Data
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.
Integrating AI and Advanced Predictive Analytics into your Data-Driven Trading Strategy
• “Data is the new oxygen”: Do you truly have a data driven trading strategy? • Build or buy? A review of the AI and ML predictive analytics tools in price forecasting – what’s out there and what developments can we expect in the year ahead? • How does adopting ...
Artificial Intelligence – the Good, the Great… The Mundane?
• AI’s application to advanced data analytics: Will this trigger a permanent transformation of the front office? • Going beyond the front office: what notable use cases are we seeing of AI improving the bottom line? • Predictive maintenance • Network optimisation • Inventory management • Utilising AI in the ...
Decentralisation and Democratisation of the IT Department: Empowering Business Users
• Exploring experiences so far in developing a “self-service” modelAssessing the potential benefits :• Broadening access to often underused functionalities • Ensuring technology is less of a bottleneck • Better use and understanding of data, creating the right data catalogues and data architecture • Reducing the dependence of tech teams ...
Driving Interoperability Through Next Generation Architecture Strategy and Design
• Architecture: from an enterprise data warehouse to data mesh concept. • Can you enable a data driven organisation with legacy systems? • Is the era of an end to end ERP gone? Or is it simply evolving? • Ensuring a solid integration layer – the key to success in ...
Transitioning Into a (Genuinely) Data-driven Organisation
• How do you define a data driven company? • What is the architecture behind it? • What is the data culture? What skills are needed to drive data strategy? • A deeper look into standards, platforms and processes• What can commodity trading learn from other industries?
Digital Innovations in Risk Management
• An overview of notable RiskTech on the market today • Utilising high quality data analytics to drive risk platforms • Risk- as-a-service models vs traditional models • Where are we seeing practical applications of AI to risk technology
Windward’s Data for Decarbonisation Program
Decarbonization is one of the biggest challenges the maritime ecosystem has ever faced – but it might also present great opportunity. Read this one-pager about Windward’s new Data for Decarbonization program as they power the maritime industry on the path to decarbonization. You can also read about it on their ...
‘DON’T BOTHER IMPLEMENTING DATA LAKE’… IF YOU’RE NOT READY
• 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?
