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Following last weeks KIN Roundtable on Knowledge Assets, Steve Robson of Lloyds Register has shared the following amazing digital docs (you will need Flash enabled on your computer).I can't imagine the development and effort that went into these.iPad optimised no doubt!

In other words, innovate or die

The coming-of-age of artificial intelligence, 'social robots' and big data is having a massive impact on the way decisions are made in organisations. It follows that if we are to maximise know-how and expertise, the outputs from this technology-enabled channel must be integrated into how we work. Augmenting judgment and experience in this way also supports the move towards evidence-based decision making.

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. This animated presentation explains machine learning in simple to follow graphics.

"Knowledge can only be volunteered it cannot be conscripted. You can't make someone share their knowledge, because you can never measure if they have. You can measure information transfer or process compliance, but you can't determine if a senior partner has truly passed on all their experience or knowledge of a case. We only know what we know when we need to know it. Human knowledge is deeply contextual and requires stimulus for recall. Unlike computers we do not have a list-all function. Small verbal or nonverbal clues can provide those ah-ha moments when a memory or series of memories are suddenly recalled, in context to enable us to act. When we sleep on things we are engaged in a complex organic form of knowledge recall and creation; in contrast a computer would need to be rebooted. In the context of real need few people will withhold their knowledge. A genuine request for help is not often refused unless there is literally no time or a previous history of distrust. On the other hand ask people to codify all that they know in advance of a contextual enquiry and it will be refused (in practice its impossible anyway). Linking and connecting people is more important than storing their artifacts. Everything is fragmented. We evolved to handle unstructured fragmented fine granularity information objects, not highly structured documents. People will spend hours on the internet, or in casual conversation without any incentive or pressure. However creating and using structured documents requires considerably more effort and time. Our brains evolved to handle fragmented patterns not information. Tolerated failure imprints learning better than success. When my young son burnt his finger on a match he learnt more about the dangers of fire than any amount of parental instruction cold provide. All human cultures have developed forms that allow stories of failure to spread without attribution of blame. Avoidance of failure has greater evolutionary advantage than imitatio

October KM Community Call:KM Maturity and the PotentialROI

- Listen to the recording by copying and pasting the following link into your internet browser: http://webmedia.apqc.org/il80web20025/Marketing/Webinars/KM_CC_10_2011.wmv

When managers say they are data driven and ROI focused they are usually more intent on professing a belief than delivering results. They are, essentially, accidental theorists, putting their faith in an abstract idea rather than engaging in any true analysis of cause and effect. Despite what many will tell you, numbers can lie and only fools follow them blindly.

Michigan State University has over 450,000 alumni around the world. The school's University Advancement department sought to create a representation of alumni and donor sentiment and likelihood of philanthropic engagement based on data gathered from social media. However, these analyses often took weeks to process, limiting the school's ability to gather valuable insights in a timely manner. This case study describes how MSU leveraged business intelligence and predictive analytics to gain deep insight into an individual alum's potential to give, resulting in the following positive results: -An annual ROI of 55% -An average annual benefit of $34,434 -And more The case study purports to show how organisations can identify new opportunities for revenue generation by embracing a BI and predictive analytics strategy.

" A freely accessible online KM Toolkit with tools to cover the following techniques: After Action Reviews, Peer Assists, Knowledge Exit Interviews, Conducting a Knowledge Audit, Storytelling amd much more."

" Innovation Culture - MIT Sloane talk by the charismatic CEO, Terri Kelly. The top things I took from this inspiring talk are: - Staff turnover only 5% (the new hire process is lengthy and rigorous to ensure cultural fit) - CEO is elected by staff (CEO is one of the few job titles in the organisation - Costs are regarded as 'investments' - Every individual has a sponsor or coach - Leaders get there through others wanting to follow, not their power - Innovation culture is the MAIN driver of business results - Business units are no larger than 250 people (the founder talked about divide to multiply) - 'Give them the right tools, minimal bureaucracy, responsibility for P&L, expect people to lattice (network), organise around small teams'. Lastly, the culture at Gore has evloved of 50 years - it takes huge effort (equal to strategy and business development) and a lot of time to change culture I screen grabbed some of the culture survey questions that staff fill out about their leaders (not the other way round) http://members.ki-network.org/innovation/Innovation%20SIG%20Picture%20Library/Forms/DispForm.aspx?ID=1"

"When we had a Management Buy-in Sig within KIN, they used the Action Learning approach to MBI in their own organisations, their completed templates can be found by following his link. This gives a good indication of how these templates can be used in practice and may be of some value to those exploring this approach for the first time."

"This Action learning study led by out KIN associate Jenny Ambrozec will take place over three months from 1st December and the results will be shown at the KIN Spring workshop so take part or find out more about the study, then follow this link."

Follow this link to find out more about Professor Scarborough and his research in the area of KM"

Following Richard Wallis' presentation at the KIN Winter Workshop, here is a great example of how open linked data can add value, managed by LGID

This blog was initiated following a KIN WEB 2.0 Roundtable event as a way of sharing items relating to that topic. Any KIN members that would like to participate in adding entries to this blog, email me and I will set you up as an author

True "knowledge bites". For time-strapped individuals, these micro audio podcasts provide a glimpse into science based innovations. The only thing missing for me are links to follow-up, if the 60 seconds grabs my interest.

The following is a list of things that MOSS provides that WSS v3.0 does not.

"It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise."