
End-to-End Learning Ecosystems with Valamis
Mahesh Paswan
Description
<p>Recommendations are everything. <br> <br> Good or bad, recommendations fuel the discovery of new ideas, compound preexisting knowledge, or challenge pre-existing assumptions. <br> <br> Stop and think about your life and how many things have come based on a recommendation. When it comes to learning, recommendations are key to building a sustainable learning culture. <br> <br> With content on the brink of oversaturation, how do we scale recommendations on a personalized level that is effective and transformative to a work culture? <br> <br> In this <a href="https://www.linkedin.com/company/learning-tech-talks/">Learning Tech Talks</a>, I'm teaming up with up with <a href="https://www.linkedin.com/in/ACoAAAAJS8YBsOBMOUBzZbh4G_ETslajAV36Wp0">Phil Purver</a> and <a href="https://www.linkedin.com/in/ACoAAAABG_ABayPj2d1hT5SSS0k799yPWJlFzuc">Jari Järvelä</a> from <a href="https://www.linkedin.com/company/valamis/">Valamis</a> to tackle what a learning ecosystem looks like for the everyday learner and what tools learning leaders can utilize for data-driven learning to recommend success for everyone.</p> --- Support this podcast: <a href="https://anchor.fm/learningtechtalks/support" rel="payment">https://anchor.fm/learningtechtalks/support</a>