In part II of our machine learning Series we explore the use of neural networks with a more specific dataset, imagining our dataset as a time series.
In the midst of COVID-19, we partnered with Kroger to provide a solution for monitoring store occupancy that was effective, quick to implement, and required little to no new equipment.
In part 1 of this series we’ll explore the fundamentals of machine learning and step through how a developer can implement AI, neural networks, and more into their projects.
We’re taking our chatbot a step further, exploring search & slack integration with IBM’s Watson API to create a more intelligent, human-like interface.
We explore creating a chatbot using IBM’s Watson API to onboard new employees and answer their employment and HR-related questions.
We explore the feasibility of using an inexpensive Bluetooth Low Energy (BLE) approach to detect the distance between a beacon and a single-antenna receiver.
In this article we dive into the specs employers are looking for in potential UX professionals, including an interview with Mission Data’s VP of Design Ops.
We’re taking a closer look at who’s pursuing a UX career, how that’s changed over time, and the advantages/disadvantages UX professionals are facing.
In this article we share trips and tricks for simplifying Static Asset Management by leveraging Vue.js single-file components.