AI that shows how your business flows: Bringing together generative AI and process intelligence

Financial institutions have used artificial intelligence (AI) and machine learning (ML) for decades, from detecting unusual transactions that may be fraudulent, to automating routine tasks like data entry, to underwriting and credit scoring. 

Generative AI and large language models (LLM) represent the next generation of these technologies. While traditional machine learning uses a clean, structured data set to model a specific task, generative AI and LLMs ingest all data types to create general purpose models that can be tailored for specific tasks. 

During a roundtable hosted by American Banker and sponsored by Celonis, a panel of experts discussed how financial institutions can leverage process intelligence, along with generative AI and LMM, to increase operational efficiency, reduce costs, and improve business performance.

Read more about their insights here.

AI has landed for the consumer. It's no longer a topic for data scientists and IT alone. But what is Generative AI? Equally as mystifying is Process Intelligence - a complex subject, frequently hidden behind the process expert wisdom.

So, how can department and functional leaders, from risk to operations to IT, leverage AI and Process Intelligence to effectively improve and automate banking processes, but in a business language that everyone can clearly understand?

AI and industry experts from Celonis and Accenture discuss how Generative AI and Process Intelligence work together to: - Provide faster and clearer process insights - Introduce smarter process optimization - Free up time to focus on customer asks - Enhance the digital banking experience