Creating continuous, frictionless learning with new technologies — from clomedia.com by Karen Hebert-Maccaro
Point-of-need and on-the-job learning experiences are about to get a lot more creative.
Excerpt:
Technology has conditioned workers to expect quick and easy experiences — from Google searches to help from voice assistants — so they can get the answers they need and get back to work. While the concept of “on-demand” learning is not new, it’s been historically tough to deliver, and though most learning and development departments have linear e-learning modules or traditional classroom experiences, today’s learners are seeking more performance-adjacent, “point-of-need” models that fit into their busy, fast-paced work environments.
Enter emerging technologies. Artificial intelligence, voice interfaces and augmented reality, when applied correctly, have the potential to radically change the nature of how we learn at work. What’s more, these technologies are emerging at a consumer-level, meaning HR’s lift in implementing them into L&D may not be substantial. Consider the technologies we already use regularly — voice assistants like Alexa, Siri and Google Assistant may be available in 55 percent of homes by 2022, providing instant, seamless access to information we need on the spot. While asking a home assistant for the weather, the best time to leave the house to beat traffic or what movies are playing at a local theater might not seem to have much application in the workplace, this nonlinear, point-of-need interaction is already playing out across learning platforms.
Artificial intelligence, voice interfaces and augmented reality, when applied correctly, have the potential to radically change the nature of how we learn at work.
The rise of newsroom smart machines: Optimizing workflow with artificial intelligence — from mediablog.prnewswire.com by Julian Dossett
Excerpts:
As computer algorithms become more advanced, artificial intelligence (AI) increasingly has grown prominent in the workplace. Top news organizations now use AI for a variety of newsroom tasks.
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But current AI systems largely are still dependent on humans to function correctly, and the most pressing concern is understanding how to correctly operate these systems as they continue to thrive in a variety of media-related industries.
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So, while [Machine Learning] systems soon will become ubiquitous in many professions, they won’t replace the professionals working in those fields for some time — rather, they will become an advanced tool that will aid in decision making. This is not to say that AI will never endanger human jobs. Automation always will find a way.
AI and Chatbots in Education: What Does The FutureHold? — from chatbotsmagazine.com by Robin Singh
From DSC:
While I don’t find this article to be exemplary, I post this one mainly to encourage innovative thinking about how we might use some of these technologies in our future learning ecosystems.