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Hi, everyone. Bruce Morris from the Tab Group here. Welcome to Market Structure Wave. Last month, Tab Forum published a very insightful article on what quant trading firms need to do in that never ending race for alpha. Today, we are very fortunate to have the article's author Mike Russo, senior director, Global Alliance Partnerships for financial
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services at pure storage. Join us on Market Structure Wave. Hey Mike, welcome to Tab Forum. Hey Bruce, thanks so much. How's it going today? It's wonderful and, and uh you're, you're very welcome. So Mike, your article started with the thesis that there's been a shift in needs
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from size and speed to efficiency, models and infrastructure ecosystems. Can you dive into that for our viewers? Yeah, absolutely. I'd be happy to, I mean, you know, quantitative training is nothing new. Uh It's been going on in the sector probably
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for over a dozen years at this point. Um You know, and historically, there may not have been as many players as there are today, right? So back way back when it probably was tied more to size and speed. I think today the strategies are largely based around uh a variety of types of data, everything from sensors to sentiment analysis,
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to climate change, you name it. Um the data sources are becoming more and more disparate over time, right? Uh And that's with good reason people have to get more creative with the way they think about and generate alpha. Uh And that's really created this need for massive data sets coming from all different
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places, not just your typical end of day pricing or your intraday pricing, but some of the sets I I mentioned before and to process and make sense of all those disparate sources, one really needs to have a pretty high powered infrastructure underneath. So the ability for files to be accessed and processed and the ability for models to be fed persistently and performantly has become more important than ever before.
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Thanks for, for that, your, your article then continues to discuss ideas on risk mitigation. Can you share some of the specifics on how quant traders can accomplish that? Sure. So it'll probably center a little bit more around, you know, kind of their resiliency piece and, and keeping data safe. So things like data loss prevention,
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your disaster recovery pieces, your backup or recovery, your ability to kind of stay online at all times. Um That's become mission critical right there, there's absolutely one second down can be catastrophic for, for any firm, but especially when you think about your quants, your data scientists, your high frequency traders every second counts and So what we feel
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is building a a solution, you know, with purest portfolio solution, this really helps people um expand that realm and make sure the data is safe and most importantly that it's consistent and online at all times. And that can be anything from your on prem to your enterprise DC all the way to the public cloud and back. Um Our mission is making sure that that data is
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secure performance and most importantly, reliable and available. Thank you. So, Mike, um how about you? Talk a little bit about the type of tools pure storage offers that empowers researchers and data scientists to achieve this higher level of alpha. Yeah, for sure. Um I would say the whole portfolio really does
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if I'm, if I'm being honest and take it from a pure perspective. But you know, specifically if we dig into some of our solutions, you know, our our flash blade, especially our S series uh is our ultra high performance series. So anybody that's looking to process massive amounts of data very quickly, uh flash blade us, you really can't go wrong with it.
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Um We've seen it out in the wild in a variety of of funds and global banks on an international scale. Um And the results that we see are massively impressive, you know, everything from a report or a model finishing maybe 5 to 10 times faster than it used to a report that can only be run or a model that could be run once a day. Now being able to be run 4 to 5 times a day. Those are the stories that we love to hear and
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that's the impact that we're really looking to make in the model uh in the market I should say is to uh empower those data scientists and really at the end of the day, not be a bottleneck as they try to produce Alpha. Um Also, you know, we have our, our A I ready infrastructure known as Air. Uh We're also doing some great work with NVIDIA around their base pod solutions.
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So when you start to think about really compute hungry workloads and things that may start to rely more on GP US than CP US. Uh Pure has been in this space for, you know, over five years, uh we power one of the, the world's largest A I supercomputers as well. So it's a space that we're well versed in. We have experienced it and we've really seen
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pure, make a difference in the market with well, great Mike. Thanks so much for sharing your time and insights with Tab forum today. And for all our viewers who may have missed Mike's article and the corresponding white paper in Tab forum. There will be a big red button at the end of this video that will take you to the article. Thanks for stopping by for what was hopefully
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both an educational and entertaining ride. On tab forums, market structure wave. Hey, thanks again, Mike. Thank you, Bruce. Really appreciate the time. Have a great day.
