Unlocking the Future of Asset Performance Management: Insights from Verdantix and Industry Leaders

Unlocking the Future of Asset Performance Management: Insights from Verdantix and Industry Leaders

GE Vernova was joined by Stork, SOCAR Turkiye, and independent analyst Verdantix to break down the latest Verdantix Green Quadrant report on Asset Performance Management (APM) Solutions.

Watch the discussion and learn:

- Emerging market trends in APM software outlined in the report
- How Verdantix evaluated solution providers on capabilities and market momentum
- Why GE Vernova’s APM was named a leader
- How GE Vernova’s APM provides composable, interoperable, and differentiated solutions that are enterprise-ready
- The value of GE Vernova’s partner Stork’s high score for implementation
- How SOCAR Turkiye collaborated with GE Vernova and Stork to deploy enterprise-grade APM solutions



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TRANSCRIPT
Hello, everybody. Thank you for joining us today. It's going to be a really exciting webinar. So no matter where you are in the world, we really appreciate it. I think as of right now, over 500 people registered to attend. So thank you. We know you're all busy. I know a lot of people on this call are busy. So we're going to be as concise as possible and go through some really good content.  
 
Today we're going to be 45- around unlocking the future of asset performance management. And you're going to hear from us at GE Vernova. SOCAR Türkiye is on the phone as well. Stork/Bilfinger. Recently acquired Stork by Bilfinger consultancy firm. And then Verdandtix, which is a leading APM analysts.  
 
What we're going to cover and just to give you some overview, the chat is open for question and answers. You have a lot of experts on the call. They're going to introduce themselves here in a second. If a topic is of interest, please use the chat. If we can't answer in real time and we'll follow up after the webinar. And any of the questions that seem to be trending, we will answer live, whether it's during the session or near the end during Q&A. So the quick agenda, I'm going to do introduction.  
 
We're going to talk about Verdantix, who they are, what they do. But then go really deep into our GE Vernova APM. And how we scored in the latest for Verdantix Green Quadrant. And then on the back end, which is a really exciting topic, we'll have Bilfinger and Stork talking about their ranking as an implementation provider. And then we have Tamer who will introduce himself from SOCAR Türkiye, who is going to talk about how we've all work together to really do APM the right way in our eyes and, and share some of the wins and vision that they have. So without further ado, quickly for me, I will be moderating this session.  
 
My name is Ryan Finger. I am the Director of Product marketing, overseeing APM. Really fortunate to work with this group, and share our vision and our story with the market. So I'll hand it over to Malavika to introduce herself, and then we'll get into it. Thanks, Ryan. Hello, everyone.  
 
My name is Malavika Tohani, and I'm the research director at Verdantix in the Operational Excellence team. Verdantix is an independent tech research and consulting company. I've been with Verdantix now for over seven years. And before that, I used to work in another research and consulting company as a research director at that energy and environment team. Really looking forward to the session today. I’ll hand over to Tamer.  
 
Yeah. Hello, everybody. Hello. My name is Tamer Eldemir. Reliability Manager at SOCAR Türkiye Refiner at petrochemicals business unit, approximately And, Johan, continue, please. Yes. Thank you. Tamer. So my name is Johan Ferket, consulting senior leader within previously Stork asset management technology. But now Bilfinger. We have been acquired by Bilfinger since April 1st. I will give more details about what Bilfinger exactly doing working already in the APM space phase for about 20 years and collaborating intensively with previously Meridium, and now GE Vernova on the APM space, space since 2009. And with that, I hand it over to Vipin.  
 
Thanks, Johan. I’m Vipin Nair, I am director of Product management, for GE Vernova. Especially focusing on asset performance management. Being with GE for last 12 years, but overall 18 years in the space. I come from an industry background, expertise. You know, aligns to reliability, mechanical integrity. And I'm fortunate enough to work with customers, like, Tamer, Johan and analyst like, Malavika here to get the insights both from the field, the analyst partners, and then align it to our roadmap, right. To ensure we are heading in the right direction. So thank you, Perfect! So without further ado, we are going to hand it over to Malavika, to kick us off. Yeah. So Malvika.  
 
Thanks, Ryan. All right. Let's jump straight into our green quadrant methodology. So this is the Verdantix's flagship methodology where we basically benchmark leading vendors in a particular space. And in this instance we looked at APM software vendors. We covered nearly 16 vendors as part of this green Quadrant process. Just to give you a bit of an introduction of what it entailed. So our green quadrant is a mix between our existing research, existing and ongoing research and conversations that we have with industrial customers across the board. Along with, obviously, our Verdantix vantage platform, which is free, for practitioners, if you're in a maintenance role or an engineer or a plant manager, you can get free access to Verdantix research and analysis via the Verdantix Vantage platform. We also undertook some very specific green quadrant related research.  
 
