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.
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.
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.
There is a growing discussion about the natural resistance towards Artificial Intelligence (AI) and automation (such as robots on an assembly line). Will it take away jobs? Will it become self-aware and realize that humans stand in its way (think Skynet in the Terminator movies…)?
