As Augmented Reality (AR) technologies improve, we are starting to see use cases that stretch beyond marketing and simple visualizations. These include product visualization, remote assistance, enhanced learning, quality control and maintenance as will be discussed in this article
How can we prototype and validate machine learning ideas without the most essential raw material? How can we efficiently obtain and create value with data when resources are sparse?
At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.