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Super excited to be hanging out with Oscar today. From a WS Oscar, thank you so much for taking the time to come hang out. Thank you for having me. So talk to me a little bit about the AWS Mr. AI partnership. First, let me introduce myself quickly. Yeah, give me will talk about the partnership is I'm literally director. I live in New York City and part of my role is a leader group called global expert services. So think about the top experts across multiple domains, data, AI, machine learning. Working with customers across the globe. We work in multiple industries, financial services, healthcare, life sciences, automotive and many more, right. I be when a company for almost 4 years, I feel like 8, but it's only four. Well, this is AI years we're talking about. Yeah, absolutely. And then put in terms of this coming back to your question on the partnership, Mistral is one of our top partners. As you know we have partnered with many companies across the globe for Mr. Lab would consider one of the top partners and here's the reason why customers are looking to tailor their. Large machine learning models and I see MISRA has, you know, one of the tough choices available for customers. And what why is it the top choice? What is it about that that makes it better? So I think there are three reasons. 1 is a customer that looking to tailor the model. So it's they don't want to be kind of like a just a hookup to one specific model. The second one is something that goes down looking the looking for. They want to have the ability to the open their data. They want to be able to secure the data and I believe Mr. has the best choice. In other words, you don't want to be tied to any, you don't want to put your data anywhere. So that's a the the second reason why it's important the partnership. The third reason is when I look at a bliss we have been working on the enterprise customers for more than 20 years, right, Yeah, 20 years. So bringing this experience was having Mistral and AWS is combining like whatever called the kid and the the grandpa right. That's a that's the best way that I was calibrated. Yeah, yeah, yeah. So So what are you. What are you able to learn from the Mistral team? What does the kid teaching the grandpa? So I would say what I, you know, like today when I this week when I'm learning is one example is. Neutral is, is one of these companies that are is like the one example, one of the customers that we're working on HSBC. Is one of the largest customers for a WS. One of the largest customers for Misra and also for Invidia. So think about this a pretty pretty good combo right? And and when I look at the the synergy uses. Miserably bringing the best engineers as far as data science and goals. A WS is bringing what we call the there's a new term called forward deploy engineering, which is think about like we're bringing the top engineers across the bliss. We get together with the customer, Mistral is part of the mix and we're able to deploy something in production in 30-40 days. That's that's really the velocity that we're talking about these days. So what sort of industries do you think since you get to see the lay of the land across different verticals, where are you seeing the most exciting stuff happening? It is an industry specific, are there or do you think it's particular enterprises and companies that are really doing exciting stuff? What what gets you excited the most during your work day I guess is what I'm asking. I would say it is a great question. In terms of the industries, my in my place in my case. I used to be a customer, I used to be a partner, so I'd be in the now I'm a WS employee, so like a I have the gone through 360. And from my industry point of view, what I feel that all the industries are being disrupted. There is no any exception right now, right. Probably the industries that are really ahead of the game are the ones that are putting their. Our innovation and companies like a Mistra. Right. That's, that's, you know, there are other other companies they want, they don't want to be the first ones. And those companies, those industries probably is gonna take a while for them to wrap out there. What I can tell you is across the globe in financial services here, Caroline, science, retail, manufacturing, everyone, they're pushing their boundaries at the moment. Yeah, it's exciting me pushing the boundaries together. And you need folks like that to to make sure grandpa keeps up. No, I'm kidding. I'm kidding. And BS is an extremely innovative company. I just want to be very clear. That was absolutely 100% of. So talk to me a little bit about where you think we're going next. You know, I've been working on this, uh, on tech industry for more than 25 years across data, data science and. Is I look over the last probably 23/20/24 it was a genie I the GPT everyone right? Yep. And then last year was JFK I. And this year at the Antica is taking a different level. And now everyone's talking about physically I. Right. So from my perspective, what is next? Number 1, I feel that a first companies need to really move. Those Provost concept those prototypes to production. That's really the first part. It needs to happen, right? Some companies make gonna fail. Some of them will, hopefully many they will succeed. That's that's what I think is gonna happen over the next six months, one year. The second part. I feel that we're gonna have more company. They will be emerging on the AI in the context of the industry. We're gonna see companies evolving that are just focused on financial services, healthcare, because there is a massive opportunity for everyone, right? So again, this is my take, but I feel that it's important to tailor the AI based on the industry. And the last one, what I feel is going to happen is a. We're gonna see what I would call the multi modal, multi agent, multi industry, multi cloud, you name it, is very multidimensional. Where? AI is going to become no longer the technology formerly the tech people is going to become the. The what I would call the enterprise solution that anyone