Name: Fuel Your Digital Transformation with Rocket® Enterprise Suite 11.0
Uploaded: 2025-09-16T15:30:04.656Z
Duration: 1 h 36 s
Description: Fuel Your Digital Transformation with Rocket® Enterprise Suite 11.0

Transcript for "Fuel Your Digital Transformation with Rocket® Enterprise Suite 11.0": Welcome, everyone. We'll get started in about a minute. Thanks for being here. Hey. We'll go ahead and get started. We're just past the hour. We're really glad that you could be here for this session. My name is Q Mangus. I'm a product marketing manager here at at Rocket Software, and we're joined by Scott Nielsen. He's VP of product management and Guy Sofer, director of product management. We also have Gary Evans and Jennifer Osborne here, to help us as well. Glad once again that you could be here. Let's just talk a little bit about what we will be discussing today. But before we do that, there's a few housekeeping items. This session is going to be recorded, and so everybody on here will get a link to that. Be sure to if you wanna review that, do so and and share with others as well. We will have some time for questions. So, we'd like to, of course, for you to join in and and so please, go to the Q and A tab there, by clicking on Q and A, and that's where you can put in the questions. Also, we're gonna have some videos and other, demo as well. So we'd ask that you go into full screen mode so you can see that. It'll be much easier to see, the demo and and, of course, the slides as well. And finally, we'd love to hear your feedback on this session. There will be a post session survey that will pop up on your screen, after the webinar has ended. So please stick around and and fill that survey out for us. We'll be really grateful for that. K. Let's jump into what we're gonna be talking about. You can see here, of course, we're talking about the 11 release of Enterprise Suite. We're we're it's it's a great release. We're excited to bring this to you and and and bring you what's, what's new in the latest. We're gonna talk about performance at scale. We're gonna have some information about the, customer testimony from AG Insurance, a great customer of ours. And I'm gonna turn this over to Scott for just a moment. He can talk a little bit more about that. Once again, thanks everyone for being here. We're gonna give it over to Scott. Thank you. Thanks a lot, Q. Just so you can hear me okay, get the thumbs up from you. All out and clear. Excellent. Thank you. We'll be hearing from you later on today. You'll come back and take us through sort of the closing ceremonies of of today. But, for now, thank you all again for joining us today. My name is Scott Nielsen, head of product management for our Rocket and enterprise team, here at Rocket Software. My role today is really just to set some context about our solutions and what we're aiming to do, to help you in your modernization journeys. And before too long, I'm gonna be handing over to Guy Sofa. He's really gonna be focusing on the innovation that we've released in this, 11 launch, including a theme around Gen AI. Accompanying that, there's gonna be a very short demo, which we hope will help bring things to life for you. Got two videos in store for you actually today. There's another one, a customer testimonial from AG Insurance. I just wanted to send my, thanks to that team at AG because a lot of work goes in to producing that. And so thank you for allowing us to to share the story, and I'm sure you'll do it later when you have see it. It's really a fascinating story that I've got. So there's a lot here to get through today. So and a few more things that I'll keep us a surprise as we go through. So So let's just get stuck into things. And the way I thought we we thought we'd kick it off today is to share a few statistics with you about the launch. I had intended to reveal this one at a time, but you can see our platform today shares them all at once with you. But let me give you the backstory here behind these numbers. So first one, two hundred engineers. That's number of engineers working in our Cobalt optimization solution here at Rocket Software. But they're actually part of a 2,000 strong workforce working in a variety of solutions that sit around your applications, and some of which are working on roadmap that we will be announcing to you in the future as we connect more Rocket technology with Enterprise Suite. But for our core, Cobalt, and engineering team, we've just added another 16 people to that group as part of our next generation, camp our next generation program. Probably, like many of you tuning in today, you've got these kind of programs running in your organizations to bring new talent in and new blood in to support the future needs of your businesses. We're doing exactly the same here at Rocket. And some of those recruits actually are gonna join the ranks of our 40 plus strong second and third line support teams here at Rocket Software dedicated to our global and enterprise suite. And, actually, let me share a stat that hasn't been revealed about that team on this slide yet. The average tenure amongst that organization is over twenty years. So every member of our team just has tremendous breadth, around our products. There's over two and a half thousand change requests going into this release, which is quite staggering. We are just, you know, really a small sliver of what we're covering today, but we will signpost some resources. You can find out more features that Guy and I won't be covering today. There are over a 150 platforms that we've tested and supported in this release, which probably seems quite astonishing, maybe even an exaggeration perhaps to your ears, but I can tell you that actually really is the case. And just to kinda shed some more light on that, if you think just pick one platform there, Windows, for example, which many of our customers use for development and deployment, there are multiple editions of Windows, of course, desktop and server editions, and then there's multiple versions of those that you might be using. And just extrapolate from there to cover all of the Linux distributions that we support, then think about 32 bit, 64 bit databases, Java, containers, cloud, and more and more and more. And so you really quickly build up a very large testing matrix and a large testing responsibility. And we see it that way because, you know, you could be deployed across any one of that, you know, that kind of infrastructure I've highlighted there. We wanna be in a great position to support you whatever you choose. And then