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

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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4 Steps to Building Intelligent AI Models

As commercial enterprises embrace technology to become more agile and competitive, many are turning to artificial intelligence (AI) and machine learning to increase operational efficiency, accelerate innovation and make faster, more informed business decisions. Not surprisingly, the market for AI is expected to exceed more than $191 billion by 2024 at a CAGR of 37%.

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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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