Celonis Leads AI-Driven Process Intelligence Revolution for Enterprise Efficiency

Enterprise process intelligence drives cross-industry efficiency - SiliconANGLE

As enterprises navigate the rapid shift toward AI-driven business solutions, enterprise process intelligence has become essential for cohesive data integration. Process intelligence is increasingly recognized as a key enabler in optimizing complex workflows and unifying data systems across industries, supporting a more connected and efficient operational landscape. Celonis SE's evolving capabilities reflect the industry-wide emphasis on actionable data insights and operational transparency. Through enhancements aimed at reducing data silos and streamlining core processes, the company highlights the potential for AI and enterprise process intelligence to create more responsive and cohesive business environments. "We always say there's no AI without process intelligence, especially on the enterprise side," Alex Rinke, co-founder and co-chief executive officer at Celonis SE, told theCUBE during the event. "What's the difference between AI and enterprise AI? Each enterprise is different, [with] proprietary processes, customer relationships and vendor relationships, and it's all scattered across systems." During the Celosphere24 event, theCUBE Research's Rob Strechay, George Gilbert and Savannah Peterson provided exclusive coverage on theCUBE, SiliconANGLE Media's livestreaming studio. Discussions centered on the company's latest platform innovations and how Celonis customers are unlocking more value, from efficiency gains to reduced costs to improved sustainability. (* Disclosure below.) Here are three key insights you may have missed from theCUBE's coverage: Celonis has introduced new tools enterprise process intelligence tools designed to create real-time, interconnected data flows, aiming to turn process data into actionable insights that optimize operations at scale, according to Rob Strechay, managing director and principal analyst at theCUBE Research. By integrating AI with process intelligence, Celonis aims to turn process data into actionable insights that optimize operations at scale. This evolution aligns with the industry's shift toward making AI a fundamental, scalable layer in business infrastructures, providing a single adaptable source of truth that drives transformation. "I think what we've all been saying this week has been the fact that having that process intelligence and being able to understand this is how the agent needs to work is really a key," Strechay said in an analyst segment during the event. "I think that [what] became very enlightening to me that this is not about, 'Hey, yes, you have to get your processes down, and if you don't do this first and you don't understand that first, you are going to fail at AI.' And that, to me, is a key." This integration of AI and enterprise process intelligence is essential in enhancing business efficiency and tackling industry challenges, according to Gilbert, who weighed in during the same analyst segment. By connecting legacy systems with modern infrastructures, AI-driven insights enable companies to optimize operations proactively. "For the first time in 50 or 60 years ... we're now going to start tracking processes," Gilbert said. "To your point that it's easier to implement ... you pull the information about the things out of these old systems, and they mine them, and then it flows into this process intelligence. Then, you can optimize these engine processes." The introduction of Celonis Networks highlights the company's commitment to transparency by connecting disparate data sources and automation systems to form a cohesive view of operations, according to Gilbert. "The Celonis value proposition is that we can build a single source of truth across these islands of automation and data and then create a map of the business as it's currently running," Gilbert said during another analyst segment at the event. "That is a very high-value business proposition." Celonis also announced AgentC, a suite of AI tools aimed at eliminating data silos and optimizing core processes such as supply chain management, Peterson added during the same analyst segment. These advancements are designed to help enterprises harmonize operations more effectively. "In the old days, [the] supply chain was like a game of telephone, [where] one person picks up the phone and says something to the other guy," Peterson said. "What's really interesting about Celonis ... is not only are they eliminating that game of telephone, they are harmonizing it like a choir. Everyone participating in that harmony is all speaking the same language, and that is the big difference." Here's theCUBE's complete video analysis with George Gilbert, Rob Strechay and Savannah Peterson: Real-time process optimization and data-driven strategies are at the center of AI adoption, driven by the need for enterprise process intelligence, according to Manu Haug, field chief technology officer of Celonis. Integrating advanced AI tools allows companies to map and analyze workflows, shifting from theoretical models to actionable strategies that enable alignment with dynamic market needs. "I think what we see most is if you look at [large language models], what they're doing ... they're just fundamentally lowering the barrier," Haug told theCUBE during the event. "You have the same information as before, but before that, you needed an absolutely super duper expert to help you solve the problem. Now you have access to a technology that actually makes it possible ... to optimize." Celonis emphasizes platform flexibility to meet diverse industry needs, according