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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?

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?

Operational Risk

Operational Risk

Operational Risk

In banking, operational risk refers to non-financial and non-market risk. Mitigating operational risk covers the risks posed by a vast range of potential activities: the robustness of business models to changing business, technology and demographic conditions, internal business and compliance processes, regulatory risk reporting, the governance framework, activities of employees (fraud, mis-selling, circumventing anti-money-laundering controls etc.), client on-boarding, vendor risk, and risks posed by IT architecture (vulnerability to system fails or cyber attacks). The quality of operational risk management has been improved by the application of Big Data, Artificial Intelligence, machine learning, automation and advanced risk analytics. These are transforming operational risk management from a by-definition backward-looking process to an exercise in real-time monitoring and operational risk prevention.

Related terms