In this hyper-connected era and ubiquitous computing world, a tsunami of knowledge is being generated and shared by organisations.  The key concern is that knowledge alone cannot work its magic.  Knowledge should be tied to action to deliver real value in the form of cutting-edge innovations and streamlined internal processes. As technologies advance and ways of working change, knowledge management should also be redefined to achieve maximum benefits. Here is a list of some of the notable knowledge management trends that you cannot miss out on. 1. Cloud Continues to Rule Cloud hosting is a great option that is incredibly flexible and secure. To make the most of a SaaS knowledge management system, you need two things – an internet connection and a device (laptop, mobile phone, or desktop). Modern cloud-based knowledge management systems are based on a subscription model where you just pay for the services you opt for. 2.       Friendly User Interface for Effortless Navigation A good user interface facilitates a smooth interaction between the user and the knowledge management system. It is not just aesthetically pleasing but also responsive, uncluttered, and easy to navigate. 3.       Social Media Elements for Higher Engagement There is a reason why people love using social media. It keeps them connected and informed just with a few clicks and swipes. Features like activity streams, votes, likes, comments and instant sharing facilitate the culture of ‘collaboration with a click’. 4.       Information Mobility Mobile technology is here to stay for a long, long time. One major reason behind this is the heightened convenience and accessibility it provides. Today, most of the knowledge management systems are compatible with mobile phones, making information available in a flash, whether your employees are in the office or working remotely, or traveling. This information mobility promises higher productivity, better decision-making, and borderless collaboration. 5.       100% Customisation To offer feel-good experiences to employees, a knowledge management system must literally feel familiar to read and browse. A lot of information can overwhelm readers, but the way it is presented can make all the difference between good and poor employee experience. 6.       AI-Powered Search for Quick Content Discovery A knowledge management system amounts to nothing if it does not have a powerful search engine. That is why AI-powered search that works at the speed of light is a prominent knowledge management trend for this year and all coming years. Unlike a normal search system, AI-supported search produces the most relevant results after analysing the user’s search history and the context of the query. 7.       Support That Never Sleeps Customers are the primary source of revenue for any kind of business. That makes customer support an important area that cannot be ignored at any cost. Besides knowledge sharing and collaboration, a state-of-the-art knowledge management system can even help in customer support. Seeing this possibility, businesses today are employing knowledge management systems for both internal and external use. 8.       Media-Rich Content for Higher Engagement Traditional knowledge management systems consisted of lengthy documents and guides. Today’s knowledge management trends are in line with what employees want – a seamless and engaging knowledge-seeking experience. More focus is now given to content that is a rich mixture of text, images, and videos. 9.       Real-Time Notifications to Keep Employees Updated Every member having access to your KMS will get instant notifications regarding article updates, new sections created policy changes, and much more. 10.   Pragmatic Analytics for Impeccable Experiences Companies today know the tremendous power of data and analytics. Analytics helps you understand your KMS and related employee experiences in ways you cannot even imagine. Right from what your employees frequently search for to the path they take through your knowledge base, analytics decode every little activity. Analytics gives actionable insights into how many employees access your knowledge base, the language they speak and the country they live in, the bounce rate on specific pages, and much more. 11.   Powerful Collaboration Tools A knowledge management system is slowly becoming an all-purpose tool, with companies now trying to use it for both knowledge-sharing and collaboration. One of the major benefits of a knowledge-based management system is that it facilitates company-wide knowledge exchange. 12.   Flexible Management of User Roles & Permissions One of the notable features of a knowledge management system is its ability to streamline user management and define each member’s roles and responsibilities. You want a culture where employees can contribute their knowledge, share suggestions, and receive feedback, but with some level of governance. Flexible user management with you having complete control of what each user is responsible for is one of the most notable knowledge management trends for the future. 13.   Digital Workspaces A knowledge management system is a social platform where information is shared, organised, and stored securely. A digital workspace is a new idea in knowledge management that keeps your intranet segmented and organised for easy reference. If implemented, it can streamline the way knowledge is managed and shared across departments. 14.   Discussion Forums A knowledge management system is incomplete without a discussion forum. Simply coming to the KMS, sharing and retrieving information from the articles written is old school. Modern knowledge management solutions are equipped with a full-fledged discussion forum where employees can ask questions and get a response within seconds. 15.   Knowledge Bots For Prompt Access to Information The ultimate goal of a knowledge management system is to make knowledge-gathering a seamless, uninterrupted process. Knowledge bots help you achieve just that. Knowledge bots deliver relevant answers at the speed of light through chat or voice mediums. Knowledge bots act as personal assistants giving employees everything they need at a moment’s notice.

