Digitalisation & Technology
Advancing data science in the commodity trading industry
• Integrating prescriptive analytics into your business strategy • Getting more from your data – what is existing technology capable of? • New approaches to data management and security • Machine learning, AI… more complexity?
CTRMs in exceptional times – friend or foe?
• What is expected from CTRM software in highly volatile environments and times – are they standing up to the challenge? • Cloud vs on site – exploring pros and cons • Commodity price risk management, liquidity risk and treasury tools; one system fits all? • Architectural and interoperability challenges
Applying Artificial Intelligence and Machine Learning (AI/ML) in Commodities
A framework for kickstarting internal discussions within your organization. Defining AI/ML projects – how are they different from a typical IT systems project.Business problems in commodities where AI can be applied. AI/ML to improve current processes versus creating value and competing better. Aligning leadership, data, legal/compliance and ensuring cultural readiness ...
Asset Optimization via Crypto Mining
Oil prices at highest level since 2008, jeopardizing post-pandemic recovery. Exploration of key drivers of crude and refined product pricing in 2022. Signposts to watch as summer driving season kicks in
Data, Data Everywhere
Trends and impacts of data and digitalization. An overview of data tools and landscape from ingestion to advanced analytics. Developing a framework to manage data and ensure data governance: ensuring data integrity and transparency. Leveraging data analytics to make decisions across domains.
Digitalization of Trade Finance
Growth of CTF FinTech and what we are seeing today. Evolution or revolution? What is truly most important to the traders and financiers? Impact on risk and capital treatment. High commodity prices, price volatility, liquidity…. How can the commodity finance industry can pro actively manage during these challenging times. Can ...
Using Technology to Create a Culture of Trading Compliance
Developing a mix of trading technologies (CTRM, Trade Surveillance, Machine Learning, RPA) to ensure regulatory compliance? How do these technologies fit into an ESG strategy in regard to corporate governance?
Identifying Core Requirements When Selecting a Technology System
Establishing priorities, from financial considerations to functionality, useability and scalability. Pros and cons of cookie cutter versus tailored solutions. Working with key stakeholders to prioritize system requirements. Impact of regulatory developments on decision making
A Golden Era of Fraud and Financial Crime in Commodity Trade?
• Why has the pandemic been an enabler to increased fraud and risk? • Cyber defence – what does the CTF community need to know and do? • Lessons learned from recent high profile cases • Where can new technologies play a role in mitigating these risks?
