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Vertex, Inc., a leading global indirect tax technology company, experienced transformative growth in 2024 with a 16% revenue increase to $667 million and nearly doubled stock prices, driven by advanced capabilities and a commitment to long-term thinking, while emphasizing trust and collaboration with customers to navigate the evolving tax compliance landscape amid rapid changes in technology and regulation.

Webinar On-demand As the enterprise landscape becomes increasingly complex, organizations are looking at automation to help them address business challenges like reducing manual effort in repetitive tasks, streamlining operations, reducing costs, increasing productivity, and freeing up resources for higher-value strategic initiatives. In addition, there is a need to manage integration challenges across multi-cloud and hybrid cloud environments, streamlining the move to SAP S/4HANA, adoption of the SAP Business Technology Platform (BTP), and the growing role of citizen developers and low-code/no-code solutions. This session explores the evolving landscape of process automation for SAP and look at key trends that are shaping its future. Recent research explains that highlights how organizations are advancing in automation maturity, adoption and usage patterns of tools like SAP Fiori and SAP BTP, and the challenges that integration needs present. Whether you’re an SAP professional or a business leader, this webinar provides valuable insights to help drive digital transformation in your organization. Watch this webinar to: Gain actionable insights into the current state of SAP process automation. Understand the key challenges faced by large enterprises today. Learn how to leverage SAP tools to drive innovation and efficiency in your organization.

Inetum, a European leader in digital services, is enhancing its strategic partnership with SAP under new leadership to drive agile, AI-integrated business outcomes, while prioritizing clean data governance, pragmatic cloud transformation, and the importance of human-centered processes.

In today’s AI-driven landscape, businesses struggle with data readiness—poor quality, limited volume, and ethical constraints threaten the success of generative AI initiatives. In addition, questions are frequently asked about improving data quality, what to do with limited data volume, and how to address ethical constraints that threaten the success of generative AI initiatives. This session will explore why these challenges can lead to biased, inaccurate, or outdated outputs that erode customer trust and ROI. By attending this session, you will: Learn strategies to ensure high-quality, diverse datasets that power reliable AI outcomes. Discover how to streamline preprocessing, scale infrastructure, and maintain current data in a compliant way. Leave with insights to transform your data into a competitive edge for Generative AI innovation.