underpinning all of that to kinda give the insurances that you need is a million plus automated test cases that we've developed over the years that we've been in business. And this is the assurances that you need to adopt a new release of our software so you get the reliability that you need, as well as if you want to move infrastructure change infrastructure, go from one operating system to another. That is really what underpins and ensures that you get consistent application behavior regardless of where you deploy your application. Okay. So this was just designed to kinda whet your appetite a little bit about the release. There's a lot more to come. So let me now quickly jump over to a quick intro to the team on the webinar today supporting this event, and really just to, make sure and advertise something Q mentioned earlier about the q and a option that you've got here today because most of the people from the product management and product marketing team team are on the call. And I think we've got just about everyone we might need to handle most of the questions you might wanna throw at us. So please do take advantage of that, and we'll tackle tackle our q and a, at the end of the session. But I also wanted to mention this just to, you'll probably notice there if you've been with us before. There's some familiar and some new faces as part of this team. And it's really just an indication of the growth that's happening in Rocket at the moment around this business. Our little team here, our product management team is growing because of the success that we're seeing in the market, and it's principally due to the success that you are having with modernizing your applications using our technology. It's also a factor of Rocket itself and its focus on this area of our business. And in in case you missed it, back in 2024, Rocket Software acquired the businesses that we're talking about today. That's the Cobol business, the enterprise business, as well as, connectivity, Changeman, and Korba Solutions. These are all former brands and product lines of Micro Focus, and these are all now part of Rocket Software's DNA, moving forward. And one of the things you're gonna observe about this release when you install the products is that, now we've been through much of that integration process. The products themselves are gonna you will see on their exterior a a new brand. They're being rebranded. They're wearing Rockets colors and Rockets livery, on the outside. But let me reassure you that on the inside, it very much is that former microfocus technology that's now part of Rocket software that very much is embedded and complete here as part of this 11 story. Now that whole integration process, you know, has been part coming into a new company. Some of you may have experienced that before. You know, it's quite a busy process for us, but it's in the rearview mirror now. And even while all of that was going on, our engineering teams really had a relentless focus on new innovation and delivering new innovation to you for your system. So I have no doubt today when you see some of the things on offer, we'll see we've really getting up to that and Guy is gonna get up to that, very shortly. But before we kinda leave this story around Rocket Software, I also wanna touch on this slide here and this reference to, this, modernization without disruption that you're gonna see if you visit our website, and you'll quickly recognize it as a slogan for the the company. But, really, it's far more than that for everybody here in Rocket Software. This is really, you know, and and a north star for all of us. It doesn't matter what business unit you're in. This is something we really set out to to achieve for our customers. And I think it's very self explanatory for particularly for the light of yourselves on the call today. When you overlay the kind of applications we're talking about about here, Mission critical systems, you know, that your business is depending upon and kind of disruption of any kind is something that that can be very challenging indeed. So we set out, very much to, you know, approach modernizing applications from a very different perspective. We're not about rip and replace. We're all about using them as a foundation for you to deliver new innovation in your organizations. There's a little tagline there below that is also also important that I emphasize, here today about meeting you wherever you are in your modernization journey. We're gonna be talking about a type of application modernization, which is really taking advantage of commodity platforms and the cloud during our session today. This is just a piece of what Rocket has to offer. And Rocket, with this acquisition of Enterprise Suite and bringing that into Rocket's heritage here, now is in very unique place in the industry because Rocket can now offer to its customers a choice of modernization pathways that are not dictated by our preference for your infrastructure. If anything, we are led by your infrastructure requirements, whether that's running on z or as I learned now that I'm part of Rocket, also whether it could be running on IBM I or indeed what we're gonna be talking to you about today, which is the whole world of commodity platforms. But Rocket has all of these to offer and takes a very holistic view of what we can do for your applications. I'm gonna head over to Guy in just a moment, but I wanna give you a backdrop to our roadmap as we lift the lid a little bit on enterprise and look at what does modernization mean for your applications. And this is kind of the backdrop to our approach there. We have three key pillars that kind of grounds our thinking in product management, and we drive and and push the frontiers on in every release. And it starts with the choice about where you run your applications, whether that's on z or it's on Windows or Linux, as I said, or in a container or in the cloud. I want to give you that flexibility and that choice. We also need to help you deliver software faster than ever before. We want you to be able to get the changes from the fingertips of your developers into the hands of your customers as rapidly as possible. And for a number of our customers, that's kind of an overnight objective that they have. And then we need to help you innovate faster than ever before and giving you access to new infrastruct new IT architectures that's running alongside Java maybe or API enabling your applications. And our roadmap is, as I say, pushing on all of these frontiers in every release. But it's underpinned by the products in