I created PoC for merging similar system requirements and performing gap analysis between vendor documentation and internal company SOPs and policies.
Everything in Python flask + Azure OpenAI. I am working on moving AI part to Claude Sonet. Seems that results are bit different since GPT model has more rough approach to merging requirements and also less sensitive to finding gaps.
From my experience, these resources are worth read:
[1] Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop
Andreas Brandmaier's permutation distribution clustering is a method rooted in the dissimilarities between time series, formalized as the divergence between their permutation distributions. Personally, I think this is your "best" option
http://cran.r-project.org/web/packages/pdc/index.html
Eamonn Keogh's SAX (Symbolic Aggregate Approximation) and iSAX routines develop "shape clustering" for time series
There are approaches based on text compression algorithms that remove the redundancy in a sequence of characters (or numbers), creating a kind of distance or density metric that can be used as inputs to clustering, see, e.g.:
This paper by Rob Hyndman Dimension Reduction for Clustering Time Series Using Global Characteristics, discusses compressing a time series down to a small set of global moments or metrics and clustering on those:
Chapter 15 in Aggarwal and Reddy's excellent book, Data Clustering, is devoted to a wide range (a laundry list, really) of time-series clustering methods (pps 357-380). The discussion provides excellent background to many of the issues specific to clustering a time series"
As was already mentioned. Trustness is the key. You need to be a trusted partner for such sensitive type of work.
Wrong people with root access to core infrastructure can make much more damage and cost more than problem which isn't solved at all.
There is also no space for learning on-the-fly. You have to know what you are doing, and how to perform certain steps correctly (t-shoot, recovery, migration).
From my experience, almost all my contracts (> 90%) came from word-of-mouth. Almost all online and printed advertisements, online profiles were waste of my time and resources.
Also, if friend of mine recommend me to someone else, I can believe that I will get paid (or there is only low risk). In case of blind-contract via internet, there is still a bigger risk that you will not get paid. I am not sure if I can (and want) trust published ratings on such web-pages.
I have 10 years of experience from various ICT areas like network (5 years) and security (6 years), various project size, quality assurance, sw development, currently cooperate with local startups and their new IoT products. Looking for: technical problems to solve, product development, prototype development, optimization,innovation,software automation, proof-of-concept.
I am open for more detailed discussion about my past projects.
"Banks seems to have many layers of checking for potentially suspicious activity,..."
I don’t think so. I had this kind of incident and nobody from bank noticed it (60 euro paid over night 3:35 AM from central europe to fake company somwhere in tax paradise, summer 2014). If i asked why and how it was possible, they replied with formal letter how much sorry they are. Nothing more.
I was in touch with ViSA guys and they confirmed payment as fraud and returned my money back to me.
Around 10 years ago i was in national bank. We had small project for entrance gateway automation. Control unit was strange DIY solution.
Banks aren’t so secure as we think. At least in my country.
I worked for big oil company and even their infrastructure and solutions are far from ideal. So i don’t have false expectations about security.
I observed that after 2 glasses of wine I'm more resistant to all kind of distractions. I don't have tendency to open dozens of tabs in browser, switch among unsolved things, check mails, smartphone etc.
Disadvantages are that I'm tired sooner and it's not sustainable drink alcohol if I need to do something.
All-in-all, no practical solution....just interesting self-observation :)
Very interesting reading about this topic is in book Pragmatis by William James.
Its philosphy so its not easy reading for relax.
From critical thinking point of view, try to read something about rhetoric. If you know some approaches, try to get in practice and challenge some speakers.
Start with your friends and familly. But I have to warn you...you will not be favorite partner for discussions anymore :-) so don't overdo.
Everything in Python flask + Azure OpenAI. I am working on moving AI part to Claude Sonet. Seems that results are bit different since GPT model has more rough approach to merging requirements and also less sensitive to finding gaps.