MPS has embarked on a journey of creating cognitive production systems of the future with its Data Science, Machine Learning, and Analytics capabilities. The salient features of the systems developed include the following:
As a natural extension of our extensive XML capabilities, MPS enriches content with semantic tagging and keyword inclusion based on subject ontology and abstract writing. MPS enables it to work with other products or systems across devices and also meet accessibility standards so the content is available to the visually-impaired and color-blind users.
MPS has built a teacher-student interface and as part of that project, MPS performed data normalization that included:
Using machine learning algorithms, content is subject to selective processing based on the profile and complexity of content. This selective treatment of content optimizes the utilization of resources while improving the speed of deliveries.
Advanced analytics is used to decide the type and extent of checks to be carried out on content, depending on the nature and profile of content. These checks are generated dynamically on the fly, thereby ensuring right checks and optimum touch times in the process.
Natural Language Processing (NLP) is used as a decision support system for editors to enhance the consistency and speed of editing. This is integrated with MPS’ own databases and other dictionaries built over many years of experienceand acts as an expert system for editors to make appropriate interventions.
As a natural extension of our capabilities with content design and development, MPS has amassed experience with content deployment across LMS. This includes course builds, content ingestion, creation of assessments and SCO packaging.
We also have substantial exposure to authoring platforms and content ingestion or migration of existing content to any customized platform you might have. MPS will analyze the requirements, map the content structures, manage the ETL process, and perform the ingestion QA and testing. We are engaged in a large-scale ingestion of legacy content to the Gutenberg platform.
We combine both US-based and offshore subject matter expert indexers who are certified by ASI (American Society of Indexers). MPS indexers are guaranteed to meet the requirements of both the publisher and author in terms of style, structure and formatting, and they utilize leading indexing software to further increase accuracy and expedite the process.
Our data abstraction team has years of experience in creating content summaries which are used for marketing and discovery.
The MPS team uses custom software to capture website content. We’re also able to identify changes in content and then update your database with it. With our data analysis tool, you can slice and dice data across different dimensions and content types. Reports can be generated and analyzed in the time frame needed.
With our data aggregation and analytics capabilities, we’re able to take on custom research projects which involve monitoring companies, competition, and the news.
MPS’ content engineers can help you create value across the product life-cycle through our custom technology services. Our engineers will transform aggregated content feeds to the required format so your team can focus on acquiring new content. MPS will also shorten your digital product development cycle and create enriched digital content using our development and enrichment services.
Drastically shorten your digital product development cycle and create enriched digital content using our development and enrichment services.
MPS has vast experience building our own platforms and supporting our clients with their own platforms. The MPS team can support the design of your content structure to enable new functionalities and also manage content rendering.
We use subject knowledge combined with text mining and extraction algorithms to assign content that are based on existing taxonomies, and update and create new taxonomies.