Artificial Intelligence, Big Data and Machine Learning for Banks & Financial Institutions
An organisational strategy for AI and big data in financial institutions — data foundations, valuation techniques, regulatory constraints and the capabilities needed to execute.
Format
Classroom · Virtual
Upcoming sessions
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Financial institutions sit on more data than almost any other industry, yet most extract a fraction of its value — and regulation such as GDPR raises the cost of getting it wrong. This masterclass gives banking leaders a working command of AI, big data and machine learning: the key advances in data science, the mechanics of collecting, cleaning, centralising and connecting data, and how analytics creates value across customer service, risk management, fraud prevention, investment prediction and cybersecurity. The cohort works through the design of an organisational big data strategy, the scoping of AI initiatives and an honest evaluation of the skills their institution actually has.
What you will do
Who attends
- General managers and business development executives
- Investment, commercial and retail bankers
- Heads of digital banking, operations and projects
- Heads of data protection, privacy and information security
- Risk and cybersecurity managers
Programme agenda
Built for the decisions no textbook prepares you for
I.The AI and data landscape
- Key advances in data science and AI
- How analytics, big data and AI create value in financial institutions
- Core big data and machine learning concepts
II.Data foundations
- Collecting, cleaning, centralising and connecting data
- Key aspects of a successful big data strategy
- Regulatory compliance across multiple jurisdictions, including GDPR
III.From data to value
- Valuation techniques using advanced data science
- Turning data into client-facing value with AI
- Applications of data science across financial services
IV.Executing the strategy
- Defining the scope of AI initiatives
- Building a dynamic AI ecosystem from machine learning applications
- Skills, capabilities and HR challenges of data management
Frequently asked
Do I need a technical background to attend?
No — the masterclass is built to give banking leaders a working command of AI, big data and machine learning. It concentrates on strategy, data foundations, valuation techniques and an honest audit of the skills and capabilities your institution actually has, rather than on programming.
What does the programme cover?
It works through the key advances in data science, the mechanics of collecting, cleaning, centralising and connecting data, and how analytics creates value across customer service, risk management, fraud prevention, investment prediction and cybersecurity. The cohort designs an organisational big data strategy and scopes AI initiatives for their own institution.
Does the course address GDPR and data regulation?
Yes — regulatory compliance across multiple jurisdictions, including GDPR’s constraints on data use, is covered as part of the strategy work. This is professional training, not legal advice; your institution’s own counsel should validate regulatory positions.
Is the masterclass 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 institution’s data landscape and priorities. Sessions run on a rolling calendar with dates confirmed on request, and fees and quotations are provided on enquiry.
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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.