So we sent and 137 point questionnaire to all the vendors who are participating in the Green Quadrant. We also held two hour demos across five scenarios. So we provided these five scenarios to all the vendors in order to make sure that we were evaluating them on the same page. And then we also spoke to the customers of these vendors who were involved in the Green Quadrant analysis. We asked them to send us two customer contacts with whom we spoke to. All this, so taking all this together, the questionnaire and the demos, all the vendors are rated on a scale of 0 to 3, which is zero is having no functionality. And of course, getting a three is best in class functionality. Before I show you the results of the Green Quadrant, I just wanted to talk about the APM software landscape as a whole.  
 
Traditionally, APM software has been very maintenance focused in the sense that, it was all about understanding the integrity condition of the asset, predicting the failures. While those capabilities are still very important APM software and the different capabilities and areas it's covered it covers has evolved over the years. I still remember the first APM Green Quadrant. We did, and it was back in, 2020. And even in just four years, we've seen the market for APM really evolve. So we obviously look at things such as, you know, asset health, predictive failure, asset integrity, reliability management. And so on.  
 
We've also added extra capabilities that a lot of vendors are now offering around lifecycle analysis, investment planning, performance optimization and environmental aspects. Looking at things like energy management, leaks and seats management, carbon management and so on. And so you can see here in this slide how, you know, what are some of the key features for each of those areas. Who does it really target. So it's not only just speaking to maintenance people, but it's also talking to reliability engineers. It's talking to sustainability officers. It's talking to the CEOs. This slide really encapsulates, the capabilities that APM providers such as GE Vernova are investing in. And this slides all about how they're investing in capabilities that can improve the accessibility, flexibility and scalability of APM solutions for customers like yourselves who are attending this webinar today. So first capability that I want to talk about a little bit more in detail is around, data management. We all know that for high quality analytics requires high quality data. And in industrial facilities specifically, you have a variety of data that needs to be collected, cleansed and contextualized.  
 
And this is exactly why APM vendors are investing in very strong foundational data management or data ops capabilities, as we see within our technical functionality. So we evaluated eight technical functionalities or eight technical capabilities as part of the green quadrant. And some of the things that carried a very high weightage was around platform interoperability and integrations, user interface, platform configurability, data management, business intelligence and so on. Functional capabilities are course, are around the use cases that I showed you just, a little while ago. The next point is around a generative AI and how APM software is being augmented by generative AI. I would say genAI has transformed the way content is created, accessed and understood.  
 
I think since the launch of, ChatGPT back in November 2022, and APM software providers, to be honest, not just APM software providers, but software providers everywhere are incorporating some sort of genAI capabilities. And in the context of APM, really to improve the adoption as well as to deliver prescriptive insights. So what are some of the capabilities that APM software providers are investing in? First of all, they're building Copilots to provide maybe deeper context or maybe even insights on specific machines. GenAI for some of the vendors. They're also using it to extract, you know, relevant insights from multiple data sets to maybe answer some complex questions. We are seeing other use cases as well. So but these two are, I would say, the most prevalent at the moment. The next one is around, out of the box failure modes, which are very industry specific. And these are extremely required because when you have a rich library of out of the box failure modes, and they're also very industry specific, it helps with very robust, predictive and more importantly, prescriptive analytics. For example, GE Vernova, they have over in its digital twin catalog.  
 
The library also contains over And they're working, to put more prescriptive analytics out of the box as well as part of their roadmap. The next two points, which is around developing quick to build reliability models and offering self-service analytics. Goes to talk about the the quick ROI, the quick scalability of APM software. You know, it's been a bit notorious APM software, everybody thinks, an implementation of APM software requires a lot of resources. It's time consuming. And the vendors are trying to change this for their customers by doing a lot of, the things that are mentioned over here. So talking about, out of the box reliability models, as well as low code, no code sort of analytics, we all know that RCM is integral to achieving, increased asset uptime, along with, you know, net zero KPIs as well as regulatory compliance. So what APM software providers like GE are doing is allowing users to configure their own models for reliability analysis. In a step by step way using Low-code no code approach. Users can also create their own analytics in certain cases if, you know, if the platform allows for it in a very low code, sort of an environment.  
 
To give you a bit of an idea, so GE Vernova offers, its customers, where these customers can develop their own AI, ML models, with preferred tooling, it can be like Amazon SageMaker, Microsoft Azure or Vertex, and deploy these models in GE’s APM analytic solution. So then it goes from maybe being deployed on a couple of assets to really scaling across multiple assets. And it also supports Python, Java and Matlab, language support. I'll give a pause there and see, if anybody has any comments. Are you seeing the same trends? Maybe I could comment or well yeah. Yeah. So I'll hop on. And I love these slides. I know we've a lot of APM experts on the call. So I think tying all these together as someone who's not from, let's say, a pure O & M, power generation as it in terms of industry, more of a software lens.  
 
