［ライブイベント］AI + プロジェクトファイナンスモデル：業界アップデート

ここ数か月、市場では Excel や財務モデリング向けの AI 駆動ツールの開発が急速に進んでいます。基盤となる技術は急速に進歩している一方で、企業における導入状況にはばらつきがあります。本ウェビナーでは、業界ディスカッション、パイロット導入、ケイパビリティ向上セッションで得られた知見をもとに、AI がプロジェクトファイナンスおよびインフラファイナンスのモデリングにおけるワークフローをどのように再構築しているかを概説します。

27 February 1PM AEDT // 10AM SGT // 11AM JST

*本コースは、英語のみでの開催となります。

Register for this free webinar

Learning points:

Classify AI use cases across core modelling activities, including model build, document processing, project comparison, integrity review, version control, credit/investment paper preparation, etc
Gain insights in how AI tools benefit everyone working with financial models, not just the person developing them from scratch
Identify the tools, platforms and solutions gaining traction as preferred options within the sector.
Understand the key barriers preventing individuals and organisations from scaling AI adoption in financial modelling.
Review practical examples highlighting efficiency gains and constraints across both simple and complex modelling workflows.

While many applications are now available or in development, this session will focus primarily on Copilot as the platform with the broadest accessibility for the project finance community, driven largely by enterprise IT and data‑security requirements.

Presenters

・ Joshua Grimm, Director
Forvis Mazars APAC Energy

・ Rickard Wärnelid, Partner
Forvis Mazars APAC Energy

・ Rael Levinsohn, Associate Director
Forvis Mazars APAC Energy

[New course in APAC] Project Finance: AI in Financial Modelling (2 days)

This webinar is drawn directly from our new Project Finance: AI in Financial Modelling course, translating the core concepts, tools and workflows into a practical, project finance focused session. The course explores how AI can be applied across the full financial modelling lifecycle, from model build and review to scenario analysis and efficiency gains, while maintaining governance, transparency and best-practice standards.

The webinar offers a preview of these ideas in action, with practical examples and insights taken from the broader course content.