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The ever increasing petabytes of data required to do business in the modern world of work require utilizing metadata to tag content. Why Metadata? Metadata (aka tags, properties, labels) is the key component in any robust Information Architecture plan. How can this be done? Break down silos.
The perks of a cloud-first approach for data management have been well documented: unified, content-services platforms accessed anytime, anywhere by empowered employees leading to improved productivity and reduced operational costs. Step 1: Improve ContentMetadata. Benefits of a Cloud-First Data Management Strategy.
The Extension of ContentServices to the Cloud. Organizations must embrace AI and ML tools to take the friction out of the process of manually classifying incoming information and assigning relevant metadata. The Extension of ContentServices to the Cloud. Improving Downstream Processes.
It’s a powerful new technology made for today’s hybrid environments that embeds content management functionality, security, and control in the document. A new approach to content management uses VCI technology to address these issues.
Enrich with metadata: Select a category for the metadata. This expiration date is calculated from a date attribute in the metadata. and so forth Once your Smart Document Types are in place, you may ask yourself, “how do I persuade our users to select document types and provide metadata for each upload?”
We argued in the AIIM 2019 State of the Industry – ContentServices that “[information management] is better sold indirectly – as a byproduct of automation and customer experience – than head-on.”. Metadata Capture and Remediation: Again, users are the problem with metadata more than the solution.
Knowledge and documentation metadata? [FREE Webinar: Learn more from this Case Study on Leveraging Data to Transform Customer Experience]. Is your data an asset? Ask yourself these seven question to find out. Does your data have: Clear ownership and accountability? Clear understanding of usage and value? Data architects and engineers?
Structures are the building blocks of information organization, from the storage structures (information architecture, taxonomy, metadata) to the system structures (technology architecture), along with file formats and transmission (formats & protocols). Are your organization’s taxonomy and metadata consistent across systems?
Business-specific metadata is the foundat ion of effective search, workflow, and other value-creation activities in content-centric business applications. The challenge has always been the manual effort and investment required to properly and accurately identify content and link it to related materials.
Text analysis for better content classification and categorization – metadata assignment (35%). In the area of contentservices, 71% of our respondents indicated that they plan to use ML techniques in records management and preservation. Better automatic understanding of the context of a document (33%).
and later, ensuring faster access to content. Lock and unlock Business Workspaces A new event bot automatically locks and unlocks Business Workspaces based on predefined metadata conditions, ensuring data integrity during approval processes. Additional metadata can also now be passed to DocuSign.
By marrying these two solutions together, enterprises struggling with inefficient asset discovery, inconsistent metadata tagging across teams, and unnecessary duplication of content creation or procurement, can take advantage of the tools natural language search capabilities, powered by secure and private AI, to quickly locate the right assets - even (..)
Your organization likely has enormous volumes of untapped data and content in archived forms accessible only through metadata or full-text searches. What valuable, actionable knowledge is locked in your information archives?
Digital Transformation is fairly advanced in the Bank but ECM is trailing behind and not well understood, especially from a metadata perspective.”. “AI We are at a pivot point for contentservices and ECM as a monolith may have had its day, especially with cloud based services. WE WANT SIMPLICITY!
With the volume, diversity and complexity of digital data and content continuing to grow, the new v6.0 platform has been engineered from the ground-up to meet the challenges of managing and preserving digital content into the future. Flexible post-ingest content and metadata management. ENHANCED: Preservica v6.0
All of the familiar content management tools and products – RPA, content management, capture, workflow, business rules -- are now grouped under the IBM Automation umbrella, specifically under Business Process Automation. AI, content analytics & semantics. Metadata & taxonomy management. Blockchain.
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March 2021 marked a further milestone for OpenTextTM Core Share and OpenTextTM Core Signature with new features including metadata synchronization between OpenTextTM Content Suite and Core Share; Microsoft Office365 mobile editing for Android devices, a new Canadian-based data center, and more! Core Share 21.1 and Core Signature 21.1
Everteam.iFile provides access to content from multiple data repositories as well as a simple and rich functionality combining Intelligent Document Management, Intelligent Workflow Automation, Intelligent Metadata Management and Extraction, Intelligent Processing and Classification of business critical-documents through discovery and auto-tagging.
Strategic) Information and Technology Architecture, Taxonomy, Metadata, and Formats and Protocols. Logistical and operational) Application and Software ContentServices and APIs, Information Transport, Storage Platforms, and Information Security. Architecture : (i.e., Infrastructure : (i.e.,
M-Files provides an intelligent, repository neutral platform that utilizes metadata and artificial intelligence (AI) to break down information silos and unify systems, data and content across an organization. The company’s software-as-a-service (SaaS) business model continues to propel its strong growth.