KM reference (https://www.knoco.com/knowledge-management.htm ) Story-powered communication / business story-telling (https://www.anecdote.com/ ) Real KM - evidence based, practical results (https://realkm.com/ ) Green Chameleon Blog (http://www.greenchameleon.com/ ) APQC (https://www.apqc.org/expertise/knowledge-management ) Knowledge Management Global Network (KMGN) (https://www.kmglobalnetwork.org/ ) Cynefin Co. - making sense of complexity (https://thecynefin.co/our-thinking/ ) The KMedu Hub - The Body of Knowledge for Knowledge Management Education & Training (https://kmeducationhub.de/ ) Gurteen Knowledge Website (https://www.gurteen.com/gurteen/gurteen.nsf/ ) KMWorld (https://www.kmworld.com/ ) Stan Garfield’s KM Site (https://sites.google.com/site/stangarfield ) Step Two Designs (https://www.steptwo.com.au/services/expertise-knowledge-management/ )

Originally published by KMI Dec 06, 2023 | By KMI Guest Blogger Alicia Rother We frequently hear the phrase "knowing more means accomplishing more" in our modern, data-saturated world. Even though organizations possess vast quantities of data, the true challenge does not consist solely of data collection. The true trick is to handle it properly and make sense of it. Thankfully, that's where AI comes in! Artificial Intelligence (AI) is changing the way we store, organize, and use information to better face future problems and gain a competitive advantage. Read on to learn more about how AI is changing Knowledge Management (KM) and the tools that make it happen. Let's see how AI can help! How Knowledge Management (KM) Has Progressed Over Time? In the past, knowledge management relied heavily on manual record-keeping. However, that evolved into digital repositories of knowledge and content management systems. The organized process of producing, gathering, saving, and sharing information within a company is called knowledge management. Conventional methods of knowledge management significantly depended on manual labor, including the setting up of documentation repositories, intranet portals, and databases. But it turned out that these methods required a lot of work, took a long time, and weren't always effective. The digital era has brought up new issues due to the vast amount and complexity of data. It's getting harder and harder for typical knowledge management systems (KMS) to keep up with the fast growth of unorganized data, which makes it harder to access and use knowledge effectively. AI's Role in Knowledge Management AI has changed the way information is managed in big ways. However, knowledge and information management are equally essential to AI. Like in everything else today, this technology is playing an important role here too. If you consider fields like graphic design, AI tools have already taken over conventional methods. Similarly, the data that an AI model is trained for in KM may have a major impact on its performance. The AI is more likely to give accurate responses when it is trained using information that is precise, current, and carefully structured. MIT researchers found that adding a knowledge foundation to a language model improved output and reduced hallucinations. Thus, rather than eliminating the necessity for KM, advancements in AI and machine learning merely increase its importance. The following is a list of 11 different ways that artificial intelligence has been used to solve some of the complex problems that everyone who uses KM solutions has to deal with: ➢ Advanced Analysis: AI can identify patterns and trends in massive data sets and provide useful insights. To do so, AI processes data using statistical models and machine learning methods. By looking at how factors are related to each other, AI can find patterns and trends that people might miss. This is more than just adding numbers together; it's figuring out what the organized data means. KM uses pattern recognition and natural entity extraction to find related information. ➢ Proactive Knowledge Discovery: AI can actively search for fresh, relevant information, guaranteeing that knowledge bases are constantly up-to-date. AI uses unsupervised learning methods to identify patterns in unstructured information, such as association and clustering. This uncovers new insights and goes beyond simple data retrieval. An intriguing example of this use case is how the finance division of a Fortune 500 business uses AI to analyze a variety of economic data to find unusual investment possibilities ➢ Collaboration Tools: Predictive analytics may predict user requirements and offer appropriate papers or meeting schedules based on behavior, enhancing individual productivity. AI teamwork tools let people talk to each other in real-time, share documents, and work