Scale By The Bay 2019: Nick Pentreath Interview
Recording: Scale By The Bay 2019: Nick Pentreath Interview
[Music] I'm Nick pantry and I work for IBM and a principal engineer within the team called code a which is the Center for open source data and AR technologies like the name says we focus on open source projects and frameworks and applications in the realm of the end to an enterprise AR lifecycle so anything related to Big Data data science machine learning [Music] it is my first time at scale by the bay I do I do a number of events meetups conferences and so on and yeah I've heard about a concrete call where I had first about scale by the way I think I fight Witter but it heard a bit about it quite early on as a prominent event in their community or around scholar functional programming more recently you know machine learning and data science and yeah it's always been on the kind of road map and most of interesting events so I'm really pleased that this heroes are able to attend yeah I mean the the talk today was included the demo which which is really great to see and the best part of it for me was putting all the different pieces together you know so streaming components scaling on the cube cuff pipelines and I'm a machine learning guy so you know plugging in the the model acid exchange open-source machine learning model and seeing how easy it is to really plug into that pipeline and that all system everything we do in our team is out in the open open source based and we work on foundational projects for IBM so things like Apache spark that are used you know across the organization both in client teams and product teams so we set up the confluence of IBM Research IBM product teams and the open source community so everything we do is about making these projects better so everything from apache spark to the Python data science stack 3-2 tends to flow a torch and then the deep learning frameworks model deployments kubernetes and they're all about how to scale up data processing data science machine learning both training and deployment so pretty much everything we do at its foundation is helping IBM product teams IBM Research and IBM customers all and the open source community all scale the machine learning and data woofers today highlighters was seeing Oscar Boykins talk on on XML scoring in Scala and work they've done around the library food for doing that just really interesting to see I've also learned quite a bit about ralfie M today and compiling kind of made of Scala and Java code to to native code if the speed-up you start up and as well as execution time so that's pretty interesting and I'd like to explore yeah ways to use that in some of our work so yeah it's been some really interesting talks today just really being involved in open-source data and AI projects the pace of development particularly in AI and machine learning deep learning is just so great the pace of research everything new coming out that it's difficult to say what I would be looking forward to because no Delft is going to be some new development that's going to be very surprising but that's what I'm looking forward to is the new surprises and the new stuff coming out that you know we get to look out into to really implement and improve and and bring into open source community as well as ultimately into into the business I mean everything I've seen so far is really exciting and you know for me I think it's a great mix of kind of the hard core functional programming stuff all the way through to streaming systems machine learning data science Big Data yeah so that's what I like about it it seems to be a really high quality content really good speakers great venue it's been really interesting to see this place this year so yeah just not much I would change I think it's on the right right track in a great event to be us very happy about that [Music]