These trends have been in place not only in energy but other industries. And so when I look at kind of what's emerging in energy compared to where other industries have been in the past, they're very similar trends. And one of the big things on top of all of this is how do you wrap your arms around these trends and how you decide where to start? Right. So each organization, as you showed in the last slide, is a very different maturity and aptitude for some of these emerging things. So it's really important. And what jumps out to me is as you look across vendors for APM is how is that vendor also helping to support current state. So quick wins and also long term growth.  
 
So I look at the expansion into renewables and sustainability. You can't do that without data connectivity without analytics right. And without a vision on how things connect. So that's data lakes. That's different cloud that's on prem. So tying this all together is really to me the underlying piece is what's that digital infrastructure that allows for that versus trying to maybe bandaid a solution together just to do pure predictive or just to do pure generative. It's really about the trend of how do you wrap your arms across your AEM, APM and other systems to actually do this scalable. So to me, yes, we're seeing all these trends, but also what we see is it's very difficult, decide where to start and how to actually go about deploying some of these newer strategies. I agree, Ryan, and in fact, we recently did a services survey, and it really came out in that survey that customers are really investing to work with service providers, even to start with just developing the vision and strategy for their maintenance, digitization. Right. So, yes, everybody's I think, on a different kind of maturity level, and it needs to match their strategies, there. Johan?  
 
Did you have anything to add to it. Yeah, yeah. I think that's also what we see these challenges when many of our customers and as we are not a software development company, it is good to have, let's say a partner and also to have, let's say independent, consultancy, companies that, let's say, pinpoint out these challenges in the market. But also our job is to connect. And that's what we are constantly doing with GE Vernova to see what our trends do we see in the markets and how software can support the challenges our customers face in reality. And so it's about content. And so we work together with with GE, out-of-the-box content like a accelerator library. But also we are talking to them about the additional challenges our customers face on top of efficiency improvement they have to make. They are all all challenges with the fact that sustainability and the net zero target is close. In 2030, 2050, everybody wants to be close to net zero. And this is where, let's say, software can support in this in a smooth manner, the challenges that customers face. And with the APM, we indirectly, support the sustainability agenda and directly through the implementation of other software capabilities, I think is shown later in this presentation. So it's great to see that industry challenges and software capabilities are becoming more and more closer closely together.  
 
And that's the great thing about, the trends we see. Thank you. Great. Thank you. All right. With that, let's move on and see the actual quadrant here. So this is the green quadrant for APM solutions that we published earlier this year in July 2024. As you can see GE Vernova is in the leaders quadrant. GE achieved perfect scores of three out of three for both asset health as well as for integrity management capabilities. And one of the key things that I do want to highlight is, you know, it. GE Vernova offers an extensive library of qualitative and quantitative damage mechanisms that are compliant with API 581. But also GE has an autonomous inspection application that integrates with its APM solution and leverages, AI and machine learning algorithms to capture images, and support automated gauge reading, corrosion management, and thermal profiling.  
 
I know there's going to be quite a few examples, but what really stood out for us at Verdantix about GE’s integrity management capabilities was, formerly known as Oman Oil Company. OQ achieved approximately 59 million in savings, dollars in savings by leveraging GE Vernova’s APM integrity solution. GE also scored the highest. It was the top scorer in the green quadrant for its reliability analysis capabilities. Again, users can quickly build failure modes and run simulations to assess the risks and associated mitigating actions. It also supports, criticality analysis, via a configurable risk matrix. And the criticality analysis module is integrated with failure mode. FMECA, RCM, an asset strategy management module, or a for GE. The next one is around environmental performance capabilities.  
 
So again here GE scored the highest in the green quadrant for its environmental performance capabilities. It achieved 2.6 out of three. And the main reason for this was GE offers something called APM accelerators, which is, pre-built industry models for renewables like wind and solar, as well as for traditional utility assets, so that firms can quickly set up asset reliability and, performance programs. And firms like Tampa Electric use GE Vernova's APM solar accelerator for solar asset monitoring, performance benchmarking and identifying degradation sources for improved firm efficiency. So those are the three things I really wanted to highlight about, GE and why it did so well in the in our green quadrant. Just another one to add is GE was in the top three in the green quadrant for its technical capabilities, and it was the highest score in the green quadrant for its functional capabilities.  
 
