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
HoningDS.com offers the best online Data Science training. Get trained in Python, R, Statistics and Machine Learning by real time professional. We offer online course for every aspiring Data Scientist in any part of the world. Get hands-on experience using real time projects and become a Data Scientist.
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.
Investing in AI: an overview
The hype about AI makes really difficult for experienced investors to understand where the real value and innovation are. I would like then to humbly try to bring some clarity to what is happening on the investment side of the artificial intelligence industry.
If you want to have an overview on the investors and accelerators who specifically invest only in AI, here there is a good resource for that:https://medium.com/@Francesco_AI/unsupervised-investments-ii-a-guide-to-ai-accelerators-and-incubators-4dc762d57c4b
Cryptocurrency Research and Discussion Group
The Data Science Foundation is in the process of establishing a cryptocurrency group to share research and discuss the latest developments. If you are interested in joining comment here or email firstname.lastname@example.org
Yes, I want to be a part of this discussion
Blockchain Research and Discussion Group
The Data Science Foundation is in the process of establishing a blockchain group to share research and discuss the latest developments. If you are interested in joining comment here or email email@example.com
What You Need to Know about the EU’s 2018 General Data Protection Regulation
Data is everything. In fact, thieves are now targeting consumer and business information rather than financial assets, simply because there is so much more value in data. Find out more about how GDPR is changing the way we all work with data in the midst of this Information age.
A great way to get in on the action.