to Rinke. The company develops solutions that offer specific use cases for systems such as supply chains and customer management. "We have a generic model ... but we want to make it easier for any industry and any process to get Celonis and get value out of the box," Rinke told theCUBE during the event. "We [also] have apps for specific use cases like accounts receivables [or] like supply chains that are quite horizontal." Sustainability is also a core focus for Celonis, especially for industries with high environmental impacts. This is a challenge for many organizations, but also an opportunity to drive change and action, Rinke noted, citing a customer that used the Celonis platform to monitor its carbon output across its supply chain. "There's a lot more that's inspiring our customers, our people and everybody to drive positive change across all these dimensions, and there's going to be more," he said. Celonis' evolution from process mining to a comprehensive enterprise process intelligence platform augments its commitment to adaptability and sustainability, according to Carsten Thoma, president of Celonis. The launch of Process Sphere in 2022 marked a significant step forward in object-centric mining, allowing organizations to manage interconnected processes more efficiently. "We consider ourselves change-makers," Thoma said in an interview during the event. "At one point in time, and I've seen those examples, there used to be a lot of innovation over the decades. But at one point, it was also very clear that processes got retrofitted into systems to fit. And, on a certain level, it's time to liberate the processes a little bit. It's Process Independence Day at Celosphere." Integrating automation strategies into AI platforms is vital for boosting return on investment, according to Divya Krishnan, vice president of product marketing at Celonis. Embedding agentic AI and intelligent automation supports proactive workflow refinement, delivering measurable outcomes. "People have been putting a lot of good time, energy, effort and money into [robotic process automation], into backend automation and into complex workflows," Krishnan told theCUBE during the event. "The question is how do you optimize that, and then how do you bring agents to play to really dramatically increase the ROI that you can get from all the investments that you're putting in?" Here's theCUBE's complete video interview with Alex Rinke: Organizations across sectors are using enterprise process intelligence to enhance strategic innovation, streamline workflows and boost operational efficiency. Celonis' process mining tools help companies optimize processes, reduce bottlenecks and cut costs. In the automotive sector, BMW Group has integrated process mining to advance efficiency and sustainability, according to Patrick Lechner, head of process mining and robotic process automation at BMW Group. By optimizing engineering, production and customer support processes, BMW gains transparency and agility to maintain its competitive edge. "At BMW, we saw that only with optimal processes can we win, [that] we can be the leader in our field," Lechner told theCUBE in an interview. Therefore, it's really crucial to combine data and processes in the best possible way. We've really managed to do that in the last couple of years." The State of Oklahoma uses Celonis technology to modernize government audits, eliminating data silos and reducing lengthy audits to daily routines, according to Janet Morrow (pictured), director of risk, assessment and compliance for the Office of Management and Enterprise Services at the State of Oklahoma. "Prior to us implementing Celonis and utilizing this tool, we got about eight audits done a year with a team of six, and it would be two to three years post-purchase before those audits were complete," Morrow told theCUBE during the event. "Now, we're doing it live every day, and it's automated. We only see the things that cause concern, and then we reach out to those agencies and those buyers to talk through it." In healthcare, England's National Health Services employs process mining to improve patient care by adjusting communication strategies based on appointment attendance, according to Daniel Hayes, national lead of data-driven productivity for elective care at NHS England. This proactive approach underscores AI and process mining's potential to address systemic healthcare challenges on a national scale. "Process mining allowed us to see that if you had an appointment tomorrow, we would send you a text message today," Hayes told theCUBE during the event. "Invariably, patients wouldn't turn up tomorrow ... by looking at [the] reaction, we were able to move our communication with our patients to day 14 prior to their appointment and day four. We started to see that people were turning up and being more honestly engaged with the organization." In the consumer goods sector, Reckitt Benckiser Group PLC has adopted Celonis' process intelligence platform to enhance operational efficiencies across finance, compliance and supply chain management, according to Kuldeep Dudeja, IT and digital director of intelligent automation and process mining at Reckitt. Initially focused on finance, Reckitt expanded the enterprise intelligence platform to other critical areas, seeing significant ROI and profitability improvements. "We were able to even drive our cost to serve, which is helping us to drive our [profit and loss] benefits on the books," Dudeja told theCUBE during the event. "On the ROI side ... we already announced that we are in triple digits of a million benefits realized." Here's theCUBE's complete video interview with Kuldeep Dudeja:

