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AI and Data Foundations for Financial Services

Discover how data science, machine learning, and AI are transforming financial services. This program equips professionals with the skills to harness these technologies for efficiency, innovation, improved risk management, and ethical, data-driven decision-making.

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Generative AI Foundations

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Incorporating AI Into Business Strategy

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Transform Your Business With AI

6 Learning modules • 57 minutes

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Data & AI for Climate Action

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Blockchain Governance

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Applications of Data Science & Machine Learning in Finance

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Finance

Introduction to Data Science in Finance

Machine learning, artificial intelligence, supervised learning, clustering... there are a lot of data science terms and not much clarity. However, these concepts are becoming increasingly more common in our technological society. Join Carlos Salas as he breaks down what these concepts mean and their application in finance.

Carlos Salas • 11:21

Finance

Introduction to Data and AI

In this video, Elizabeth explores the transformative impact of data science, big data, and AI on the finance industry, highlighting innovations such as AI-driven fraud detection and personalized customer service. She delves into the essential concepts of these technologies, their roles in decision-making, and their broader societal implications, providing valuable insights for anyone looking to understand the future of finance.

Elizabeth Stanley • 10:46

Cybersecurity

Digital Authentication Introduction

Every time we buy online, post on social media or send a work email, we're using some form of personal identification. But how do the companies know if it's really us doing these things or an imposter? Your password is a good start. In this video, Ciarán Rooney lays the groundwork on digital authentication, from how the concept of passwords came to be and how we measure how good a password is.

Ciaran Rooney • 07:40

GDPR

Types of Data and Data Privacy

The media often talks about privacy in the Fintech world. In this video in the series on Fintech Data, Marta answers key privacy questions, including what anonymised data is, what pseudonymised data is and what the advantages of using pseudonymised data are.

Marta Dunphy-Moriel • 07:54

Finance

Types of Machine Learning Models

The choice machine learning model is dependent on the specifics of the problem and the data at hand. Join Carlos Salas as he guides you through the differences between supervised and unsupervised machine learning models, including principal component analysis, generalised linear models and support vector machines.

Carlos Salas • 09:05

Blockchain

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits. He further explains what smart contracts are and how we can overcome the limitations of smart contracts.

James Burnie • 12:04

Climate

Accelerating Climate Action with AI

Climate-related data is booming. More organisations are publishing data related to their net zero targets and sustainability commitments. But how can we track it all? Join James Zhang as he explains how artificial intelligence is solving climate data challenges.

James Zhang • 11:14

Finance

AXA Machine Learning Case Study

Let’s see how an insurance company used machine learning model training. Join Carlos Salas as he explores how data science and machine learning can be used in finance to enhance insurance underwriting.

Carlos Salas • 06:36

Cybersecurity

Email Encryption Techniques

Now you understand the basics of cryptography, you can learn how it is applied to email encryption. Join Ciarán Rooney in this video as he explains why it is needed, the different stages at which a mail can be intercepted and the standards used for email encryption today.

Ciaran Rooney • 10:45

GDPR

Implementing GDPR Privacy Compliance

In this video Punit outlines three crucial steps to implementing privacy compliance in your company. The first being to set up a strong foundation, for example appointing a DPO. Secondly, manage different actions that help compliance with various requirements of GDPR with a checklist. Thirdly, ensure it is sustainable.

Punit Bhatia • 10:11

Maths

The Geometric Mean

Abdulla outlines how to use and calculate the geometric average or geometric mean, also referred to as CAGR- the compounded average growth rate.

Abdulla Javeri • 04:41

Finance

Your Role in a Data or AI Project

In this video, Paul explains the essential elements for successful AI projects in financial services, covering the importance of clear goals, realistic expectations, and strong data strategies. He highlights key warning signs, such as overambitious goals and poor data quality, that can jeopardise project success. He also discusses the crucial role of non-practitioners in evaluating AI initiatives, emphasising their responsibility to bridge technical and business teams. By collaborating with AI experts and prioritising ethical and legal considerations, non-practitioners can support AI projects that deliver value aligned with organisational goals.

Paul dos Santos • 09:55