longstaff2009
Joined 13 years ago
Karma
109
Submissions
75
Member since
Aug 20
Recent submissions
Comment · 2 years ago
Comment · 6 years ago
they have a live demo
https://demo.buxfer.com/dashboard
Comment · 6 years ago
providing end to end provenance of live exports in cross border supply chains involving China.
Comment · 6 years ago
I wrote a post with my predictions here
https://medium.com/swlh/9-predictions-for-2020-2029-555312fc...
TLDR 1. Federated Learning will unlock value from previously inaccessible sensitive data.
2. Deepfakes will impact democracy and bring about a need for publisher certified content.
3. Nationalism will rise around the world, the internet will splinter.
4. eSports will take a huge chunk of attention and advertising dollars from sports.
5. Blockchain will get adoption in enterprise. Mainstream adoption will struggle until there is a key custody solutions that everyone can use.
6. Self driving cars will open up new business models. Regulations will be the main barrier to adoption.
7. Welfare systems will get strained.
8. Digital currencies and negative interest rates will open pandoras box.
9. Search will get reimagined.
I also enjoyed these posts
https://avc.com/2020/01/what-will-happen-in-the-2020s/
https://continuations.com/post/189997132065/an-agenda-for-th...
https://alexdanco.com/2019/12/17/ten-predictions-for-the-202...
Comment · 6 years ago
in private consortiums, instead of having data locked up in silos across organisations, everyone can have a copy of the data and build their own view on top of it.
you don't have to trust any party as to the authenticity of the data as you can see every change that has been made.
I wrote about the supply chain use case here https://medium.com/twohands/lobsters-on-the-blockchain-df599...
and how I approach looking at distributed ledger tech here https://medium.com/@ben_longstaff/my-framework-for-how-to-lo...
:)
Comment · 6 years ago
My understanding is that Trump's trade war was apart of the America First economic policy to reduce the US trade deficit. This had the added benefit of making manufacturing more viable in the US.
I like that it's able to infer information from the context of the cells, e.g. being able to run a query across continents when the data only contains the country.
Being able to ask it to interpret the results is helpful, it would be cool if it automatically told you if there was enough data to have statistical significance in the conclusions it was presenting.