Moving AI beyond experimentation requires connecting agents to operational context and identifying the business processes where they can deliver the greatest value. Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead is giving technology the context to act usefully within complex business processes. For Devavrat Shah, chief scientist of enterprise AI at Celonis, that context is central to what he calls "decision intelligence." AI agents can support individual tasks within larger decision-making processes, he argues, but they need to understand the role each task plays and the business conditions surrounding it. "You can't just do that in a vacuum," he says.

Celonis reveals and fixes inefficiencies businesses can't see, enabling them to perform at levels they never thought possible. Powered by its market-leading process mining core, the Celonis Execution Management System provides a full set of platform capabilities for business executives and users to eliminate billions in corporate inefficiencies, provide better customer experience and reduce carbon emissions. Celonis has thousands of implementations with global customers and is headquartered in Munich, Germany and New York City, USA with more than 23 offices worldwide. Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment and equal opportunity in all aspects of employment.

We believe that every company can unlock its full execution capacity - and for that, we need you to join us as a Senior Quality Engineer. At Celonis, we focus on QA as a chapter. Our chapter consistently works to improve processes across agile teams and shift testing left so that we surface quality issues early and often. We focus on integrating our toolsets and examining our processes to make sure we don't have any more manual effort than necessary, that our documentation is sufficient but also lean, and that our work is repeatable. In addition we work individually as embedded members of agile teams to do the day to day work of testing strategy, execution and automation.

At Celonis, we are building a leading product that defines the new market category of Execution Management Systems (EMS). We give data-driven & AI technologies context and let them speak in a wholly new way based on our award-winning process mining technology, which is powered by our in-house developed and patented PQL (Process Query Language). The Celonis Execution Management System provides a set of instruments and applications to help companies manage every facet of execution management from analytics, strategy and planning, to management, actions, and automations. Our technology helps bring immediate value to the biggest enterprises around the globe, and makes a direct impact on how people work day-to-day. For Global 2000 companies, transforming to an intelligent enterprise has become a key strategic priority. Celonis has thousands of global customers including ABB, AstraZeneca, Bosch, Coca Cola, Citibank, Dell, GSK, John Deere, L'Oreal, Siemens, Uber, Vodafone, and Whirlpool.

In the mid-1990s, many vendors, such as IBM, Staffware, Filenet, Lotus, and Xerox, provided workflow management (WFM) software. In fact, WFM systems were expected to become an integral part of every information system. Despite these high expectations, only a few organizations successfully used this technology. After the limited success of WFM systems, the scope was broadened beyond automation, leading to a wave of business process management (BPM) systems.1,7 Many organizations documented their processes using notations such as the business process model notation (BPMN), but few successfully used BPM technologies to create information systems driven by process models.8 One of the main reasons was because traditional process management approaches underestimated the complexity and variability of real-world processes and did not explicitly use the data available in existing enterprise resource planning (ERP) and customer relationship management (CRM) systems.

Red Hat, IBM and Celonis announced the general availability of Celonis Execution Management System (EMS) on Red Hat OpenShift Service on Amazon Web Services (AWS) (ROSA) as a managed cloud service. This enables organizations to take full advantage of the collaboration and unique expertise of each company in a multicloud environment. AWS is the first public cloud platform to offer Celonis EMS on Red Hat OpenShift, with Red Hat's support for other public clouds planned in the near future, including Google Cloud Platform, IBM Cloud and Microsoft Azure. In April 2021, the three companies strategically partnered to accelerate how global organizations drive business execution through process mining, data intelligence and systems automation. Despite trillions of dollars invested in digital transformation, from next-generation applications to cloud-based systems, organizations still struggle to realize full business potential due to process inefficiencies and gaps, siloed data and an overall expansion in IT complexity.

Mining is a traditionally analogue business. After all, the industry's symbol worldwide is a hammer and pick. Yet, despite the sector's antiquated reputation, some major mining companies are taking a progressive stance and proving digitisation and automation can achieve much better operational outcomes. Known as Mine 4.0, the industry is seeing digital transformation creep into everything from trucks, drills and trains to back-office processes, such as procurement and supply chain logistics. Miners have very little control over the revenue side of their business, as the global commodities crash of 2014 to 2015, when prices plunged by more than 30 per cent, and indeed the coronavirus epidemic demonstrate.

Mining is a traditionally analogue business. After all, the industry's symbol worldwide is a hammer and pick. Yet, despite the sector's antiquated reputation, some major mining companies are taking a progressive stance and proving digitisation and automation can achieve much better operational outcomes. Known as Mine 4.0, the industry is seeing digital transformation creep into everything from trucks, drills and trains to back-office processes, such as procurement and supply chain logistics. Miners have very little control over the revenue side of their business, as the global commodities crash of 2014 to 2015, when prices plunged by more than 30 per cent, and indeed the coronavirus epidemic demonstrate.

BERLIN, Nov 21 (Reuters) - German data mining software firm Celonis said on Thursday that it had raised $290 mln in a Series C funding round, putting a $2.5 billion valuation on the company that has been compared with enterprise application giant SAP . The funding round was led by Arena Holdings and investors included Ryan Smith, the founder of customer experience specialist Qualtrics that was bought by SAP for $8 billion a year ago. Celonis, based in Munich and New York, runs a cloud-based service that uses artificial intelligence to mine data and optimise business processes, serving customers including Siemens, 3M, Airbus and Vodafone. "We are in a market that shows enormous momentum," co-CEO and co-founder Bastian Nominacher told Reuters, adding that Celonis would invest the funds raised in its global sales and customer service and in enhancing its cloud platform. The funding round brings total investments into Celonis to $370 million.

New technologies like artificial intelligence and machine learning are changing the way work gets done all over the world. We believe that 2020 is the year that companies will embrace these powerful technologies and apply them to revolutionize their business processes. Here's how process-minded leaders can capture the opportunity. In the past few years, Process Mining grew faster than any other technology in the BPM and process excellence space -- even faster than RPA, according to theInternational Data Corporation, IDC. In 2020, the rapid growth will continue.