The Future of AI in Automation
Description
Welcome to Enabling Automation! The first episode of season 4 is "The Future of AI in Automation". Join our season 4 host for this episode, Ben Hope, as he discusses with special guest, Stan Kleinikkink.
Listen to all episodes on the following platforms:
- Spotify: https://open.spotify.com/episode/69A8b6sh2aIpBfYzTcJWUW?si=b03fde7ce29d4fe8
- Apple Podcasts: https://podcasts.apple.com/us/podcast/the-future-of-ai-in-automation/id1703651289?i=1000711698458
- Overcast: https://overcast.fm/+BBYs2L0bfY
- YouTube: https://www.youtube.com/watch?v=jsKW1MMLfQQ&list=PL1amIhdccgLUh7TbNYEANqxd1WIXb4uDd&index=3
For more information, visit: https://atsautomation.com/the-future-of-ai-in-automation/
Contact us: https://atsautomation.com/contact-us/
In this monthly podcast series, join industry leaders from across ATS as they share and discuss the latest industry trends, new innovations, and more! ATS is an industry-leading automation solutions provider to many of the world's most successful companies.
00:04 – Introduction
01:57 – Why is innovation important to ATS?
03:54 – What is AI in the context of Industrial Automation?
05:20 – How does AI impact traditional technologies?
06:44 – What areas of the automation life cycle are ready for AI?
09:05 – Data driven decisions and the impact on other areas of business
10:16 – How do you ensure data quality?
13:06 – Outliers in data and validating data
15:50 – Common challenges when implementing AI and avoiding pitfalls and pilot purgatory
20:02 – What role does culture play when trying to implement AI into the workplace?
22:15 – What are the biggest opportunities for AI in the industrial automation industry over the next 3 to 5 years?
24:12 – Final thoughts
25:10 – Closing
Chapters
- (00:00:04 ) - Introduction
- (00:01:57 ) - Why is innovation important to ATS?
- (00:03:54 ) - What is AI in the context of Industrial Automation?
- (00:05:20 ) - How does AI impact traditional technologies?
- (00:06:44 ) - What areas of the automation life cycle are ready for AI?
- (00:09:05 ) - Data driven decisions and the impact on other areas of business
- (00:10:16 ) - How do you ensure data quality?
- (00:13:06 ) - Outliers in data and validating data
- (00:15:50 ) - Common challenges when implementing AI and avoiding pitfalls and pilot purgatory
- (00:20:02 ) - What role does culture play when trying to implement AI into the workplace?
- (00:22:15 ) - What are the biggest opportunities for AI in the industrial automation industry over the next 3 to 5 years?
- (00:24:12 ) - Final thoughts
- (00:25:10 ) - Closing