How do you develop and maintain the skills and competencies needed for AI and knowledge management?

The fundamental point to confirm is that AI and knowledge management are not the same things. AI and generative AI is a tool and function as part of a comprehensive knowledge management solution but is not a replacement or alternative to a KM platform. Once this foundation is in place the question is how to leverage the benefits of AI together with a KM solution. Many organizations are planning and running internal developments and pilots to combine the tools. However, the most effective approach is to leverage a comprehensive KM solution providing AI functionality to enhance the user and author experiences, eliminating the need to customize or develop the tool.

Knowledge management and AI are not mutually exclusive, but could be considered complementary. KM is a brilliant source of data and information which an AI model can use to generate relevant and accurate responses. Equally AI offers the opportunity to enhance the KM solution by providing natural language interfaces, generating new content, and augmenting existing knowledge. KM may not be the key to successful AI stand alone, but could be considered a necessary component of it.

My two cents; just to put things in perspective, not all AI tools or systems are KM, however they are the extension of electronic Digital Devices conquering newer domains of processing & representation(very very powerful). AI itself is not KM, however Generative-AI is a super General Knowledge Management system which is excellent!! However, even these Generative AI tools has been trained with LLMS which consists of large volumes of datasets trained over period of time. so not all AI can be KM, however any Gen-AI is a KM system ! KM essentially is foundation for organizational Genefative AI, if they overlook KM, I am afraid the autogenerated solutions could be no better then non-google search results !!!

@sanjeev sahni You are completely correct. As AI purports to create knowledge, it defines itself as a subset of Knowledge Management

Integrating AI and knowledge management is exemplified in a tech company. Leveraging AI algorithms, you can automate the categorization and retrieval of vast knowledge repositories. This not only enhanced efficiency but also facilitated targeted insights. Knowledge management principles guided the seamless sharing of these insights across teams, fostering innovation. The synergy between AI's data processing capabilities and knowledge management's organizational goals showcased a real-world application, affirming that these disciplines, far from mere buzzwords, create tangible value when effectively combined.

I agree that collaborating and sharing your knowledge with your peers is a way to enhance your AI and Knowledge Management (KM) skills. I strongly believe that keeping abreast of new processes, and technology in AI and KM through attending webinars, listening to podcasts and attending/participating in industry conferences is an excellent way to enhance your knowledge in these areas. This is something I've done for many years and it has been and continues to be very effective!

You may be an expert. But others are too. Be open to learning. Many others have faced the same situations that you have. And their wisdom can guide your actions.

AI is a significant part of knowledge management, but I have always appreciated and relied on the human-centric aspects of knowledge management more so since it's the humans who build relationships that lead to the decisions and the reasons to incorporate AI in an organization. I appreciate AI, but I appreciate humans more.

Speaking from the angle of Project Management, implementing KM practices in projects enhances outcomes, promotes knowledge continuity, avoids past mistakes, and leads to on-budget project delivery. To stay updated, learn from experts. Read "The Fifth Discipline" for KM insights, listen to the "Knowledge Management Matters" podcast, take Coursera courses on AI, join PMI for networking, and attend the KMWorld Conference. Use LinkedIn Learning for certifications and follow industry blogs like KMWorld to keep your skills current.

Learn from seasoned professionals who have successfully integrated AI into knowledge management. Seek mentorship or attend webinars and workshops led by experts to gain insights and practical tips for leveraging AI tools effectively. Collaborate on projects or join communities where you can exchange ideas and learn from others' experiences. Emphasize practical applications over theoretical knowledge to develop real-world skills. Stay curious and keep exploring emerging AI trends and innovations to stay relevant and adaptable in this evolving field.

This is a really interesting one. When I moved into Knowledge management I was spoilt for choice in terms of case studies, textbooks and experienced people. There is little I have done in the knowledge world which hasn't come about from something I have copied, been inspired by or tested my thinking on in advance of delivery. Gen AI feels different. Its moving so fast and most of us seem to be on the same journey. I therefore feel like the only way to be successful is to experiment. Build a few hypothesis and then attempt to test them. I am working on 4 right now and happy to share. :-)

How you apply AI and what tools you use to act as your knowledge bases form an important component for the success of your AI-driven knowledge base. AI makes it possible for team members to receive knowledge inputs easily but it can also throw open any inconsistencies or gaps wide open. It is important therefore that before one applies AI, and even after its application frequent reviews are carried out to learn from mistakes and to plug the emerging gaps.

Look for opportunities at work or in personal projects where AI can enhance knowledge processes. Dive into AI-powered tools or platforms relevant to your field; this hands-on experience is invaluable. Don’t be afraid to experiment and make mistakes – that’s often how we learn best! Seek feedback from peers or mentors as you implement AI solutions, refining your skills along the way. Keep an eye out for new AI developments and trends, applying them where they fit best for optimized results.

