J
John Shovic
1
APPEARANCES
1
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
SEP 28
OCT 5
OCT 12
OCT 19
Sep 24, 2026
Like it or not, AI is here to stay. How shall we use it?
5:04
5:12
5:28
5:35
5:44
D
4:56Doug NadvornickHOST
So how long has AI been used in the industrial setting as you're talking about?
John ShovicGUEST
But what has happened in the last, I would say, six years is that large language models have come on the scene.
John ShovicGUEST
And that provides us tools we can use in part of manufacturing that have – being able to identify what the problem is with the machine by doing a very deep and complicated search of the documentation for the machine, including things, the tribal knowledge that has been put in.
John ShovicGUEST
That's turning out to be a useful part of AI and a useful use of these large language models like ChatGPT.
John ShovicGUEST
The other thing that is going on is when you have a manufacturing line, you may have 25 million data points coming off that a month.
John ShovicGUEST
And we don't, before the latest set of techniques, we didn't really have mathematical and statistical techniques that could tease out what is going on on that manufacturing line by looking at these multi-millions of data points.
12 MINS LATER