by Andrew White | May 30, 2019 | Comments Off on The Good, the Bad, and the AI
AI is not ugly, that’s for sure. AI is a promising technology, and it is certainly in the limelight. Several articles in the papers over the last few weeks highlight what is good and bad about AI. Here is a snippet of a couple of them.
From the US print edition of the Wall Street Journal:
- April 30 2019: Data Management Helps Companies Exploit AI
- April 29 2019: Firms’ Use of AI Is Expected to Surge
- May 29 2019: AI Projects Bog Down in Data Perpetration
The first and third article are barking up the same tree. The first calls out how good data management practices help organizations in preparing to be more effective with the application of AI; the third article explains how, having bad, incomplete or the general lack of data, can hamper AI projects. What to do?
The funny thing is that there is a school of thought that suggests that some AI technologies can cope with the lack of or bad data. If you have enough data and that data is generally representative of the wider population that you are learning from, then rogue data itself, if in small quantities, won’t hinder the effort to learn. But as that rogue % shifts then the ability for such solutions to cope diminishes. You all know the refrain: bad data in, bad data out.
The second article suggests that whatever the difficulties, the interest from firms and organizations in AI continues apace and spending is going to continue upwards for some time. The article explores some findings from a report from Deloitte LLP. Our down data suggests the same trend. However, what kinds of AI capabilities and what use cases are being addressed is changing over time. That is why this is such a fascinating topic right now.
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