Should Training Platforms Replace All Trainers?
If a training platform can provide instruction, practice, feedback, and analytics, where does that leave the trainer?
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If a training platform can provide instruction, practice, feedback, and analytics, where does that leave the trainer?
A powerful training platform can have a lot happening behind the scenes, but that does not mean the user should have to untangle all of that complexity.
Better models will continue to matter, but models are only one piece of an AI product.
What are the hallmarks of "good" analytics? What do we even mean by that?
When resources are limited, designers have to think more carefully about what the system actually needs to accomplish.
Can you build an AI application with all the advantages of AI, but none of the weird quirkiness? Yes, and SkillSaige's CEO will explain how.
The word "scalable" gets thrown around a lot, but what do we actually mean when we say that?
Variability helps make training repeatable without it becoming repetitive, which is crucial for sustained skills growth.
Sayre joins the host of Channel Insights to discuss the future of AI training.
What is semiotics? Sayre Blake, SkillSaige's CEO, will be explaining why that question is critical to AI architecture during her talk at the upcoming AI Practitioner Summit.
AI has immense potential, but it also introduces some unique challenges when it comes to testing.
It is easy to understand an idea in theory and still struggle to apply it. Repeated practice helps close the gap between abstract knowledge and usable skills.