Favorite People often ask us “how do we incentivise knowledge sharing?” I often answer “don’t bother. Incentivise knowledge seeking and re-use instead”. I give this answer, because knowledge sharing in itself achieves nothing. Knowledge needs to be sought and re-used before any value has been added, and re-use is often
Favorite Amazon Polly turns text into lifelike speech, which allows you to create voice-enabled applications. AWS is excited to announce the general availability of all standard voices in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. Customers in these Regions can now synthesize over 60 standard voices available
Favorite We all know that trust is a key factor in the success of Knowledge Management, but trust in what, and how do we build that trust? Image from wikimedia commons Trusting a Knowledge Management Framework is like trusting a vending machine – you put money in, you get chocolate out every
Favorite How do you measure the performance of your Knowledge Management team? What sort of KPIs should you choose? Image from wikipedia The answer to this question depends on the stage that KM implementation has reached. I suggest some KPIs below, for each of the different stages of KM implementation.
Favorite One of my favourite common-sense KM articles of all time is Tom Davenport’s 1997 article on the 7 deadly syndromes of Knowledge Management – still as relevant today as it ever was. Dating from the earliest days of KM, Tom points out seven Knowledge management pitfalls, all of which still
Favorite An effective Knowledge management communication message needs to appeal to the head, to the heart, to the hands, and to the feet of the audience. Here’s how. Communication is one of the 5 tools of KM culture change. Imagine preparing an internal presentation on Knowledge Management to one of
Favorite 5 years ago, in late 2014, I made an estimate of the number of knowledge managers in the world. Here is an update – the number has increased to over 47,500, of which 28% are in the USA. Number of knowledge managers per country Of course there is no
Favorite Developers are constantly training and re-training machine learning (ML) models so they can continuously improve model predictions. Depending on the dataset size, model training jobs can take anywhere from a few minutes to multiple hours or days. ML development can be a complex, expensive, and iterative process. Being compute
Favorite Developers are constantly training and re-training machine learning (ML) models so they can continuously improve model predictions. Depending on the dataset size, model training jobs can take anywhere from a few minutes to multiple hours or days. ML development can be a complex, expensive, and iterative process. Being compute
Favorite Knowledge Management often involves balancing two forces – Connect and Collect, for example, or value to the individual and value to the firm. If you are not careful, this balance can turn into pendulum swings from one factor to the other. Here is a story of this happening. Typical