 Hello, my name is Ron Kafka and I'm the senior director for partner scale initiatives for HP Esmeral. Thanks for joining us today at analytics unleashed. By now you've heard a lot about the Esmeral portfolio and how it can help you accomplish objectives around big data analytics and containerization. I want to shift gears a bit and discuss our Esmeral technology partner program. I've got two great guest speakers here with me today. And together, we're going to discuss how jointly we are solving data analytics challenges for customers. Before I introduce them, I want to take a minute to talk to provide a little bit more insight into our ecosystem program. We've created a program with the realization based on customer feedback that even the most mature organizations are struggling with their data driven transformation efforts. Turns out this is largely due to the pace of innovation with application vendors or ISVs supporting data science and advanced analytic workloads. Their advancements are simply outpacing organizations ability to move workloads into production rapidly. Bottom line, organizations want the unified experience across environments for their entire application portfolio. In essence, provide a comprehensive application stack and not piece parts. So let's talk about how our ecosystem program helps solve for this. For starters, we are leveraging HPE's long track record of forging technology partnerships in a created a best in class ISV partner program specific for the Esmeral portfolio. We are doing this by developing an open concept marketplace where customers and partners can explore, learn, engage and collaborate with our strategic technology partners. This enables our customers to adopt, deploy validated applications from industry leading software vendors on HPE Esmeral with a high degree of confidence. Also, it provides a very deep bench of leading ISVs for other groups inside of HPE to leverage for their solution efforts. Speaking of industry leading ISVs, it's about time I introduce you to two of those industry leaders right now. Let me welcome Daniel from Data IQ and Henri Geller from Run AI. So I'd like to introduce Daniel with Data IQ. He's a great partner for HPE. Daniel, welcome. Thank you for having me here. That's great. Hey, would you mind just talking a bit about how your partnership journey has been with HPE? Yes, pleasure. So the journey started about five years ago and in 2018 we signed a worldwide visa agreement with HPE. And in 2020 we actually started to work jointly on the integration between the Data IQ Data Science Studio called DSS and integrated that with the Esmeral Container Platform. It was a great success and it was on behalf of some clear customer projects. It's been a long partnership journey with you for sure with HPE and we welcome your partnership extremely well. Just a brief question about the container platform and really what that's meant for Data IQ. Yes, Ron, thanks. So basically I'd like to quote here Florian Duitour, which is the CEO of Data IQ, who said that the combination of Data IQ with the HPE's Esmeral Container Platform will help the customers to successfully scale and put machine learning projects into production. And this basically is going to deliver real impact for their business. So the combination of the two of us is a great success. That's great. Can you talk about what Data IQ is doing and how HPE Esmeral Container Platform fits in and solution offering a bit more? Great. So basically Data IQ DSS is our product, which is a end-to-end data science platform and basically brings value to the projects of customers on their path to enterprise AI. In simple ways we can say it could be as simple as building data pipelines, but it could be also very complex by having machine and deep learning models at scale. So the fast track to value is by having collaboration, orchestration of online technologies and the models in production. So all of that is part of the data science studio and Esmeral fits perfectly into the part where we design and then basically put at scale those projects and put it into production. That's perfect. Can you be a bit more specific about how do you see HPE and Data IQ really tightening up a customer outcome and value proposition? Yes. So what we see is also the challenge on the market that probably about 80% of the use cases really never make it to production. And this is of course a big challenge and we need to change that. And I think the combination of the two of us is actually addressing exactly this need. What we can say is part of the ML Ops approach. Data IQ and the Esmeral Container Platform will provide a frictionless approach, which means without scripting and coding, customers can put all those projects into the productive environment and don't have to worry anymore and be more business oriented. That's great. You mentioned you're seeing customers be a lot more mature with their AI workloads and deployment. What do you suggest for the other customers out there that are just starting this journey or just thinking about how to get started? Yeah, that's a very good question, Ron. So what we see there is actually the challenge that people need to go on a path of maturity. And this starts with simple data pipelines, etc. And then basically move up the ladder and