Pathfinder Podcast | Podcast en RSS.com

Pathfinder Podcast

Pathfinder Podcast

por Iain Keaney

Administración Noticias de negocios Tecnología

Temporada 1

Machine Learning In Production

In this episode of the Pathfinder Podcast, Greg Tarr from Inferex talks to us about how MLOPs platforms will help standardise the practices of machine learning engineers.

Using Data to Avoid Injury in the Gym

Emma Meehan, founder of Precision Sports Technology, talks about the future of using cameras and Lidar to help athletes avoid injury in the gym.

Data for Lean Manufacturing

In this episode Russell Macpherson talks about the role of data is in implementing successful Lean Sigma Strategies.

Data Privacy Tools

Jack Fitzsimons talk's about the infrastructure needed how to keep you're customer data secure and the challenges with anonymising data.

Accessible IOT Infrastructure

Conall Laverty talk about using IOT sensors for fleet management, automation, and how Wia.io is making cloud infrastructure easy for IOT devices.

Automated Inspection in Manufacturing

David Moore, CEO of Viska Systems, talks about the use of Machine Vision for automating inspections in manufacturing and how to spot the quick wins in adopting machine learning.

AI in Construction

Marco Herbst from Evercam talks about using AI on construction sites to monitor everything from health and safety, to deliveries, to tracking how the project is progressing. Marco shares their story of adopting AI into a industry that has been traditionally slow to change.

Bridging the Gap Between Data and Business

Peter Woods and Brian Quinn from the Data Value hub discuss the role data can play for businesses and the resources available to help them adapt a data strategy.

Reducing Customer Churn Rate for Wholesale

In this episode we talk to David Bowe about using reducing Customer Churn Rate in wholesale and his journey in becoming a self-taught Data Scientist.

Driving E-commerce Sales with Data

John Savage from Overstock talks about putting customer's privacy first when using recommender systems to drive sales on their e-commerce platform