Applying to universities or high schools can feel like an overwhelming task, with the need to submit various documents, including academic records, recommendation letters, personal statements, and standardised test scores. Admissions teams face significant challenges, especially in large universities where thousands of students apply yearly. Processing these documents manually has been difficult due to their diverse formats and layouts. However, Artificial Intelligence (AI) has ushered in new possibilities, enabling institutions to automate parts of the process through AI document processing. This blog article will explore the importance of application documents, the obstacles admissions teams face, and how AI can revolutionise their operations, making the journey smoother for all.
Over the past two years, the field of Artificial Intelligence (AI) has been advancing at an incredible pace. While much attention has been given to large language models like ChatGPT, there have also been considerable advancements in document processing. These advancements have brought us new solutions that deliver impressive improvements in data extraction. We are now entering an era of information extraction, more than data extraction.
Effective management of technical documents is crucial for the smooth operation, efficiency, and responsiveness of industrial companies. The quality and availability of information within these documents directly impact the performance of operations, maintenance, and engineering teams. However, managing technical documents has always been a complex and resource-intensive task. Fortunately, with the recent advancements in AI algorithms, a new era in technical document management has emerged, offering higher data quality, faster access to information, and ultimately, more efficient operations and robust internal processes.
Hardly a day passes without an industry leader or political figure making a prediction about the impact of artificial intelligence and intelligent automation - in the workplace, at school and at home.
This October I attended, on behalf of Moonoia, the AIIM Executive Leadership Council (ECL) in London, and I thought I should share some insights from this meeting. Mostly because I was happy to discover that these findings fully support the mission of our organization: accelerating document process automation through cognitive capture.
Exciting times ahead!
One of Moonoia's top projects has been shortlisted for the "Digital Project of the Year 2017" competition organized by Data News, Belgium's reference magazine for the ICT industry. Together with the "CIO of the Year", the winning project will be announced during the award ceremony which will take place in Brussels on October 25th. Fingers crossed!
With the next AIIM Executive Leadership Council meeting happening in London this week, I thought it would be a good moment to look at what defines the new age of intelligent information management.
IMAGE PROCESSING is one of the main areas where Artificial Intelligence is being used today, and Moonoia does exactly that. But there are other sectors currently employing AI and they are definitely worth keeping an eye on.
