Page 7 - Brochure Flipbook

Data Enrichment Platforms & Operations

While data is oil, Enrichment is the refinery. SPi has wide experience in enriching data across multi- To support our Data Management and Enrichment
ple industries. Our enrichment services include Mapping & Linking, Indexing, Summarization, services, SPi specializes in supporting Database
Knowledge Modeling and Annotation. Design & Maintenance, Migration and Application
hosting & support activities and provides Platform
Mapping & Linking - Through a combination of Natural Language Processing (NLP) and Machine as a Service capabilities too.
Learning techniques integrated into our Insight Engine, we can identify linkages in data/information
assets and effectively map and link them for an effective information discovery and decision experi- Database Design & Maintenance: Our content
ence support team handles the design of content

For Indexing & Summarization services, SPi offers deep, granular subject categorization & sum- structures to enable new functionalities on your CMS
marization (case study - link to News Events Summarization) in Health & Science, Information platform and, also, manage content rendering and
Services, Legal, Risk, Regulatory and Compliance domains leveraging ConSCIse solution and our deep functionality related tickets coming from internal
subject matter experts in the domain and external users of the platform. We have rich
experience in a wide range of proprietary and open
SPi’s team of subject matter experts (SMEs) and certified Taxonomists provide highly customized and source CMS platforms; and combined with our
effective knowledge modeling services – taxonomies, thesauri and ontology – to help improve infor- in-depth knowledge of content workflows, provides
mation search & discoverability, navigation, and effective storage & retrieval of information assets. you with a one-stop solution.

When AI & ML are getting industrialized, training & test data needs to undergo preparation for Schema Design: Our team of content software
computers to find patterns and inferences. For ML models to learn efficiently and effectively, data engineers can design schemas and maintain the
annotation must be accurate and relevant to the task the machine is being asked to perform. schemas so that can automated transform happens
For this reason, large scale human-annotation services are key to successful machine learning. across various content feeds to the client defined
SPi provides high quality data annotation services for machine learning use cases in the fields format. This lets your team focus on defining new
of Financial Services, Risk & Compliance, Legal and Media with our highly qualified annotators sources for fresh content and leave the extract-
processing millions of data points to build premium ground truth data for text, images, videos, transform-and-load process to SPi.
and audio across 20+ languages.
Content Migration: SPi has highly experienced
teams in migrating content from your legacy platforms
to new ones understanding how schema needs to be
set up for unstructured data. Our full suite solution
includes analysis of the requirements, mapping of the
content structures, managing the ETL process, and
performing the ingestion QA and testing. We have
migrated millions of records for leading information
providers in Risk & Compliance, Health & Science,
Legal domains.

Case study : a short writeup of how we do these activities. Lets write 2 para’s. 1 for Migration and
1 for Application & Client Support

Case study : a short writeup of how we do these activities. Lets write 2 para’s. 1 for Indexing,
Summarization & Knowledge Modeling (ASM? XML First usecase – Ask Vel). 1 more if possible