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Data Matters: Our thoughts and views on the state of digital data

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Data Extraction for Mergers and Acquisitions Analytics

A leading financial intelligence company offers a comprehensive database of information on M&A, IPO, private equity, and venture capital. They collect structured and unstructured data comprised of 84 fields of interest within news items from 5 sources. Because manually processing the unstructured data is both resource- and time-intensive, they sought an elegant solution to automate this process.

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Content Moderation by Innodata

6 Reasons To Use Content Moderation

Content Moderation refers to the process of ensuring user-generated content upholds platform-specific guidelines and rules to establish the suitability of the content for publishing. When a user submits content to your website, it is your responsibility to ensure it is appropriate, legal, and meets the regulations of your website.

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Continuous Learning for Context Recognition in Images

Continuous Learning for Facial Recognition in Images

On-demand, flexible, and scalable data annotation team delivers near real-time judgments on the accuracy of the model’s predictions. Annotators must distinguish key features and vote on whether they match the model generated recommendation. Each photo is initially voted on by two annotators…

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image annotation for computer vision by Innodata

What Is Computer Vision

Computer Vision (CV) is a field of research and industry focused on enabling computers to see. By combining machine learning and computation, machines are able to build visual systems that allow them to identify, contextualize, and understand the visual world the way humans do. Learn More >>

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Technology And Its Impact On The Insurance Sector

Innodata:  What is the impact of technology on Insurance?  Meg:     In the age of Amazon, taking more than two days to do anything is unacceptable.   This includes acquiring a new policy, placing a claim, or receiving a settlement check.  Traditional Insurance institutions must leverage technology to operate at high speeds with personalized service.  The

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Innodata Teams Up With Re•Work AI in Finance Virtual Summit

Innodata’s Chief Product & Marketing Officer Rahul Singhal will present at the AI in Finance Virtual Summit. Stay tuned for updates and be sure to join us on September 17th and 18th. Additional details can be found here: The event is RE•WORK’S LARGEST VIRTUAL SUMMIT!• Presentations from world-leading experts on the latest researchadvancements and real-world

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Innodata Public Health Legislation Monitoring

Monitoring Public Health Regulations During Covid-19

Monitoring Government & State Regulations for Businesses Managing Ever-Evolving Mandates Local businesses and organizations are finding 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 of

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Document annotation by innodata

The Strange Case of Document Analysis and Text Processing

The Strange Case of Document Analysis and Text Processing An Ode to a Document When people ask me what I do for a living, I proudly answer: I drive technology innovation for a company that does Document Processing and Analysis. The reaction I receive is typically a blank gaze. Let me explain why Document Analysis

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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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