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Innodata Launches Data Annotation and Labeling Solution for Enterprises Requiring Complex Training Data for AI

Innodata Inc. (NASDAQ: INOD) announced the launch of its expertly managed data annotation and labeling services to accelerate the creation of training data for customers in key industries such as financial services, legal, healthcare, and pharma.

Data preparation and labeling is essential for training AI and machine learning models; it’s what makes them truly intelligent. But in many cases, a deeper understanding of information is needed to correctly annotate and label data for AI. When it comes to analyzing, reviewing and extracting data from complex documents like medical records or derivative contracts, crowdsourcing won’t do. That’s why Innodata employs over 3,500 subject matter experts across diverse fields including science, technology,
medicine, finance and law. Our team of highly accredited experts are trained to quickly deliver accurate and annotated label data for our customers’ AI and machine learning platforms.

“There’s no substitute for human expertise,” said Rahul Singhal, Chief Product Officer of Innodata. “Our mission is to help our customers save time and money while delivering high-quality and accurate annotated data processed by individuals that truly understand their business.”

Innodata provides annotated data tagged to our customers’ schema and mapped to their knowledge graph or an ontology. The areas of data preparation include:
• Building Intents and Utterances for Conversational Agents
• Labeling Content for Search
• Building or Mapping Data for Ontologies
• Document Classification
• Recommendation Engines
• Customer Insights

“Innodata has proven to be a trusted partner in our machine learning initiatives,” said Rahul Garg, Chief Product Officer of Pypestream. “Our machine learning projects are highly dependent on accurately annotated data, and Innodata has a wide reach to experts that can make sense of some of the complex data sets we work with.

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