How artificial intelligence is revolutionising ECM capabilities

With technological advances, such as the Internet of Things (IoT) and cloud computing, we have more data at our fingertips than ever before. This presents huge opportunities for businesses that can capitalise on this data – but it also presents big challenges in terms of how businesses collect, process and store information. And these challenges are only going to grow – by 2020, the worldwide volume of data will increase tenfold, from 4.4 zettabytes to a whopping 44 zettabytes (1000x1000x1000 Terabytes).

Enterprise content management (ECM) systems already play a key role in helping businesses deal with this onslaught of data and smooth the flow of information through an organisation – and with the rapid development of artificial intelligence (AI), ECM capabilities are set to become far more powerful.

AI and machine learning, as part of intelligent automation – the use of technology to perform tasks typically done by humans – are the key to unlocking value from all available information. Not only is Intelligent Automation (IA) capable of handling enormous volumes of data faster and more accurately than human intervention alone, but it can also learn from that data to deliver even better results. In turn, AI depends on ECM to provide the large amounts of clean data it needs to operate at peak performance.

Here are just some of the ways AI is revolutionising – and will revolutionise – ECM capabilities.

Robotic Process Automation (RPA)

An AI-powered ECM solution can be trained to extract. Tag documents through Robotic Process Automation (RPA), learning to automate tasks such as identifying document types based on content, identifying the appropriate action where the document should be stored, extracting key metadata fields based on values in the document, starting appropriate workflow processes, and automatically responding to incoming documents.

RPA tools could even be used to interpret applications, process simple transactions, and trigger automatic responses, such as sending an email.

More advanced data capture and indexing

ECM solutions already integrate and manage all sorts of unstructured data, including images and audio files. But with AI-powered image recognition technology, for example, pictures can be auto-tagged at upload and the text within them captured, all without human intervention.

Similarly, AI-powered voice recognition can be used to extract valuable information from audio files, enabling businesses to access previously inaccessible insights.

Emerging semantic and natural language processing technologies “understand” the meaning of words and their relationships in Dark Data unstructured documents and can provide comprehensive text analysis to identify key content elements and their relationships.     

More advanced search capabilities

AI won’t just influence how information is indexed, but how it is extracted. Voice-driven search queries are on track to become the dominant search mode, and companies like Google and Facebook have also enabled visual-driven searches.

Expect to see these AI-powered capabilities in ECM solutions, enabling users to quickly and effortlessly retrieve relevant content.

Natural language processing (NLP) and natural language understanding (NLU)

AI enables NLP and NLU, allowing ECM solutions to understand data and context at a deeper, more semantic level for more intelligent processing.

With AI, the system could, for example, analyse the language used in emails and other unstructured documents to establish context and intent, and to decipher relationships to accounts, projects and cases, making information easier to retrieve when required.

More intelligent redaction

Data regulations, such as the GDPR and the Notifiable Data Breaches (NDB) scheme, mean organisations must be diligent in protecting their customers' data and privacy, particularly when it comes to personally identifiable information (PII).

Automated redaction powered by AI can help to protect such data, thereby minimising the risk of a data breach. For example, an ECM solution could learn to recognise sensitive information (such as bank account numbers or tax file numbers) based on specific patterns and suggest redaction. Eventually, the system would become accurate enough that the redactions could be applied automatically with a high degree of precision.

Unlocking of historical data

Businesses typically have all sorts of data locked away in content silos, mainly in the form of complex documents that were previously too difficult or cumbersome to access.

AI and ECM capabilities can unlock this data by quickly reading and processing stored documents to extract information, augment index information, and convert old files to newer, searchable formats. This means businesses can put their historical data to work, deriving new insights.

While true AI can take time to develop, businesses should look to digitise and store their data with a comprehensive ECM solution that provides entry-level AI capabilities now, to ensure they’re poised to reap the benefits of future AI applications. Make sure your business doesn’t get left behind.

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 with ECOSYS technology to reduce the total cost of ownership (TCO) and minimise the impact on the environment, while delivering greater productivity, reliability and uptime.