Microsoft AI Tour Helsinki 28.4.2026 | Keynote-puheenvuorot

Thank you my friend. Thank you.

Well, thank you. Thank you.

Well, good morning. Good morning and welcome to the Microsoft AI Tour here in Helsinki. I'm thrilled to be here with each and every one of you today because it's my first time in Helsinki and there's not too many places in the world where I get to speak to our customers and partners where I can say it's a first for me. So, I'm very happy to be here. It was awesome this morning taking a brisk jog out by the waterfront and seeing the glory of the city and the sun rising so early which is nice compared to what we experience even in Seattle. So fantastic to be here with each and every one of you. I have a job to do here in front of you. I want to do three things for you this morning. One, I want to talk to you about a topic I call frontier transformation, which is all about demanding more from AI, making sure AI is contributing positively to society and unlocking growth. The second is we're going to show you all the latest capabilities that we have built into the Microsoft portfolio to help enable your success on that journey of becoming Frontier. And then third, enable you to hear from some of your peers and how they're navigating all of the transformation opportunities today, which is my favorite part of the show. So, but before I begin, one of the things I do before I go to each city, and we're doing 40 cities this year, will touch over 100,000 customers in venues large and small. One of the things I do before I come to each city is I use Copilot to run a bit of a prompt to help myself get indoctrinated into how things are going here locally. And so my prompt is hey I'm going to give a presentation tomorrow in Helsinki. Tell me how people in Finland are thinking about AI. You know what do they see in terms of opportunity? What are the concerns? And you can see the prompt here and some of the responses. And here in Helsinki, it's fascinating to see that, you know, while the majority of people are very excited about the opportunity around AI, there is a mix. There's a balance. 60% say, hey, we're very excited. We see opportunity. 40% cautiously optimistic, more concerned about how AI is going to impact society and making sure that the appropriate regulatory measures are in place to get the most out of AI whilst at the same time doing so in a trusted way and delivering on the positive promises. So if you look at the potential for impact, there's no question. It's not a question of if, it's a question of how. Making sure that you have the appropriate guardrails in place to get the best out of your AI capabilities whilst at the same time adhering to governance, manageability, cyber security, and frankly the ROI of AI for your business across all industries. So at Microsoft, we take this quite seriously. In fact, if you think about the first wave of AI solutions that have come out over the last 3 years, much of it was around productivity. In fact, I don't think our industry has done too much of the world a great favor by focusing on productivity and efficiency and leading to some of the concerns about the impact on jobs and career obsolescence when in fact if you actually push AI to do more for humanity you can unlock growth, creativity, democratize intelligence. You think about the gaps in society that have existed throughout time. Those who have had access to knowledge, the opportunity to learn, harness their potential, have outpaced those that have not had that access. So, putting AI to work for the world's best educator, the cure for the incurable, unlocking creativity and growth, the world's best film creator, the world's best musician is out there. And that potential can be unlocked through AI. So we have focused a lot of our attention over this last year on building a platform to enable this potential so that we can demand more from AI as a society. But like all businesses, you need a framework, a framework for success. And we've put forth this four-pillar framework at Microsoft. In fact we use it internally. I'm the proud owner of it inside of Microsoft so I use this framework for success to measure and think about the outcomes we can drive using AI. And again, it's been fascinating. The pace of adoption has been unlike any other wave of technology we have ever seen. Three years ago, everybody thought, wow, okay, we can kind of see this as being some cute parlor tricks. You know, maybe it can help us write our holiday cards, but I don't think anybody actually took it serious in the context of business. Then as time went on, fear, uncertainty, and doubt set in, and folks would come to Microsoft headquarters saying, hey, Judson, we think the AI robots are coming to kill us all. What can you do to help? And now today, people have a thousand big ideas of all of the things they think they can get done with AI. If they've paid an advisory firm $25 million, they have 4,000 big ideas of all of the things they think they can get done with AI. And about 98% of them aren't really very good ideas because they're grounded first in technology versus business outcomes. And we believe AI transformation, frontier transformation has to be grounded in business outcomes, empowered by technology and in that order. So this four-pillar framework helps us stay grounded. You have to ask yourself, is the AI solution in question going to enrich the experience of our employees? Are we going to be able to attract the best talent to come to our company once they're here? Can we provide them with the best tools to nurture their potential to help them realize their career opportunities and goals more effectively with the AI that we've put in place? We measure this inside of Microsoft in our own AI transformation. I've rolled out Copilot to all of my people. And you might