Content Engineering

Modern products thrive on customized content and data. Our teams accelerate content enrichment, data analytics and Machine Learning-led model training.

GlobalLogic provides customers with end-to-end content engineering services to support their content journey, turning raw data into actionable insights. We help businesses manage their content ecosystems through automated solutions and real-time moderation teams.

With over a decade of experience and a globally distributed team of content experts, we partner with some of the largest businesses in the world — from med-tech and hi-tech pioneers, to automotive and fleet management companies — to develop insightful content and data solutions based on artificial intelligence and machine learning technologies.

Our Offerings

Machine Learning

We train machines to turn algorithms and labeled datasets into actionable insights to drive revenue and growth opportunities for businesses. We deliver strategic market and customer intelligence, increased value of data assets, and accurate business outcomes.

  • Annotation, Classification and Segmentation
  • Product Detection 
  • Sound & Phonics Recognition
  • Sign Tagging and Labeling
  • Augmented Real-Time Scenarios
  • Training Data Set Creation

Security

You can trust our team of content moderation experts to safeguard your platforms, user rights, and brand reputations by carefully and continuously reviewing and moderating your web content and ecosystems.

  • Data-Driven Content Moderation
  • Issue Monitoring
  • Spam Identification & Control
  • Fraud Detection and Prevention

Content Curation & Search Operations

We help businesses deliver more efficient search results and enhanced user experiences by leveraging human curation, data analytics, research, domain knowledge, and automation to provide structured data across locations and languages.

  • Superior User Experience 
  • Cost Efficiencies
  • Strong Analytical Skills
  • Maintenance of Knowledge Graphs & Creation of new search domains

Data Mining & Analytics

We provide a wide range of data-related tools and services, encompassing multiple extensions across multiple formats. Our data engineers also have expertise in developing front-end user interfaces, data parsing and extraction solutions, and crawling tools.

  • Data Parsing
  • Data Extraction
  • Data Crawling 
  • Data Curation

Content Digitization

We offer end-to-end lifecycle digital enablement services to improve business processes and optimize costs, including document lifecycle and digital asset management services.

  • Claim & Invoice Digitization
  • Business Logic Validation & Correction 
  • Data Enrichment 
  • Search-friendly Metadata Management
  • Multimedia annotation

Product Support

We provide our customers — and their partners — with responsive, multilingual product support services through chat and email support channels. We work with online sellers across the globe to support their e-books and apps. From user-facing chatbots to customer-facing support specialists, we can help you field questions and resolve issues across numerous media channels.

  • End-to-end Operations Support
  • Front and Back-End Support
  • Policies and Guidelines Support

FAQs

Engineering is the application of math and science to solve problems. Innovative modern products are engineered through inventing, designing, and building things to achieve practical goals.

A content engineer helps to bridge the gap between content producers and managers by organizing data and customized content. They apply content engineering through personalized solutions that can be retargeted and used in multichannel distribution.

Content engineering services include defining problems that need solutions, conducting and analyzing research, and then developing new technological solutions based on the findings.

Let’s Work Together

Work Examples

Related Content

Blogs

Accelerating Enterprise Value with AI

As many organizations are continuing to navigate the chasm between AI/GenAI pilots and enterprise deployment, Hitachi is already making significant strides. In this article, GlobaLogic discusses the importance of grounding any AI/GenAI initiative in three core principles: 1) thoughtful consideration of enterprise objectives and desired outcomes; 2) the selection and/or development of AI systems that are purpose-built for an organization’s industry, its existing technology, and its data; and 3) an intrinsic commitment to responsible AI. The article will explain how Hitachi is addressing those principles with the Hitachi GenAI Platform-of-Platforms. GlobalLogic has architected this enterprise-grade solution to enable responsible, reliable, and reusable AI that unlocks a high level of operational and technical agility. It's a modular solution that GlobalLogic can use to rapidly build solutions for enterprises across industries as they use AI/GenAI to pursue new revenue streams, greater operational efficiency, and higher workforce productivity.

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