With that, let me handle over to... Am I handing over to Johan for this? And it'll be me? Malavika. Thank you. Really, really, really good overview. A lot going on and I want to just take a few minutes here just to get us all centralized on GE Vernova's APM and I'm going to emphasize that GE Vernova so so similar to Bilfinger and Stork as of April this year. Our software business is part of GE Vernova. So you'll see the green, you'll see some new branding. So if you see Vernova out there, that that's still us. Don't worry. But Malavika pointed out a few really interesting things, especially when it comes to scoring. What are you going to hear from Vipin after this is we want to focus on where we scored the highest and highlight the fact that APM, as you heard from Johan and you will hear from Tamer, is more than just predictive analytics. It is far, far more than that. So I wanted to share our vision and of scope and, you know, go deeper. When we say APM, what does it mean to GE Vernova. Starting at the bottom, it starts the scalable and modernized infrastructure or that's cloud or on premises. Right. We are releasing our APM, the 5.2 shortly.  
 
I mean, we've really been focused on composability, scale, security and speed, right? So on top of what we're creating, are these applications that are built for industry or for any industry, right. So digitizing asset strategies, doing condition monitoring, predictive analytics, right. Leveraging SmartSignal analytics and reliability. We can do thermal monitoring. And then we have integrity and safety. That leans, as you heard about with OQ, very heavily into the oil and gas space and integrity and safety. So when you look at our vision, it's still sustaining and growing those applications that you know and love, right. The legacy already on the legacy smart signals now and interoperable part of our APM that's not going to change. But what you'll see is things like APM, asset optimization, accelerators, that was called out to really help us speed up deployment and return on investment. And you'll see in the middle of the screen two really, really cool technologies, autonomous inspection, which we won't talk about a lot here, is an AI powered, computer vision product for remote monitoring, your gauges, thermal profiling.  
 
That's a newer addition, to our portfolio and then CERius, which we'll talk about a little bit later on. This is really our carbon emissions reduction software focused on the collection, cleansing and actioning of your scope one, two and three emissions, right. So whether you're a manufacturer or oil and gas power gem, if you have a goal for net zero, you're trying to grapple with, how can I get the best control of this data and use it? We're now currently working with with customers like Xcel Energy and Azito, to deploy it. So this is our view. I'll kick it to Vipin to go deeper. He is our technical APM leader. But when we say APM, this is APM for GE Vernova. Thanks Ryan. So again thank you team for joining I'll be cover covering this slide which is the product provision right.  
 
So we have scored really the top score in the Verdantix green quadrant. But what are we doing to make sure that we are still working and ensuring that we are catering to the requirements across, multiple customer basis? So one thing if you remember from the earlier slide, which Malavika pointed out is developing out-of-the-box content, and that's the first theme. So expanded use cases. When we talk about that, we are primarily looking at content creation for new asset types and new verticals. So we have very strong, let's say, power generation, and oil and gas, especially downstream. We are expanding these use cases to say, mining. So recently we have collaborated with a partner called Assetivity to create content especially for mining, mobile trucks, crushers, conveyor belts, etc. in the same time, we are also evaluating content for upstream and midstream asset types like structures, pipelines, right. And then also within the power generation, we are looking how we can expand into renewables. So we are constantly working on building new blueprints or the models for wind turbine accelerator content for wind turbines also.  
 
So that will continue to be one of the focus areas in the coming years. Also, where we continue to expand content, predictive analytics and risk models for new asset types in various industry verticals, then moving into, AI, ML, and genAI, I, I know it's one of the most favorite topics for a lot of customers. And we get I get questions every day. And what are we doing in this space? So one thing which I do want to remind you is that we already have elements of AI and ML in our solutions, right? So one solution that Ryan just mentioned is autonomous inspection, which uses computer vision as an AI technology to detect failure modes in an image or convert a physical image into a, analog data set to a digital data set into a time series. So that's an existing capability that we have. But what I also want to kind of talk to this, you know, users here, the the the audience here is we are currently working on an incubation mode for generative AI.  
 
And as Malavika mentioned, we see a lot of potential for improving the productivity of users, any personas. So few of the use cases that we have actively working is prescriptive recommendations in our predictive analytics solution, which is, smart signal solution, but also a copilot similar capability in APM workflows like inspection, strategy development or health where you can get an asset perspective based on all the historical data that is seen over the years. So right now we are running the proof of concept with AWS, who is our technology partner, and we are evaluating the bedrock capability and validating the right language model. Right.  
 
We are comparing with, say, the Claude ChatGPT llama and looking at which is the most accurate model for text summarization. So one thing which we do not want is to kind of invest in the wrong technology, which cannot be scaled with time. So I just want to let you know we are actively working on that space. And then if you move to, modern, connected and scalable, that itself is also another technology side of the constrained right of friction that we see where customers wants to move to a cloud solution which is scalable, which is enterprise level, and which is also, you know, adhering to the latest cybersecurity requirements. So it's I see, a lot of questions. What is our differentiators?  
 
