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While ten years ago digital transformation may have seemed like a mere consideration for many businesses, today it’s becoming more of a necessity.
Digital technology is a major driver of many of the most significant changes we’ve seen over the past 20 years. Technology has evolved far beyond tools to permeate every aspect of our personal and professional lives. We’re in the midst of the Internet of Things, and we’re using internet-enabled devices for almost everything.
Digital transformation is moving fast, and much faster than many of us expected. In order to stay relevant and keep up, organisations that developed before the digital age have no choice but to transform.
It’s no secret - companies that can quickly create, capture and harness information and data to support business decisions are the most successful.
Whether on-premises or in the cloud, Enterprise Content Management (ECM) is already playing a massive role in helping businesses manage the complexity of data and assets.
While ECM-driven digital transformation has revolutionised and continues to revolutionise the way businesses manage their information, Enterprise Content Management (ECM) systems.
With the volume of data expected to increase tenfold by 2020, the role of Artificial Intelligence (AI) in ECM is likely to become a necessity.
If you think about it, each file has data attributes associated with it. Things like:
This is the kind of content that is truly rich and most valuable to an organisation. So, employees should be able to access and share it at the point of need with relative ease.
The key to facilitating this is technology such as AI, machine learning, and natural language processing. By automating manual, labour-intensive tasks, all available information can be categorised, accessed, and shared through Intelligent Automation (IA).
IA is not only capable of handling data faster and more accurately than humans, but it’s also capable of learning from that data to provide better results over time.
While optical character recognition technology enables text recognition, AI can take it a notch further by reading information in a document, categorising it, and automating a workflow based on that classification faster than a human ever could.
The even better news is that the process will only get faster with repeated action, exposure to more documents, and machine learning.
AI can perform text clustering, grouping documents by topic without prior classification.
This can help businesses to understand how one group of documents might be similar to others and help them make conclusions that prior to this, wouldn’t have been possible.
A good example of a company that already does this is Google; Google News uses text clustering to group related articles into separate categories.
AI can also impact how information is extracted, for example, through voice search queries, visual searches and more.
These AI-powered capabilities are expected to become staple features of ECMs in the near future, enabling users to easily and efficiently find the content they need.
Not only will future ECMs be able to make intuitive data suggestions, but the ECM interface could also morph to suit the user’s actions, patterns, and habits.
Not only through showing frequently visited categories or topics, but also through customising an interface based on the way a user works.
Delivering a seamless, optimised experience is essential not only to customers but also to employees.
Is the content available when they need it? Can they find it on a mobile device and in any timezone?
A strong ECM digital transformation enables engagement and collaboration across a business. A new ECM will change how people work and affect the way documents are managed right across your organisation. It's not an easy or quick decision, but our Enterprise Content Management Checklist will help you consider your options and identify the right ECM to meet your business needs.
KYOCERA Document Solutions provides document management solutions that improve document cost control and security, while delivering greater productivity, reliability and uptime.
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