Listen "Magpie is Making Learning Relevant with Filtered"
Episode Synopsis
Greater speed and efficiency while at the same time delivering content with a greater degree of relevance than ever before? Impossible, right? Wrong. That’s the beauty of today’s leading technologies.
By modeling a learner’s skill signature and pairing that with #machinelearning, modern technology can quickly and efficiently determine what content will be particularly important to the learner, and when it gets it wrong, #machinelearning allows it to learn from its mistakes, so it doesn’t happen again.
And, by allowing the machines to take most of this time-consuming activity off our hands (and do it better than we ever could), it allows us to focus on the higher-order activities.
Listen to our conversation with Toby Harris and Rob MacAllister about how magpie by Filtered is making this a reality.
By modeling a learner’s skill signature and pairing that with #machinelearning, modern technology can quickly and efficiently determine what content will be particularly important to the learner, and when it gets it wrong, #machinelearning allows it to learn from its mistakes, so it doesn’t happen again.
And, by allowing the machines to take most of this time-consuming activity off our hands (and do it better than we ever could), it allows us to focus on the higher-order activities.
Listen to our conversation with Toby Harris and Rob MacAllister about how magpie by Filtered is making this a reality.
More episodes of the podcast Future-Focused with Christopher Lind
AI Is Performing for the Test: Anthropic’s Safety Card Highlights the Limits of Evaluation Systems
20/10/2025
Accenture’s 11,000 ‘Unreskillable’ Workers: Leadership Integrity in the Age of AI and Scapegoats
13/10/2025
How People Really Use ChatGPT | Lessons from Zuckerberg’s Meta Flop | MIT’s Research on AI Romance
26/09/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.