say, well gosh, that's obvious. You make the product, but actually the opportunity cost is quite high because of the cost of the infrastructure and everything we have to do to prioritize these days. Everything I implement internally is just one less thing I can implement externally. So the payoff must be there. So weekly I track the utilization and the enrichment of the employee experience and measure it back. And I can tell you that within our sales force, for example, the folks that are the top users of AI are 10% better at producing pipeline, have 23% faster close rates, and generate 9 million more revenue per head. So the business results and the outcomes and the nurturing of the environment is critical. When it comes to customer engagement, you also have to think about how you're going to personalize the relationship you have with your customers. And Microsoft has tens of thousands of enterprise customers where we have great one-on-one relationships, but we also have millions of SMB customers. I would love it if someone with a Microsoft badge could talk to each and every one of those customers, but it's just simply not practical. We can use AI to drive hyperpersonalization and better engagement, customer self-service. And as a result, our NPS scores have gone up by over 12 points. Our customer self-serve is up 35% year-over-year. And so the realization of growth through better customer engagement powered by AI is there. The third pillar is about reshaping business processes. And we all have legacy processes that need to evolve. Microsoft recently celebrated its 50th anniversary, which is not that old. Many of you work for companies that are older, but in technology, 50 years makes us ancient. So, we have to remember the fact that when Microsoft first started distributing its products, we printed software onto a CD and put it into a box and handed it to distributors and had them send it around the world. If you stare closely at my order management system today, you can see artifacts of that past. Using AI to reshape those business processes so that people can spend less time on the overhead of operations and more time working with our customers, more time innovating new products. We've committed to our board that we'll continue to grow revenue at the same rates for the next three years with the same headcount. So, it's not about reducing our workforce. It's about shifting to the left and having better engagement with our customers and shifting to the right and building better products for our customers. Which brings me to the fourth pillar, bending the curve on innovation. We've all seen what AI can do in terms of writing software. And in fact, at Microsoft, on average, AI writes 35% of the code that we have today. And that spans across our entire portfolio. Some of our newer products like the ones you'll see today, Copilot, Co-work, more than 80% of the codebase for that product was written using AI. So we can see how it helps you get better product, more product to market faster than ever before. But it goes so far beyond coding into basic science and discovery. Our quantum lab teams that are staffed with very intelligent PhD researchers that are the last folks in the world that would admit that AI could help them do something better than they could do it themselves. They will tell you that we're 5 years ahead on our quantum delivery. We're now bringing chipsets to market. We never would have been able to do that without using AI and the discovery process, new states of matter, new materials. And it's not just in technology, it's in other industries as well. We see it in healthcare delivering on the promise of AI drug discovery, shortening the cycles to bring new medications to market, better cures, lower costs, better outcomes for society. So this four-pillar success framework when used properly can help drive frontier transformation, true growth, expecting more from AI. In addition, you need to have the right approach inside your company. These three traits we think represent high potential for the frontier firm. First, you have to put AI in the flow of human ambition. We can't spend our lives cutting and pasting into prompts and getting data back and then figuring out what to do with it. It has to show up in the tools that people use each and every day. And you'll see this throughout the demonstrations that we're going to have for you this morning. The second is you have to unlock ubiquitous innovation. There's a maker in every one of us. And more often than not, the people on the front lines closer to the business are actually in the best position to solve these problems versus having to rely on professional IT or development to build products for their own use. So putting AI development tools into the hands of the citizen developer and enabling that business potential is super critical. But if you do that, you also then have to have this third trait which is observability at every layer of the stack. What is AI doing in your environment? Is it helping you to produce the outcomes that you expect? Is it operating in a well-governed, well-managed and secure capacity? And are you getting the ROI that you demand? So, we're going to show you how you enable these three traits through the power of a platform. So when I travel to all of these locations around the world and have great privilege to talk to so many customers and so many industries, I often ask, what do you think the most important aspects of an AI solution are? And if I were to have asked you to do a little bit of a survey, I'm sure we'd get a lot of different answers. But two that most often come up are, gosh, Judson, isn't it about models? Like every day, every week, we hear about a new model dropping and new capabilities with the model. So models must be one of the most important things in these