Image Title

Search Results for Wharton Computing:

David Comroe, The Wharton School of the University of Pennsylvania | Dell Technologies World 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE! Covering Dell Technologies World 2018. Brought to you by Dell EMC, and it's ecosystem partners. >> And welcome back to Las Vegas, as thCUBE continues our coverage here of Dell Technologies World 2018. So glad to have you along here for our Day Three coverage. Along with Stu Miniman, I'm John Walls. It's now a pleasure to welcome David Comroe with us. David is the Senior Director of Client Technology Services at the Wharton School of Business, at the University of Pennsylvania. David, thanks for being with us. >> No problem. Glad to be here. >> Thank for sharing your time with us. First off let's just talk about, about the scope of your work. Again, you take care of all the obviously IT needs for the largest business school faculty in the world. Right? No pressure on you there. But talk about day to day, those responsibilities. >> As you mentioned my title is Senior Director for Client Technology Services. I'm essentially responsible for providing the support and services to four very distinct user groups that we happen to have at a university. That's of course our wonderful faculty, our staff that make everything happen, our incredible students, and of course our alumni group, which is about 100,000 people strong at this point. Just Wharton alums that are again, very important. Give back to the school. Provide mentorship and job opportunities for our graduates. Again very distinct needs for each of those four groups. We provide a high quality, and all the buzzwords. You know, secure, safe, efficient, highly available services to these groups. That's kind of what I do all day. >> One of the cool things, I love acronyms. Not that this industry doesn't have a few, as you know Stu. But WHOOPPEE. I absolutely love making whoopie. But not what you might think. But walk us through that and what it stands for, and what you did in it. It really was groundbreaking. >> You're putting me on the spot with this one. So WHOOPPEE is the Wharton, let's see if I can get this, Online Ordinal Peer Performance Evaluation Engine. One of our incredible faculty, Pete Fader, came up with this idea. It's no secret that grading is kind of bad. Faculty grading students. There's all kinds of challenges. >> It's tedious. >> Well it's tedious. There's inherit biases when you're, the larger the class. And when you have to grade 80 papers, or 100 papers or 200 papers. It's really hard to keep consistency across when your grading paper one through paper 100 through paper 200. Plus when you start divvying up the work between TA's and different faculty teaching the same class. Again fraught with bias. A number of people, again Pet Fader's idea, to come up with basically an algorithm that helps the grading process. And basically what happens is, is students are grading themselves. What we'll do is we'll give them five papers or five projects to grade. And they don't actually grade. All they have to do is rank it. You know, this is the best one. This is number one. This is the worst one. This is number five. And then there's this magic behind the scenes that that runs in our local infrastructure, in our cloud infrastructure. That basically runs an algorithm. And that algorithm is the secret sauce that some of our statistical geniuses at the Wharton school, of which we have many, came up with. And it has all kinds of cool features. You can say, well this batch of five papers might be harder. I might have the five best papers in the class. That's not fair. They still have to rank one the worst. You know, five. You can't say these two are the best. And this one's third. You actually, the students have to read the paper, and just rank it. I like this one the best. I like second, third, fourth, fifth. The algorithm takes into account difficulty of batches of papers. You could literally have the five best or the five worst papers in the class. And that's still going to provide meaningful data to the algorithm. So when you have 50, 100, 500 batches of five. They all start to figure it out. And the algorithm will actually figure out what the best paper is in the class. And what the maybe again at the Wharton. But not so great, greatest paper in the class. >> But not the worst. Just not so great. Again cause our students are brilliant. It basically goes on the fact that if you do a quality paper. If the algorithm says you're the best. Your weight means more than someone who might not have done such a good job on the paper. And you're considered a better grader. And it's weighted towards the better graders. There's all kinds of really cool stuff in there that we think is going to change... Get rid of some of that bias that I spoke about before. And help provide. And the data we've seen is, frankly the students like doing it. They don't like the additional work involved with it. We're seeing some empirical evidence, and some in person interviews. That they're learning more. They're reading five other student's papers. They're getting five other perspectives. They're saying, hey I didn't think about that. Or even, hey they're all wrong here. My paper was much better than theirs. But again that doesn't necessarily matter when we start running the ranks. And we're getting much better, much better grading, which is hard to quantify, but the folks that are on the academic team that are doing that, have some really great data. With the data. Yup, mm-hm. >> David, one of the themes we keep hearing in this show is about transformation. Is change happening? You're talking about IT, how it's working with the business more and more. Bring us inside university life in general and specifically. You work with one of the ancient eight. How does cutting edge technology fit in with - >> That's really interesting. I do have a couple thoughts on that. My boss has a picture in his office, of a Penn classroom from I think it's like 1908 or 1910. And there's literally a bunch of students sitting around. There's a faculty member standing up. And there's a candle-powered projector, which I didn't know is a thing but it's in the picture, projecting an image onto the wall. From over 100 years ago. What's different about our classrooms today? Everything's the same, except the projector's now in LED. Or a L3D projector. We still got people sitting around the room, standing up. I think what we're seeing now in probably the previous ten years from now and to the next ten years is education's probably going to change more in those 20 years than it has in 2,000 years since Socrates was standing around with a stone tablet or whatever they were doing. Things like globalization, online courses, the MOOC space, where Wharton is huge in the MOOC space. Wharton online programs. Where students can take, not even students, anybody! If you're in China or Africa or South America. You can take an introduction to Wharton, introduction to marketing class from a Wharton professor for free. I mean we're a business school. We sell some of that content as well. But you can get verified certificates. We're seeing a lot of stuff change. The students today expect more. We can get into, we won't