By Plenary Sessions: Urve Tiidus

The speaker demonstrates expertise regarding agricultural inputs, specifically naming fertilizers, animal feed, and technology as critical areas of dependency. They use the technical term "production inputs" and emphasize the need for "real-life examples," which indicates knowledge in the field of agrieconomics and supply chains.

The speaker demonstrates knowledge of macroeconomics and global finance, using specific statistical data (235% of global GDP, 251 trillion dollars). The source of this knowledge is cited as the International Monetary Fund (IMF) blog, which emphasizes a data-driven approach.

The speaker demonstrates expertise in data security, cybercrime, and the global impact of technology. The technical phrase "data is the new oil" is employed, and the speaker refers to the increasingly complex and costly nature of protecting data. This expertise centers on the intersection of constitutional principles and technological reality.

The speaker demonstrates interest in financial services supervision and risk management, using the term "risk-based supervision" and mentioning the impact of technology. They are seeking a deep, historical comparison regarding the evolution of risks, which suggests a desire to understand the technical background and development of the subject matter.

The speaker demonstrates comprehensive knowledge of communication infrastructure regulations, including cable installation technologies (milling, communication conduit) and requirements for mast placement. Specific terminology is utilized, and reference is made to European Union regulations and Nordic practices. In subsequent remarks, the speaker connects the conduit diameter to market and consumer density, drawing upon the principles of physics and market economy.

The speaker demonstrates knowledge of financial regulation and the credit union sector, referencing specific documents such as the consultation round table matrix and the positions of the Chancellor of Justice. He/She uses technical questions and statistical forecasts (two to three versus about ten) regarding the expected decrease in the number of unions to emphasize the complexity of the topic.