I would say that cloud strength is one of our differentiators compared to point solution. We actively work, on our cybersecurity. We actively invest on connectivity, be it the OT and the IT side of the fence. We are currently working on cloud to cloud integration. So we for example, if you want to connect to data lakes, well, we will and you know, we are evaluating those kind of integrations as we scale up customers into a cloud environment. And then finally, if I can, come to condition monitoring, you know, predictive analytics is great for, you know, say, critical assets, but we also have to have, a strategy for B and C critical asset. Right. And that's why condition monitoring is a critical strategy that we would like to, evaluate and invest on. So one of the example is that we are going to have a baseline integration with AMS Analytics. Currently it's a custom solution, but we are working it to make it more baseline and provide it as a baseline solution. Similarly, we are evaluating models which can be simpler, easy to use, and easy to deploy models, for B and C critical asset.  
 
I, you know, go through these slides very quick, you know, and what one thing which I do want to again, everybody to realize is GE Vernova’s solution is one solution where you get solution, you know, application which supports your predictive analytics program, condition monitoring program, connected worker program, mechanical integrity program, or an asset safety program. Right. And if you kind of go ahead and look into market, a lot of these point solution supports fewer elements of it. And we never get the holistic view of how the entire asset base is doing. So starting with mechanical integrity, as Malavika mentioned, we scored, three out of three. It's just me, you know, just, validates that we have, a leading platform for providing an obvious solution which helps you develop your risk models and risk calculations. We support variations of it, and we are also aligning to the industry standards, but we also have, very strong inspection data based management system, which helps you support visual inspection and corrosion monitoring program.  
 
Along with that, our strong asset health suite of solutions support, key workflow called Integrity operating window, which is very close to a condition monitoring program. We, we call it as a dynamic risk visualization. Right. What, for non time based damage mechanism, Along with those critical components of integrity, we also want to be, you know, catching up with technology. That's why we are ensuring we support visualization, which is, contextual visualization V 2D or 3D or support, a mobile solution. So we recently launched a mobile solution similar to rounds, which is called Integrity Mobile. I also want to call out that we scored a three out of three in MI, but we also scored a 2.4 out of three for the process. Safety and risk management. A lot of our users might not be aware of our APM safety solution, which has gotten out of the box.  
 
Hazard analysis, platform, a management of change and also a very strong module to manage your safety instrumented system, program. So, you know, so that's, one of our strongest suite, but that will move into the next slide, which talks about asset health. And when we talk about asset health, we are primarily talking about two key workflows. One is the connected worker, which enables the operators, maintenance engineers to collect the data in the field as per your preventive maintenance work. But also this supports a holistic view of your, asset health index. Right. So it can kind of correlate the data coming from various inputs, be it inspection, be it rounds or predictive analytics and then kind of summarize that as an asset health index, which can be used for planning your work in your EAM system. So we continue to invest on our mobile application and also on connectivity.  
 
So I've talked about in the first slide and this is going to be again one of our primary focus area. So this kind of ties back to condition monitoring programs too. Yeah. And Vipin just to just to add I think on the health part, it's really important to call out maybe some of the misconceptions that we hear, in terms of our connectivity. Right. And it goes back to the trend. So with. EAM, pushing and pulling work recommendations. Right. Historian data, any historian, it's really integral for APM health to build these indicators. So we think about a scalable software really we where we differentiate is we are able to connect to these systems and really break down those silos. So not only can they do condition monitoring. To your point with let's use integrity as example for oil and gas. They can you can do asset health in any industry. Right. Oil and gas is an add that alongside health. And you really get this powerful workflow that really isn't provided from some other some other vendors. Right?  
 
So when you stack things together on top of that scalable infrastructure and that connectivity, this is the core crux to those few questions I saw in the chat about differentiate. It's a it's an end to end APM program. And Johan is going to talk about the methodology behind APM and Tamer as well. So I want to take a pause there. It's really important to tie the two together, especially when you think about, leaning away from point solutions and more towards an interoperable suite. Yeah. Thanks. Thanks, Ryan. And I'll kind of finish it up, with the last element that we support, right? We talked about asset integrity, process safety, condition monitoring, connected worker. The last work process that I do want to call out is, defect elimination and the bad actor, which is, reliability standard solution that, we are talking about along with our predictive analytics solution. So we still have industry leading solutions to support RCM FMEA. Yeah. Out of the box asset strategy template. Working with partners like Stork. So we continue to invest on that.  
 