Process intelligence driving efficiency and business value - SiliconANGLE

Digital transformation unleashed: theCUBE explores AI-powered process intelligence innovations As industries increasingly look toward digital transformation, the integration of artificial intelligence and process intelligence has become central to advancing efficiency and maximizing value. These technologies empower organizations to streamline complex processes, reduce inefficiencies and unify data across disparate systems. This technology-driven shift not only enhances productivity but also aligns businesses with sustainability goals and rising customer expectations, making process intelligence and AI foundational to modern business strategies across industries, from finance to logistics, according to Rob Strechay (pictured, center), managing director and principal analyst at theCUBE Research. "I think what we've all been saying this week has been the fact that having that process intelligence and being able to understand this is how the agent needs to work is really a key," Strechay said. "We heard that from BMW, when he talked about how they were building agents outside of Celonis as well, using the Celonis data and where the processes meet together with other data from other places. I think that became very enlightening to me that this is not about, 'Hey, yes, you have to get your processes down. And if you don't do this first and you don't understand that first, you are going to fail at AI.' And that, to me, is a key." Strechay spoke with fellow theCUBE Research analysts Savannah Peterson (right) and George Gilbert (left) at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how integrating AI and process intelligence is transforming business operations by streamlining processes and reducing inefficiencies, making these technologies foundational to modern strategies across various industries. (* Disclosure below.) The latest innovations in process intelligence are shaping business performance and driving substantial results. These innovations address critical challenges such as data fragmentation, manual inefficiencies and inconsistent customer experiences, providing businesses with actionable insights to optimize every layer of their operations, according to Gilbert. "We haven't had databases. We haven't had a layer that managed processes," he said. "We have things, graph databases, but so far, the labeled property graphs ... they're data structures. They don't capture the logic about how to run a process and that's what we have here. It's like we were in a technology-centric phase for the industry, and now we're going into an industry and business-centric phase." AI-driven process intelligence tools such as process copilots and optimization apps provide organizations with real-time visibility into operations. These tools analyze large volumes of data, identify patterns and predict potential bottlenecks, enabling companies to make proactive adjustments rather than reactive ones. "For the first time in 50 or 60 years ... we're now going to start tracking processes," Gilbert said. "To your point that it's easier to implement ... you pull the information about the things out of these old systems, and they mine them and then it flows into this process intelligence. Then, you can optimize these engine processes." The use of AI within process intelligence is not only enhancing individual workflows but also fostering interconnected operations. Through two-way data connectors and advanced AI agents, companies can now bridge older systems with modern digital infrastructures. "It feels like [Celonis is] having an SAP-from-a-few-decades-ago moment," Peterson said. "Process mining is at an evolutionary juncture, but you can really feel the trajectory. It feels like process mining is really having its moment. Companies and enterprises are aware of the value add there. That's what Celonis sells." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of Celosphere 24:

