Sunday, 4 February 2018

Economic impact of machine learning

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Weekly Digest
PERSPECTIVES
 
Issue #5
 
 
 
 
Risks and rewards: Scenarios around the economic impact of machine learning
 
What is the economic impact of machine learning on the leading economies? Find out from our scenario analysis where we ran three econometric scenarios to 2030 on five countries - the United States, the United Kingdom, Australia, Japan, South Korea - and the countries of Developing Asia as a group. Read our report to find out more.
 
DOWNLOAD REPORT HERE →
 
 
 
 
 
 
Driving openness in organisations
 
Organisational openness could help to drive Europe's digital transformation and, more importantly, improve employees' working lives.
 
LEARN MORE HERE →
 
Food Sustainability in the Mediterranean
 
The top performers in the FSI 2017 display a growing adoption of sustainable farming practices. What are these practices and how does this affect food sustainability?
 
READ MORE →
 
Driving green innovation through collaboration
 
Tetra Pak has grown its business by 16% and reduced emissions by about 14%. Is there a correlation between business growth and carbon emission?
 
FIND OUT HERE →
 
Improving disaster response efforts through data
 
Quick and accurate data analytics that can pinpoint outbreaks and predict progression is key to fighting infectious diseases.
 
LEARN MORE HERE →
 
 
 
 
 
 
GUEST PERSPECTIVES
 
 
 
 
Democracy continues its disturbing retreat
 
More than half the countries in the latest update of a democratic-health index saw their scores decline
 
 
 
 
 
How innovation will fuel Japan’s drive toward “Society 5.0”
 
In the next stage, “Society 5.0”, physical space and cyberspace will be seamlessly connected
 
 
 
 
 
 
 
 
UPCOMING EVENTS
 
 
 
 
World Ocean Summit 2018 will define investment framework for scaling responses in the areas of plastics and pollution, sustainable fisheries and climate change, and accelerate the transition to sustainable use of the ocean.
Saver-rate ends February 9th.
 
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