enterprise suite, which begins with enterprise server. You can think of enterprise server as your application backbone providing high throughput, scalable, reliable, application workloads that your systems demand. But while our enterprise server is often talked about in a context of replatforming workload, that really is just the beginning of the possibilities. And for us, it's much more accurate to talk about enterprise server as a modernization enabler. The the the cape the capabilities I talked to about API enablement, for example, these come through enterprise server. For your engineering teams and developers, we offer world class development tools for Cobalt and p o one in the form of enterprise developer. This is gives them access to agile development practices and DevOps work workloads to help them get the job done faster than ever. But underpinning all of the change that's going in your organization is enterprise analyzer. Because whatever we think about your systems is one thing that really we can never ignore or escape, which is really the scale of your systems. They're amongst the largest applications you'll find anywhere in the business. And whether you're an engineer trying to make a tiny change to one line of code and wanna make sure there's no surprises and repercussions to that change, or you're a solution architect who wants to see the entire landscape of the system mapped out, understand all the dependencies. That's the technology that's going to provide that to you and much more besides as you're gonna see today because it's something that Guy's gonna talk to as we go through today. And now's a perfect time to bring Guy on stage. In fact, Guy's gonna take you through the highlights of eleven zero and what we've been doing in each of these areas. So over to you, Guy. Thank you, Scott. Hi, everyone. My name is Guy Soffer, and I'm part of Scott's product management team here at Rocket Software in charge of the enterprise suite. I'm super excited to talk to be talking to you and present our latest 11 release packed with enhancements and innovation to support your modernization journey. We're not going to go over everything, of course. As you've seen in the statistics, there is quite a lot there. But we are going to cover two main themes, trusted application insight insights and enterprise grade performance at scale. Now starting with the latter, this is all about supporting the very largest and most complex workloads in the world. We have hundreds of customers who are running their mission critical systems, on our enterprise suite. When we talk about scale and track record, you can rest assure we have experience with multiple verticals, technologies, and geographies, Specifically, to support the scale of applications like AGs or other large insurance companies, you need a robust and scalable architecture. You also need to be able to upgrade, maintain, operate, diagnose issues in the application. And that's really in the heart of everything that we do to support our customers. Customers have chosen Rocket Software for the long term. These are not rip and replace prod projects. These are really about future proofing and modernizing core business systems. These are about stability, oper operability, and, yes, also cost reduction. In each release, we strengthen our support for largest workloads, making sure that critical production systems that run on enterprise suite, are resilient, highly available, observable, secured, operable. This is really our commitment to you, our customers, and this is what sets us apart. One of the the technologies that ensures this is our performance and availability cluster or PAC. A unique piece of innovation that utilize industry standard, technologies such as enterprise databases and cloud technologies to provide a scalable deployment of applications running on enterprise server. This is basically the technology that allows us to re platform mainframe applications to distributed platforms while maintaining, the mainframe characteristics and SLAs. Now even if it is not suitable or needed for every customer, it is evidence of our innovation and leadership. Using this technology, one of our largest customers is now running a cluster of a 100 enterprise server VMs, achieving shorter bet cycles than they had on the mainframe and in a highly available and scalable architecture. This is quite a remarkable milestone for mainframe application modernization. And in 11/00, we are very proud to, to say that we are extending the scale out support to IMSTM applications as well. It is another testament to our investment, tackling one of the most complex types of major applications. The result of years of investment by the r and d team and something customers, partners, and cloud service providers have been asking for. This means we can now replatform and modernize IMS applications as well to a highly available and scalable architecture on your data centers, cloud, or in a hybrid deployment. Now the early adapter program or EAP as we call it is here to signal that this is a major new functionality, and we expect you to work very closely with our professional services and development teams to make sure implementation is successful. We'll collaborate in qualifying and architecting those, those first few projects and adjust the product as needed to make sure we deliver the most robust and safest modernization path to your application. IMS DB scale out, IMS database scale out is not supported yet, but it is actively under development. So stay tuned for news on that one. Now for, for a few new capabilities to support large scale applications. First is observability. Enterprise server now supports and meeting observability information in an industry standard way using open telemetry. This enables tracing transactions across the entire enterprise architecture, including databases, application servers, and also enterprise server. It's an easier way to diagnose, troubleshoot, and find performance bottlenecks. It allows visualization, visualizing and monitoring using industry standard tools such as Kofana, Splunk, Dynatrace, and cloud native services. So, in fact, enterprise server and Cobalt are no longer black boxes, just another component within your technology stack monitored by your standard tools. We now emit logging and tracing information. Metrics support will come in the next release, which will complete, the standard triangle of the observability stack. Next is security. An increasingly important aspect, I think, we all know. Every release, we tighten up the security of enterprise suite and make sure to monitor and update our supported protocols. For example, adding support for, open SSL 3.5 in 11. We also invest heavily in making it easier for you to make sure your application is secured. Secured. So in 11, we added visualization of access control rules so you can easily understand your permission setup, which group and users have access to which resources, and with which permissions. We also added an option to activate denial of service protection and reports such as certification checking and security reports help your IT administrators secure and harden the setup. One of the recurring requests that we get from customers who run critical production workloads is a secured and efficient way to edit their production data. These are huge and highly sensitive data files critical for the day to day operation of those large scale systems. We now have a new data file editor utilizing client server architecture for fast and efficient remote data editing with security built in. The client server architecture also allows using industry standard automation tools and scripting languages for automating data editing operations. It's based on the powerful Eclipse editor, and it is now available to all our customers. And new editing features are added in each batch update. There are dozens of new functionalities in the editor, such as creating catalog datasets, copy paste support, block editing, ruler support, and many more. And we have number of customers that have already picked it up and started using and evaluating it. Lastly, as Scott mentioned, we do have a fairly large support metrics, and we do, as we do and and as we do in every release, we have made updates to make sure that you can use the latest innovation that is provided by the latest versions of operating systems, development tools, databases, managed framework, etcetera. You have also a link with all the different platforms that we support in 11 in this slide. Okay. So that completes our first release theme of enterprise grade performance at scale. But before we switch to, GenAI and the surprises that we prepared there, let's hear from one of our wonderful customers, AG Insurance, about their project and experience with our technology and team. So let's, I'm Philip Van Bell. I'm the chief information and technology officer of AG Insurance. AG is from far the undisputed leader in the Belgian market. Rocket Software is the best one to make replatforming and build an open platform. It's a key element for the competitiveness of our company. We wanted a future proof evolutionary path, not only for the technology but also for all the core systems we built in the last twenty years. We have launched ourselves to a repair me program. Rocket Software was the ideal partner. They offered us a technology which was very close from our starting position but which also offered us a transition towards the future with a lot of potential integration that we will need to build in a future proof landscape. The new platform with Rocket Software allows us in fact to mix the new development we do and our previous Cobol assets. The people working either in Cobol or new technologies wanted to be part of the journey. So, it increased the retention. It has increased the commitment of all the development and infrastructure people to our IT department. We've been able with this large program to decrease the total cost of ownership with 75%. These savings have enabled us to invest in the transformation portfolio of the business. So we've put AG in ideal conditions in terms of support, in terms of involvement of the business line, but also in terms of impact on all the other roadmaps that we have in our business. Would I recommend Rocket Software? Without any doubt because the partnership we had with them and the quality of the technology itself was really up to expectations. Alright. Thanks so much to the AG team there for that customer testimony. I really appreciate it. Of course, if anyone that's sitting on the call today would love to share their story and, you know, in as much detail as you like, we'd be delighted to hear from you. But now let's get on to the next theme that Guy introduced, at the start of this section, about trusted application insights. Just wanna give you a little bit of background into what we've been doing there, and our approach actually to making this a viable route for modernization. But maybe just to kick things off, a little bit of humor touch of humor for you. Maybe not the best use case for AI, but we did ask it to help produce a little image for us today, that we could use. And we asked Copilot to create an image of an MLM trying to modernize a large legacy system that contains many million lines of code. True story is what the response you can see there is not only the image, but clearly Copilot is aware of some discussion in this area and some of the challenges and did ask whether we should it should also add frustrated engineers into the equation. So let's maybe dive into this a little bit more. I'll talk about some of the separates of the hype and reality about, Genitive AI. So there's no doubt that it's an immensely productive technology that we want to embrace who we can. But there are definitely challenges that we run into with Lexi systems. And I I don't imagine that there's too many people on the call that were expecting some sort of magic wand today with GenAI and it converting applications from maybe Cobalt to Java or Python or something like that. But I'm sure you've been involved in some of those conversations in your organizations, in all likelihood. But the challenges for those systems is really starts with one of training. There's very limited and, indeed, incomplete training around COBOL, assembler, p l one, those types of applications or code bases. A lot of the training really is what's available in the open source community, so it's gonna be Java and Python based things. So they just don't have the fluency when it comes to these systems, and it leads to hallucinations, inaccurate outputs. Although they can be very believable, you know, really often they they can be quite wrong. But it's really the scale coming back to the scale of the systems we're talking about today. We're not trying to convert a 100 or a thousand lines of code or 10,000 or a 100,000 lines. In many cases, your systems are millions of lines of code, and this is just beyond the realm of possibility today for Gen AI. Will it be able to convert these systems, some point in the future? Probably. It's just a question of in whose lifetime that might be. It remains to be seen. But don't just take our word for it. If you've got an analyst subscription or another key analysts out there, there's many to choose from, but I think you're probably gonna get a very similar story about the concerns of risk using AI specifically for code conversion tasks. And, invariably, you'll get a lot of guidance to say just be super careful about the output and then often you can't trust it. But what are they recommending in that case for Geni and these kind of activities? And the focus really is about empowering developers. It's about making sure productive developers can do even more for those systems, providing or augmenting their developer workflows inside of tool, IDEs, giving them chat interfaces, giving them application explanation technology, and things like that. So keep that in mind as we get further into this session. But if there are challenges around leveraging Gen AI, particularly for these kind of systems, what are we doing about it here at Rocket Software to improve the accuracy? So I just wanted to lift the lid a little bit for you here and just share with you what's going on under the covers in our technology. Clyde's gonna take you actually through a demo in just a moment. But if you think about a a developer working in a favorite tool like, you know, Visual Studio Code in this example, and maybe they're using a chat or explain functionality, how we're making sure that that is accurate. And that our approach really is to bring together the best of both of these worlds and have it based in knowledge about your application itself. We get that detail from the enterprise analyzer product. There's very mature capability. This is static analysis to understand all the relationships in your application and all the dependencies. Think of those as the facts of the matter, the facts of your application, deterministic results that we've got through static analysis. And we give those facts to GenAI and use it for what it's great at doing, which is to explain the facts of the matter, to explain what's going on in your system. And there's a variety of things that were involved in doing that and delivering that prompt. There's a highly engineered prompt that we're sending through to the l and m. Any of you who have taken a prompt engineering course are very familiar with this. What you're seeing is here is our approach to automate the creation of those prompts from curating the code to make sure there's nothing in there that's gonna confuse the AI system, but more importantly, bringing in that application wide context that we get from analyzer technology that the MLM does not have an understanding of. And that is really what's helping you produce better quality output. We're also introducing documentation where that's gonna help, with bringing in our knowledge around Rocket itself. So we thought it was great to actually perhaps show you a few screenshots here before a quick demo. So let me pass things over to Guy at this point and bring this to life. Over to you, Guy. Thank you, Scott. Yeah. Here are some of the capabilities that we added in 11. All are very exciting, we think. The natural language assistant that we introduced in 10 has been enhanced with supporting new vocabulary covering dozens of new questions about the code. It is also now available, in Visual Studio, Eclipse, Enterprise, and Cobble analyzer, and the analyzer web client, so very easily accessible. You can run reports, ask questions about relationships in the code, draw diagrams, and run enterprise analyzer commands such as impact analysis, duplication finding, and elimination, and much more. We added the ability to generate comments in the code explaining what the paragraph or section is doing. This, of course, ensures that the code is properly documented and future maintenance is much, much easier. If the developer needs assistance with understanding complex code constructs, we are here to help. Selecting the code and asking for an explanation, we provide all the needed details and information to the developer. If there are compilation errors, our Cobo expert extension will also suggest how to fix them. We also added a program or job summary report. This is an on demand, always up to date summary that allows developers to get familiar familiar quickly with the code that they are looking at. Enriched with application wide context, a short summary paragraph is generated by the AI model, which explains the purpose of the code, how it is used, and analyzes the quality. Then some statistics are added, a list of all the relationships to other source artifacts, programs, data, screens, etcetera, a relationship diagram, program logic diagram, and screen visualization. The summary is tied to the code, so hyperlinks are available to navigate to places that are mentioned in the report, a very useful starting point to any developer experienced or new to the team. And lastly, within enterprise analyzer, the business glossary or business names and descriptions can be automatically populated by an LLM. Terms like data items, paragraphs, and conditions can be automatically described. And once this glossary is populated, different views within enterprise analyzer can present a human readable text instead of the original cryptic names in the code. This is also the foundation of our next set of Gen AI insights that we're working on. But before we talk about the future, let's see a quick five minutes demo that we have prerecorded. Here's our quick demo for today. In this case, I am a developer and tasked with investigating a bug in the loan calculation screen. So I have my application loaded in my development environment, disconnected to source control to git. I can see all the different files that are part of my application. I need to find where is the loan calculation screen handling within this application. So I'll go to my repository, look at the inventory of my application, and search for loan. I immediately find a few candidates. I can navigate to the code, and I see I can see that this is probably related to loans, principal interest and term. This is B Bank 70 p. Let's check if it has any screen interaction. I will ask my natural language assistant, which auto completes the question. It will search for screen reads and writes. Now have additional searches and vocabulary that is supported within our natural language assistant, and I see that there are no results for screen reads or writes. So let's see which program calls e bank 70 p. Okay. We found s bank 70 p, which is actually the screen handling. So let's verify that it does do screen interaction. Yes. It does. And I can navigate straight to the code and see it receives maps, send maps. So this is the right program that I'm looking for. Now we added additional reports and additional questions to our natural language assistant so we can, for example, run the coding standards, report. And before I make any changes to the code, I can see the status of coding standards. They see that there are lots of violations that I might want to handle while I'm changing the code there. Okay. Now usually, when I go to a new program, what I need to do is read the code and get familiarized, but now we have the program summary. So I can click the generate program summary, and I can get a new report summarizing what this program does. We can see that it handles screens interaction for loan cost calculations. This is ex exactly what we expected. Additional information about call interactions, complexity, links to places in the code, cyclomatic complexity, and other attributes might suggest that this is a very complex program. All the different relationships, including links to different copybooks that it use, programs that it calls, data interactions, screens that are received and sent, a lot of useful information, and also in a graphical way where we can see a diagram of all the interactions in a visual way. We also have program control flow, which is the program logic, and a visualization of the screen, which we see is in fact the screen that calculates the cost of a loan. So this is exactly the program that we search for. So let's look at our code editor. All the usual stuff that were before 11 are here as well. Navigating to copy books, quickly seeing if a data item is not being used. But now, new in 11, we have some new capabilities. And the first one that I want to show you is to explain the product of So I can generate an explanation. It will explain what the paragraph is doing. It will summarize in the end exactly what the paragraph is doing. And during the explanation, there are also hyperlinks. So it's completely tied to the code. You can navigate to different places of the explanation, make the changes that are needed, really better understand what the paragraph is doing. Now as I'm a good developer, I also want to generate comment so the code would be easier to maintain. Now one last thing that I wanted to show you, we can also select code snippet and ask for an explanation. So this will explain the code statement or a number of statements. In this case, setting up the environment and calling update CNV. And if I'm changing the code and making any syntax errors, we can use the Cobble expert explanation to get help on how to fix the syntax error. In this case, it's a very simple one. It should be move, not MVE. And that's it for our demo today. Okay. So that was our demo. I hope you found it useful and just that you're all eager to try it out yourself. I'm really proud that what our r and d team was able to come up with. This is really good stuff. And we have a lot of different things that we are looking at as part of our AI road map, integrations, code explanations, business rules, mining, a lot of things and activities that we are currently working on. So stay tuned, and you'll hear more from Scott about how to get more information about our, AI and general road map in just a minute. So to just summarize or sum it up, about, we took guidance from customers, analysts, and our own engineering research and search for where we can provide the added value. We don't compete with Copilot or JGPT. We complement them. We make them enterprise ready for modernization, make them more accurate. We added Cobalt context and syntax. We blended deterministic information from enterprise analyzer and GenAI, and we offer the flexibility to our customers. So you can choose if you want to deploy on prem or use a cloud LMM. These are all supported architectures, with our solution. And all of this is designed with developer efficiency in mind. Accelerate onboarding, get accurate results, reserve knowledge, and increase productivity tailored for your organization. So this all means that you can avoid risky rewrites or conversions, modernize and run your application wherever you desire, and without compromising on AI benefits. Now let's hear from Scott about the future and how you can get an insider view into our road map and strategy. Thanks, Guy. Yeah. Let's take a look at what's coming next for you. And I think, actually, we wanna start about where in terms of what's coming next is what's coming next in terms of your upgrade process because it's a great time to highlight our product life cycle and product release cadence to you. Just get back in your thinking before we go much further here. What you're seeing here is an illustration of our road map. You'll see a a major new release that we deliver, more or less annually now. And that release comes with a certain level of engineering coverage behind it, and we are also, highlighting to you here that older releases, are now moving into an extended status. So as we get into the release of 11 version seven, just kind of some four years old, now moves into extended support. If you are using, version seven or anything earlier, I probably, with some urgency, recommend reaching out to anyone here or your AE just to make sure you've got the coverage you need. But, otherwise, if you're on a later release, now's the time to start thinking. Always think about when you're gonna upgrade to make sure you've got the right support, from us on the version that you're using. And just touching on road map, looking ahead, we just actually released, support for ARM processors in this release for our Visual Cobalt customers, first of all, and we'll be bringing that ARM support to our enterprise server customers around about this time next year is our current plans and thinking. This should give you more opportunities to modernize infrastructure, in the cloud, and you'll certainly see your cloud service providers, you know, promoting the use of ARM chipsets. It really brings down into the energy consumption for them in densely packed data centers and then passing some of the benefits onto you as a result with lower cost infrastructure options. So we're really happy to be able to bring that to our global customers and coming to you soon as well. Now let's just quickly touch on the road map, here for you. Guy mentioned this earlier on. And as part of this release, we've also been working on a much more detailed