Past events
The HRM Forum will focus on best practices in running a modern HR organisation and Strategic workforce planning. The Forum is also planning to discuss and define “Tax official of tomorrow”.
The meeting of the Steering Group of Tax Debt Management Forum is organised on 19-21 March 2019 in Budapest, Hungary.
The event will provide an opportunity to share experiences regarding prevention, detection and control measures used to combat VAT fraud in the automobile sector.
The Steering Group will focus on the preparation of the first meeting of the IOTA Forum on Communications to be held in 2019.
The Steering Group (BEPS experts from IOTA members and the OECD, together with the IOTA Secretariat) acts as driving force, providing consultations on planning and co-ordination of the Forum work
The Forum on Implementation of Measures to counter BEPS is an important platform to discuss and share strategies and the practical application of working methods and tools developed to counter BEPS.
Preparatory Group for the 26th Forum of Principal Contact Persons (PCP) is established to ensure that the interests of IOTA PCPs are properly represented in developing the Forum's agenda.
The joint OECD-IOTA training event specifically designed to develop both knowledge and practical experience in relation to (re)solving tax treaty-related disputes under the MAP.
This Steering group meeting will prepare the new IOTA Human Resources Management Forum to be held in 2019.
The workshop will focus on newest IT tools for structuring data/preparing data for analysis and real-time identification of potential risk.
The meeting is a key element of the Inclusive Framework, enabling EECA countries to discuss implementation of the BEPS package on a regional basis and feed their perspectives into the global dialogue
Looking at the new digital challenges of the 21st century, Tax Summit brings together tax administrations from all over the world to discuss and reflect on the challenges of taxing the digital economy
This special interest workshop will explore the possibilities of applying the machine learning methods in tax administrations .