Are we entering a ‘gold rush’ with artificial intelligence in publishing?
The California Gold Rush started in the mid-19th-century when pioneers took out their picks and shovels and dug away for gold. Over 300,000 people came to California and took desperate measures in an attempt to capitalize on this opportunity. Like the gold rush, I see a metaphorical resemblance regarding artificial intelligence applied in the education world. Specifically, education publishers are the ‘miners’ and they’re in an attempt to strike it rich by achieving adaptive content, hence the ‘gold’.
The problem, though, is that the publishing industry struggles to bridge the gap between supply and demand for adaptive content because they have an outdated supply chain.
Also, publishers were once protected from competition by high barriers to entry. They had closed relationships with authors, the knowledge of buying processes, and control on distribution channels to ensure their position—and to maintain their dominant market share.
If publishers cannot solve the supply chain problem of producing adaptive content in an economically viable way, then they’ll miss opportunities for new sources of revenue or opportunities for curriculum and assessment delivery and analytics in a data-driven world.
So how can these publishers start shovelling for gold?
They’ll need technology to do the work! If publishers want to strike gold, they need to dig bigger value from what already exists in their content. Reuse and repackaging existing content for learning and assessments that enable personalized delivery is clearly necessary. Because human capacity cannot keep up with the volumes of adaptive content needed for personalized learning, publishers need to turn to smart automation technologies, such as automated metadata-tagging.
Publishers need smart automation, driven by artificial intelligence because the processes required to create, manage and deliver content is manual, labour-intensive, expensive, time-consuming and prone to human error.
Once moreover, to make content suitable for personalized learning, content first needs to be meta-tagged in a much better and more efficient way through smart automation.
The Solution
EDIA uses artificial intelligence to drive smart automation. EDIA supports publishers to produce, manage and deliver adaptive content in a manner that provides costs benefits and new sales opportunities. Our artificial intelligence solution uses machine learning and natural language processing to advance to the level of automating cognitive tasks, including metadata-tagging, thus providing the ‘shovel and pick’ in the gold rush.
EDIA automates the metadata-tagging process
EDIA increases metadata quality regarding consistency and quantity.
EDIA decreases meta-tagging costs
EDIA allows for faster and cheaper digital publishing
EDIA enables new revenue streams
About EDIA
EDIA education technology was founded in 2004 and is based in Amsterdam, the Netherlands. In 2006, EDIA launched its first AI product for education, which used machine learning and natural language processing to curate online text sources for vocabulary training. The product won several international awards and is still widely used today. In recent years EDIA transformed into a SaaS platform by applying Artificial Intelligence technology to analyse text.
To learn more, schedule an appointment with EDIA sales team today.