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

What is Zoning and Why Does it Matter for Artificial Intelligence?

How Innodata Extracts Data from Complex Documents As companies look for ways to reap the benefits of artificial intelligence and machine learning, they need as much data as feasibly possible to train and improve their models. The challenge lies in obtaining the right data, in the right formats and systems, and in the right quantity.

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Quick Ways to Build Machine Learning Datasets

Free Whitepaper There was a time when working with big data was not technically possible because our computing capabilities couldn’t handle the amount of information that was involved.  Boy, have times changed. Today, the explosion of digital data that is available to us, coupled with astonishing advancements in computing power, has fueled excitement about transformative

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To Boldly Go Where No Data Has Gone Before

How Data from Satellites are Driving New Business Opportunities As a child I would often gaze up at the stars and wonder what lied behind the darkness of space. Today we know a lot more about the solar system thanks to satellite technology. And while space exploration has traditionally been controlled and owned by government

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Webinar Reveals the Typical Spend and Needs for Data Annotation

Lourenco Miranda understands the role data annotation plays in driving the right business decisions for his company. As the regional head of capital management, resolution (risk), and model risk management at Société Genérale, he needs access to up-to-the-minute information that is unbiased, ethical, and most importantly, accurate. “If we train our models with the wrong

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5 Questions To Ask Before Getting Started With Data Annotation

Accelerating AI with Data Annotation We’re still a long way from realizing the full potential of artificial intelligence. Sorry to burst your bubble, but self-driving cars taking over the roads and robot doctors are closer to science-fiction than reality. Despite the hype around these AI-powered initiatives, the harsh truth is we still do not have

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Why Chatbots Need the Right Data to Get Chatty

A Conversation About Conversational AI with Pypestream’s Chief Product Officer If you’ve surfed the web recently, you may have been inundated with advertising for language learning solutions. “The App That Teaches You a Language in 20 Minutes a Day” is the typical headline vying for your attention. It certainly sounds promising; who wouldn’t want to

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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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