Collaborating Authors

Technology for Human Augmentation

IEEE Computer

Computing technologies have rapidly transformed our world and, perhaps unsurprisingly, have a profound capacity for transforming us. Given our inherent human vulnerabilities and limitations, these technological advances do more than just pick up the slack.

What is Agent Augmentation in a Contact Centre? - UC Today


Data leads to better experiences. In today's chaotic consumer landscape, businesses are dealing with endless customers who demand more personalised, relevant, and engaging experiences. They don't want one-size-fits-all interactions; they want the advisers that they deal with to understand who they are and what they need from the moment that they pick up the phone. Obviously, delivering the kind of experiences that customers want would be in possible in a traditional legacy contact centre. However, today, artificial intelligence and automation are beginning to unlock new opportunities for the modern adviser.

Offline Data Augmentation for multiple images in Python


Can you increase the number of images in any dataset? Machine learning, Deep learning, Artificial intelligence all require large amounts of data. However, data is not always available in every case. The programmer needs to work with the small amount of data available. Hence the use of data augmentation came into the picture.

MuarAugment: Easiest Way to SOTA Data Augmentation


I wanted an easy way to get a state-of-the-art image augmentation pipeline with no manual iteration, no separate models to train and no thinking. To provide that, I created MuarAugment (Model Uncertainty- And Randomness-based Augmentation), a GPU-supported Python package built on Pytorch, Albumentations and Kornia. There are a few resources you can use to master MuarAugment. There are Colab tutorials demonstrating MuarAugment. Most of the material in this article comes from those.

As AI gains human traits, will it lose human trust?


While design and behavior have always been linked, the connection is gaining a new significance thanks to the next-generation of technologies. Consequently, this next-generation of technologies will be unlike any we have seen so far. They will enable a new era of human augmentation, in which technologies look like us and act like us, often without our input. Human augmentation technologies will be game-changing for companies and their customers. They could open up new ways of engaging consumers -- from conversational interfaces that replace keyboards to digital assistants that autonomously make purchasing decisions -- and create a new generation of empowered "super consumers."