 First of all, I'd like to say what an honor it is to be here and that sometimes great things come out of small meetings. Nine months ago or so, myself and the Dell EMC team had an opportunity to come to McGill and to fall under the spell of Allen Evans and Ann McKinney when they laid out their vision and the work that McGill has done, not only in Canada but in bringing together this fabulous incorporation of 163 sites worldwide. It didn't take us very long to figure out that we really needed to be part of this and we started a journey amongst Dell and McGill with Ann and Allen and Samir and Jean-Luc and many other members of the group. We roughed out kind of a straw man plan and what we thought needed to be done and it was quickly evident that the Dell had a lot of the back-end capabilities from an engineering standpoint, from a worldwide reach, from an interoperability capability to be able to bring engineering to bear and McGill and your great expanded multinational network had the intellectual capability, the science, the wherewithal to drive us much more rapidly using open science to a solution that really could begin to make a difference. Michael Dell is really dedicated to health care generally and very specifically dedicated to to neuroscience and we really felt immediately that this was a marriage made in heaven. We rapidly decided to have a straw man plan and then to share it with Michael Dell, to a group many of whom are with us today, went to Round Rock. Samir left his cowboy hat at home but we headed off to Round Rock. We met with Michael Dell, we laid out a plan, we're now executing. So I just need to do the corporate slide. I think people frankly don't really realize what Dell EMC is all about. Michael Dell has really led us in a journey. We're an amalgamation or a constellation of very interesting companies. I won't go into detail but allows us to pull things rapidly together. And Michael Dell is putting his money where his mouth is. Dell Capital is investing in many, many, many small startup companies. Some of them open, some of them not that are really driving the boundaries of science, not just in healthcare and life sciences but across all industries. We have the members of most standards bodies. We're driving open source and open science worldwide. And most importantly, getting to what Dylan McGill are doing. We decided to start with a couple of actionable environments where we could move forward and show the efficacy of the use of technology to increase pipeline. So we decided that we were going to use escalation technologies, GPU and FPGA, not necessarily going against supercomputing but being able to bring IT to bear to accelerate pipelines. We also decided that it was necessary to expand the use and the replicability of the accepted heavy workloads. Spark, Hadoop, Kafka, many others. And to be able to not only exploit that technology but be able to make it sustainable, replicable, and cost effective. And then lastly, we recognize that the artifacts that are used by all of you have to be retained and kept immutable for decades or centuries. And we needed to have a data lake to be able to make all that happen. The first venture into that we've completed thanks to Sean. I'm not sure if he's here. Sean rapidly used one of our centralized IP capabilities and moved rapidly to accelerate a workload. We wanted to see how it would work and could it be done. You're all familiar, I think, with this workload. We're able to show a 23X reduction in time to process a really, really, really big data set. That's the first step. We're going to work at McGill to pull together a unified environment which will allow for us to be able to federate, secure, and contain data. Many of the conversations we've had about IP and open science. How do you meld and mix those pieces into an immutable environment, into a microcontainer? So it can be used, it can be accessed. The researcher, a clinician, can build their own customized tool set. It's auditable, and it is preservable over time. So this is a roadmap that we're pursuing next. And it's ambitious, however we think that we can rapidly execute against it, it's going to solve. I think I'm not smart enough to solve a lot of the higher end problems. But we have the engineering capability to bring to bear an ability to build a repeatable, scalable, federated, democratized framework which can bring time to value of data. And I think using the 80-20 rule will allow us to accelerate and reduce cost. Again, at the hackathon, one of the big issues was the cost of IT, sustainability, ability to be able to pull together structured, unstructured, semi-structured data and to be able to preserve it. We think we can conquer some of those things. We're moving rapidly to do it. And I just want you to know Dell EMC is all in with McGill and your network. We're going to report out, Alan, I assume, and at this next meeting on what the next level of progress is and hope we can drive this as a federated multinational offering that will move the needle forward. Yes, exactly. Yeah, so this will be a national effort with us in Canada. And again, the United States is a wonderful place. But Canada is enlightened in the sense that they have a unified archiving environment. They have a unified ability of access to IT through Compute Canada. And as a person who's been doing medical imaging for almost 40 years, a location and an ability where you can access medical imaging archives and be able to mine that data to be able to enrich your other data sets, there aren't many other places in the world where you can do that. So we're going to work aggressively to pull those pieces together. I don't want to overstate what we can do and when. But I think this is exactly the right place to do it. And Michael Dell sends his regards. And we look forward to great things together. Thanks for having me. All right, so thanks to all the speakers. If I could ask you to take a seat on the stage and I'm going to give one microphone to Richard.