Resources

Whitepapers & Insights

Insights and best practices for unraveling the complexities of digital data

Zoning Documents for Data Extraction

Learn why zoning content within PDF’s and categorizing them into different zone types is an essential endeavor for creating training datasets.
Whitepaper

Quick Ways to Build Machine Learning Data Sets

Discover our tips for sourcing data from the right inputs to build datasets so you can deliver on the true promise of AI.
Whitepaper

The Art & Science of Data Annotation

Innodata and Société Generale’s Lourenco Miranda discuss how to prepare data for machine learning.
Webinar

Accelerate AI with Data Annotation

Discover 9 best practices for creating effective training data from leading data-driven companies.

eBook

4 Steps to Build Truly Intelligent Machine Learning Models

Before investing time and money in machine learning, discover some of the key requirements needed to build an effective AI application.
eBook

5 Questions to Ask Before Getting Started with Data Annotation

Before you begin with any data annotation project, it's important to consider the following questions.
SLIDESHARE

4 Critical Requirements for Building Truly Intelligent AI Models

Think you’re ready for AI? Make sure you have these 4 critical steps in order.
SLIDESHARE

Data Annotation is the Fuel that Drives AI

Explore the 4 different types of data annotation modalities being used to create training data for machine learning.
Infographic

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(NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,000 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI.

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