We are looking right now. We do have a module which kind of aims at spot optimization, but one element that we are actively working is how can we connect better with the materials management and to a spare part, management holistically across the board. It ties back to the asset investment planning. Again, root cause analysis, one of very critical elements of or the backbone of bad actor identification is RCA. So we continue to invest on it based on how, we can provide better templates, how we can, simplify the UI, how you can apply it to multiple templates, how we can learn from previous history, etc.. So RCA will continue to be a focal area for innovation and investment. And then finally asset strategy optimization. That's where everything comes into, you know, place where we compare all the data from your character analysis, CRM data and then further help you with asset strategy optimization. I've got limited time. So with that I would like to hand it over to Ryan, but if there are any questions feel free to reach out to me.  
 
Thank you. So yeah we want to we want to save at the time for the good stuff with Johan and Tamer. And to Vipin's point, we focus on reliability analysis. We want to be clear. GE Vernova. We still have a leading predictive analytics moving to prescriptive solution. Right. That brand that was known as SmartSignal. Now being a part of our overall APM very, very critical of this workflow. But the Monte Carlo simulations of spare parts analysis alongside of that is is very important. In terms of really getting a full view of your assets. So I do want to be clear, if you read the report, we are fairly well ranked in the predictive space. Due to our connectivity in the models that we're building. And I'll spend just a few on this. It's a hot topic. And as I shared in the first slide, this is something that GE Vernova is actively investing in. To make sure that our customers not only have the APM required today, but also the tools they need for the future. With a lot is a lot of organizations having actual net zero targets for this some of these targets are being now pushed to plants and sites to help better manage emissions. Right. So there's a few things that we provide the score here. What was a 2.6? And there's a, there's 4 or 5 things that we provide that can really help your organization scale and potentially reduce those emissions if you use the right way.  
 
The first one, someone to ask the question as well. CERius. It's our carbon emissions reduction software. We currently have customers working with CERius. There's some great resources available online about how it works is an interactive demo. It's really about collecting, really auditing, cleaning and then actioning emissions data. So your scope one, two and three are really helping chief sustainability officers or really the executive suite get a grasp on what exactly their assets are producing and how to best strategize to reduce those emissions. Then we have things like, performance predictions, a very, again, AI ML leaning, solution here. Really to help manage and optimize next generation fleets. If you're a power generator expanding or looking for more coverage, that's another option. And then we have three near the bottom. So autonomous tuning in boiler ops that will kind of group you can read in the report into one autonomous tuning if you're actually using a gas turbine. This is a a machine learning built solution that actually helps you automate, the temperatures and fuel splits on your assets. And then solar accelerators that you heard about. So when we say solar accelerators, this is to help support our customers who are being tasked with new energy sources.  
 
So if you're a power generator, oil and gas, if you're a large company that even runs its own renewable energy system, solar is one example. And we also have examples of our coverage across wind, hydro and other elements. So we scored very high here. It's a great supplement to our current APM solution. And and we're we're looking to hear from customers in the market on how we can best do that going forward. And I'm going to kick it over to to Johan, to take it from here in the last 20 minutes. Yeah. Thank you Ryan. And, thank you for for having us and on this webinar today. So first of all, my first, slide is then we went through the same process as GE Vernova, went around the APM software, I think last year with a colleague from Malavika, we went to the process to regarding, Stork, at that time and our Billfinger to go through the process to look at what is our industry asset management services capabilities and implementation capabilities. And, we went through the same process and we were nominated as a leader in the green content quadrant from Verdantix, which is quite an achievement. And, if you see as the results from the report, we have, also the highest scores in the domain where GE APM has the highest scores, meaning assets held mechanical integrity, reliability, reliability, analytics, condition monitoring. And these capabilities, as many of our customers are requesting to have APM implemented to drive their asset improvement. So we see similarities between the report from GE Vernova and that one from that from from from us, as a, as an implementation of a leader in asset management.  
 
So a little bit about Bilfinger but not too much. You will get a copy of, of this presentation. Is that yeah. Bilfinger acquired Stork in let's say April this year we are focusing on providing solution throughout the complete asset lifecycle where most of our revenue comes out of engineering and maintenance and less in technologies where we also like GE focusing on energy transition, but more in line with APM and with emission management. Our primary focus and solutions and services we are providing to customers right now are in efficiency and sustainability. This is the strategy that has been developed by the Bilfinger management, and this based on what our customers are telling us. So we do that in different industries. But for all these industries, our primary focus is on efficiency and sustainability. And our role within working together with GE, Vernova is, on the APM or the APM software adoption. And to improve the acceleration of the APM software adoption. Where in many cases GE Vernova does, let's say the technical implementation, make sure that the integration between the EAM, APM, software is very smooth and that you can get the data from the different data sources to drive that improvement. Our role is to make sure that through the adoption, to implementing the work processes, giving training and coaching and change management, we make sure that there is a continuous improvement not only about the work processes, but also about the inspection and maintenance plans.  
 