solutions. Then some of you might say, well, it's silicon, right? You need GPUs to make AI come to life. So it must be models and silicon must be the two most important things in an AI solution. This morning, I want to debate that with you. I think the two most important things in any AI solution are intelligence and trust. You have to have a platform that harnesses your intelligence as an individual, as an organization, as a company operating in an industry. And AI needs to amplify that intelligence, not take it over, amplify it, help you reach your potential while you continue to build out the platform of intelligence that differentiates your business. The second thing is you have to have a trust platform that enables this governance, manageability, security, ROI, the things I've been talking about as an aspect of frontier transformation. We believe in this at Microsoft. So much so that we have pivoted our entire portfolio of capabilities around intelligence and trust because these are the two most important things. I mean, case in point, 6 months ago, all anyone was talking about was the latest GPT-5 models. Then a month later, it was Gemini 3. Then a month after that and even through today it's Anthropic. Next month it'll be something else. So do you want to change out your entire information work platform, your entire development platform, your security and operations platform, your supply chain platform, your finance platform, your system of record every time a new model drops? No, you want to build a platform for intelligence and a platform for trust and leverage the latest and greatest AI to amplify the same. So in November at our Ignite conference, we announced over 70 products, but all really anchored around five key products that enable intelligence and trust. The first three all relate to what we call the Microsoft IQ platform. It's a platform that enables your IQ to remain front and center as the top priority in your AI strategy and your top priority in your frontier transformation strategy. It's far different than simply using models to connect to data. I'll give you some examples. Work IQ is the brain inside of Microsoft 365 Copilot. It knows how you work, with whom you work, the content over which you collaborate, your most important business flows and it knows this definitively not through inferencing or guessing. The second thing is Fabric IQ which provides the same kind of semantic context over your data. Now what we've done here is we've taken the brain out of Power BI which was already a cross-cloud, cross-data service analytics solution. So if you have data in Google BigQuery or Amazon S3 data stores or Azure data services or your own on-premises data environment you can use Fabric IQ to understand all of your data and enable models to reason over it to produce better outcomes. The third is Foundry IQ which is the middle tier. Think of it as the application server layer that allows you to harness your own knowledge bases and nurture your IQ. Again, your differentiation. Put it all together in a scenario like supply chain management. So, if you're going to build an inventory agent, an out-of-stock agent, an availability to promise agent, you're going to need to reason over the system of record. Lots of data sources. Fabric IQ shines there. You're also going to need to then look at external data, data from third-party logistic companies, weather patterns, tariff scenarios, and there you can use Foundry IQ to harness all of your data. And then finally, you're going to want to work across your distributed workforce and their Work IQ can help you understand how to get the right information to the right employee at the right time to take the right action. So the IQ platform enables model diversity, openness and heterogeneity to really bolster your IQ, keeping it front and center in differentiation. The next major announcement we made was around Agent 365. It's an observability platform, a trust platform that enables you to see every agent operating in your environment, whether it was built on the Microsoft platform or anyone else's. An open registry for all of your agents, connections to your security environment, and a mapping visualization that allows you to see how agents are coming to life in your business. When we turned this on inside of Microsoft before we announced in November, the preview, we had over 150,000 agents being used by 80,000 employees on a weekly basis, which is materially greater number than we ever thought we had. And we're a reasonably competent technology company. So this agent sprawl is a very real thing. Getting your arms around it, being able to govern it, that's what's behind Agent 365. And then finally, we announced Agent Factory, which is a way for you to build agents across line of business using every asset that Microsoft has in one single meter so that you can build consumption patterns that map back to the real work being done and pay for value. But we didn't stop there. The innovation continues. In March, we announced wave three of Copilot, bringing agentic capabilities into Copilot that I'll show you in just a moment. We also announced the preview of Co-work, Agent 365 becoming generally available earlier than we had planned because of the adoption. We already have 30 million agents out there worldwide in the agent registry in Agent 365. And then we announced something called Microsoft 365 E7, the frontier suite that has all of these Copilot assets and Agent 365 built into the solution so that you can deliver on the promises of AI transformation. Now, we've brought all of these scenarios to life today for you in a scenario through a company we call Zava. And I want to play a video for you to introduce conceptually everything that we will show to you for the rest of the session this morning. So please roll the video.

