More than Data Labeling, as standard as ‘import pandas’ for AI/ML projects
What do you like best about the product?
They've consistently improved their product, listening to customers and bringing to market tools and features that's sped up the duration of not only Production projects, but also proof of concepts.
What do you dislike about the product?
Explaining to clients the data privacy rules and constraints, even though the Service is fully compliant. It's not really a product problem as much as it is just educating users who's just getting started with AI/ML projects.
What problems is the product solving and how is that benefiting you?
Instead of pulling together different tools, that often requires getting DevOps involved, it's one set of tools that works well within existing workflows, being it AzureML, Sagarmaker or Custom.
Less DevOps and Enginnering time means more resources available to focus on model development.
Less DevOps and Enginnering time means more resources available to focus on model development.
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