Business processes evolve: Celonis leads transformation - SiliconANGLE

AI and object-centric mining enable Celonis to liberate business processes Agentic AI solutions are driving important changes within enterprise platforms as businesses change how they think about backend systems, databases and user interfaces. Celonis SE is emerging as a key player in this transformation, as demonstrated by its recent announcements enabling organizations to exchange intelligence relative to their shared business processes. "We consider ourselves change-makers," said Carsten Thoma (pictured), president of Celonis. "At one point in time, and I've seen those examples, there used to be a lot of innovation over the decades. But at one point, it was also very clear that processes got retrofitted into systems to fit. And, on a certain level, it's time to liberate the processes a little bit. It's Process Independence Day at Celosphere." Thoma spoke with theCUBE Research's Savannah Peterson and George Gilbert at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how Celonis is moving up the tech stack to enable business processes. (* Disclosure below.) A key indicator of Celonis' quest to liberate processes can be seen in its progression from a process mining business to an intelligence platform. This has led Celonis to focus on the data-driven infrastructure necessary to optimize processes and streamline operations. "We're pretty much moving up the stack, if you look at the announcements," Thoma said. "A lot of focus yesterday in the keynote was on ... this incredible data infrastructure that we had to build to host all that data and the complexity of that data. Then you move up to the consumption layer. What do we need to do to make this easier for our customers and partners to consume and create their very own experiences? Move up the stack and make sure at any given point in time it is scalable, it's robust and it can actually frame enough value that it justifies the next step." In moving up the stack, Celonis has built technology that can enable cross-application communication. A common data structure allows users to optimize critical business processes. "Take B2B or B2C commerce, and integrate into an enterprise resource planning system," Thoma said. "If a customer consigns to online inventories to complete an order and deliver that order, that event doesn't exist in the ERP system because the ERP system does not know to online inventories. But at the same time, you have the same object that you can relate to the order. So, you surface both and you take it on the abstraction layer so that the process makes sense, and you feed the data from both systems because they have that abstraction." Celonis has been laying the groundwork for this week's announcements since the release of Process Sphere in 2022. It marked a key advancement in object-centric process mining, an approach that allows organizations to better visualize the interconnectedness of modern business operations. "When we started to think about how to apply object-centric process mining into something that really creates value for the customer, you automatically end up in a place where you had to flip the case-centric process-by-process model into something horizontal," Thoma explained. "We have always been focused on value, even in the case-centric world. Value is how we measure success with our customers." Here's the complete video analysis, part of SiliconANGLE's and theCUBE Research's coverage of Celosphere 24:

Boost sustainability with AI-driven process intelligence - SiliconANGLE

Adaptive AI for enterprise success: Celonis addresses flexibility, scalability and sustainability The ever-evolving landscape of enterprise technology is increasingly focused on integrating AI-driven process intelligence across industries. Today, businesses seek not only operational efficiency, but also innovation in handling complex systems such as supply chains and customer relationships. As organizations look to gain a competitive edge, the ability to streamline processes and leverage advanced technologies has become paramount. "We always say there's no AI without AI, especially on the enterprise side," said Alex Rinke (pictured), co-founder and co-chief executive officer at Celonis SE. "What's the difference between AI and enterprise AI? Each enterprise is different, [with] proprietary processes, customer relationships and vendor relationships, and it's all scattered across systems." Rinke was joined by theCUBE Research's Rob Strechay and Savannah Peterson at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the versatility of platforms that can cater to various industries, the challenges of maintaining scalability and the drive toward sustainability. (* Disclosure below.) One of the core challenges for companies today is ensuring that their technology platforms can adapt to a variety of industries and use cases, according to Rinke. Achieving this adaptability requires building flexible systems to handle diverse processes -- from manufacturing workflows to healthcare services -- while remaining easy to implement across different geographies. "We have a generic model ... but we want to make it easier for any industry and any process to get Celonis and get value out of the box," Rinke said. "We [also] have apps for specific use cases like accounts receivables [or] like supply chains that are quite horizontal." To address the unique demands of different sectors, Celonis applies AI-driven process intelligence, enabling real-time visibility into business operations and allowing companies to tailor their solutions while maintaining an overarching universal model. This adaptability helps connect processes across company boundaries, streamlining operations across industries. "Celonis initially was one process at a time," Rinke noted. However, recognizing that supply chain processes don't stop within an organization, the company worked to connect processes -- such as those in distribution and supply networks -- to reduce the friction between them, he added. The growing focus on sustainability is shaping how businesses operate, especially in sectors with significant environmental footprints, according to Rinke. Companies are now evaluating their processes' efficiency and impact on the environment, particularly in areas such as logistics and supply chain management. Businesses can track and reduce their carbon footprint using AI-driven process intelligence, creating a sustainable supply chain. "I think [sustainability] is a real challenge, but it's also an opportunity -- to drive change and motivate change and motivate action," Rinke said. Highlighting how one customer used the Celonis platform to monitor carbon output across the supply chain, he added that the company looks at sustainability from an efficiency perspective but also evaluates how much carbon they're creating so they can take actions to reduce their footprint. "There's a lot more that's inspiring our customers, our people and everybody to drive positive change across all these dimensions, and there's going to be more," Rinke said. Celonis is continually looking forward, with a strong focus on improving its platform to meet evolving customer demands, according to Rinke. The company emphasizes the importance of building on its current technological foundation to enhance scalability and efficiency for its clients, ensuring AI can integrate across an organization's processes effectively. "Whenever we come up with a new data infrastructure to be more scalable ... [with] better data under the hood ... a very modern data stack that's very interoperable," Rinke said. The company is focused on ensuring its platform is both fast and adaptable, positioning Celonis to handle complex, real-time processes across industries, he added. Here's the complete video interview with Rinke, part of SiliconANGLE and theCUBE's coverage of Celosphere24:

