AI Magazine November 2024 | Page 24

EXECUTIVE INSIGHT
indicators , such as customer satisfaction , retention and productivity . We also provide ongoing support and guidance to help our customers optimise and scale their solutions and to enable continuous learning and improvement .
Q . WHAT CHALLENGES ARE THERE IN IMPLEMENTING A DIGITAL TRANSFORMATION AND AI TECHNOLOGIES INTO MORE HEAVILY REGULATED BUSINESSES LIKE FINANCE ?

ยป One of the main challenges in implementing AI technologies into more heavily regulated businesses like financial services is building a culture of testing , change and adoption among employees . This requires a strong commitment to learning as well as a willingness to embrace new ways of working and collaborating .

Copilot is designed to integrate seamlessly into existing workflows and to provide personalised suggestions that improve over time . By using Copilot regularly , employees can develop new skills , explore new possibilities and overcome any hurdles that may arise from using AI in financial services .
To address this challenge , we partner with our customers to co-create solutions that are aligned with their business objectives , their regulatory environment and their values . We also leverage our own expertise and best practices in areas such as data privacy , security , governance , to help our customers design and implement AI solutions that are beneficial for their stakeholders .
I believe that , by embedding these principles into our digital transformation and AI offerings , we can help our customers achieve both compliance and competitive advantage in the financial sector .
Ultimately , however , in order to reap the benefits of implementing AI , the financial services sector needs to adopt a top-down approach to AI transformation , focusing on structural change and leadership advocacy . AI champions need to ensure that their leaders understand the potential of AI
24 November 2024