In AI and KM, use tools like data analytics or collaboration platforms practically. For instance, after an AI workshop, apply machine learning algorithms to analyze customer data for business insights. Similarly, in KM, use knowledge-sharing platforms to encourage team collaboration and problem-solving. Applying these skills actively solidifies your learning and drives tangible results in your work.

See my comment above, if you keep working and experimenting, you will keep up with changes more or less automatically. No need for big plans or large implementations. Something new comes up; Design a quick safe-to-fail experiment; Analyze the results; Add the learnings to your knowledge

Here are some practical suggestions: 1. Subscribe to industry reports and journals like MIT Technology Review and Harvard Business Review to stay informed about the latest trends and breakthroughs. 2. Take Short Courses and Workshops: Enroll in short courses and workshops on platforms like Coursera and Udemy focused on emerging technologies and methodologies. 3. Join professional groups on LinkedIn and attend conferences like the AI Summit to exchange knowledge and stay connected with industry developments. 4. Continuously explore and experiment with new AI and KM tools and technologies. For example, try using TensorFlow for AI projects or Confluence for knowledge management.

The AI market is always changing, developing and providing more and more opportunities. It can help in many platforms, one of them is knowledge management systems. A good platform will adapt together with the AI toolkits, and will provide knowledge managers the opportunity to create and update knowledge much easier and for the end users the approach knowledge according to their needs.

Follow reputable sources like industry blogs, newsletters, or attend webinars and conferences regularly. Engage with online communities or forums where professionals discuss emerging AI technologies and KM practices. Continuously seek out learning opportunities such as advanced courses, workshops, or certifications to deepen your expertise. Collaborate with colleagues or join cross-functional teams to share insights and learn from each other’s experiences. Adaptability is key – be open to trying new tools or methodologies as the technology landscape evolves.

Staying current is key, like regularly updating your smartphone for new features. In AI and KM, it means learning about emerging technologies and industry trends. For instance, in AI, keeping up with advances in natural language processing helps improve chatbots' interactions. In KM, adopting new collaboration tools ensures efficient knowledge sharing. Adopting change ensures you're at the forefront of innovation and maximizes your impact in AI and KM initiatives.

Como director de gestión del conocimiento, he aprendido que en la era contemporánea, la lucha entre compartir el conocimiento y proteger la propiedad intelectual es fundamental para la supervivencia empresarial. Compartir el conocimiento impulsa la innovación y la colaboración, pero también debemos proteger la propiedad intelectual para mantener nuestra singularidad y competitividad. En esta encrucijada, debemos tomar decisiones éticas y estratégicas. Establecer políticas claras y educar a los colaboradores es esencial. La tecnología puede ayudar a proteger la propiedad intelectual sin obstaculizar la colaboración.

AI is so fast moving, I have learned three things. First, share your knowledge openly with people. Do that, and others will do the same. Make your experiences as practical as possible. Second, don't be afraid to admit what you don't know. With all this jargon floating around there can sometimes be a temptation to never ask what things mean, at the risk of appearing like you don't know everything. Third, admit when you have said something in the past that has turned out to be correct. This might help other people counter the same prior misunderstandings.

Here are some practical suggestions to share your knowledge: 1. Publish Your Work: Share your findings and insights in journals, blogs, or on platforms like Medium or ResearchGate. 2. Leverage Social Media: Use platforms like LinkedIn and X to share your knowledge and engage with a broader audience. 3. Join Discussions and Forums: Participate in discussions on forums to exchange ideas and feedback with other experts and learners. 4. Host Webinars and Workshops: Organize webinars or workshops through platforms like Zoom or Eventbrite to share your expertise and foster learning within your community. 5. Actively contribute to your organization's knowledge base or platforms like Confluence to ensure valuable information is accessible to all.

First determine the audience you're willing to share with and what you want to share where. Internal sharing within the company can go further than externally with customers and then the sharing with peers. Not everyone needs to know everything. As a small company or entrepreneur, it may be tempting to overshare in an effort to build a name. Sit down first and discover what information could trigger the curiosity of an intended audience to come and ask for more that you can then market as your product or service. If you have something innovative that is hard to keep a secret, consider getting a patent. That way you can share more, and share your knowledge through licensing. When getting a patent, be cautious about timing your publication.

Engage in discussions on forums, social media platforms, or industry-specific groups to share insights and learn from others. Write articles or blog posts discussing AI and knowledge management topics, sharing your experiences, challenges, and lessons learned. Offer to mentor or coach colleagues or junior professionals in your organization, helping them navigate AI concepts and KM strategies effectively. Remember, the more you share, the more you learn and grow alongside your peers!