Amazon Web Services (AWS) partner DiUS has helped develop an artificial intelligence-equipped chatbot for health fund Nib, to assist with customer queries. Named Nibby, the chatbot provides customers with simple responses regarding their health insurance
DiUS recently had the opportunity to bring chatbot nibby to life for leading Australian health insurer nib health funds (nib). Nibby lives on the nib website and its primary function is directing people to the right area of service before they speak to a consultant.
When we had one of our project teams working in our office using an Amazon Echo, I had an idea for a simple Alexa skill: the ability to enter table tennis scores using your voice.
This article shows how one feature of Statsmodels, namely Generalized Linear Models (GLM), can be used to build useful models for understanding count data.
With Google just about to launch a point of presence in Sydney for its Google Cloud Platform (GCP), we thought it timely to explore how to use Google’s Cloud Natural Language API as a part of the Google Cloud Platform Machine Learning suite.
Part one of Sol Pandiella-McLeod’s exploration of 12 predictions that will affect and change the role of designers: Design for Social Impact, Sensory design experiences, Machine learning that gets to know you at a deeper level, Automating the mundane, Disrupting the food industry with cruelty-free foods, Enhancing lives with virtual reality.
We share what happened on a project to demonstrate how to develop an application by leveraging Rekognition; a cloud AI service powered by AWS.
Deep learning – a type of neural network architecture that emerged a few years ago – has been getting a lot of attention lately. DiUS, we are experimenting with deep learning to explore the value it can add to our core competencies of software and hardware development.
Examining big data, the complex Hadoop ecosystem and the new entrant Apache Spark.