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Multi Dimensional Visualization
This visualization technique for displaying multiple dimensions has been developed by a research group at the University of Athens. They are looking for feedback from colleagues in the field on its functionality and utility.
All feedback on the functionality and utility of this multi-dimensional visualizational tool will be used to further develop the application. The link provided also includes a test data set, but where possible please apply your own data.
Big Data World 12 - 13 March 2019
The Data Science Foundation is proud to be supporting Big Data World. The event takes place 12 – 13 March 2019 at Excel, London and is aimed at everyone working with data. There will be hundreds of hours of free education from over 120 expert speakers covering all the key big data topics. And there will be thousands of your peers, offering you an invaluable time of networking and idea-sharing.
Confirmed speakers for Big Data World now include:George Zarkadakis, Digital Lead - Willis Towers WatsonAmit Varma, Head of Technology - Citi GroupDan Kellett, Senior Director of Data Science - Capital OneChris Combemale, Group CEO - DMA GroupPaul Russell, Director of Analytics - Experian UK &IMohammad Shokoohi-Yekta, Data Scientist - AppleAndrew Drooker, Director Gloal Applications Development - UPSArjun Panesar, Head of AI - Diabetes.co.ukApurva, Kumar Sinha - Head of Innovation and Information ManagementJanthana Kaenprakhamroy, CEO and Founder - TapolyJean Ortiz Perez, Head of Analytics I&A - Collinson Group Ian Thompson, Head of BI - King
Cancer Research Special Interest Group
The Data Science Foundation will launch a cancer research discussion group within the next couple of months. The idea is to bring together people with relevant expertise and or access to resources and to initiate a discussion on how the group might contribute to work being done in this field.
Four highly qualified people have agreed to join the Special Interest Group within hours of this article being published. Our target is to launch the group with at least 12 members. Thank you for the support, a progress update and an agenda for the group will be published at the beginning of February.
The Perfect Storm. How the Confluence of AI, Robotics Technology and Big Data Will Affect Human Employment
Ultimately, the widespread adoption of automation and robotics, as well as the rise of artificial intelligence will have profound impacts on the world, particularly in terms of human employment and even the global economy, such as the questions asked by Martin Ford, in his book, Rise of the Robots. Martin Ford suggests the outlook is bleak for millions of workers who define their self-worth in terms of their employment. Increasingly workers will no longer be exploited by those in control of capital and intelligent machines, they will be irrelevant to them.
Here is an interesting article in Wired on 'Rise of the Robots' by Martin Ford: https://www.wired.com/brandlab/2015/04/rise-machines-future-lots-robots-jobs-humans/ The book is extremely well written and worth purchasing: https://www.amazon.co.uk/Rise-Robots-Technology-Threat-Unemployment/dp/1780747497
Data Science Writer of the Year 2018
Francesco Corea is recognised as the Data Science Foundation, Data Science Writer of the Year 2018
Python for data science course
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Data Forecast 5 2019
Data Forecast 5 2019We are asking our members to predict the most likely developments in data use and data technology in 2019.We will identify five key trends in the answers submitted and publish them on the Data Science Foundation website. You could think along the following lines.· Which fringe technologies will become mainstream?· How will organisations change the way they manage and use their data?· What will be the driving influences on data analytics?· Are we likely to see huge advances created by the convergence of technologies? · Should the public at large be concerned about potential technical advances or data usage in 2019?
Discussion on the use of graph theory/network science in the field of business intelligence.
Hey I would love to start a discussion on the application of graph theory and graph databases in the context of business data. I have identified several applications but it would be interesting to hear your thoughts on these and other applications you can think of!Applications that I have identified are:Airport connectionsDelivery logistics - like the one eBay implementedCo-purchasing networksWebsite navigationBank transfers
Update: I had a lot of great answers when I posted this question on Twitter @ToriTompkins.Graph Theory has some good applications when resolving dependencies between source files. This involves determining what processes can be run after a source file has loaded by querying for all associated nodes. Collaborative working. For example some issues on GitHub are tagged by multiple users. Social network analysis can be used to identify shortest paths, influencers, cliques etc.Many processes in business intelligence have complicated and moving parts for example percurement, contracts or fraud. Graph theory can be utilised to uncover hidden connections.Any more suggestions are welcome!
Data Science Foundation Consultancy
We are making good progress towards launching a Data Science Foundation consultancy service and are pleased to show the branding associated with this venture.
Contact email@example.com if you have a project you would like to discuss.Please pass this information on to colleagues and acquaintances who may be interested. Your support here is appreciated and will help the continued development of the Data Science Foundation.