What data does CAM Assist learn from over time?
Short answer: According to CloudNC, CAM Assist does not self-learn from your specific part data or usage. The AI’s knowledge and algorithms are improved by CloudNC’s engineering team and their own testing (including use in their development machine shop), but it’s not automatically learning on its own as you use it. They explicitly say they don’t train their AI on customer data for privacy reasons.
Instead, they incorporate improvements through updates. Over time, CAM Assist’s performance will get better due to these updates, but not because it’s learning from your jobs specifically in real-time. Essentially, it’s not like a machine learning system that refines on each user’s input; it’s more deterministic with periodic model improvements provided by CloudNC. The only “data” it might adapt within a session is it could adjust strategies based on user inputs (like if you change a setting, it “learns” your preference for that session). But it’s not collecting and building a custom model of your shop’s way of doing things. The focus of improvement is from CloudNC’s side: e.g., releasing Next Gen Roughing, better freeform (which come from them learning from overall usage and physics, not from the AI watching you). Over time you might feel it gets smarter, but that’s due to software updates, not it learning autonomously like a human apprentice.
Why is CAM Assist learning from data important?
Primarily for privacy and reliability. If it learned from user data, one user’s quirks or even programming mistakes could degrade the system or cause unpredictable changes. Also many companies don’t want their part data used to train someone else’s AI. CloudNC respects that (and likely legally necessary for sensitive industries). They improve the AI through controlled means – daily in their own machine shop, etc. This means your usage of CAM Assist today vs after 100 parts, it will perform similarly unless anupdated version is installed. It doesn’t, say, remember your particular material experiences and adjust. For the user, this means consistency: the same input yields the same output each time (until a version update). So the “data it learns from” would be internal testing data, and possibly aggregated anonymized performance metrics (like maybe they see how often people override certain feeds, and use that to adjust defaults in next update – that could be considered learning from usage patterns at a high level, but not case-by-case adaptation). They do mention working closely with customers to improve outputs – that likely means feedback loops via support rather than automated learning. It matters to set expectations: don’t expect CAM Assist to gradually tune itself to your specific shop or to get faster on the same part second time (barring you change some settings). It’s not ML in that sense (or if it is under hood, it’s fixed inference models, not continuously training on your data). So the benefit is no unpredictable changes job to job.
Where can I find / adjust data learning settings in CAM Assist?
You can't adjust the data learning parameters of CAM Assist as they do not exist. You can find out more information on data security and privcy at the CloudNC Help Center, and in your end-user license agreeement (EULA). Alternatively, you can contact the support team at CloudNC for further information.
How else could CAM Assist learning from data be known?
- AI learning vs static programming
- Does CAM Assist get better with use? (Only through updates, not self-learning per user)
- Knowledge base of CAM Assist (resides with CloudNC developers, not on your machine)
Related articles to CAM Assist learning from data
- Who can access the part data after upload? (ties to them not using it for training, thus only CloudNC limited access)
- What part data is stored by CAM Assist? (they store minimal, so indeed not using it for learning)
- What are AI-driven cutting parameters? (an example of AI’s logic, which is updated by them not by itself from each cut’s feedback).