The Future of Tech and Work
The Future of Tech and Work is how human beings work and the tools they use and will use in the future. For those interested in big data, the internet of things (IOT), block chain, artificial intelligence (AI), IOT, computer science and coding.
At a recent GSV Summit, Salesforce SVP and author of The Art of The Long View Peter Schwartz spoke about Evolution of Technology, Jobs and Education. Here are 10 takeaways from Schwartz on working with smart machines.
This month I’ve been tracking news headlines to get a sense for how widespread Artificial Intelligence applications have become. With a couple news alerts and searches, I spotted these 101 current applications.
Pearson and the UCL Knowledge Lab, University College London, launched an important new paper entitled 'Intelligence Unleashed: An Argument for AI in Education.' The authors call AIEd, “the engine behind much ‘smart’ EdTech,” as well as a powerful tool providing “deeper, and more fine-grained understandings of how learning actually happens.”
Learning will remain highly relational for most of us, but those relationships will increasingly be informed by data. Students parents and advisors will make more decisions about learning pathways but those decisions will be nudged and guided by informed recommendations.
Enter the rise of machine learning--programming computers to learn from data. With a good machine learning algorithm more data means more learning. Machine learning draws from neuroscience, evolution, psychology, physics, and statistics to build better algorithms.