The web is full of stories detailing all the wonderful things artificial intelligence (AI) can do, and all the terrible things as well. But now that the deployment phase is well underway, one salient question remains: What is it like to work with AI?
For most people, the AI experience has been limited to consumer releases like Siri and Alexa, which, at the beginning at least, did not exactly shine. Yes, they could name the capital of Albania and direct you to the nearest coffee shop, but beyond that, the broad impression has been that AI is not all that intelligent. In fact, it can be downright stupid.
Training the newbie
In the workplace, the first thing most people will likely notice is that AI won’t simply take over all the tedious, unpleasant jobs right out of the box. It must be told what to do first. This is a radical departure from past generations of software in which users had to be trained and retrained with each new release. Going forward, the software will change on its own, but the user must do the training.
For this reason, said Turker Coskun, group manager at software developer C3 AI, AI apps will require a lot more care and feeding than traditional enterprise programs. The performance of any number of operating models will not remain consistent over time, due to AI’s ability to ingest data and alter its own operations as circumstances and objectives change. To accommodate this, many leading AI adopters are implementing MLOps frameworks (an intelligent form of DevOps) to continuously monitor performance and kick the AI back on track if it starts to drift beyond accepted parameters.
Continue reading: https://venturebeat.com/2021/08/16/bringing-your-ai-coworker-up-to-speed/
For most people, the AI experience has been limited to consumer releases like Siri and Alexa, which, at the beginning at least, did not exactly shine. Yes, they could name the capital of Albania and direct you to the nearest coffee shop, but beyond that, the broad impression has been that AI is not all that intelligent. In fact, it can be downright stupid.
Training the newbie
In the workplace, the first thing most people will likely notice is that AI won’t simply take over all the tedious, unpleasant jobs right out of the box. It must be told what to do first. This is a radical departure from past generations of software in which users had to be trained and retrained with each new release. Going forward, the software will change on its own, but the user must do the training.
For this reason, said Turker Coskun, group manager at software developer C3 AI, AI apps will require a lot more care and feeding than traditional enterprise programs. The performance of any number of operating models will not remain consistent over time, due to AI’s ability to ingest data and alter its own operations as circumstances and objectives change. To accommodate this, many leading AI adopters are implementing MLOps frameworks (an intelligent form of DevOps) to continuously monitor performance and kick the AI back on track if it starts to drift beyond accepted parameters.
Continue reading: https://venturebeat.com/2021/08/16/bringing-your-ai-coworker-up-to-speed/
