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the publishing industry struggles to bridge the gap between supply and demand for adaptive content because they have an outdated supply chain.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 shoveling 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, labor 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.
360AI Solution: EDIA uses artificial intelligence to drive smart automation. It’s called 360AI. 360AI 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.
- 360AI automates the metadata-tagging process
- 360AI increases metadata quality regarding consistency and quantity.
- 360AI decreases meta-tagging costs
- 360AI allows for faster and cheaper digital publishing
- 360AI enables new revenue streams
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