together to solve problems. Based on what teams have done in the past, they can get advanced ideas for how to share documents or schedule meetings. ➢ Intelligent Search: AI combines conventional search algorithms with semantic knowledge. It can figure out what the user is trying to say by inferring context from their questions. This makes sure that search results fit what the user wants instead of just matching keywords. Employees may now get accurate, contextually relevant info even when they look for confusing or frequently used phrases. ➢ Content Tagging and Categorization: Artificial Intelligence can automatically tag and classify newly entered data, thus guaranteeing consistency, decreasing redundancy, and eliminating the labor-intensive process of manually classifying data. Using supervised learning, the AI is instructed on pre-labeled data. It is hardly unexpected that KM systems have embraced this feature broadly, as it greatly minimizes the work involved in selecting and organizing content. ➢ Smart Chatbots: To understand what users are asking, chatbots use Natural Language Processing (NLP). These chatbots provide fast access to information, offering essential information on demand. ➢ Expert Systems: AI makes choices in expert systems based on a set of rules that have already been set. The rules come from a human-in-the-loop, which lets the system act like a human expert in certain areas, making sure that accurate information is transferred. When used appropriately, AI-based expert systems can (mostly) replicate human decision-making and transform implicit information into organizational knowledge, which is essential to successful knowledge management. ➢ Recommendations: AI can make suggestions for related content or courses by learning how each user acts, which improves adaptation. With a corporate learning platform, for instance, employees may get recommendations for courses based on their learning history and the preferences of their colleagues in comparable positions. ➢ Virtual Assistants: Virtual assistants employ NLP to interpret user requests and task automation algorithms to perform a range of activities. While these AI-powered tools can process content, set notes, and even summarize long papers, they make KM tools more engaging for users and easier for them to use. ➢ Creating Content: AI can mine datasets, make outlines and reports, and make sure that knowledge bases are always being updated and expanded. It may also use NLP to make sure the content's language is appropriate for the target audience. This feature lets strategy teams automatically make outlines of 50 pages or more documents or a group of documents. The same feature may be used by sales teams for generating battle cards for major rivals or account profiles for mining current clients. ➢ Knowledge Transfer and Sharing: AI may assess user behaviors and propose relevant content to them. This feature could be used by the IT-KM function to automatically offer a new IT training program to workers whose past contacts show they need an update. Tips on How to Use AI in Knowledge Management For organizations to get the most out of AI in KM, they should think about the following strategies: Set Clear Goals: Write down clear objectives for incorporating AI into KM. Having clear goals is important whether you're trying to improve customer service, streamline internal processes, or spur new ideas. Ensure Data Quality: The quality of the data supplied into the system is critical for determining the accuracy and dependability of AI-driven insights. AI models should be updated and improved regularly to make sure they stay useful and effective. Emphasis on User Adoption and Training: Workers should get training on the efficient usage of AI-driven knowledge management systems. To get the most out of AI in knowledge management, people need to know what their job is in this new environment. Prioritize Privacy and Ethical Considerations: Make sure AI systems are fair and neutral and create strict privacy measures. This is essential for trust and data protection. Acknowledge Continuous Improvement: The domains of AI and KM are ever-evolving. To stay ahead of the game, tactics and tools need to be updated and improved regularly. Conclusion There is no doubt that AI will play a big role in the future of KM. By properly incorporating AI into KM plans, firms may achieve unparalleled levels of efficiency, customization, and strategic insight. Getting there will take careful planning and attention to things like data quality, the right way to use AI, getting people to use it, and always being able to adapt to new technologies. The possibilities for growth and advancement are endless as we go forward into the intelligent future of KM.

