The rapid growth of unstructured data is careening into crisis territory. 90% of the world’s data was created in the last two years, and 80% of the data created is unstructured. That represents a 250% increase since 2018, and this trend shows no signs of slowing. Unstructured data is information that does not follow a predefined model or schema, making it far more difficult to process and analyze than structured data (which adheres to a predefined data model).
This article explains why the rapid expansion of unstructured data is at crisis levels, and how artificial intelligence (AI) can be used to overcome it.
The iceberg principle is a theory that suggests most of a situation’s data is not visible. Similar to an iceberg, where only the tip (structured data) can be seen—with the majority of the object’s mass hidden beneath the ocean (unstructured data). This hidden data includes some forms of semi-structured information as well as fully unstructured data such as images, video, audio, and text.
There are a few common approaches that can be used to enrich and structure data so that it can be more easily interpreted by machines and used to power intelligent automations. Some of the traditional approaches to cleaning and organizing unstructured data include:
All of these approaches suffer from inconsistent output accuracy, high costs, or both. Additionally, none of these data preparation methods fully automate unstructured data processing (UDP) despite recent technological advances making it possible to do so.
There have been some incredible advancements in the ability to automate unstructured data processing. New UDP platforms built specifically for unstructured data processing make it possible to automate data preparation and avoid the headaches and inaccurate outputs of traditional methods. Advanced UDP platforms empower nontechnical business users to leverage artificial intelligence using a no-code interface, making AI more accessible than ever.
The biggest boon that UDP is expected to deliver against the data crisis will be truly enabling AI. There has been an explosion in the popularity and value of AutoML platforms such as AWS, Microsoft, Google, DataRobot, Dataiku, and H20.ai. However, people using these platforms continue to face issues when it comes to leveraging them for unstructured data analysis. Existing platforms don’t offer an easy and reliable way to prepare unstructured information, making it useless for forward-thinking organizations seeking to unlock hidden insights using AI.
Companies that have invested heavily in AI solutions can quickly become frustrated by the costs and difficulties associated with sourcing or preparing accurate datasets. UDP platforms make it possible to quickly, reliably, and inexpensively prepare unstructured information for analysis. Additionally, the ability for nontechnical users to take advantage of AI makes it possible for companies to overcome the skills gap that often gets in the way of AI adoption.
Super.AI is all about unstructured data processing. We make it possible to quickly train, test, and deploy custom artificial intelligence solutions with or without learning to code. Our mission is to make AI accessible to everyone and automate repetitive tasks so that people can focus on the work they enjoy. If you’re interested in learning more about UDP, check out the following resources: