longstaff2009

Thats a spicy example dataset!

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.

they have a live demo https://demo.buxfer.com/dashboard

providing end to end provenance of live exports in cross border supply chains involving China.

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...

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...

:)

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 found the thought process of trying to make the predictions quite rewarding to go through, it will be interesting to look back in 10 years and see how close or not they are

You are right that section could be much clearer.

Long term transaction data and browsing history could be used to train a federated learning algorithm to generate search results.

Getting access to that data to understand what stories it can tell is difficult ask without offering a lot of value in return.

In the short term I believe providing insights into a persons finances is the way to provide that value.

E.g. if you have an extra $5k how do your circumstances change if you - pay off student debt - pay extra on your mortgage - buy solar - contribute to your 401k / retirement savings

or showing how changes in spending alters the amount of pretax money you need to earn to support your lifestyle.

or how does your spending compare to people like you?

bear in mind that back in 2000 git wouldn't be released for another 5 years. The processes of building software has improved a lot since then

it's an easy trap to fall into, not enough people talk about it

As the author I probably can't change your mind without revealing his real identity, but i'm glad you thought the writing was well calibrated :) so thanks I guess?

I suspect that Dave's pay was not proportionate to his skills

I would say most small engineering teams have that risk