Knowledge Management South Africa (KMSA) Awards for Excellence KMSA IMBIZO August 2024 2024 Award Winners 2024 Champion Award Winners Constance Kekana and Kelebogile Mosimege 2024 Champion Award Winner Constance Kekana 2024 Legacy Recognition of an Institution Won by University of Johannesburg Department of Information & Knowledge Management Prize accepted by Martie Mearns 2024 Legacy Recognition Winner Joanne Cornelissen (prize accepted by Retha Prinsloo) Our prestigious Chairpersons Award went to Elmi Bester

EVENTS KMSA Event Schedule 2024 Upcoming Events Webinars every 2nd Tuesday of the month from 13:00 – 14:00 • Free for members • Registration fee for non-members January - KMSA questionnaire data collection 12 March – Webinar facilitated by Hanlie Smuts Theme: Knowledge automation through using Generative AI 9 April – Webinar Theme: Knowledge discovery – the art of using data to tell a story ​ 28 May - Webinar The implication of knowledge management in growing technical skills ​ Autumn Newsletter 9 July – Webinar Theme: Shifting your focus from knowledge capture to knowledge creation 21-22 August KMSA Imbizo Theme: Championing a knowledge-sharing culture 10 September - Webinar Theme: Is data still the new oil of the digital economy? Spring Newsletter 8 October – Webinar presented by Hanlie Smuts Theme: What does KM and UX have in common? KM Global Week: The third week of October (Oct 14-20, 2024 ) marks our global KM Week , with the HacKMthon event on October 15th. I invite your network to align your annual or seasonal events with this global celebration to amplify our collective voice and impact ​ 12 November – Webinar Theme: To enhance, or not to enhance, your KM governance framework Past Events 16 - 21 October - KM Week 19 September - Panel Discussion - Panel Discussion: Collaboration: Applying and adapting a KM practitioner’s toolkit in a hybrid KM future 21 & 22 August - Imbizo - "The future of Knowledge Management is hybrid " 11 July - Webinar - "Data rich, but knowledge poor” - Speaker: Charl Theron June - Webinar - AI, ML, cloud are not traditionally part of the KM practitioners toolkit – key considerations. 30 May - Panel Discussion - Reporting line of a KM function for optimal success: cases and use cases, different models. March - Webinar - The metaverse and implications for KM and practitioner Need more details? Contact us We are here to assist. Contact us by phone, email or via our social media channels. Contact Us

Registration Sponsorship Speakers Awards Platinum Sponsor: Gold Sponsor: Silver Sponsor: Convention Programme PHYSICAL REGISTRATIONS (From 1 June 2024) KMSA Paid-up Members: R4 000 Non-members: R5 000 Speakers: R3 000 Student / Retired: R 850 ​ PHYSICAL EARLY BIRD REGISTRATION (Closed on 31 May 2024) KMSA Paid-up Member: R3 500 Non-members: R4 500 Speakers: R3 000 Student / Retired: R 850 ​ VIRTUAL REGISTRATION KMSA Paid-up Members: R2 000 Non-members: R2 500 Speakers: R1 800 Student / Retired: R 550 ​ ​ Please note that online registration is now closed, should delegates which to attend in person they can register at the venue. Virtual attendees can contact kmsaservices@vdw.co.za Platinum Sponsor: Gold Sponsor: Silver Sponsors: Dr Thinus Bekker Dr. Thinus Bekker, General Manager Applied Research and Knowledge Transfer at the Rand Water Institute. He is an Independent Non-Executive Director with a PhD in Digital Governance, Certified Director, ITIL and PMP certifications, and 33 years of experience in the digital technology and information industry. He is involved in academia as post-graduate co-supervisor and assessor. Bavuyile Swekile Bavuyile Swekile is a student from The University of the Western Cape, currently pursuing her Masters in Library and Information Science focusing on the use of ICTs in support of Knowledge Management in research institutions. She did her Bachelor of Library and Information Science at the University of her and also did Honours in Anthropology at the University of Fort Hare. While