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Innodata Public Health Legislation Monitoring

Monitoring Public Health Regulations During Covid-19

Blog, Data Curration

Monitoring Government & State Regulations for Businesses Managing Ever-Evolving Mandates Local businesses and organizations are finding the  the ever-evolving changes to government and state regulations overwhelming and hard to stay ahead of. While governmental agencies are issuing rules and regulations almost daily to keep up with the changing Covid-19 situation, and rightly so, the pace …

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Innodata Assists in Loan Processing for CARES Act

The Data Challenge: How Lenders Can Expedite Loan Approvals of The CARES Act for Small Businesses

Blog, Document Analytics, Financial Services

Our nation’s small businesses are facing an unprecedented economic disruption due to the Coronavirus (COVID-19) outbreak. On Friday, March 27, 2020, the President signed into law the CARES Act, which contains $376 billion in relief for American workers and small businesses. The Challenge to Lenders: Since the CARES Act was signed, banks, credit unions and …

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Understanding the Role of Taxonomies, Ontologies, Schemas and Knowledge Graphs

Blog, Data Annotation, Data Transformation

The Often-Forgotten but Critical Step in Scaling AI and Machine Learning When most people think of artificial intelligence (AI) they conjure up notions of advanced machine learning algorithms, deep neural networks or computational cybernetics. You know, the sexy, futuristic-sounding concepts that are having an impact on the world around us. What doesn’t come to mind …

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Insurance Companies Need Good Data

How Insurance Companies are Using Artificial Intelligence to Transform an Industry

Blog, Data Annotation

Why Data Annotation is the Key to Success Insurance companies are trying very hard to shake the stigma that they are behind the times, and with good reason. The popular consensus among consumers is that dealing with an insurance provider is like getting a root canal without anesthesia. Ouch. To be fair, the process is …

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The Ground Truth by Innodata

The Whole Ground Truth, and Nothing But the Ground Truth

Blog

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.

The Art & Science of Metadata Tagging

Blog

More than 500 years after the invention of Gutenberg’s printing press, technology innovations like digitization and information retrieval represents monumental shift in the way we discover and consume the written word.

Brexit’s Impact on Derivative Contracts

Blog, Intelligent Automation, Uncategorized

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.

Intelligent Automation by Innodata

What Does Intelligent Automation Really Mean?

Blog, Intelligent Automation, Uncategorized

Intelligent automation is the latest buzzword thrown around by business leaders who want to reduce operational complexity and accelerate growth. Fair enough. In today’s hyper-competitive, global business environment, organizations are demanding to do more with less. Intelligent automation promises to reshape organizational structure and streamline complex routines. But are businesses really employing the type of intelligent automation technologies that can transform the business?

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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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