Okay, so before you all pull out your mobile phones and try to buy stock in Zava, we made it up. It's not real, but we made it up based on the inspiration that we see from so many companies around the world. And many of the scenarios in the Zava story are coming to life today in customers that we work with in so many different industries. And so we're going to unpack how you build this kind of innovation in the spirit of becoming Frontier. And we're going to start in the marketing department and I have Ann Krepky here with me. Ann, take it away.

Super. So Copilot Co-work basically allows you to multitask using agents working on your behalf.

So, you can basically interrupt the flow of work just like you were talking to a human saying, hey, listen. Actually, I need one more thing done. And add it to the flow without disrupting what you've already asked it to do. Awesome. So, it's right in the flow of how you work. You're not popping in and out. The context is there just as if you were, you know, going into Outlook and scheduling the meeting. It's right there in the flow of Co-work. Awesome. Super. Awesome. We'll go check in on the numbers and I'll be back with you. Thank you so much.

I'm doing great Nerja. How are you?

So we just saw Ann kind of prepare the basic pitch deck and the power and that Word document. But the thing that matters most is can we make money on this solution. So let's talk about the numbers here.

Cool. So basically if you think about this you have this V1 doc that you know you use from prior launch that could have been created with a different model or frankly created by hand. You now have V2 context sitting in a different document. You're asking now a new model to go operate against that and take V1 context and update it with V2 thinking. All within the boundaries of a trusted environment. Got it. Mhm. Yeah. So I think you're highlighting something really important here because you know while Anthropic is a great partner to Microsoft and they've built a nice plugin for Excel, the power of Work IQ is really differentiating here because it's faster, more accurate, and more trusted. You're able to produce the results in half the time. They're far more accurate based on what we're seeing here and they're more trusted because it picks up on the security context, the data and information that you have the rights and privileges to access and the things that you don't. Super awesome. Very well done here. Super. Okay, so now that we know that our marketing plan is actually financially viable and we're gonna kind of check back in with you and take these numbers and put them into the GTM context and the documents and PowerPoint presentations we're going to then show to our board and get approval to launch this product.

Really cool. Got it. Right? So, the model's trying here. It's inferencing or guessing over the financial data and putting it in the document. But to the reader, it allows you to make mistakes with greater confidence than ever before because the data is actually not right versus when you use Work IQ, it's the direct access to the information, your intelligence that you've harnessed. Cool. I can see Nerja's already put the business case from finance in a slide, but it's just a little bit basic and this is going in front of our executive team. So, I'm going to use PowerPoint inside Copilot. Copilot inside PowerPoint and ask it to simplify the slide so it's exec ready and make sure those key details popped. So, just like I did in Word, Copilot in PowerPoint is going to edit that slide directly based on what I've asked it to do. That's super cool. So what you've been able to do here is actually use a different model with the same context to update the PowerPoint information here because you started off originally in Copilot Co-work using an Anthropic model. Now you're in PowerPoint using an OpenAI model, but your Work IQ is maintaining that consistency across everything you do. Awesome. Super job, Ann. Thank you so much.

Thanks, Ann. So what Ann has shown you here is that you can create these assets using Work IQ in a model diverse and open and heterogeneous way that your output is faster, it's more accurate, and it's trusted and you can use it across multiple modalities across chatting with the data, across creating new assets or new artifacts as we call them but also augmenting those artifacts versus the models that will just simply create a new one that is outside of the context of your security controls. The next big modality though is actually building agents on top of that data and we're going to check out what's next here with Stephanie.

How are you?

Okay, cool. Great. So, it's a full agentic workflow. Cool. So, you're reasoning over the system of record. You're reasoning over Work IQ. You've added some other files to use as templates. You've built that all here without writing a single line of code. Really cool. Awesome. Super. Great. And then that D365 ERP server comes in or it's going to pull in the specifications so that we have information about the materials. Now if anything looks unusual, I can also look

Makes great sense.

That's awesome. So the power of Copilot Studio helped you leverage all kinds of data sources, Work IQ, your system of record, allowed you to use multiple models, frontier ones as well as some fine-tuned open source models to sort of reduce the cost associated with the agentic flow. And then from left to right, you've built something that automates your entire launch process all without writing a line of code.

Awesome job. Thanks, Stephanie. Well done.

