DigiCom
Artificial Intelligence – Real-life Examples Of Application In Commodities
There are extraordinary projects making use of AI in commodities, to help with trading decisions, to track vessels, to predict movements, to analyse vast amount of data, etc. This session will highlight some of these great projects to inspire you and your team of data scientists, and will be followed ...
REAL-LIFE APPLICATION OF AI: SHORT TERM FORECAST: IMPROVEMENT OF DAILY SALES REPORT
• Defining a truly data driven company: what is the architecture behind it? • Fostering Data culture in your organisation- what is important and What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes • What can commodity trading learn from other industries?
ARTIFICIAL INTELLIGENCE – REAL-LIFE EXAMPLES OF APPLICATION IN COMMODITIES
• Defining a truly data driven company: what is the architecture behind it? • Fostering Data culture in your organisation- what is important and What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes • What can commodity trading learn from other industries?
BLOCKCHAIN IN COMMODITIES – IS NOW THE TIME?
• Defining a truly data driven company: what is the architecture behind it? • Fostering Data culture in your organisation- what is important and What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes • What can commodity trading learn from other industries?
ALTERNATIVE DATA – WHAT IS IT AND HOW TO MAKE BEST USE OF IT?
• Defining a truly data driven company: what is the architecture behind it? • Fostering Data culture in your organisation- what is important and What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes • What can commodity trading learn from other industries?
WHAT ARE THE CTRMS EVOLVING INTO?
• Defining a truly data driven company: what is the architecture behind it? • Fostering Data culture in your organisation- what is important and What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes • What can commodity trading learn from other industries?
Applying Artificial Intelligence to the Challenges of Physically Traded Commodities
A discussion on the actual value of Artificial Intelligence to businesses, Al update and usage in commodities, the process needed to embark on an Al project, and case study with Al in practice.
Interview with ZE: Top 3 pieces of advice to companies embarking on their digitalisation journey
Top 3 pieces of advice to companies embarking on their digitalisation journey ZE has been in the commodity space for quite some time now, what are the major trends you’ve seen emerging over the years in that industry ? We continue to see substantive consolidation of data processes within companies ...
Developing a transformation roadmap: strategies & best practices post-pandemic
Recorded live at DigiCom 2020 – learn how to develop a transformation roadmap