Doxis4 has a competitive market advantage due to the fact that it brings together ECM, BPM, collaboration and EFSS onto one unified technological platform with uniform metadata management. The flexibility to run Doxis4 on premises, in the cloud or as a hybrid makes the company-wide contentservices platform stand out in the market.
For example, for current job openings, HR teams can determine which existing employees have required skill sets, leveraging searchable metadata from employee resumes and performance reviews to recommend strong internal candidates. Support employee retention and engagement Plus, IDP solutions extend the value of existing HR applications.
The next step in Investigative analytics is already here, with a solution that includes the ability to: Extract unstructured and structured data and metadata. Moreover, these tools are designed to be user-friendly and support natural language processing in over 40 languages. Locations (places, postcodes, etc.),
For better visibility and proper decision making, everteam.iNSight allows you to search your data and retrieve media assets which will be found easily through metadata tags. With everything becoming searchable, all assets, including visual ones, will be organized to become efficient in many aspects.
In addition to this new level of unified access to information spread across the enterprise, M-Files offers a full set of purpose-built contentservices, including cloud and on-premises repositories, version history, security, workflows, electronic signatures, compliance support and more.
Technology analyst firm Gartner underscored the challenge in a recent report: “In many enterprises, an increasingly chaotic "sprawl" of content from a growing number of sources makes it difficult for application leaders to implement an effective strategy for the governance and use of content.”
Building upon the Intelligent Metadata Layer introduced in 2017, M-Files also launched ten new connectors, including SharePoint, OneDrive for Business, OpenText Content Server, IBM FileNet P8, Documentum, Amazon S3 and Microsoft SQL Server.
With OpenText business workspaces, content is organized across line-of-business applications and business processes, applying permissions for information protection, classifying content to make it easier for AI to query and capture accurate business data for valuable and more relevant GenAI responses.
Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. AI makes in-place information management possible.
OpenText™ Core Capture Integration to Documentum with REST services For seamless integration, there is a new REST-based exporter so that OpenText™ Documentum™ users no longer need to use the generic CMIS export to send documents and metadata from Core Capture to Documentum. April 2023: What’s new in OpenText Core Capture CE 23.2
Part 2 will discuss the critical factors for a successful DT journey, because organizations need to do a “mind-shift” from traditional records and information management (RIM) practices to contentservices (CS). ContentServices (CS). ContentServices Platforms (CSP). Content can be delivered via a CSP.
It’s been replaced by the term contentservices, a strategic concept that covers three aspects, namely contentservices Applications, Platforms and Components.”. What’s this contentservices thing? There's been a log of conversation about CONTENTSERVICES in the past few years.
But in my opinion, the greatest value of the solution is how well it handles metadata. With Extended ECM, all that metadata suddenly became searchable. I saw firsthand how fast and easy it is to import digital documents into Extended ECM.
These information management challenges could be resolved through the utilization of contentservices , generating significant opportunities for contentservices providers. ContentServices. ContentServices made them more dynamic. ContentServices with Robotic Process Automation.
Here, Part 2 discusses the critical factors for a successful DT journey, because organizations need to do a “mind-shift” from traditional records and information management (RIM) practices to contentservices (CS). ContentServices. 5] The scope can include some of the following products and services.
3: Is metadata consistently applied to cloud-based content? When considering moving content management to the cloud, determine whether metadata is a native capability within the platform. The Foundry Research survey revealed that 98% of decision-makers want to leverage GenAI with a cloud content management solution.
This ensures that all documents have accurate metadata and are easily retrievable when needed. Accurate metadata : Extract accurate metadata from documents with a data capture solution like OpenText Capture to ensure that all necessary content is captured and stored correctly.
We continue to deliver on the unified Content Innovation Cloud roadmap and meet evolving customer needs by extending the value of their Hyland solutions, said Hyland Chief Product Officer Leonard Kim.
Customers who have enabled OpenText Content Aviator can now search multiple Aviator-enabled Workspaces or documents simultaneously. OpenText Content Aviator now also considers metadata in searches. This new report type allows the tenant admin to export a filtered list of documents including metadata.
AI can evaluate incoming documents, images, and faxes to recognize text and handwriting, extract metadata, classify content for downstream processing and apply security policy. Metadata enrichment can identify sensitive or privacy-related information to apply critical access controls and security labels.
At the practical level, we have restructured our processes and extracted and added metadata to thousands of documents to make them searchablefeatures that the business units, particularly legal, value greatly. Eliminating unsupported apps has also enhanced our security, reduced our workload, and cut our costs.
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