Okay, so now we've gone from the early stages of marketing and conceiving of a product, running the numbers from the finance team, getting approval from the board by creating all kinds of rich artifacts that we could present. We've gone through the supply chain analysis and produced the GTM doc, and now we're going to talk to Seth and the professional development department about getting that product built and taking it to market.

Hold on. I have another one. Menen.

No, no. I was laughing at you saying I'm a professional dev because I got an email on Friday from Ann and she said we need to do the new V2 website. And when Ann sends an email, we all have to just do what she says. And so instead of, because you know how I love reading emails and marketing documents, instead I'm going to use Copilot and Work IQ to make this all happen. What do you think?

Before we get there, I want to show you a couple things. So the first thing is that when you are looking at GitHub Copilot, this is GitHub Copilot and the CLI. You can choose from any number of models, and I'm talking about all of them. Recently GPT-5.5 came out. That's the one I use. It's pretty cool. But the other thing is you can also do a couple of things like you can shift how you work. So, for example, if you don't want to do anything, you just want to plan, you can send it into plan mode. Or sometimes when I have a very important project that I need to make overnight, I basically put it on autopilot and go to sleep and then wake up and see what it's done. And it actually, I have done this. This is a real thing. It's really cool. And then beyond that, for example, you can hook up things like skills, and you're going to see some interesting skills in here that help me bridge the gap between emails, documents, and work and dev. And so, those are all in here. So, I did this last Friday and when you look at it, I'm going to speed it up, but it took all of 10 minutes to do this. So, I'm going to speed it up. Here is me going in and saying, 'Hey, use Work IQ to find the latest email from Ann about the Zava store. Read the linked document. Then do what she asks because that's what we do, you know, at Zava, right? You're trusting.'

That's cool.

That's awesome.

I do have one question for you though. So if GitHub Copilot and Work IQ are doing all of this work, what exactly are you doing?

I see.

Got it.

We'll talk about that later.

Maybe I should refresh the page.

Awesome. How about that cool experience?

All right, let me show you what makes this, because you talked about intelligence and trust at every layer. This is a developer layer where you as a developer can actually link all of the IQs together, link all of your assets together, and write code to make it all work together. And that happens through Microsoft Foundry. In Microsoft Foundry, you have three different things that you can do. You can discover, you can build, and you can operate. On the discover phase, we have a lot of models that you can use directly. No anything in between. You can use these models directly and you can do things with images, you can do things with text, and you can do things with voice as you literally just saw all there. The second thing is build. And when you're building things, there is this new primitive for developers called an agent. And an agent is a combination of three things. The first thing is the model. The second thing is the prompt or the instructions. And then the last thing are the tools that you can use. And for us, we have a ton of tools that you can give it. For example, something literally like Fabric IQ is loading them because there's a lot of them. So you can see here's a ton of them. And here's Work IQ, Working Teams. Fabric is in here somewhere because they just changed it today of course. And notice that you have the ability for agents to access all of these things. And then the last thing I want to show you is this new special tool that we have called Foundry IQ. The cool thing about Foundry IQ is it's IQ over your stuff, right? And so, for example, our Zava policy documents on how to do shipping are stored inside of Foundry IQ knowledge base and it's able to actually look at and so when my custom agent that was talking delegated to this agent that then asks Foundry IQ, it's almost like a chain of things that you want to actually have happen inside of your application. And then last but not least, we want observability at every layer of the stack. Foundry control plane is observability at this particular layer. And notice that I can see all of my agents. I can take a look at how much things are costing and then I can also see oh there's some issues that may have happened. Foundry, Microsoft Foundry is very good about stopping jailbreak attempts but this is a security thing that then security professionals...

So notice there's a really cool experience that I built as a dev. The first part obviously I did it when I was sleeping. The second part this took a little bit longer. Tell the boss about this because this is the kind of experiences that people are going to come to expect where you have natural and personalized experiences that deal with facts in a secure and safe way.

Thank you so much. Nice job.

So now we're going to talk about the next layer of the IQ stack, Fabric IQ, and where all of that data resides. You saw Seth's agent doing some things like providing discount logic to provide then cross-sell and upsell from t-shirts to cleats. All of that is happening at the reasoning layer that sits on top of your data. And Tyler here is going to show us a little bit about how Fabric IQ brings that to life. How are you, Tyler?

