The Transformative role of AI in Finance
Powered by machine learning, AI is excellent at finding patterns in data. Credit companies have heaps of information regarding past customers, ranging from demographic and sociographic insights to payment schedule adherence. It follows that these tools can show the risk of default with high accuracy.
Among the key drivers for adoption of AI and machine learning (ML) is the level of insight it offers into customers, markets and competitors, as well as the cost and time advantages of automating processes. As it continues to develop, it can identify patterns for FIs to offer bespoke services to their customers. Though it is still in its nascent stage the speed at which it is progressing to evolve different sectors, can we expect that the prospects are going to lead to minor losses and smarter trading?
Key points to discuss:
- Why is AI the future?
- Is AI a disruptive force for finance?
- What is the growing impact of AI in different business industries today?
- Is the hybrid cloud model the best approach companies should take to upgrade their services?
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The Ortus Club hosts knowledge-sharing discussions in the best private dining rooms in the world. These venues provide an elegant high-end atmosphere and impeccable table service.
CFO, Asia of Julius Baer
CFO of CFLD International
Deputy Head Finance Singapore of Julius Baer
Head of Counterparty Credit Risk of ANZ
Head of Program & Finance of Digicel Pacific
VP, Finance of TVS-Asianics Supply Chain Solutions
Asia-Pacific Operations Controller of Air Liquide
Regional Controller Asia Pacific of Roche Diagnostics Asia Pacific
Financial Controller of IPG Mediabrands
Group Finance Director of Digicel Group
General Manager, Finance of CFLD International
Sr Banker & Director Institutional of ANZ
Finance Director Energy BU South Asia of Schneider Electric
Director – Corporate Development and M&A, Corporate Strategy of Tata Communications
Finance Director APAC of Airswift
Director of ANZ
6:30 pm: The arrival of guests and drinks reception
7:00 pm: Introduction by Ortus and short address from HPE/Equinix
7:10 pm: Keynote presentation
7:45 pm: General Q&A
8:00 pm: Discussion instigated by the independent moderator and continued by group
8:45 pm: Mains are served
9:00 pm: Discussion brought to a close and continuation of networking