How Generative AI Is Affecting Knowledge Management

How Generative AI Is Affecting Knowledge Management

Agile Knowledge Management And AI In 2023, the Forrester report on agile knowledge management positioned knowledge management’s success as an agile practice instead of the waterfall approach that organizations have embraced for decades. Knowledge is at the core of innovation, and enhancing knowledge management practices helps accelerate the flow of ideas and collaboration. Moving knowledge management toward agility is why we are excited about the advancements in generative AI capabilities, such as ChatGPT.

Generative = The Power Of The First Draft

One of the critical tenets of knowledge management is knowledge sharing. When knowledge workers share what they know, others benefit from using that knowledge. There is less rework and better operational efficiencies. (note: Definitely.) Based upon what is entered into a system of record during a transaction with an end user or customer (ITSM, ESM, CRM, etc.), prior LLM training on ticket data, and prior curated knowledge articles, a new solution can be generated for the knowledge worker to review and approve as a draft solution. Real-time knowledge management is possible in the workflow of the knowledge worker.

Transformative = Create Knowledge From Facts And Procedures From Policies

LLMs excel at transforming data from one state into another. In the knowledge management use case, this means enabling any knowledge worker to be a knowledge-creation expert. Using an LLM and generative AI, a knowledge worker investigating a reported error can create a knowledge article from a product document with a workaround. The transformative capabilities make it easier for all knowledge workers to be creators of knowledge.

Machine Learning = Continuous Improvement With And Without Human Effort

In the modern organization, the rapid pace of change and innovation means that knowledge is constantly changing and that updates and improvements to knowledge need to happen within knowledge worker workflows every time knowledge is used. Once knowledge is surfaced, the human in the loop can review and provide feedback — not just the simple thumbs up or thumbs down but also by adding their experiences to improve the surfaced knowledge. An essential aspect of knowledge management is the relevancy of content. An organization’s knowledge management efforts are only as effective as the quality of captured knowledge. When organizations do not have an extensive knowledge base of reliable solutions, synthesizing publicly available data can help them improve their LLM training. The ability to choose specific sites and content can broaden the effectiveness of the internal knowledge base and create a better support experience for the technical analyst, improve knowledge transfer directly to end users, and increase in self-service success.

Conversational = Easy-To-Understand Language Improves End User Self-Service

"Single-tasking: the power of focusing on one task at a time"

In fact, psychiatrist Edward Hallowell defined multitasking as a “mythical activity in which people believe they can perform two or more tasks simultaneously as effectively as one”. (note: Good description) Rather, its meaning was related to computers performing more than one task at once. (note: I see.) As humans, although it might seem that we’re performing multiple tasks at the same time, the reality is that we only work on one task at a time. (note: Exactly.) As Canadian author Michael Harris puts it: “When we think we’re multitasking we’re actually multi-switching”. (note: Also good description.) They found that “the human mind and brain lack the architecture to perform two or more tasks simultaneously.”

While micro-level multitasking, such as responding to an online work chat while producing a report, will lead to lost efficiency, it’s important to note that macro-level multitasking can be achieved when you are balancing several projects at once. However, in most cases, research shows that single-tasking is the most efficient way of working, as it avoids switching costs and conserves energy that would be expended by mentally juggling multiple competing tasks. In 2016, an analysis of 49 studies found that multitasking negatively impacted cognitive outcomes. Students who multitasked in class failed to offset the damage done to their final grades, even if they put in additional hours of study at home to try to make up for it. (note: Interesting.)

Focusing on one task can, surprisingly, boost creativity. (note: Good.) By focusing on one workstream, inspiration and creativity can bloom because you are not trying to split your focus in multiple directions at once.

Use the Pomodoro technique. The Pomodoro technique involves working for 25 minutes and then taking a 5 minute break. As we have become accustomed to so-called multitasking, learning to focus on one thing takes time, but it is worth the effort. By creating an environment free from distractions, using techniques to boost your focus and incorporating regular breaks, you are likely to become more efficient and ultimately more successful.

Incorporating Generative AI into knowledge management practices can bring transformative changes. The ability to generate draft solutions in real-time within the workflow of knowledge workers enhances collaboration and accelerates the flow of ideas. By enabling any knowledge worker to be a knowledge-creation expert, generative AI empowers organizations to tap into the collective intelligence of their workforce.

Moreover, the continuous improvement capabilities of machine learning ensure that knowledge management stays relevant in a rapidly changing environment. Through feedback and incorporating experiences, organizations can improve the quality of captured knowledge and provide better support experiences for both technical analysts and end users.

In conclusion, the combination of generative AI and agile knowledge management practices opens up new possibilities for organizations to enhance their knowledge sharing and creation processes. By embracing single-tasking and focusing on one task at a time, individuals can improve their efficiency and boost their creativity. Incorporating the Pomodoro technique and creating a distraction-free environment can further enhance productivity. As knowledge management continues to evolve, leveraging the power of generative AI and adopting effective work strategies can lead to improved collaboration, innovation, and overall success.