In the previous blog, we celebrated Ethias, one of the largest insurance companies in Belgium, that had reached the milestone of 100 million documents managed in the Alfresco Digital Business Platform. Reaching this milestone in our customer’s environment reaffirms our commitment to continuous re-evaluations of the system to look for optimisations to current or future scalability limitations.
Last month, Ethias, one of the largest insurance companies in Belgium, had reached the milestone of 100 million documents managed in the Alfresco Digital Business Platform. Reaching this milestone in our customer’s environment reaffirms our commitment to continuous re-evaluations of the system to look for optimisations to current or future scalability limitations.
Digital Signatures have become the new normal however, there are still many misconceptions about them. Does a digital signature have the same legal value as written signatures? What is the importance of identification in a signature session? Does the end user always have to download software when signing documents digitally?
In this pilot study, Tom Magerman - MSc Business and Information Systems Engineering, PhD at UCLL (University Colleges Leuven Limburg) - and our team at Xenit, want to check the effectiveness of applying automated named entity recognition on a set of miscellaneous documents in a corporate document management system. The idea is to use machine learning (artificial intelligence) techniques to identify and extract natural person names from documents.
Customer communications are fundamental to organisations of all sizes. They provide a critical means of communicating money owed, account history, case updates, policy details, and many other kinds of marketing and transactional detail to consumers.
Nowadays modern businesses are leveraging machine learning (ML) based solutions to help automate operations and making the whole process of document management faster and more effective.
The latest systems are incorporating artificial intelligence (AI) to “read” documents like a human, to identify and classify the type of document and extract key data. Such systems can efficiently, accurately convert the varied content those sources contain into standard data types, scanning for relevant information and feeding that information into common data stores.
Monitoring is the key to a healthy Alfresco Platform installation. Metrics give insight into how the application is behaving and make it possible to react quickly when something is not right. At this moment an enormous amount of monitoring systems is available, each one with its own concepts and usage. Furthermore, there is not one of these monitoring systems which is 'the best', they all have their perks and cons.
As a result, different companies way too often need to start building their Alfresco monitoring stack from scratch, simply because there is no integration available for their preferred monitoring system.
Editor's note (2019-10-02): A slight oversight on our part has been brought to our attention: Our companies artefact repositories have not yet been replaced by public repositories yet. We apologise for this inconvenience and will amend this as soon as possible. To view our open source projects, visit our GitHub page.
Care4Alf is a toolkit designed by Xenit, to give system administrators an easy way to reduce the overhead costs related to managing an Alfresco Repository. The toolset provides easy visibility and access to parts of Alfresco that are normally very difficult to access, like system settings and the underlying spring configuration.
Cheryl McKinnon, principal analyst serving enterprise architecture professionals, is the author of the report: The Forrester Wave™ - ECM Content Platforms, Q3 2019.
In a 26-criterion evaluation of enterprise content management (ECM) content platform providers, Cheryl and the team identified the 14 most significant ones — Alfresco Software, Box, GRM Information Management, Hyland, IBM, iManage, Laserfiche, M-Files, Micro Focus, Microsoft, Newgen Software, Nuxeo, OpenText, and SER Group —and researched, analyzed, and scored them.
The Association of Intelligent Information Management (AIIM) published survey results from 100 Leaders in Document Automation, focusing on how the digital workforce takes advantage of Document Automation Solutions.