[Siemens Expert Talk] Webinar Held on the Theme: "Why Don't Large Enterprises' AI Initiatives Reach Full Production?"

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AI Investment is Expanding in Large Enterprises While AI investment is expanding in large enterprises, there are many cases where initiatives do not progress from Proof of Concept (PoC) to full-scale operation, failing to generate sufficient results. Despite high expectations for AI, challenges remain in its integration into daily operations and company-wide deployment. Connecting investments to full-scale operation and business outcomes has become a crucial theme for many companies.

Fragmented Data Makes Operational Implementation Difficult One reason for the lack of AI adoption is that data remains siloed within departments or systems, preventing necessary information from being used across operations. When combined with a risk-averse operational environment and challenges in AI trust and literacy, it becomes difficult to move beyond creating AI to ensuring its continuous use in the field.

Three-Layer Foundation for Leveraging AI in Management: "Data Integration," "Development & Operations," and "Application Implementation" This seminar, the first installment of "Siemens Expert Talk," is an introductory session that organizes the fundamental structure required to leverage AI in management. Based on Siemens' RapidMiner and Mendix, it will explain the overall picture of how to integrate fragmented data, how to make AI development and operations sustainable, and how to implement them into field operational processes. It will introduce, with case examples, how the three layers of "Data Integration," "Development & Operations," and "Application Implementation" interlock to connect AI and business, enabling AI to move beyond PoC or partial utilization to full-scale operation and business value.

Recommended For - Management planning and DX department personnel in large enterprises who wish to leverage AI in their business strategies. - IT department personnel considering the development of a foundation to support full-scale AI operation, taking into account fragmented and unstructured data. - Business department personnel who aim to implement AI into operations and ensure its adoption in the field, going beyond PoC.

Organizer/Co-organizer Siemens K.K. ■Cooperation Open Source Software Utilization Research Institute Inc. Majisemi Inc.

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