InfoSec (information security) professionals are facing cyber threats that are increasing in both volume and complexity. Over the past year many discussions have taken place with security leaders about the application of Artificial Intelligence (AI) in InfoSec. Those discussions have highlighted a level of confusion concerning AI concepts. Specifically this confusion concerns the differences between Machine Learning (ML) and AI, and also raises the question, “What is Deep Learning?”.
This session will explore how to build artificial intelligent systems for InfoSec. With evolving attacks, we need a system that can continuously collect analyst input, incorporate the input and learn/adapt models that can mimic analysts. We will explore what kind of input from analysts is needed, how models can be learnt and adapted, how to utilize analyst time effectively and how to measure efficacy of such systems.
Education: Blockchain 101 – An introduction to mutual distributed ledgers without the cryptocurrencies
Professor Michael Mainelli will set out swiftly the basics of mutual distributed ledger (aka blockchain) technology. The session will cover some quick basics of ledgers as well as the role of hashing, cryptography, and peer-to-peer databases in the field. Michael will show some mutual distributed ledgers applications in action for clinical trials and insurance, as well as some proof-of-concepts in trading, identity, KYC & AML. He will emphasise the economic and structural implications of the technology and provide a framework for later discussions at Sibos.
FinTech dates to the arrival of the credit card, book-entry trade settlement, and ATMs in the late 1960s.
Identifying and retaining workplace contributors is critical in FinTech. Yet firms are struggling to fill their talent pipeline with qualified young professionals and future leaders. Millennials born between 1980 and 2000 are the largest generation in the workforce today, and leading companies have crafted novel strategies for bringing them into their organizations and developing their capabilities.
Finance just doesn’t run on data, it is data. And in the digital age, governments want access to financial data because it can illuminate behavioral patterns and yield actionable information to map the illicit economy and terrorist networks. Where state demands for financial data have grown, data privacy law has also become more assertive. The EU’s 4th Anti-Money Laundering Directive (4AMLD) requires financial institutions to apply the General Data Protection Regulation (GDPR) in their AML/CTF programs.
The recent announcement of the newer version of the payment systems directive (PSD2) to be implemented in 2018 across Europe, as well as the open banking initiative in the UK (OBWG), push towards the creation of an open-banking environment through the introduction of open application programming interfaces (APIs). But many questions still remain. What changes will APIs bring to banks' competitive position in the market?
Understanding the impact of technological and business model innovations on enhancing financial inclusion is critical to generating equitable economic growth and reducing poverty. Ground-breaking research from the Harvard Kennedy School – supported by the SWIFT Institute – examines the explosion of mobile financial services in Kenya, increasingly referred to as the “Silicon Savannah,” to illustrate the promise and perils this technology holds in overcoming geographic, demographic, and institutional constraints to financial inclusion.
Earlier this year the SWIFT Institute launched a new competition targeting university students. The 2016 SWIFT Institute Challenge focused on remittances via banks. Applicants were required to identify a solution that would enable a bank customer to send money cross-border, via their own bank to an individual in a country where there is little or no banking infrastructure. The winning team, voted on by the SWIFT London Business Forum audience in April this year, are from the UK's Warwick Business School at the University of Warwick.
Following its great success at Sibos Singapore in 2015, the second annual Sibos quiz show partners' university academics with financial industry professionals for a battle of wits. The quiz will feature two teams of experts answering questions on their own areas of expertise, as well as other areas where they may not be so well versed. Each team will be led by a captain of academia, with two supporting "stars" from the financial industry. Just how smart are academics and financial industry professionals? Come along and find out!