AI, Data and the Digital Manufacturing Future
AI has the potential to reshape manufacturing software — but first, it will require data.
Share






Machining technology providers have offered hardware and software for collecting and managing manufacturing data for years, but IMTS 2024 marks what could be a sea change toward the next great leap in digital manufacturing technology: AI. AI is less a single concept than a collection of different technologies relying on automatically processing large data sets, and speakers at this year’s show are addressing the use cases of several AI technologies.
Danny Smith, principal machine learning strategist at , will speak about the potential benefits of generative AI in training new employees for highly technical tasks in his talk, “,” taking place Thursday, September 12, at 9:00 – 9:55 a.m. in W192-C as part of the IMTS Conference. Theo Saville, co-founder and CEO of , will also discuss AI as a tool for streamlining training, with the example of his company’s in-house AI programming tool. Saville’s talk, “,” will take place Wednesday, September 11, from 2:00 – 2:30 p.m. in room W196-A as part of TASC – The Automated Shop Conference.
In use cases apart from training, Eric Whitley, director of Industrial Transformation at , will discuss the benefits of AI built upon “Connected Worker” technology, with a talk promising to describe how pairing AI with real-time manufacturing information can lead to bottleneck recognition and the development of proactive solutions to solve them. Whitley’s talk, “,” will take place Tuesday, September 10, from 10:00 – 10:55 a.m. in W193-A as part of the IMTS Conference.
Josh Leath, product manager for Thermal Robotics at Yaskawa, and Andy Lonsberry, CEO and co-founder of , will turn the discussion of AI to its connections with robotics and machine learning. They will offer ways that these technologies can help manufacturers excel during their panel, “” on Thursday, September 12, from 3:15 – 4:10 p.m. in room W194-A as part of the IMTS Conference.

AI promises to play a large role in the future of manufacturing, benefiting areas from training to continuous improvement to robotics, but it will require enormous amounts of real-world data in order to properly model manufacturing operations.
With a common theme among these presentations being the necessity of hefty stockpiles of manufacturing data, attendees will also benefit from talks about how to collect this data, as well as about which tools they can use to do so.
Sandvik Coromant’s talk, “,” shines as an example. This panel will discuss tooling that can help measure temperature, vibration, strain and other data points during manufacturing operations. Technical experts from the company will then discuss how to use these data points to gain insight into tool wear and failure, machining parameters and more. Attendees can find this IMTS Conference talk in room W192-C on Monday, September 9, from 3:15 – 4:10 p.m.
Zeiss’ Scott Lowen, software product manager, and Ian Scribner, product sales manager, bring this discussion to metrology in their talk, “.” In this talk, Lowen and Scribner will discuss how to choose the best metrology technology for specific applications, as well as how the collected data can connect to digital twins and power continuous improvement initiatives. This talk will take place Thursday, September 12, from 3:15 – 4:10 p.m. in W193-A as part of the IMTS Conference.
Related Content
Cutting Part Programming Times Through AI
CAM Assist cuts repetition from part programming — early users say it cuts tribal knowledge and could be a useful tool for training new programmers.
Read MoreCan AI Replace Programmers? Writers Face a Similar Question
The answer is the same in both cases. Artificial intelligence performs sophisticated tasks, but falls short of delivering on the fullness of what the work entails.
Read More5 Tips for Running a Profitable Aerospace Shop
Aerospace machining is a demanding and competitive sector of manufacturing, but this shop demonstrates five ways to find aerospace success.
Read MoreHow to Mitigate Chatter to Boost Machining Rates
There are usually better solutions to chatter than just reducing the feed rate. Through vibration analysis, the chatter problem can be solved, enabling much higher metal removal rates, better quality and longer tool life.
Read MoreRead Next
A New Frontier in Surface Finish Control
What if your machine tool could measure surface roughness as it cuts? This article explores how in-process metrology is advancing from concept to reality, enabling real-time feedback, immediate detection of anomalies and new levels of control over surface quality. Discover the technologies making this possible.
Read MoreHow I Made It: Dennis Rymanowski
Dennis Rymanowski has worked at NSH USA for 60 years, with his passion for manufacturing living alongside his passion for his family’s polka band.
Read More