though, we can get into the whole millennial issue and short attention span and all that kind of stuff. Students today expect their faculty to be technology savvy. They expect content to be online. They expect to use devices. The expect to use... We got tablets, and laptops and phones. They want to be able to consume this content on multiple devices. We're seeing significant transformations in education. Which is, hasn't necessarily changed much in 2,000 years. Or even 200 years, right? So there's that. Speaking specifically about Wharton, one of the things I really thought is interesting, is I've been there 13 years now. When I first started working there, I'm going to make some generalizations here, a lot of our student wanted to go work in iBanking. They wanted to go work for the big banks. They wanted to go work for Goldman Sachs and things like that. In the last five, seven, ten years ago. They wanted to create their own company. Start up their own company. Be entrepreneurial. Have their app. Have their their big idea. Start the next whatever dot com. And be successful that way. Now in the last two or three, four years. We're seeing a lot of our students analytics. We're putting analytics with everything. Companies, businesses, organizations, no matter what you are, we have huge amounts of data available. How can we make meaningful decisions based on that data? Our dean. I guess I can't call him our new dean. He's been there three or four years at this point. Really wants to position Wharton as the analytics school. Every company in the world is trying to hire these kinds of people. There just frankly aren't enough of them out there. The thing we're trying to teach our students is, or one of the many things, is how to analyze data. How to make meaningful decisions based on that data. And of course when you have more data, you need more storage. You need more infrastructure. You need more processing. All the stuff that you know, Dell and Nutanix are providing us, with their hyper convergence infrastructure. Their cloud offerings. Whether private cloud, public cloud, hybrid cloud. All that kind of stuff is... Positioning us as the analytics school requires a significant amount of technology on the backend. And again working with our trusted partners like Dell and Nutanix we can provide that seamlessly in the backend. They don't necessarily know, is it in our data center? Is it in the cloud? And they don't care. They shouldn't care. But as they're collecting huge amounts of data, running these reports, and creating it, and going back to creating these algorithms that do incredible things. And these secret sauces. We need the infrastructure to run that kind of stuff. That's I think one of the greatest things that Wharton Computing provides the Wharton School of Business, and their business, which is creating and disseminating knowledge. >> David, I think you've encapsulated something that I've been hearing from lot's of users over the last year or so. The vendors sometimes, it's private, it's hybrid, it's public. From the user standpoint it's like, no well we have a cloud strategy that we're working on. Can you bring us inside a little bit? How did you get to where you are today? How do you choose who you're partnering with? What leads to some of those decisions? >> I love the word partner. I hate the word vendor. One of the great things about working at Wharton is, is we get to have these awesome partners. I want someone... When we're going to make an IT spend, we want someone who cares about our business. We don't want somebody who just, will come in, give you a dog and pony show, write us a check. And when you want more stuff call us. We want folks that are going to provide the support. You know, pre-sales during installation. Post-sales when they're coming out with new features. We want them to be invested in what we do. I can truly say that Nutanix is a fantastic partner of ours. Dell-Nutanix are great partners. Dell is a great partner of Wharton and Penn as well. That's what we really look for, is someone who is willing to invest their time, their smart people. Tell us about the new features and functionality that are coming out. Call on us and say, hey how are thing going? It's not just the little things. But those little things really mean a lot to us as we're picking an IT partner. Because when you're working for the best business school in the world. Having the best students, the brightest faculty, the best, hardest working staff. We want to provide them a very, very high quality IT support. We need high quality partners. And not just vendors who care about the transaction. That's really the bottom line for us. When we're choosing our partners. >> When you were talking about analytics, and Wharton being the school of data analytics. What are your measuring sticks? In terms of what are you looking at? You're talking about four very separate groups of constituencies. What are you doing to evaluate your performance? And what's critical? >> I think it all comes down to, what do our business units think about us? We're a service organization. Almost all IT shops are. If the business units aren't successful, they don't need an IT department. If we're not providing them high quality IT services, we're not going to get the best faculty. We're not going to get the brightest students. We're not going to get the alumni engagement. They want to be wowed by their IT support. That's a big part of my job, is providing that quality of support. Helping train. Technology breaks, right? How do you deal with the problem? Nobody runs at rock solid 100% infrastructure. Murphy's Law always comes into play. Problems always happen. How do you deal with the cracks in the armor as they come off? I think that's what our business units want. I think we're fortunate that we're computing. Our team, our staff, our CIO. My colleagues, my peers, my team. Our team, right? They're very well thought of, hopefully, by our clients. And that's how we're measured is by their success. We want to help them, empower them to do their job at the highest level. We are playing in pretty rare air, when it comes to the faculty, staff, students and alumni, that we attract to Penn and Wharton. We want to keep doing that. One of the things I love best, and I tell our wonderful faculty when we meet with them, is don't tell me we did a great job. Here's what I want you to tell me. I want you to say, three years ago I was at, I'm not going to name drop schools, but I was at this school and I asked them to do this thing, that you said, sure, no problem to. And they couldn't do it, wouldn't do it, didn't have the ability, the infrastructure in place to do that. But you guys with a smile on your face just made it happen. Stuff like WHOOPPEE. Stuff like the analytics stuff. All the, tying it back to why we're here today, is our partners and our technology partners that help us provide scalable, flexible solutions. That's how we're measured. >> Higher learning. >> Higher learning, absolutely. >> David, thanks for being with us. >> No problem, it was great. >> David Comroe from the Wharton School of Business, University of Pennsylvania. Back with more live coverage here from Dell Technologies World 2018. Right after this break. You're watching theCUBE.