can use, right? You could be, you could be a technical person, nontechnical. So AI is gonna be in democratized for everyone. It could be my kids, it could be in teenagers, anyone across the globe. That's that's is you're asked me, did I have the right answer? Hopefully yes, but that's, that's my take. I, I really like that though, because you're essentially saying the individual can be an enterprise individual has access to the same toolkit, to the same sort of ability to create solutions that historically would have been impossible, frankly, or at least very extremely cost prohibitive at at the least. What do you hope that AI does for you, your family and your loved ones, your life outside of work? So what I the first time but I would love is for. AI to open doors for a. People that are looking for new opportunities. So my. So I think it's. Sometimes we see AI does the replacement for the human being. I would love to see it as the. Way for us to augment what is what are the things that human being cannot, they're not can do, do today? That's the first part. The other part I have hobby I can do for my family, my wife, my son, my friends and everyone is be able to also make it AI available for people that are they don't have any modern technology. There are many situations people reach out to me and also say, Oscar, how can they get up to speed on AI? Too expensive even to take a training drive. So what I see is what I'm hoping for AI to become open source. Would open no open source community when anyone can access the training certification they can access compile like a mitral anywhere. I would love to have people anyone be come to the GTC 2027. I would love to, I I love that as a as a call to action. And how cool would it be if we both met someone next year who had been using your tools, who had never written code or had never build something, never real tech, right? Yeah, I would go for that. Yeah. Come find us next year, whoever you are, if you're if you're watching this right now, come find us. Oscar and I will sit down here and and we'll interview you. Last question for you. What? What would be your advice to a young person or a new builder who's, who's thinking about creating this person that we're just talking about? What, what's your advice to get started? And I know there's a lot of different ways, but what, what's the what do you think is the easiest way to get started? Thesis There are three recommendations that I will give to anyone not used to the youngest people, also of adults anyone right? So #1 is keep learning. You don't learn, you will come up obsolete next day. So that's my first guidance to anyone right, applies. It applies to me as well to anyone right. The second guidance is. Take a certain, take a risk, take a take a challenge. In you may feel you may succeed, but you're gonna learn and whatever you can learn that can help you for the next step. So that's the second part that I would highly recommend. Just give it a try, right? And the last thing that I would recommend is is a fight someone that can be your mentor, a coach happy to, you know, talk to people. That's something I love. I see sometimes we as a human being, we, we feel that we know the answer. The reality is that's not the case. So most of the answers. Personas de Answers Dread. Happy his answers are coming from my mentors, coaches, people. They guide me through my career. Well, shout out to all your mentors because you've always done a great job and they're watching that probably, you know, thank you for all their support. Yeah, definitely. That was such a nice note to end on. And, and and it is so I I love that you brought that up because people do wanna help. You love helping people. I like helping people. So I felt like company around helping people tell their story. I think, I think it's it's we're not as scary as you think. And nobody knows everything right now. There we are all certainly learning together. Oscar, thank you so much for coming to hang out. This is great. Thank you for calling me, this is really a joy and we look forward to figuring out whoever has the new company. They started using a WS and Mistral AI in in 2027 at GTC. Absolutely. My name is Savannah Peterson, thanks for coming to learn with us.
The Mistral + AWS partnership makes a lot of sense from an enterprise deployment perspective. What stood out to me: running Mistral models natively on AWS infrastructure means teams can keep data in their existing VPC — no external API calls, full control over latency and compliance. For AI engineers building production RAG systems or agent pipelines, this is huge. You can fine-tune on SageMaker, serve on Bedrock, and keep your entire stack under one cloud governance layer. The open-weight + cloud-native combo is exactly the model I see winning in regulated industries. Excited to see what joint solutions come out of this. 🔥
Bon bah... Si vos serveurs sont américains, le bénéfice que Le Chat soit français est instantanément effacé. Louer des serveurs français ou mieux investir pour créer vos propres serveurs Mistral IA, ne serait-il pas la chose à faire ?
From my experience, the biggest challenge is exactly what Mr. Rodriguez mentionsmoving AI from prototype to real production. Combining strong infrastructure with flexible models makes perfect sense. In practice, everything depends on absolute security of data directly from operations. What are your experiences with deploying these models in environments with strict security standards?"
The Mistral + AWS partnership makes a lot of sense from an enterprise deployment perspective. What stood out to me: running Mistral models natively on AWS infrastructure means teams can keep data in their existing VPC — no external API calls, full control over latency and compliance. For AI engineers building production RAG systems or agent pipelines, this is huge. You can fine-tune on SageMaker, serve on Bedrock, and keep your entire stack under one cloud governance layer. The open-weight + cloud-native combo is exactly the model I see winning in regulated industries. Excited to see what joint solutions come out of this. 🔥