insight around our roadmap. Like all good product managers, we have a roadmap in our back pocket to offer you, but this one goes to another level entirely. In fact, in my thirty years in the company, I've never seen this amount of detail put in, and we're looking to provide you with over approximately a ten year outlook on our plans and thinking from developer tool sets and workflows through to AI we've just been discussing, and indeed the that innovation in the Cobalt language itself. And this is all really designed to help you better plan for your applications by understanding what our plans, ourselves are for them. Now this will not be made available on the website or anything like that to get access to it, which you're more than very welcome to contact any one of us or indeed contact your account executive. They will provide that to you. And also, if you've got any questions, they'll walk you through the details of this. Now next steps for you as well, thinking ahead, you know, we've touched on a certain type of application modernization today, but really the pathway to what you do with your applications, requires a lot more discussion, of course, with you. It requires understanding the business drivers and motivations and, you know, the technical drivers that you have and including all of that, your infrastructure preferences. But this is something that we wanna help you with before then helping you determine what kind of treatment could be applicable to your application and the different types of modernization options that are available. So really this slide here is just to put my hand up and say, hey, guys. If you wanna talk more about the future of your applications, please take advantage of us and the skills that our teams have. We have done hundreds of modernization projects over the last few years, and we've had a lot of lessons learned in the process. So please come talk to us about your needs. So a little bit of rush there just to make sure we got time for questions. I hand over to queue now to take you through some resources very quickly before we get to some of your q and a. Perfect. Thanks, Scott. Great information so far, Scott and Guy. I just have a few minor things for you to take note of. Please feel free to get more information, about, Enterprise Suite. We have data sheets and web pages for you to take a look at. This webinar, as I stated before, has been is being recorded, so you can go back and view that. We have some upcoming events, and if you're attending those, please, feel free to come by and see us at the Gartner IT IT Symposium, both in Asia Pacific and in The Americas. And, of course, AWS re:Invent will be there in December. And finally, you will get access to these slides. So, these links will be usable for you. But, there is a what's new in 11.0 to review everything we've talked about today and then to get a little bit more information there. One other thing to take note of, we do have a renewed forum, our enterprise suite forum. I hope you've been there. If you haven't, please go. We'll give you links to that as well. But there's gonna be a new look and feel. There's content that you can consume. You'll see that there's a lot of updates we put there. There's there's questions that you can ask. Please, please get engaged with, that form. It will be, invaluable to you. Finally, just to sum up, these five key takeaways from today. And remember this when it comes to enterprisesuite11.o. These trusted application insights, we talked about GenAI and static code analysis, to get those insights into your core applications and close that skills gap and boost that productivity. Remember that. That enterprise grade performance scale as Scott talked about, it's it's it's at scale. We're we're we're transforming millions of lines of code and we can really help you on that, modernization journey. And with that new performance and availability cluster, you know, we can really help with the most demanding workloads. Finally, Erin, then additionally, you have modernization without disruption. We've talked about that, that what we can offer here at Rocket Software. We have solutions for any type of modernization, on or off the mainframe, cloud and hybrid. So remember that, what we can do there. And then as Scott mentioned too, that clear roadmap ongoing dialogue, if you're interested in that, please, reach out and we'll get that to you. And be sure to, plan your upgrade. Get on the latest version, be able to see what's there and and leverage that latest innovation. Okay. So that's it for me. We do have some time for q and a. Let's let's turn that back over to Scott and Guy. Thanks, Q. I'm sorry to rush get you to rush through that one. As always, things took a little bit longer to get through, but here we are at time. We still got a few minutes to go to take through some questions. And, clearly, it there's quite there's several questions there. Clearly, the big topic of conversation today, Guy, is around open telemetry. There's quite a few questions around that. Maybe what I could do is just ask you to talk more generally about our approach to open telemetry in this release. And in doing so, you can perhaps talk to the future roadmap. There's questions about things like, availability on Windows. That's come up a couple of times and integration with things like Datadog and all these kind of things. So perhaps you could just give us a a view, a long term view on the OpenTEL. Yep. So, yeah, we we have been working on supporting OpenTelemetry, meeting information, using the OpenTelemetry standouts, from I think we started in previous release. It is currently only supported on Linux, but it is in our roadmap to add support, in Windows as well. We started with adding logging capabilities. We added in 11 tracing capabilities, and we're going to add metrics on the next release. So that will kind of complement, the free components that are, the the standard parts of open telemetry. Datadog specific, I don't have, experience with, but if it is I know that it's one of the market leading tools. If it is consuming OpenTelemetry, data, then, it will work with enterprise server using the same, the same standard. So we are what we what we are doing is expanding the platforms to Windows, adding more and more granularity in the way that we trace, improve, performance. You know, every every tracing and logging has some performance hit. We're working very hard on minimizing it to the, minimum possible, and adding more information from different components so you get enterprise server fully