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

Brexit’s Impact on Derivative Contracts

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.

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Intelligent Automation by Innodata

What Does Intelligent Automation Really Mean?

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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Smart Data is at the Heart of Artificial Intelligence

Artificial intelligence seems to be everywhere you look these days, this article notwithstanding. But seriously, while AI is commonly seen as a complex but innovative solution for curing diseases and fostering social good, today it is being applied to accomplish everything from drafting a better fantasy football team to help craft pick-up lines (how you

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Infographic – 4 Types of Data Annotation

Data annotation (also referred to as data labeling) is quite critical to ensuring your AI and machine learning projects can scale. It provides that initial setup for training a machine learning model with what it needs to understand and how to discriminate against various inputs to come up with accurate outputs. There are many different

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How To Zone Documents for Data Extraction by Innodata

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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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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5 Questions To Ask Before Getting Started With Data Annotation - Innodata

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.