Abstract: In the ever-evolving landscape of corporate automation, the transition from Robotic Process Automation (RPA) to Intelligent Process Automation (IPA) is critical nowadays. Integrating Machine Learning (ML) technologies and sophisticated Generative Pre-trained Transformer (GPT) models reshape how financial institutions optimize their processes. This presentation delves into Intelligent Process Automation, where traditional boundaries are surpassed, unlocking unprecedented possibilities. From the classification of tasks using ML algorithms to the revolutionary impact of GPT models, we explore each facet and unravel a narrative that underscores the transformative power of automation in the corporate sector. During the talk, we will discuss the following topics: – The Shift from RPA to Intelligent Automation. – Classification Algorithms in Action — Illustrate how classification algorithms streamline corporate operations. – Information Extraction for Corporate Data — examine ML’s role in extracting data from unstructured corporate documents. – Signature Recognition for Enhanced Security — explore the role of ML in recognizing and authenticating signatures in various corporate documents. – Revolutionizing AI with GPT Models — uncover the latest advancements in Generative Pre-trained Transformer (GPT) models, highlighting their impact on the corporate sector. – Delegating tasks to AI: Balancing Trust and Risk — emphasize the importance of understanding the cost of errors in each process. – Specialized Platforms for Corporate Automation — advocate for a balanced approach with a human-in-the-loop for continuous quality improvement. Co-sponsored by: IEEE Okanagan College Student Branch Speaker(s): Sergii Baibara Director of IBA Ukraine, part of IBA Group Room: HS 102, Bldg: HS, 1000 KLO Rd., Kelowna, British Columbia, Canada, V1Y 4X8, Virtual: https://events.vtools.ieee.org/m/386898