Today we held our 191st monthly call. Thanks to John for presenting, to Linda Hummel and Andrew Trickett for speaking up, and to all those who attended. Please continue the discussion here by replying

#monthly-call #state-of-KM #data-science

Today we held our 190th monthly call. Thanks to Gavin for presenting, to Tim Powell and Linda Hummel for speaking up, and to all those who attended. Please continue the discussion here by replying to

#monthly-call #data-science #curation #COVID-19

Thanks a lot Mónica Henao Cálad Enviado desde mi iPhone

#data-science #monthly-call #AI

Hi Gavin, Congratulations on the grant and your progress. I think this is great and very useful. I’ll definitely look into it. My Best, Frank -- Frank Guerino, Principal Managing Partner The Internati

#data-science

Thanks Valdis, I agree the maps show a great deal of consistency so it seems fair to assume the underlying data collection is consistent. Thank you so much for the link to the paper, much appreciated!

#data-science

Hi Sreejith, I agree. Broadly stated, the gap is that managers don't know how to construct hypotheses about systems change informed by the data available. The ability to identify and implement interve

#strategy #data-science

Hi all, and hope everyone is safe … I’m busy developing an entirely remote technical training course for teaching data wrangling and validation for a team of people in Cote d’Ivoire. All the material

#data-science

A few months ago I wrote about a method I was developing to restructure messy spreadsheets into a single schema, and that this could be done in a drag ‘n drop interface. The thing that struck people m

#data-science #audit

Thanks, Stan, for everything you do to keep this community thriving and sharing! And, thanks to David for what I thought was an intriguing topic. I did not so much have a question but just a few thoug

#monthly-call #data-science

> By the way, your syllabus is excellent and way too good to hide under a bushel. I didn't see a licence -- are there terms to reuse / republish? Thanks, and I usually release my course material under

#metadata #data-science

See Setting up a Community of Practice for Data Scientists

#data-science #knowledge-graph

Hi All, Those of you interested in areas like enterprise-wide knowledge consistency, you find the article “Understanding the different forms and purposes of Reference Data for Master Data Management”

#data-science

Hi All, For those interested in Data Lineage concepts for KM, the following article covers Data Profiles… Article “Data Profiles as tools for Data Lineage and better Data, Information, Records, and Kn

#data-science

Hi All, For those of you interested in different types of Knowledge Repositories, the article “Understanding Configuration Management Databases (CMDBs)” covers a special type of repository that is gro

#semantic #data-science

Yeah, it amazes me that even within organisations – where one would expect people to be working towards a common goal – information is often isolated inside these weird silos. There’s lots of ways tha

#data-science #monthly-call

Interesting post today by business analytics guru, Tom Davenport. https://www.linkedin.com/pulse/its-way-too-late-know-where-your-data-tom-davenport?trk=hb_ntf_MEGAPHONE_ARTICLE_POST Gary E. Riccio, P

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Hi Stan, I dont disagree it is a form of crowdsourcing (Chaordix uses this definition too). As I stated above it is easy to lump everything under crowdsourcing like with KM. I added open communities b

#data-science #analytics

I agree that this kind of research often turns up insights that match prior intuitions. We find something similar when we do culture analysis using archetypes of behaviours. Nobody is ever surprised b

#data-science

Richard, A particular example is available here See http://128.250.230.47:8007/ I like this tool. I will send you some comments off-list. BTW I agree with you about the importance of visualisation to

#data-science #semantic

Stephen - Right ON! In fact, I’d take it further. Any knowledge services architecture that doesn’t include both structured (technology) and unstructured (social) aspects of KM will achieve only a shad

#data-science