Why AI has disappointed on Covid
Has AI disappointed on COVID? Thought provoking piece by and - We think is ahead of the curve by predicting COVID progression 2 weeks before it is confirmed but there is so much more we can all do. WDYT?
“If this is not the first pandemic to be solved by AI, then it will surely be the last to be solved without it.” via
A great thought piece from in the today about why AI has yet to make a big impact in our fight against #COVID19 but why we should still remain hopeful
A thoughtful piece by on 'Why AI has disappointed on Covid.' Speaks to the large dataset released and helps make clear why algorithms alone aren't enough - they have to be paired with the right datasets. via
Very relevant opinion piece by at on AI deployment and impact in COVID drug discovery, contract tracing, etc. It all boils down to high quality datasets (e.g. better model systems that recapitulate real world complicity).
Interesting standpoint on why #AI hasn't been that helpful in fighting the pandemic, and what should be done in the future. #InsurTech #FinTech
Why AI remains the dog that didn't bark during the pandemic: lack of data on Covid-19. But "If this is not the first pandemic to be solved by AI, then it will surely be the last to be solved without it." in the FT
AI has disappointed on Covid: At a time when we expect AI to solve most problems — since that has been the industry promise for years — why has it been so ineffective in the fight against the biggest global crisis in a generation?
Check out the full opinion piece on the website here
Check out the full opinion piece on the website here