What IPTC Membership Means for Media and Publishing Customers
An archive search depends on more than the words in an article. A person, event or subject may have several names; an image may carry a credit and usage restriction; an older story may be relevant only in a specific context. Shared metadata helps systems exchange those details, but teams must still preserve and apply them as content moves.
Progress’ participation keeps the company close to standards discussions and the practical problems of implementing them across news, publishing and media technology. It provides opportunities to contribute experience with connected content and meaning. For a broader view of the work publishers are evaluating, see how the Progress Data Platform supports media and publishing teams.
Why Trusted and Discoverable Content Matters Now
Publishers are exploring AI for discovery, archive reuse, editorial support and content operations. An AI response can surface a relevant item quickly while omitting the metadata that explains its provenance, licensing terms or editorial status. If source files, asset systems and search indexes disagree, a fast answer creates more review work.
The cost is practical. Editors need to know which version is authoritative. Rights teams need to know what use a license permits. Product teams need content that can be classified consistently across channels and formats. As an AI workflow moves into routine production, the trail from source to output should remain visible. Shared standards help content travel with intelligible descriptions; governance determines what a particular organization may do with it.
What the International Press Telecommunications Council Does
IPTC is a consortium of news agencies, media outlets, software vendors and related organizations. It develops and promotes technical specifications and guidance for exchanging news information, helps adopters implement its standards and brings members together to share knowledge. Its standards are available for use without royalties, while member organizations support their development and maintenance.
The work covers content and metadata. Photo Metadata provides a common way to carry descriptions and rights information with images. NewsCodes offers controlled vocabularies; Sport Schema describes sports information in a consistent model; and NewsML handles XML workflows natively and also ties to all the other data types. Standards help different tools interpret the same fields and relationships, though each publisher still needs an architecture and workflow for its own content. The IPTC membership overview explains how organizations and individuals take part in that standards community.
Why Progress Software Participates in IPTC
IPTC’s current member directory lists Progress and this relationship has an observable implementation dimension that aligns with IPTC’s global standards which can be leveraged quite effectively in a multimodel data platform that includes Progress MarkLogic software. Its ability to load data as-is and harmonize it into the corresponding IPTC standard is a great first step to making your data more discoverable and distributable. Also, with the help of the Progress Semaphore semantic AI platform, news and media companies can classify their content and extract valuable metadata. Read Progress’ blog on this topic.
For example, a publisher might need metadata from an archive to survive a move into a new product. Another may need an event or subject label to retain the same meaning across a newsroom and a distribution partner. These conversations help Progress better understand emerging publishing requirements and contribute practical experience around metadata management, semantic technologies and AI-ready information architectures.
The Shared Challenge Is Preserving Meaning as Content Moves
News content passes through editorial tools, content management systems, digital asset libraries, syndication services, licensing systems and search experiences. At each handoff, a useful attribute can be lost or reinterpreted. An image credit may survive in one copy but not another. Systems may classify the same topic differently. An archive item may be discoverable yet unsuitable for the requested use because of rights or editorial context.
The problem extends to AI. Retrieval and generation work with the information a system exposes, so inconsistent labels and missing relationships can shape the output. A shared vocabulary provides a common language, while provenance records the source and changes made along the way. Rights and access rules define what people and applications can use. For a reviewable workflow, teams need all of those pieces to move together. Standards provide a reference point; implementation determines how well that context survives.
How the Progress Data Platform Supports Trusted Content Workflows
The Progress Data Platform helps organizations connect content, add semantic context and apply governance. For media and publishing teams, three capabilities speak to the handoff problem:
- Connect Content and Metadata Across Systems: The platform can bring structured records and unstructured content into a shared context across archives, metadata repositories, content systems and rights databases. That can help a team search across sources without assuming every asset lives in one place and should reflect the publisher’s systems and the question an editor or product team needs to answer.
- Preserve Shared Meaning: Taxonomies, metadata and entity relationships help explain that differently labeled content may concern the same subject, or that similar words refer to different things. The distinction matters when a search tool recommends an older story or an AI tool summarizes related coverage. Consistent meaning makes a result easier for a person to interpret and review.
- Govern How Information Is Used: Governance connects source context with access and usage policies. The platform’s media and publishing approach includes rights and licensing rules alongside provenance and editorial controls. Teams can use those capabilities to build review steps for AI-assisted workflows, then configure and test them against their own agreements and policies. No platform feature alone decides whether a particular use is licensed or editorially appropriate.
Explore AI Use Cases Across the Publishing Content Lifecycle
Choose a concrete workflow: asset acquisition, draft review, production, rights or archive discovery. Then identify which metadata and source evidence follows the content and who approves the result. Progress' lifecycle use cases show practical places to examine governed AI from acquisition through discovery.
Working With the Industry to Support Trusted Information
Progress’ IPTC membership creates a place to learn from standards practitioners and contribute implementation experience. It does not imply endorsement, certification, preferred-vendor status or validation of Progress software solutions. Publishers still decide how standards, content systems and editorial policies fit their work. Whether you're modernizing content archives, improving discoverability, enriching metadata or building trusted AI workflows for publishing, explore how Progress Data Platform can help connect content, context and governance at scale.
Continue reading...