trying to find her career path Bavuyile has been working at The University of the Western Cape Library as a student assistant, currently she’s working at the UWC library as a research assistant. ​ Hein Spingies Hein Spingies brings over 30 years of extensive expertise in Knowledge, Records & Document, and Information Management across diverse sectors, including entertainment, finance, government, and telecommunications. With a strong focus on implementing robust strategies and leveraging cutting-edge technologies, Hein excels in optimising knowledge harvesting, sharing and dissemination. ​ As the Knowledge Manager at the Road Accident Fund (RAF), Hein spearheads initiatives to enhance and innovate business processes and foster the adoption of best practices. His previous roles include overseeing Information Resources at the NRF, leading KM projects at IBM, where he designed KM, ECM and Records Management strategies for large and medium corporates and the implementation of electronic library management systems. Dr Kavisha Nandhlal Dr Kavisha Nandhlal is the Founder and Director of The Innovation Space (PTY) Ltd. Her company has a core focus on consulting in innovation, design thinking and research. She is the author of the book, Initiate DESIGN THINKING that highlights how design thinking can be used to forge new pathways towards sustainable development. Nelisiwe Jama Nelisiwe Jama, is a registry clerk at Private Security Industry Regulatory Authority (PSIRA). She resides in Pretoria but born in Kwazulu Natal. She is a Masters student at the University of the Western Cape. Her goal is to embark on the academic journey and specialise in knowledge management and also to be able to preserve and harvest indigenous knowledge. Kelebogile Mosimege Kelebogile has been working in various roles within the information services field for over 15 years and is currently employed as a DD: Information & Knowledge Management at the DCoG. Her qualifications include a BIS in Library Science from UP, an Honours degree from UNISA, and a PostGraduate degree in Info & Knowledge Systems from Stellies. She is also currently pursuing a Masters degree. Kelebogile’s passion lies in identifying best practices and finding solutions to knowledge management challenges in local government, which is the focus of her Masters thesis. Lauren de Kock ​ Ms Lauren de Kock is an acclaimed trainer and speaker and has equipped numerous NGOs around South Africa to develop and strengthen their improvement programmes. She is the Regional Director of Quality Improvement for Aurum Institute, which is a proudly African organisation working to advance health science and innovation to create a healthier world for future generations. She is currently supporting to the National Department of Health, HIV and STI programme, by developing, testing, and spreading a national QI programme. Lauren has a track record of using innovative and diverse methodologies to empower professionals and their organisations acquire, implement, and apply knowledge and skills to change their behaviour and the systems in which they work. She led the development of and has authored numerous teaching aids and educational tools for health care providers, that have been endorsed by the National Department of health and are widely used throughout South Africa. Joadine Freeman ​ Ms Joadine Freeman is the SALGA Senior Advisor for Knowledge Management. Joadine Freeman is a passionate Knowledge Management professional, specializing in knowledge and content management. She passionately champions the importance of knowledge sharing and collaboration, viewing them as crucial components in achieving organisational objectives. Dr Nikiwe Momoti ​ Dr Nikiwe Momoti teaches Knowledge Management at the University of the Western Cape (UWC). She has held several Senior Management positions managing ICTs, Knowledge and Information Management, Records, Archives and Libraries. Please click here for more information on the KMSA IMBIZO 2024 Awards