I'm well, thanks.

Absolutely.

Cool. So it's cross-cloud, cross-data service allowing you to reason over it with one semantic context layer.

Yeah. So this is just going against the data directly without IQ.

Okay.

And the nice thing is all the semantic models that we previously built can be automatically ported over to Fabric IQ models. So we get a head start. We've got a jump start now in using the Fabric IQ modeling experience here. It's really just building a context graph. So it enables us to define business entities and relationships within that data and we can bind different data sources to those entities to give reasoning and understanding of the data so that any agent whether it's through Copilot Studio or Foundry can now access this intelligence layer. So let's test this out. Let's take the same data agent and we're going to now sit it on top of our IQ model instead of our raw data. We'll ask the same question.

Super. Now, Fabric IQ also unlocks our ability to innovate. With the IQ adding that business understanding, we can start to use tools like Fabric's digital twin builder to build virtual replicas of our products. One tool we built on top of our digital twin model is the Zava 3D product visualization tool. Let's take a look. Now, any visualization tool that's supported can sit on top of our digital twin builder. In this case, we're using Nvidia's Omniverse for the visuals, but we're making it come alive with real-time streaming data from Fabric. Here, I can instantly see how our soccer cleats perform across different environmental conditions. In this case, it's across three unique material types. We can swap out the material configuration and see how it impacts heat within the cleat shown in red there. This way we can look at optimizing the configuration and ultimately design a nice breathable shoe.

Absolutely. That's Fabric IQ.

So we've seen how the IQ layer has really enabled Zava to innovate faster, get products to market more effectively, and leverage the power of their intelligence leveraging model diversity and openness to yield better results for their customers. Now, we're going to look at the trust platform that I talked about because all of these agents operating in the environment need to be governed, well-managed, and secured. And Sarah's going to show us how we do that using Agent 365.

That's cool.

Yeah. Before we bring it back online. So that's the Zava support. So, we're feeling really good about the agents that we have in Zava, but we also have new agents. Zava is frontier. It's bringing all of our departments and requesting new agents all the time. Now, in Zava, we have a policy that says that any agent that accesses sensitive data must be reviewed by security. Now, traditionally, that would create a huge bottleneck, but Agent 365 allows me to do this really easily. I have here in the request queue my agents that need to be reviewed. It's going to show me all the same overview that I saw for the other agents that we've seen and I can then accept or reject it and it goes straight into production. So nice and smooth, less painful and that is how at Zava we do our security and observability without slowing down innovation.

Thank you.

So I want to summarize what you've seen here because I started at the very beginning by saying the two most important things in any AI solution are intelligence and trust and we're reshaping our entire portfolio of capabilities at Microsoft to deliver on that. We're also working very hard to make it easy for you to simply adopt these capabilities and do so with a cost structure that has you only paying for value. So we launched the Microsoft 365 E7 Frontier Suite that has all of the capabilities that you saw today from Copilot through to Agent 365, the underpinnings of Work IQ, Foundry IQ, and Fabric IQ, and Agent Factory as a way to map back any model access to any agent that you want to use. So whether you want to build agents using frontier models, open source models, your own models, you can do so with Agent Factory. And then on top of that, we provide you with the engineering resources that bring that to life. So we're committed to empowering frontier transformation with our portfolio. The other thing that builds upon our trust promise is the need to deliver all of these capabilities in a way that is sovereign to how you operate in Finland. And so we have worked very hard to provide a continuum of sovereign capabilities in the core platform from software-defined sovereignty running on public rails. So our sovereign public cloud, enabling confidential compute, encryption capabilities so that you're managing a sovereign set of data and AI access but doing so with software controls running in the public cloud. We've extended that to something we call sovereign private cloud which allows you to leverage Azure Local, Microsoft 365 Local running in your own data centers, building out some of the very same assets you've seen here but doing so on-premises in your environment using cloud-based controls. We announced just yesterday that we've expanded the sovereign private cloud to include now thousands of nodes. So we're building out scalability allowing you to manage these assets in your own environment. And then finally, we've established national partner clouds in Europe with Blu and Delos enabling the full capabilities of the Microsoft public cloud, but run in discrete operated controls within the European Union. And so we're committed to this spectrum of sovereign services so that you can build out these AI solutions, build out frontier capabilities on intelligence and trust and do so with the promises of a sovereign cloud. So if I put it all together, everything that you've seen here, we deliberately did not go through product bingo. We wanted to first convey everything that you can build using our intelligence and trust platforms. All of the assets that we can have, you can simply procure them through M365 E7 and our Agent Factory offerings. But everything we're building is designed to pull this one red thread through the totality of your business. From your productivity environment to your business applications to your development tools both professional and citizen development assets to the underpinnings of the services that really amplify your IQ, your differentiation in market and then the governance and manageability through Agent 365, intelligence and trust delivered with sovereign capabilities all so that we can help you become frontier. So, as much as we enjoy telling the Zava story and all of the rich demos behind it, I enjoy telling real customer stories even better. And so I'm excited for the final segment of the keynote this morning. And I want to introduce our guests for you and we'll bring them out here in just a moment. We have Marco the CFO from Nokia, Tomio the EVP and CTO of Kone, and Haneka from OP. She's the chief people and HR officer there. Please join me in welcoming these fine guests to our stage.

