AI and machine learning systems: development and management

  • AI and machine learning
View Agenda

Key reasons to attend

  • Understand artificial intelligence (AI) and machine learning security risks in banking
  • Discuss ethical considerations and maintaining regulatory compliance
  • Explore common security challenges related to AI and machine learning 

Find out more

Customised solutions

Does your team require a tailored learning solution on this or any other topic?

Working with the portfolio of expert tutors and’s editorial team, we can develop and deliver a customised learning to make the most impact for your team, from initial assessment to final review. 

Find out more

About the course

Join this interactive learning experience to enhance your knowledge of the rapidly evolving space of AI and machine learning systems and the related security risks in banking.

Participants will delve into the nuances of AI and machine learning security risks in banking through understanding the foundation of a secure model, maintaining compliance and developing a plans for possible security breaches. Guided by expert tutors, participants will discuss the ethical considerations related to AI and machine learning use in banking and identify the goals for their institution when selecting models and tools based on their specific uses.

Sessions will address the uncertainty around regulations and the impact on data quality and transparency to aid participants in their AI and machine learning integration. Identification of signs of security breaches and strengthening cybersercurity best practices will give participants the tools needed for successful use of AI and machine learning systems.

Pricing options:

  • Early-bird rate: save up to $800 per person by booking in advance (refer to the booking section for the deadline)
  • 3-for-2 rate: save over $2,000 by booking a group of three attendees (applicable to this course)
  • Subscriber reward: save 30% off the standard rate if you are a subscriber (use code SUB30)
  • Season tickets: save over $1,000 per person by booking 10 or more tickets (available on selection of courses)

*The 30% subscriber reward discount is applicable only to current subscribers. If this criteria is not met, we reserve the right to cancel the booking and issue an invoice for the correct rate. Discounts cannot be applied to already registered participants.

Learning objectives

  • Incorporate security best practices for open-source AI
  • Integrate ethical considerations and evolving regulations
  • Size data for model training
  • Identify signs of security breaches in open-source tools
  • Ensure secure model development

Who should attend

Relevant departments may include, but are not limited to:

  • Heads of machine learning engineering
  • Chief technology officers
  • Chief information officers
  • Junior engineers
  • Programmers
  • Machine learning
  • Data science
  • Quantitative analytics
  • AI 


July 23–25, 2024

Live online. Timezones: Emea/Americas


  • Introduction to artificial intelligence (AI) and machine learning security risks in banking
  • Building a secure foundation for the use of AI and machine learning
  • Managing AI and machine learning security breaches
  • Data governance
  • Technology considerations and risks
  • Assessing cybersecurity risks in AI systems in practice

Request detailed agenda


Jos Gheerardyn

Founder and CEO

View bio

Jos Gheerardyn is at the forefront of revolutionising FinTech as the CEO and co-founder of, an award-winning AI platform dedicated to model risk management and the first platform utilising AI for real-time model testing and validation on an enterprise scale. Passionate about algorithm monitoring, testing, and validation, Jos is an advocate for model risk governance and strategy and has 18 years of post-PhD experience in the financial services industry. Prior to his current role, he was active in quantitative finance both as a manager and an analyst. He has worked with leading international investment banks as well as with award winning start-up companies. He is the author of multiple patents applying quantitative risk management techniques on imbalance markets. Jos’ academic foundation is robust, holding a PhD in theoretical physics with a focus on superstring theory from the University of Leuven.

Antony Hibbert

AI Governance Expert

ING Bank

View bio

Antony is an AI Governance Expert at ING Bank, specializing in data protection (19+ years), cybersecurity (15+ years), risk management (4+ years), and ethics (4+ years) in the AI domain. With a background in both law and cybersecurity, he focuses on keeping the AI department at ING out of trouble and keeping the trust of its customers. He speaks regularly at international conferences about data protection and cybersecurity, like #Risk, Amsterdam. As an experienced AI Governance Expert, Antony has helped financial services and tech companies bring order to the chaos, by navigating the path to responsible AI.  Currently based in the Netherlands, he has had great adventure in moving here from my hometown situated on the north coast of Australia, via the long route of London and Frankfurt. 

Daryan Dehghanpisheh


Protect AI

View bio

Daryan is a senior executive with 20+ years of experience in technology & strategy. He has a demonstrated history of success leading teams in industries ranging from telecom to finance. Highly skilled and qualified in Management, Leadership, Strategy and Technology, he is currently leading and hiring experts in AI and ML, industry leading business development experts, and digital marketing mavens. Let’s chat, if your interests are on the most bleeding edge of technology, AI, ML, and data technologies.

Sri Krishnamurthy

Chief data scientist and founder


View bio

Sri is the chief data scientist and found of QuantUniversity, a data science and machine learning advisory. He is currently an AI and machine learning speaker, writer and leader and an expert on AI and model governance and adoption of machine learning in large enterprises. He started his career in the financial space over 18 years ago at Citigroup. 

Sri is an adjust faculty member at Northeastern University, Babson College and Hult International Business School. He is an innovative and successful new business developer helping launch several significant, revenue-generating quantitative finance & Fintech applications. Sri is apart of the Chartered Financial Analyst Society of Boston as a member of the board of directors and was inducted as a Certified Analytics Professional (CAP) by The Institute for Operations Research and the Management Sciences(INFORMS).


Andrew Paquin

Senior Director


View bio

As the Senior Director at Slalom focused on Top Financial Firms in New York, Andrew is focused on delivering outcomes at the highest levels of organizations. He has more than 30 years of global account financial services technology experience and holds a patent in AI. 

Andrew’s mission is to drive revenue, develop talent, and ensure successful customer outcomes. He leverages his AI expertise and business review skills to move AWS, Google, MSFT, Databricks, Snowflake ,Salesforce and others up-market as these solutions help his clients . He also cultivates a culture of teamwork and employee growth, applying a process-oriented style of leadership and learning from the best customers and technologists on Wall Street. Andrew is a driven and ambitious leader who outside of work, loves fishing, boating, snowboarding and large dinners with his family and friends.

Pre-reading materials

The resources below have been selected to enhance your learning experience:

A subscription will provide you access to these articles. Alternatively, register for free to read two news articles a month.


July 23–25, 2024

Online, Emea/Americas



Early-bird Price

Ends June 21
Book now

Enquire about:

  • Agenda and registration process
  • Group booking rates
  • Customisation of this programme
  • Season tickets options

Contact us

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here