So we usually start by analyzing risk. In a, in a greenfield situation, we often do RAM's studies, but also in existing we look at criticality analysis based on the risk matrix that is in the software. We drive. We use different techniques to develop. What are the the strategies, the strategies for inspections and maintenance. So translate it in planned preventive and predictive maintenance strategies. And obviously we want to be as lean as possible in developing these inspection and maintenance plans. When this inspection and maintenance plans are generated through the EAM software, obviously we need to make sure that we monitor this. We monitor the equipment, we see that this equipment behaves within the set thresholds. We do predictive analytics, and we make sure that by analytics and actions we revise we change the strategies. So to to make sure that we all as much as possible mitigate all the failures that have happened in the, in the plant.  
 
So our role is, in short, to make sure that this continuous improvement cycle, as you see on the screen, is ensured by implementing work processes, by change management, but also to make sure that the APM software solution smoothly supports these work processes. And with that, I would like to hand it over to Ryan and Tamer to explain, let's say the collaboration we had together with SOCAR Türkiye, the APM project. Over to you two, Ryan and Tamer. Yeah. Thank you. Thank you, Johan and Vipin. And I just want to take a quick, just to recognize. SOCAR, one for joining us and two for what you're about to walk through. You've all been a great partner. Awesome feedback. So thank you for joining. For the people on the call, the chat is still open for questions.  
 
We should have a good ten minutes to five, ten minutes at the end to answer questions live. So if you have questions, please put in the chat. And again I'll hand it over to Tamer, to share what SOCAR is working on. And I will go from there. Thanks, Tamer. Yeah. Hello. I want to give information about the SOCAR Türkiye having taken the massive step in Türkiye. This is the country's strategic partnership. SOCAR, The petrochemical site in 2008 after the implement to increase the investment. The investment includes, some big project refinery approximately, approximately and container terminal and storage power plants. The SOCAR Türkiye is very activity in many sectors, provided they and finally fix the refinery, petrochemical and natural gas, trading transmission tap to distribution, SOCAR Türkiye SOCAR Türkiye brotherhood countries, Azerbaijan and Turkey. So the SOCAR Türkiye in temporal. You can the project plan. You can see this one is the we divided the project, three phases divided. First phase is the the implement and prepare phase. The other phase is improve, and the final phase is the maintenance excellence phase. Four. We define it to, smart, smart performance indicators, stage monitoring every phase.  
 
We also have the indicators such as, the project after the complete the you can find the indicator is on the slide of this site. So, the project is the tool Stork. Stork is very, very big company and very, very experienced company. So, the project we supported to the Stork company consultant. Then after that, GAP analyst they improved idea. Firstly, firstly the APM, we need the APM software. So, if you have ask, GE Vernova is the best solution for us. So we started the project in 2018. The project. The asset management project with GE Vernova and Stork this is a very, very successful project. Step by step, every step is a very successful move in the project. At SOCAR Türkiye, we decided a strategic decision, the decision of petrochemical and refineries, to integrate it. normally, we started the integrated system. So we completed the project refinery on petrochemicals, and the petrochemical site to combine the projects into only one project.  
 
The two components organizations were under the SOCAR Türkiye organization change. All the others change. We after the ISO great maintenance excellence since we took to the future with the aim of achieving the maintenance excellence by not only executing, but also by monitoring and improving that. So, wait a minute. After the project, we define a smart performance indicator. For each step. So, after the project, we measured our performance, the measured performance there, reduction in reactive still to 20%. Reduction in HSE incident, 10%. Reduction in maintenance inventory cost, 7%. Reduction to total maintenance cost, 5%. Increased availability to petrochemical site and the refineries side together. Increased the employment productivity. The APM software with GE Vernova, the APM software is very, very useful system. So we integrated the other system with APM and this AMP, and it did processing and scoring better than all the other systems. So APM system, decision making, a lot of our action. After the smart signal remodel, we built by the model. First, this SmartSignal. This model, SmartSignal by GE Vernova, is the model of condition monitoring, as you know. So we start with five predictive models. On five equipment models.  
 
To study five predictives, after the project. The project is the very successful. Increased and expanded all 13 equipments. Alerts occurred this only one use. Open the case. Thank you very much. For this SmartSignal and the other modules. Thank you, Ryan. Yeah. Thank you, thank you. Tamer. And, Johan, I know you were. You were closely involved. Johan. I don't know if you have anything to add to the great work Tamer and team have done, on this front. I, I think I can I only subscribe to, let's see, what I previously say. That, I think this kind of this project is, is an example of how, software and, let's say the, implementation of the software, and the, the work processes in the organization, come together in one. And we saw that by assisting and helping, in a one third, one third, one third approach. So one third of the let's say the facilitation was done by Stork, supported by, engineer from SOCAR. But then the role switched in the next one third, we saw that the adoption of the work processes and this and the use of the software by the process guides we jointly developed, was was a key success factor because the, the, the engineers from SOCAR embraced the change and make sure that they were, let's say trained but also getting very enthusiastic about the uses of this tool. And so the value of the tool and as you see is that they are becoming more and more ambassadors of, let's say the software application, and explaining that to not only to their colleagues, but also to the rest of the world, so that I think it's an example of how APM should be implemented. And that's not only the software, it's not only Stork, but there is a, also, the SOCAR team itself and the mentality in the culture of the SOCAR team that makes the difference.  
 
So Tamer’s base team was great. They did a great job. Great. Thank you. Yeah. Really really good. I know it's a few minutes left and I wanted just to summarize kind of what we heard today and say, well thank you before we answer a few questions. So really what we talked through today is one, why is GE Vernova’s APM different? Right. It's more than predictive maintenance. It's more than the glitz and glamor that you're seeing in the market today. It is an embedded solution, that’s end to end. And that supports to Johan and Tamer’s Point also the adoption and methodology of APM. Right. It really helps support engineers and their expertise to get the outcomes that they need. We're working on some of those emerging technologies in the right way. That's also what you heard. So Malavika, thank you to you and Verdantix for the research. If you haven't read the report, you have an opportunity to download the link right here. Again, Verdantix is probably one of the top analyst firms looking into APM today. You heard from Vipin, our vision where we're going. A big part of that is partnership. So, Johan, thank you to you and your team. How can we best support our customers not only with technology, but with processes, studies, and a roadmap for the future. And then from Tamer, this wouldn't be possible without our customers.  
 
There's some questions in the chat about industries we serve, and I wanted to address one of them around renewables. So, Tamer, obviously a very unique use case. Oil, oil and gas, petrochemical. We do a lot there with integrity and safety and other applications. But when you look at the question specifically is how does our APM support renewables? Our APM is really interesting in the fact that it's highly composable since our V5 release. Right. So if you're looking to monitor wind turbines or hydro, we have some really unique use cases. And it comes down to what, what functionality is required from those industries for us support. Right. Tamer, in Tamer’s case, and SOCAR Türkiye, they use a lot of our solutions. It's a very robust technical process. So what we find in renewables is it might be bits and pieces of APM that can best support. So again I want to say thank you. There's a few questions here if people have to drop, I know almost at the top of the hour. But, Vipin, I wanted to, get a question over to you. About when we talk about data and accurate data, what's our what's our process? And how do we go about working with our customers?  
 
To help them with some of those challenges. Yeah. So when we say a data, there is various types of data. Right. And I do want to first is like where we see a lot of issues as the work history data set. Right. And the one way to identify with the bad data is, to first just integrate with work history. So which we do a great job is ability to integrate it and bring it into APM. And the other good thing about APM is out of the box actuators, content, which helps you define the data quality. So we have a workflow to, improve your data quality, especially on the work history data set to understand, you know, which, which are the content that needs to be updated. So that's one element. But also the other element is where, you know, getting on a journey of thickness monitoring or RBI, each of the data set changes, right. So once you get it started for a specific purpose, like in this case, risk analysis. And if it's not matching, we help you identify those bad data set as a part of those, you know, work processes. So I like us to connect data quality to bad actors, risk calculations, etc.. So and our analytical tool or the work process can help you easily identify that. Right. Perfect. And I know we're we're kind of up at time. So any last thoughts? Malavika, Johan, Tamer from from the content today. If if not, what we'll do for the folks with questions still in the chat. We will follow up. If we need a more technical answer, please feel free to reach out to myself. Or Vipin from the GE side. You have any questions about Verdantix.  
 
Also let us know. We're happy to get you in touch with Malavika. And if you want to learn more about Tamer’s great work with his organization. There's a great public story online from SOCAR Türkiye. So I saw a question. Hey, can you quantify the reactive maintenance? Tamer and his team did a great presentation at our Houston event, in April of this year. It's actually gonna be coming up in 2025. So if you're interested in the story, want to learn more, want to come join us? We have a lot of great content. So reach out to me. We're happy to share. And again, I just want to say thank you I know Tamer, Johan, Malavika. You're all very busy. So thank you for the partnership. The work in the field. And, we really appreciate you joining the group. Yeah. Thank you for the time. Thanks for having us. Thank you. Thank you everybody. Thank you very much. Thank you, thank you. Okay. Thank you.