
This panel discussion explores how the risk management community is responding to the latest issues impacting the global economy, what are your strategies and how to ensure the resilience of your organisation, risk management challenges going forward; will we ever return to normality as we once knew it?
PANEL: Moderator: Eddie Tofpik, Head of Technical Analysis & Senior Markets Analyst, ADM Investor Services International Ltd. Saurabh Goyal, Founder & CEO, Phlo Systems Hassan Al Alawi, Senior Advisor & Risk Professional PANEL DISCUSSION: Digitalisation in commodity trading: Where do we stand? What does it mean for risk management to ...
• Why it is crucial for every type of trading company to integrate sustainability and carbon footprint in every aspect of the business? • How to handle this successfully • Carbon markets, carbon accounting, sustainability indexes • The value of carbon footprint in your daily trading operation: • Can carbon ...
• The role of the metaverse and transitioning from the analogue world • How far your data journey can take you and where will it end? • How trading companies can exploit quantum computing • Digital ethics… what will this mean for trading firms now and in the future?
• 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?
From geopolitics to inflation, market volatility to climate change, cyber attacks and more – there has never been such a vast array of risks facing commodity trading professionals. To not just survive, but thrive in these uncertain times, new approaches to risk management must be developed and deployed. Our brilliant speakers will tackle key topics ...
Your monthly content roundup – focusing on ESG, Greener Finance & The Path to Net Zero
Harmonizing initiatives across departments. Where should the ESG function live?Communicating efforts to the marketplace
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 ...