Published Date : May 2 2018

SUMMARY :

Brought to you by Dell EMC, David is the Senior Director of Client Technology Services Glad to be here. for the largest business school faculty in the world. and all the buzzwords. One of the cool things, You're putting me on the spot with this one. You actually, the students have to read the paper, And the data we've seen is, David, one of the themes we keep hearing in this show We need the infrastructure to run that kind of stuff. over the last year or so. One of the great things about working at Wharton is, and Wharton being the school of data analytics. One of the things I love best, David Comroe from the Wharton School of Business,

SENTIMENT ANALYSIS :

ENTITIES

EntityCategoryConfidence
DavidPERSON

0.99+

NutanixORGANIZATION

0.99+

ChinaLOCATION

0.99+

David ComroePERSON

0.99+

John WallsPERSON

0.99+

Stu MinimanPERSON

0.99+

AfricaLOCATION

0.99+

Goldman SachsORGANIZATION

0.99+

DellORGANIZATION

0.99+

50QUANTITY

0.99+

threeQUANTITY

0.99+

Pete FaderPERSON

0.99+

80 papersQUANTITY

0.99+

100 papersQUANTITY

0.99+

five papersQUANTITY

0.99+

five projectsQUANTITY

0.99+

fifthQUANTITY

0.99+

1910DATE

0.99+

WhartonORGANIZATION

0.99+

200 papersQUANTITY

0.99+

100QUANTITY

0.99+

fourthQUANTITY

0.99+

Wharton School of BusinessORGANIZATION

0.99+

Las VegasLOCATION

0.99+

secondQUANTITY

0.99+

fiveQUANTITY

0.99+

13 yearsQUANTITY

0.99+

PennORGANIZATION

0.99+

four yearsQUANTITY

0.99+

South AmericaLOCATION

0.99+

100%QUANTITY

0.99+

1908DATE

0.99+

thirdQUANTITY

0.99+

twoQUANTITY

0.99+

Dell EMCORGANIZATION

0.99+

five best papersQUANTITY

0.99+

oneQUANTITY

0.99+

200 yearsQUANTITY

0.99+

five worst papersQUANTITY

0.99+

three years agoDATE

0.99+

last yearDATE

0.99+

eachQUANTITY

0.98+

2,000 yearsQUANTITY

0.98+

about 100,000 peopleQUANTITY

0.98+

four groupsQUANTITY

0.98+

firstQUANTITY

0.98+

20 yearsQUANTITY

0.98+

OneQUANTITY

0.97+

Murphy's LawTITLE

0.97+

Dell Technologies World 2018EVENT

0.96+

FirstQUANTITY

0.96+

todayDATE

0.96+

Day ThreeQUANTITY

0.96+

500 batchesQUANTITY

0.96+

SocratesPERSON

0.95+

Wharton and PennORGANIZATION

0.95+

Wharton schoolORGANIZATION

0.95+

fourQUANTITY

0.95+

Wharton ComputingORGANIZATION

0.94+