December 7, 2019

142 words 1 min read

Machine learning at Intuit: Five delightful use cases

Machine learning at Intuit: Five delightful use cases

Machine learning-based applications are becoming the new norm. Calum Murray shares five use cases at Intuit that use the data of over 60 million users to create delightful experiences for customers by solving repetitive tasks, freeing them up to spend time more productively or solving very complex tasks with simplicity and elegance.
Talk Title Machine learning at Intuit: Five delightful use cases
Speakers Calum Murray (Intuit)
Conference Strata Data Conference
Conf Tag Making Data Work
Location London, United Kingdom
Date May 22-24, 2018
URL Talk Page
Slides Talk Slides
Video

Machine learning-based applications are becoming the new norm. Calum Murray shares five use cases at Intuit that use the data of over 60 million users to create delightful experiences for customers by solving repetitive tasks, freeing them up to spend time more productively or solving very complex tasks with simplicity and elegance.

use case machine learning
comments powered by Disqus
Building deep reinforcement learning applications on BigDL and Spark

Building deep reinforcement learning applications on BigDL and Spark

December 3, 2019

Deep reinforcement learning is a thriving area and has wide applications in industry. Arsenii Mustafin shares his experience developing deep reinforcement learning applications on BigDL and Spark.
Whats in the Box? Resource Management in Kubernetes

Whats in the Box? Resource Management in Kubernetes

November 23, 2019

As the cloud native ecosystem evolves, it is determined to align platforms and technologies into a well-orchestrated infrastructure for optimum utilisation of compute, network and storage. This infras …
Are You Ready to Be Edgy? Bringing Cloud-Native Applications to the Edge of the Network

Are You Ready to Be Edgy? Bringing Cloud-Native Applications to the Edge of the Network

November 21, 2019

More devices means more data, more applications, and more pressure on the cloud to transport, process, and store massive amounts of data. Edge computing aims to mitigate this network bottleneck by off …
Using ML to improve UX and literacy for young poets

Using ML to improve UX and literacy for young poets

November 19, 2019

Power Poetry is the largest online platform for young poets, with over 350K users. Ann Nguyen explains how Power Poetry is extending the learning potential with machine learning and covers the technical elements of the Poetry Genome, a series of ML tools to analyze and break down similarity scores of the poems added to the site.
What separates the clouds? (sponsored by Google Cloud)

What separates the clouds? (sponsored by Google Cloud)

November 19, 2019

William Vambenepe explains how a pivot toward machine learning and artificial intelligence has created clearer separation among clouds than ever before. William walks you through an interesting use case of machine learning in action and discusses the central role AI will play in big data analysis moving forward.
Architecting an advanced analytics platform for machine learning

Architecting an advanced analytics platform for machine learning

November 18, 2019

Georgios Gkekas shares ING's advanced analytics journey to promote modern machine and deep learning techniques internally through a central, best-of-breed technical platform tailored for data science activities. The platform offers only the necessary automated tools to replace the tedious, repetitive, and error-prone steps in a typical data science pipeline.