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.”
Celonis’ Manu Haug talks with theCUBE about how organizations are accelerating AI progress by refining their process mapping strategies.
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.)
Data-driven insights: The key to AI success
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:
(* Disclosure: TheCUBE is a paid media partner for Celosphere 24. Neither Celonis SE, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)