We Make Data for the World's Most Valuable Companies
Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise.
From Info to Intel
Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry.
Train AI and ML Models
We securely and efficiently label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models.
Turn Text Into Data
Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics.
Clean, Maintain & Augment Your Database
We ensure that your mission-critical databases are accurate and always up-to-date.
Harness Powerful AI In Your Operations
Achieve operational efficiencies in routine, knowledge-intensive work with AI-first expert augmentation.
Intelligent Data Platforms
Easy-to-Use, Mission-Specific Platforms Built with the Highest Quality Data + AI
Our intelligent data platforms are the disruptive tools you need to drive operational improvements and gain prescriptive and predictive data-driven insights.
The Future Belongs to Those Who Get Digital Data & AI Right.
Contact us to get started
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Natural language processing (NLP) may very broadly be defined as the automatic processing and analysis of large amounts of language data by software. With the evolution and democratization of artificial intelligence and machine learning (AI/ML),as well as data-driven methodologies and theample availability of large amounts of online digitaldata, new sets of NLP tools have emerged and become largely mainstream. However, the key pre-requisite to build applications leveraging these tools and technologies is the availability of highly relevant representative data. Due to this dependence on the context, relevance, quality and availability of a good number of examples to work from,there is often a big challenge increating meaningfuldatasets.
On the heels of a historic and heated election, The UK announced it will be formally leaving the European Union as ofJanuary 31, 2020. Despite the landslide victory led by British Prime Minster Boris Johnson’s Conservative Party, there are still many obstacles to overcome before a withdrawal from the EU is finalized. Nevertheless, investors and financial analysts have many concerns about the impact Brexit willhave on the derivatives industry, including fragmented markets and liquidity shortfalls.