basically build a large complex project. And here I see a very interesting offer coming now from HPE, which is called D3S, which is the data science startup pack. That's something I discussed together with HPE back in early 2020. And basically it solves the three stages, which is explore, experiment and evolve and builds quickly MVPs for the customers. By doing so, basically you address business objectives, lay out in the proper architecture and also setting up the proper organization around it. So this is a great combination by HPE and Data IQ through the D3S. And it's a perfect example of what I mentioned earlier about leveraging the ecosystem program that we've built to do deeper solutioning efforts inside of HPE in this case with our AI business unit. So congratulations on that. And thanks for joining us today. I'm going to ship gears. I'm going to bring in Omri Geller from RunAI. Omri, welcome. It's great to have you. You guys are killing it out there in the market today. And I just thought you could spend a few minutes talking about what is so unique and differentiated from your offerings. Thank you, Ryan. It's a pleasure to be here. RunAI creates a virtualization and orchestration layer for AI infrastructure. We help organizations to gain visibility and control over their GP resources and help them deliver AI solutions to market faster. And we do that by managing granular scheduling, prioritization, allocation of compute power, together with the HPE Israel container platform. That's great. Your partnership with HPE is a bit newer than Daniel's, right? And maybe about the last year or so we've been working together a lot more closely. Can you just talk about the HPE partnership, what it's meant for you and how you see it impacting your business? Sure. First of all, RunAI is excited to partner with the HPE Israel container platform and help customer and manager GPOs for their AI workloads. We chose HPE since HPE has years of experience partnering on AI use cases and outcomes with vendors who have strong footprint in these markets. HPE works with many partners that are complementary for our use case, such as NVIDIA. And the HPE container platform together with RunAI and NVIDIA deliver a work-class solution for AI accelerated workloads. And as you can understand, for AI, speed is critical. Companies want to gather important AI initiatives into production as soon as they can. And the HPE Israel container platform RunAI GP orchestration solution enables that by enabling dynamic provisioning of GPUs so that resources can be easily shared efficiently orchestrated and optimally used. That's great. And you talk a lot about the efficiency of the solution, but what about from a customer perspective? What is the real benefit that our customers are going to be able to gain from an HPE and RunAI offering? So first, it is important to understand how data scientists and AI researchers actually build solution. They do it by running experiments and if a data scientist is able to run more experiments per given time, they will get to the solution faster. With HPE Israel container platform RunAI and users such as data scientists can actually do that and seamlessly and efficiently consume large amounts of GPU resources, run more experiments per given time and therefore accelerate the research. Together we actually saw a customer that is running almost 7,000 jobs in parallel over GPUs with efficient utilization of those GPUs. And by running more experiments, those customers can be much more effective and efficient when it comes to bringing solutions to markets. I didn't agree more and I think we're starting to see a lot of joint success together as we go out and talk with the story. Hey, I want to thank you both one last time for being here with me today. It's very enlightening for our team to have you as part of the program and I'm excited to extend this customer value proposition out to the rest of our communities. With that, I'd like to close today's session. I appreciate everyone's time and keep an eye out on our ISP marketplace for Esmeral. We're continuing to expand and add new capabilities and new partners to our marketplace. We're excited to do a lot of great things and I hope you guys all be successful. Thanks for joining. Thank you, Ron. What a great panel discussion and these partners, they really do have a good understanding of the possibilities working on the platform and I hope and expect we'll see this ecosystem continue to grow. That concludes the main program, which means you can now pick one of three live demos to attend and chat live with experts. Now, those three include day in the life of IT admin, day in the life of a data scientist, and even a day in the life of the HP Esmeral data fabric, where you can see the many ways that data fabric is used in your life today. Wish you could attend all three? No worries. The recordings will be available on demand for you and your teams. Moreover, the show doesn't stop here. HPE has a growing and thriving tech community. You should check it out. It's really a solid starting point for learning more, talking to smart people about great ideas and seeing how Esmeral can be part of your own data journey. Again, thanks very much to all of you for joining. Until next time, keep unleashing the power of your data.