Celonis process mining aims to transform companies - SiliconANGLE

Celonis process mining looks to transform with sustainable efficiency As industries prioritize efficiency and automation, there's growing momentum around process intelligence and data-driven transformation. That's where Celonis SE steps in. There's been great excitement around Celonis process mining. It may feel right now like process mining is having a moment. It's an evolution that is accelerating, according to Lars Reinkmeyer (pictured), chief evangelist at Celonis. "I've seen the process mining, which we did a couple of years ago, which was more than mining and visualizing," Reinkmeyer said. "Now it's been the intelligence, saying based on that insight which we have, what intelligence can we bring in there by proactive alerting, by doing action flows, by doing automation?" Reinkmeyer spoke with theCUBE Research's Rob Strechay and Savannah Peterson at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed Celonis process mining and the role of AI in driving enterprise transformation. (* Disclosure below.) If a company has a platform which understands its processes and the inefficiencies in its processes, then with AI enabled it can accelerate it, according to Reinkmeyer. That represents a whole other ball game. "The other thing which I'm seeing here, which I'm really enjoying, is the caliber of discussions. Three years ago, four years ago at Celosphere, there were maybe people who you had to tell, 'OK, what is process mining? What are you doing?'" he said. "Now, everybody knows about it." Companies that now know about process mining are now asking how to accelerate it, according to Reinkmeyer. That has brought a different sort of conversation to the event. "We get very senior people here who are coming from a transformation perspective, not coming from a single use case. But saying, 'I want to transform my supply chain across my organization,'" he said. "It's a whole different game which is happening." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of Celosphere 24:

AI agents fed by process intelligence power the next gen of enterprise AI performance

