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Graham van Terheyden – People Over Software – CIO Transformation LIVE – Manchester 2019

Graham van Terheyden – People Over Software – CIO Transformation LIVE – Manchester 2019

DAVID TERRAR [00:00:00] Hi, it’s David Terrar reporting from CIA Transformation live here at Manchester Central. It’s got a bit less sunny, but it’s definitely not raining. That’s always good. I’ve got Graham with me, sir. Graham, can you introduce yourself and a new organisation you work for?


GRAHAM VAN TERHEYDEN [00:00:12] Hello, I’m Graham van Terheyden, I work for People Over Software. I’m an interim CIO, which means that I go work in any number of different organizations who need change of one sort or another. Transformation is central to that in many different ways. Often it’s a merger and acquisition, a new a new building or some other structural change that they need sorting out.


DAVID TERRAR [00:00:37] And obviously, there’s a reason it’s called People Over Software.


GRAHAM VAN TERHEYDEN [00:00:40] Yes, of course. That’s because many people hire a CIO expecting it to be all about technology. But actually it’s all about the people. All the problems that need to be solved have people at the centre of them and I enjoy that above all else.


DAVID TERRAR [00:00:57] Now, you’re actually speaking at the event, aren’t you? What do you what are you speaking about?


GRAHAM VAN TERHEYDEN [00:01:01] I’m speaking about ground rules for A.I. because I have some history in A.I. my only academic paper was in artificial intelligence many years ago. In fact, artificial intelligence, the term is older than I am,.


DAVID TERRAR [00:01:15] And it’s been around for a long time.


GRAHAM VAN TERHEYDEN [00:01:17] Yes. And it was hyped then and it’s still being hyped. And my paper, I think, addressed some of the problems in an ancient computer language called Fortran. And people are still addressing those same problems with much more up-to-date languages.


DAVID TERRAR [00:01:37] I have to admit, it was the first language I learned, too. There you are. And so what kind of things are you going to get into? You say ground rules? Tell us a bit about the ground rules.


GRAHAM VAN TERHEYDEN [00:01:46] Well, actually, the ground rules for artificial intelligence are very similar to the ground rules that you would have for any project. And one of the points that I make is that you have to test, test, test. And strangely, people think that because it’s AI, you don’t have to test actually, you have to test more. And more often, I was pleased to hear a speaker earlier making exactly that point. There are other ground rules mostly to do with edge cases because the boundary of the capability of an AI. is defined largely by the data that you give it. And if you don’t give it data around the edge, it doesn’t know what works and what doesn’t and I’ll show people an example of that which is publicly available from Amazon on the web and how you think it’s working. But action is not.


DAVID TERRAR [00:02:40] Excellent. So looking forward to that. What else have you got out of the show today? Any highlights that you’ve seen?


GRAHAM VAN TERHEYDEN [00:02:46] Yes, I’ve been a CIO now for more than 20 years. And yet I came across a large and very successful organisation that I’ve not heard of and went to here’s some more about what they do and how they do it. And I think the fact that you can still have significant organizations being very successful and not hearing about them because you work in a slightly different environment is actually in a similar way to what we were talking about A.I. shows that if you don’t understand your boundaries, you’ll miss the significant stuff.


[00:03:24] It never ceases to amaze me how much new stuff I’m finding out, even though I’ve been here for some time. Great stuff, great. Thanks very much for telling our story, the story.


GRAHAM VAN TERHEYDEN [00:03:33] Thank you very much for your time.


DAVID TERRAR [00:03:34] And if you check back here to #ciotl and on CIO Transformation TV, you’ll find more interviews and content like this. Thanks very much.