Artificial Intelligence in Banking Masterclass
AI strategy and infrastructure for banks — from data collection and big-data analytics to client-facing and back-office applications that actually get built.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Very few banks run a conscious, end-to-end data and AI infrastructure — yet banking, with its large balance sheets, heavy compliance burden and richness of data, is exactly where AI bites hardest. The gap between pilot and production is strategy. This masterclass examines best practice at each level of the AI stack: defining the scope of AI initiatives, collecting, cleaning and centralising data, applying big-data analytics, and turning data into client-facing and back-office value. The cohort works through the role of AI within emerging financial technology, global best practice in banking applications, and how to build multi-stakeholder AI partnerships and a dynamic AI ecosystem within the bank.
What you will do
Who attends
- C-level executives, department heads and general managers
- Business intelligence, data and analytics officers
- Financial analysts and decision-makers
- Operations, project and marketing managers
- IT professionals and management consultants
Programme agenda
Built for the decisions no textbook prepares you for
I.AI strategy in banking
- Why banking is at the forefront of the AI transition
- Defining the scope of AI initiatives
- AI within emerging financial technology
II.Data and infrastructure
- Collecting, cleaning and centralising data
- Designing the AI infrastructure
- Big-data analytics in practice
III.Applications and value
- Turning data into client-facing value
- Back-office applications of AI
- Global best practices in banking AI
IV.The AI ecosystem
- Multi-stakeholder AI partnerships
- Products and processes designed for AI
- Building a dynamic AI ecosystem
Frequently asked
Is the AI masterclass technical or strategic?
It approaches AI from the strategy and infrastructure angle: defining the scope of AI initiatives, collecting, cleaning and centralising data, applying big-data analytics, and turning data into client-facing and back-office value. It is designed for C-level executives, business intelligence and data officers, IT professionals and consultants rather than model developers.
What will our bank take away from the course?
Best practice at each level of the AI stack, informed by global banking applications: how to close the gap between pilot and production, how to build multi-stakeholder AI partnerships and a dynamic AI ecosystem within the bank, and how to design products and processes with AI in mind rather than retrofitting it afterwards.
Is it available in-house and in French?
Yes. BIZENIUS delivers the masterclass in English and French, and an in-house edition can be tailored to your bank’s data landscape and AI ambitions. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.
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A senior bench across risk, treasury and regulation.
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.