Current C-suite and board views of AI can be summed up in a single phrase with the famous line from the American movie classic Jerry Maguire: "Show me the money!" For many enterprises, AI's honeymoon period has ended. Poll after poll makes clear that today's top bosses want AI to turbocharge business KPIs and digital transformation to provide clear value -- and fast. The opportunities to quickly create cost-saving and revenue-enhancing AI sought by organizational leaders are huge, says Divya Krishnan, VP of product marketing at Celonis. "Right now, there's a big disconnect between AI's potential in organizations and its actual performance," she explains. "Large language models (LLMs) are impressive, but many enterprises are struggling to translate their use into meaningful business outcomes." Similarly, while AI agents can automate tasks and workloads, she explains, they lack understanding of important business context and nuance, and often fall short. "Without process intelligence, there is no class of data that captures how work gets done that is being given to enterprise AI models," she notes. "And that means there's always going to be a ceiling on what they can realistically automate for you until they have that input at hand." Fast, impactful AI that drives the right actions and outcomes must be trained with specific performance data from a company's own process intelligence, not generic industry modes, she says. The key: Powering AI with PI At Celosphere, its annual user conference in Munich, Celonis announced multiple product innovations and extended partnerships that make it easier for customers to power AI with process intelligence. The company unveiled AgentC, a suite of tools, integrations and partnerships that enable enterprises to develop AI agents and CoPilots powered by Celonis Process Intelligence or use AI agents pre-built by partners like Rollio and Hypatos. Organizations can choose to build agents with leading platforms such as Microsoft Copilot Studio, IBM watsonx Orchestrate, Amazon Bedrock Agents and open-source developer environments like CrewAI. Enterprises creating their own agents can benefit from support of expert consulting partners Accenture, EY and IBM. "Those integrations are crucial," said Krishnan, "because that's what's going to enable people to build these agents with the right data at hand, data that can make sure the agent you build is tailored to your unique business, data that you won't get anywhere else." Celonis Process Intelligence powers AI agents with process data and business context -- key to improving processes across systems, departments and organizations. Users of LLM AI fed by process intelligence can now ask conversational questions like those enjoyed by consumers: "Why is my on-time delivery rate low and how much is it costing us?" "Give me three recommendations for improving working capital." "Which regions are likely to have late deliveries and what can we do about it?" Early adopters report real value According to Gartner, the global market for process mining software grew 40% in 2023. Worldwide sales for process automation are expected to reach $26 billion by 2027. Nearly 90% of corporate leaders surveyed by HFS Research plan to increase investments in process intelligence. A big part of the appeal, Gartner concludes: "Generative AI helps organizations use process mining to uncover hidden patterns, optimize operations and make informed decisions." Maureen Fleming, VP for Intelligent Process Automation at IDC, concurred. "Understanding the intricacies of processes and their interdependencies is crucial to achieving effective AI-driven digital transformation." Companies deploying AI fed with process intelligence are reporting clear benefits in understanding how their businesses run and how to make them run better. A sampling from across industries: Cosentino, a leading manufacturer of design and architectural surfaces, implemented a Celonis-powered AI assistant for credit block management. The assistant helps the team analyze blocked orders within seconds, enabling credit managers to process up to 5x more orders per day without additional risk. A European packaging company has implemented an agent that allows plant technicians to view spare part inventory levels in nearby plants, enabling them to utilize stock transfers instead of placing orders with suppliers. A multinational construction material provider employs a similar agent to link inquiries and requests to their corresponding invoices and purchase orders, automating the resolution process with features like auto-responses, ERP updates and internal forwarding. A global consumer goods company uses an agent to extract payment terms from PDF contracts, compare them against terms in their master data, purchase orders and invoices, and recommend actions to accounts payable clerks to resolve any inconsistencies. A global car manufacturer has adopted an agent that automatically generates email replies to supplier inquiries, such as questions regarding the status of invoices. Lastly, a major technology leader plans to implement an agent that enhances the customer funding request process by predicting the likelihood of request rejections and notifying the applicants accordingly. Building AI agents in-house or on partner platforms Developing agents, fed with process intelligence, in-house allows enterprises to tailor the agents to their specific processes, workflows and industry nuances. Taking this path can provide tight intellectual property protection by keeping proprietary algorithms and insights within the company. Companies can quickly adjust and improve agents based on immediate feedback and changing needs. And because internal teams have intimate knowledge of the company's operations, they can potentially develop more effective AI agents to competitive advantage. At the same time, bringing in multiple parties to develop AI agents fed by process intelligence also brings numerous advantages: Diverse expertise, faster innovation enabled by an ecosystem of developers, greater industry customization, wider scalability and faster continuous improvement from a larger ecosystem. Celonis provides a foundation for both in-house development and integration of external AI agents, says Krishnan. This allows companies to remain adaptable, choosing the best approach for each specific use case. Platform innovations on the horizon Celonis also announced multiple innovations that are being rolled out to enhance scalability, ease of use and overall value realization: Celonis Data Core, Celocore for short, is a platform enhancement designed to help customers get data into Celonis more quickly and once it's there, dramatically reduce "extraction, transformation, load (ETL) and query times. This allows businesses to harness insights more rapidly and on a larger scale. The introduction of a GenAI-powered user experience will streamline how users engage with data, simplifying dashboard creation and enhancing the analytical experience. Celonis Networks facilitates connections across company boundaries, enabling optimization across processes that span multiple organizations. This collaborative approach can drive unprecedented efficiency and effectiveness. Use-case-specific applications are being launched across multiple sectors, including logistics, finance and manufacturing, to accelerate the realization of value from AI initiatives. "We're not trying to take over the whole field, "says Krishnan." We're working to bring everybody into it."