observable. Perfect. Thanks, Guy. Yeah. I guess if this talks very much to, our approach as well around when it comes to, you know, all the different infrastructure that we support in our technology, and we've certainly taken the approach to kind of standardize on these open standards. So you get consistency irrespective of which platform you might choose today or in the future. You can and OpenTelemetry is one of those. And assume, in most cases, that you'll be able to import that into whatever monitoring system, is your preference there as Skye was alluding to. So loads on OpenTelemetry. I think, Skye, you covered loads of covered most of the questions there. Let's jump across to analyzers, a couple of questions about analyzer in relation to assembler Yeah. Rex and other programming languages, and then what level of coverage have we got for the explanations that we've been talking around around GenAI. So maybe there's a piece of EA, what it can do, and then what we got available for GenAI. Let's split it that way. Yeah. So enterprise analyzer does support many different languages that are used in, different legacy platforms. It does support assembler, Cobalt, p l one, Natural, some support for racks, and about 15 other, different languages. The code explanation that we added in 11 is initially just for COBOL, but we are going to expand it, over the the next, batch updates and releases. Specifically for assembler, we we don't have support for expanding assembler in enterprise analyzer. But if this is something that you would find helpful, please do contact us, and we can discuss, what enterprise analyzer how enterprise analyzer can help you still, with the latest innovation that we added, with GenAI around business names and business rules. We might be able to assist you with with Assembler as well. Perfect. Thanks, Guy. There was actually just sticking with analyzer for a second and maybe also there's a question about access to trials, both what we've been talking about here today, but also analyzer in general and, particularly with partners. If you are a technology partner who is looking to get closer to our technology and use it as part of your modernization practice, please do get in touch with anyone you've heard from on today's webinar, and we'll connect you with our partner team who will go through the onboarding process with you, which will include access to all the technologies we've been discussing today. So it's really just a matter of, getting in touch. If you're an existing customer, someone is here who's asked about, you know, a trial of the products so they can just test, ensure consistency, absolutely. Please just reach out to your normal account executive. You would usually be talking to anything there anyway. They can provide you with access to a trial, for that purpose. If you don't know who your account executive is, no problem. Just get in touch with you, Guy, or myself, and, we'll get you set up and in contact with who can help. And while you try that, we would we would love to hear your feedback and see how useful it is for you and if there are any, you know, enhancements that you need or any issues that you find, we very much like to work with customers on this initial adoption so we can make you know, create the best solution that we can for you. Yeah. Thank you, Guy. And, I just one one of the team here has got a link to the documentation because there's a lot of questions about analyzer and its coverage. So I think one of the quick ways to help you get, an understanding of that is we placed a link to the docs. It's got all of the page which lists all the technologies that are covered by that. So I'll paste that into one of the the, other questions here so you can all see that, in just a moment. But let me perhaps start to close out on the questions here because we are running out of time. What's the question about the road map access to the road map? I'm glad someone put you interested in finding out more about what's in our plans. Please just use the emails that you see here. Either myself or Guy, connect to us or your account executive if you happen to be talking to them and ask for that road map or us, and we'll get that sent to you. I think that was from Mark there who's asking about that. And, let's just take a a last look. There's more questions coming in. I apologize. We'll not be able to get to all of them in this session because the session will come to an abrupt end when we hit the time, but we will get back to everyone today with any questions that you had, if we can get to you in this session. You'll also get access to the slides. You're gonna get access to the video. There's other links in there that go into more detail than Brian and I have been able to do in the hour session with you today. So plenty of that. So please do look out back for that in your inbox. And then for any other questions, you know, just don't hesitate, to reach out to myself, Guy, or Q, or any other member of the product management or marketing team. We'd be happy to help where we can or connect you with people who can help you. And while we're there, maybe the last question that we'll take before we wrap things up. I can see this question there about the learning courses in the portal. Are they updated with the new version of the tools that we're seeing here today? And I think, Guy, I don't know if you've got, the most up to date view on that, but what I can say certainly is that that the enablement team, which have produced an enormous variety of courses out there, they do look to keep them up to date with the latest features. So you can expect even though they're not maybe not there today on day one, you can expect us, the training features to include some of the things we've been covering today, particularly around Gen I and Gen AI, in code explained. Anything more to add on that one, Guy, you want to add there? No. I think what you said is is completely right. It won't include all the latest from the latest, release that we just that is just GA now, right now, but we have a dedicated team that will work on updating the courses and, updating it to the latest innovation that we have. Alright. And, Greg, thank you, Guy. And with that, I think, everyone is joining today. I think it's time to wrap this up. Please do look out for an email from us. In the future, we'll give you access to all the resources. But once again, really appreciate you joining us today. Makes it all worthwhile. So thanks again, and look forward to talking to you soon. Thanks. Bye for now. Thank you very much. Thanks,