Giorgio Ceredi

CFO (administration, Treasury And Fundings, Controlling, Consolidation, Contracts) at Expert.ai

Giorgio Ceredi has a diverse and extensive work experience. Giorgio started their career as an Analyst at Nomisma S.p.A. in 2003, then briefly worked as an Analyst at B.Group S.p.A. in 2004. Giorgio joined Deloitte & Touche S.p.A. later in 2004, where they worked as a Senior Auditor until 2011. As part of their role, they conducted audits and financial assessments.

In 2011, Ceredi joined Seci Energia (Maccaferri’s Group) as a Controller and Consolidation Financial Statement. Giorgio was responsible for preparing consolidated financial statements, budgeting, forecasting, and cash flow statements. Additionally, they coordinated a team of three controllers and played a key role in implementing the Tagetik 4.3 consolidation system.

From 2015 to 2016, Ceredi worked at DoveConviene as the Head of Controlling. Giorgio was responsible for budgeting, forecasting, and analyzing key performance indicators. Giorgio supported the internationalization process and played a significant role in the implementation of a new ERP system.

Currently, Ceredi is working at expert.ai since 2016, initially as the Head of Controlling, Funding, and currently as the CFO. In their current role, they oversee administration, treasury and fundings, controlling, consolidation, and contracts. Giorgio is responsible for managing the financial aspects of the company, including budgeting, forecasting, financial reporting, and investor relations.

Overall, Giorgio Ceredi has gained extensive experience in financial management, consolidation, budgeting, and control, with expertise in international environments and system implementation.

Giorgio Ceredi obtained a 110 with honours degree in Economics from Alma Mater Studiorum – Università di Bologna, between 2000 and 2004. Before that, they attended Liceo Scientifico, but no specific degree or field of study is mentioned.

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Bologna, Italy

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Expert.ai

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Expert.ai is the premier artificial intelligence platform for language understanding. Its unique hybrid approach to NL combines symbolic human-like comprehension and machine learning to transform language-intensive processes into practical knowledge, providing the insight required to improve decision making throughout organizations.


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201-500

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