AI success through data-driven insights and process optimization - SiliconANGLE

Why AI success hinges on real-time process optimization and data-first strategies As artificial intelligence becomes more integral to enterprise operations, the focus on process intelligence and data-driven insights is stronger than ever. Companies increasingly use advanced AI tools to optimize workflows and navigate complex challenges. At the heart of this transformation is the ability to gather, analyze and apply data efficiently, with process mapping playing a pivotal role in making AI initiatives successful. "I think what we see most is if you look at [large language models], what they're doing ... they're just fundamentally lowering the barrier," said Manu Haug (pictured), field chief technology officer of Celonis SE. "You have the same information as before, but before that, you needed an absolutely super duper expert to help you solve the problem. Now you have access to a technology that actually makes it possible for you and me to optimize." Haug spoke with theCUBE Research's Rob Strechay and Savannah Peterson at Celosphere24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how organizations are accelerating AI progress by refining their process mapping strategies and addressed the criticality of data as the foundational element of process intelligence and AI. (* Disclosure below.) Process intelligence is proving to be a crucial foundation for AI because it enables organizations to understand and optimize workflows in real time, according to Haug. Businesses can better align their processes with real-world needs by focusing on data-first approaches, increasing efficiency and effectiveness. The evolution in how companies approach mapping highlights the shift from theoretical models to data-driven realities. "I think the big, big fundamental blueprint is doing it data-first or data-driven versus doing it like modeling and drawing a picture first," Haug said. "Even reports or like 20 years ago you had pro design as a discipline, right?" Moreover, this approach is transforming how companies handle large-scale operations, such as those involving physical and digital assets, according to Haug. By connecting real-time data from both domains, enterprises can streamline operations and use data-driven insights to achieve more accurate decision-making. "I think, ultimately ... think about this process-first mindset ... like if you're a company, no matter what you're doing, you hopefully sell something to somebody," Haug said. "That's the end process." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of Celosphere 24:

Process mining is the future of business management, according to Celonis - SiliconANGLE

Celonis looks to solve bottlenecks throughout tech industry Most businesses and institutions struggle with bottlenecks and inefficient systems, but according to Celonis SE, the solution is process mining. Process mining is a way of extracting valuable insights by observing an organization's operations. Celonis' platform is particularly useful for users trying to prepare their data for artificial intelligence and machine learning models. "What I found out is that most of the organizations that would buy work for management technology would not use it at all," said Wil van der Aalst (pictured), chief scientist at Celonis and professor at RWTH Aachen University. "So, they would buy it and not use it because the real processes were more complicated than when people start to model. That gave me the idea to start working on process mining, where you start from the data and you try to [find] out what's really happening. Because when people say what they are doing, they are very unreliable. " Van der Aalst spoke with theCUBE Research's Savannah Peterson and Rob Strechay at Celosphere 24, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the power of process mining and why more companies need to invest in it. (* Disclosure below.) The biggest bottleneck within an organization is usually its data, according to Van der Aalst. If companies want to implement AI, they need to get their data in order first. "There is no organization that doesn't have process related problems, and it's often very unclear why these problems are there," he said. "At the same time, there is data and people do not know how to use it. I think organizations are still pretty naïve that they think they can ask ChatGPT what their problem is. You really need to do the work, and process mining is like the enabler of being able to apply these types of techniques." The applications for process mining are wide ranging, with analyzing airplane delays and managing traffic violations as a couple examples. Sometimes, upper management can be resistant to changing old practices, but Van der Aalst believes that the world will eventually come around to a more efficient way of doing things. "If you do process mining, you first discover the processes," he said. "You can see where your problems are. Then for every individual problem, you can kind of analyze it further and generate this AI and the data mining problems without being able to see, I have a bottleneck here. People are deviating in this part of the process. If you don't know that, you cannot apply agents over there in any meaningful way." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of Celosphere 24: