We knew it was round the corner, but it arrived just as we were saying ‘bye’ to 2022. Generational AI may probably have brought to us what the future would look like for KM. In this article, we review a range of other emerging tech trends as well.
For those who are yet to get onto the bandwagon, generational AI makes content creation ‘a piece of cake’. Its applications are immense. I even got a poem recently written by AI, and I didn’t have to do any coding except send a request for a poem from Chat GPT.
What can generational AI do? Essentially it is content creation. It looks into existing patterns and based on that, it create new contents. Well, that is good enough to resolve many of the challenges that KM is facing.
Once we have generational AI trained for content generation within an organisation, then case studies, client presentations, and proposals can be generated in a matter of time. This frees up users to focus on fine-tuning the content generated.
Content generation in KM
What does this mean for KM? Well, one of the biggest challenges that KM practitioners have been facing is in ensuring quality content. Creating relevant content would become easy going forward. As a matter of fact, the role of KM practitioners would be to ensure relevant patterns are available for content curation. They will have to work on exposing content from which patterns could be identified and content could be created.
The skills expected of KM practitioners would definitely change. They will have to be even more technology literate. With the supply part of content being taken care of, what now needs to be looked into is the demand side.
Well, the demand side is not that bad. We have technology seeping in there also. All the relevant technologies are there. It is only how we bring it together that matters.
A key disruption that has been looming large for some time but yet to make an impact are digital assistants.
Digital assistants are common these days and we have become comfortable with them. However, they are not being used in organisations. Yet, they can be very powerful and can help individuals access information and perform tasks quickly and easily.
“Digital assistants can provide answers to questions, help users find information online, schedule appointments, and perform other tasks based on voice or text input. Digital assistants can also integrate with other productivity tools, such as calendars and email, to help users manage their time and stay organised. In this way, digital assistants can assist with the acquisition, organisation, and dissemination of knowledge, making it more accessible and useful to users.” (ChatGPT)
When we are talking about digital assistants, we should be also talking about our own digital avatars. That’s right, our avatars in the metaverse. In a few years’ time, every company will have a presence in the metaverse. The way websites are today, in future you cannot think of having a company without a virtual presence in the metaverse.
Metaverse is going to disrupt the way we work. If physically we are distributed, virtually we will be united. That is what metaverse is going to offer to you. What would be the role of KM practitioners?
Some of the key reasons why a KM practitioner was required will disappear with Metaverse. Everyone will be in the same location. It will be easy to find experts and work with them. Metaverse will boost sharing and collaboration and the role of KM practitioners will be to build a culture of sharing and collaboration in metaverse. They need to make individuals comfortable in sharing and collaborating via their virtual avatars.
Learning and knowledge
One area, however, that continues to be ignored by technology companies are tools that can help in managing and practising KM. While there are tools for the majority of the key areas of KM practice – including content creation, storing, searching, sharing – we do not have tools that facilitate lessons learned and institutionalisation of knowledge.
Technology for this is already there, however since there is no clear market, technology companies will not jump into it. It will be left to individual companies to design and build a tool for the same.
The road ahead
Before I sign off, let me share what Chat.openai.com has to say about future of KM:
“It is difficult to predict the exact future of knowledge management, but it is likely that technology will continue to play a significant role in the field. There may be increased use of artificial intelligence and machine learning to assist with the organisation and analysis of knowledge, as well as the development of new tools and platforms for storing and sharing information. There may also be a greater emphasis on the use of collaborative and social tools to facilitate knowledge sharing within organisations. In addition, the use of mobile technologies and the proliferation of remote work may lead to the development of new approaches to knowledge management that are better suited to distributed and virtual teams. Ultimately, the future of knowledge management will depend on the needs and demands of organisations and individuals, as well as the evolution of technology and changing business practices.”