Well, welcome to our keynote session here on the AI Tour. Thank you so much for joining me up here. Very excited to hear about the real-world stories that you all are experiencing. So I'll start off with a simple question which is give us an overview of how you see AI operating in your environment. The scenarios that you're most excited about. We'll start there and then we'll get into some more details as we go but Haneka why don't we start with you.

Super cool. That's awesome. And I love the ambition of keeping the human at the center. We're big proponents of course of AI empowering human ambition and needing to do more for society. So we'll come back to some of these things in just a moment but thank you for the work you're doing here. Tomio, welcome.

And driving real business outcomes.

Great. Super. Marco, Nokia and Microsoft have been partners for a very long time. Thank you for being here. Tell us a little bit about what you're up to using AI.

Yeah, very much aligned with the frontier thinking and applying business outcomes and keeping it grounded on the KPIs that you would already use to run the business and delivering on the financial promises as well. So we'll come back to some of that in a moment. But Haneka, I want to come back to you. So one of the largest financial institutions, 14,000 employees. Talk a little bit more about the employee tool chain, the AI assets that you give to your people so that they can be their best.

Oh wow.

Awesome. So that like immersion and skilling AI in the flow of how people work has really made a difference for you.

Super awesome. Tomio, so you have a lot of hardcore engineering folks, but you also have people who are maybe not been terribly exposed to AI capabilities. How are you bridging the citizen dev, pro dev scenarios at Kone?

Wow.

That's awesome. Very cool. And we talk about this idea of ubiquitous innovation and putting technology into the hands of the entire organization to really lift up the innovative spirit and it seems like you've done that there with great success. So thank you for sharing that. Marco. So you talked about the bottom line a moment ago. There's also the top line when you talk about frontier innovation and becoming frontier, having to sort of make sure that you're pressuring the organization to use AI for further development and innovation. Talk about how you're actually weaving AI into the core products at Nokia.

Wow.

Wow.

You're using it for real competitive differentiation.

Awesome. Very good. So we're running out of time which is unfortunate because we could run a conversation here all day. But maybe one final question for you as a bit of a lightning round. When I opened up this morning, I talked about how the AI sentiment here in Finland is somewhat opportunistic and optimistic, but also with caution, right? And some balance. So maybe for each of you, are you bullish, cautiously optimistic? And if so, why?

Well said, very well said. Tomio?

Very cool. Marco last.

Great, well we're counting on that as well. A lot of what we're building runs on your rails. So we really appreciate the partnership. I want to thank all three of you for being a part of the show today. Thank you so much for sharing your stories and for partnering with Microsoft. Thank you.

So, I want to close out our general session with you this morning by thanking each and every one of you for spending time with us today. We know your time is precious and when you spend it with us, it's deeply meaningful to us. We appreciate the partnership. Our mission at Microsoft is to empower every person and every organization on the planet to achieve more. It's not about empowering every agent or every GPU on the planet to achieve more. It's about you. It's about your IQ. Microsoft is building a platform of intelligence and trust so that you can harness the power of AI and have it amplify your intelligence, amplify your unique value and your differentiation, whether it be as an individual or an organization or your company operating in your industry. We want to be the partner that empowers your frontier transformation so that AI can do more for humanity and drive us forward as a society. Thank you so much for being with us today.