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Dm TECHNOLOGY: CONTENT SENTIENCE Content sentience: the natural next evolution of enterprise AI Deep-learning expert Dr John Bates of SER asserts that the technology is already close to taking over the chore of reading documents, handling emails and more It's only a matter of time before documents and content more broadly develop 'consciousness'. ChatGPT and other Generative AI tools have already made it much more intuitive to interact with large banks of knowledge, as deep learning algorithms distil key points with increasing accuracy and present them to users via the medium and format of their choosing. The next obvious step is for enterprise documents to carry a built-in understanding of what they are and what they contain, so they can 'speak' directly to recipients or processing teams (or their automated proxies). They could even file themselves based on their identified properties, telling relevant IT systems about themselves. Already on the near horizon, this development could arguably become the most important advance in the automation of documents since the invention of the printing press. That's thanks to the potential to revolutionise enterprises' comprehension of content in all of its available forms, and the knowledge it contains. Consider the potential for visual walkthroughs of entire company information libraries. Language, meanwhile, will become seamless. Very soon, teams will be able to ask English questions of a German document, for example, and the same in reverse. ENDING ENTERPRISE EMAIL TEDIUM As content becomes more 'conscious' and able to relay information about itself, the need for overstretched human professionals to visually scan, respond/address, or discard individual email messages will go away. Business email is already on a sharp downward trend, having been superseded for many exchanges by more spontaneous and collaborative chat and content exchange platforms such as MS Teams. In due course, for still-entrenched triggers of email communications, including requests for information or actions, or attached invoices, contracts, or applications, those items will simply announce and identify their presence and file themselves or trigger automated processing, according to their type and priority level. BOTS AS HUMAN PROXIES AT MEETINGS Next-gen AI also promises to remove the pain of attending meetings. Just as virtual meetings were boosted by the pandemic, the obvious next development is for teams to send bots to these sessions - to witness what's being said, take notes and inject points to consider. In the new paradigm tools will only bother people when their expert input or a next-level decision is needed. In the meantime, AI/deep learning tools will do the heavy lifting, freeing up people's valuable time for higher-level tasks and decisions. Certainly, algorithms are improving all the time and as long as teams devote the time to training their bots, the results will be swiftly honed, steadily lightening the manual workload. We might say we've entered an era of "institutional memory"; of content collaboration - where AI draws all the findings together and reports the lay of the land, while humans focus more on the implications. SUPERFICIAL RPA WILL BE RETIRED AI is likely to see off robotic process automation (RPA) too. Although RPA tools can accomplish routine tasks very well, this value is now being surpassed by that of real, adaptive machine intelligence. This is about discerning new and better ways of doing things, rather than merely replacing a human-based set-up with one managed by technology. Again, nextgeneration AI provides the key here - learning from and responding to the data being fed back from current processes and their outcomes. More info: www.sergroup.com 26 @DMMagAndAwards January/February 2024 www.document-manager.com
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DM Jan-Feb 2024

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