In today’s business environment records are everywhere. In documents of course, and also in emails, chats, social media, SMS and in structured databases. The amount of data created in the universe will skyrocket from 16 zettabytes in 2017 to more than 160 zettabytes by 2025, according to the IDC report “Data Age 2025”.
In this time of information explosion, information professionals and industry workers need a helping hand with finding and classifying the growing document archive.
Figure 1: Figure 1: Annual Size of the Global Datasphere from the Data Age 2025 report by IDC.
To be more efficient in their work, information workers want to be able to quickly capture and intelligently classify their documents so they can easily find, use and share them.
Information professionals want effective mechanisms for tagging content for information governance, data protection (e.g. New Zealand Privacy Act), retention and disposal, all in accordance with current legislation and regulation.
Professionals such as Chief Information Officers (CIO) in many organisations want to be able to manage information infrastructure more effectively. C-suite professionals desire their team to be more efficient at information management, and to be able to focus more on the core organisational objectives and deliverables while minimising any information-related risks.
To achieve that, we need a new holistic scalable approach to information management assisted by modern technologies, machine learning, artificial intelligence and automation. As Stephen Clarke, New Zealand Chief Archivist pointed out “Humans are good at creating and machines are good at classification, let them both work to their strengths. In any case, at the scale we now create information it’s beyond human capability.”