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Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

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Our Platform

Expert-led content

100's of expert presented, on-demand video modules

Learning analytics

Keep track of learning progress with our comprehensive data

Interactive learning

Engage with our video hotspots and knowledge check-ins

Testing and certifications

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

Connect Data Unlocked to your current platform

Featured Content

Featured Content

Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

Featured Content

Ready to get started?

Ready to get started?

Certificate of completion issued to

Timm Niccolo Schäfer

For completing

AI and Data Foundations for Financial Services Course

Completion date

26 Mar 2025

Delivered by

Accredited for

4 CPD credits

Certificate ID

91e4fea6293db74d0b452f5bb0b51fae

Join now to learn

Our tracks are only available to subscribers. Access this and 100s of other tracks by signing up.

About AI and Data Foundations for Financial Services Course

3 Pathways

18 Video modules

4 hours of learning

This comprehensive course combines three expert-led pathways to equip learners with the knowledge and skills to thrive in an AI-driven financial landscape. It covers the essentials of data science and AI in finance, practical applications of machine learning, and the integration of AI into business strategies. By bridging technical understanding with strategic insights, this program prepares participants to lead data-driven transformations responsibly and effectively.

In this course

Understand AI, data science, and machine learning fundamentals.

Explore practical applications of AI in finance.

Build strategies for ethical and effective AI adoption.

Navigate regulatory and governance challenges.

Drive innovation and improve operational efficiency.

Course experts

Hans-Kristian Bryn

Hans-Kristian Bryn

35 years: Strategic risk management and governance

Hans-Kristian Bryn is a strategic risk and governance advisor with over 20 years of partner level advisory experience. He is currently a senior advisor to Boards and ExCo's listed on the FTSE 100 & FTSE 250 on risk management and governance related matters. Prior to private advisory, Hans was a partner at firms such as Oliver Wyman and PwC and worked across a wide range of sectors.

Carlos Salas

Carlos Salas

Portfolio Manager and Data Scientist

Carlos Salas is a professional investor passionate about the lifelong development of an investment process that blends man and machine. Over the last 15 years, he has worked in investment roles for firms such as Santander AM, BNP Paribas, Jefferies, and LCAM. He is currently pursuing three careers simultaneously - as an investment manager, consultant and lecturer.

Elizabeth Stanley

Elizabeth Stanley

Data Scientist and Engineer: 10 years

Elizabeth Stanley is a dynamic engineering innovator, with a specialisation in Bioengineering, with a robust background in research, teaching. She excels in embedded systems, computational modelling, with a proficiency in data analysis, visualisation and machine learning. She currently serves as the Head Facilitator and Program Lead at ExploreAI Academy and she is very dedicated to advancing bioengineering and data science, actively engaging in groundbreaking research and empowering the next generation of African engineers and data scientists through comprehensive education and mentorship.

Matt Lewis

Matt Lewis

Data Consultant: 5 years

Matt Lewis works as a consultant in the data space for 5 years, after he moved from the academic world to the world of data. He has helped clients in several domains, and with varying degrees of digital and data maturity, get to grips with their data and find ways to extract business value from it. Currently, as a program lead at Sand Technologies, he focuses on guiding a UK-based client in the water/wastewater sector, developing a value proposition for prospective clients, and mentoring junior managers in product development. His work involves collaborating with stakeholders up to the Director level to enhance business processes through data-driven solutions. He also holds a doctoral degree in Zoology and Animal Biology from the University of Cape Town.

Paul dos Santos

Paul dos Santos

5 years: Senior AI Engineer

Paul dos Santos is a data professional with over a decade of experience, currently working as a Senior AI Engineer for Imagimob (an Infineon company). With a background in Geographic Information Science, he has developed AI systems across various industries, including consulting, manufacturing, social impact, and healthcare, using advanced data science techniques.