How should organisations prepare for the evolution of AI investment as it and businesses change ?
Manu Gopinath , Chief Operating Officer at UST : Organisations will need to fine-tune existing AI models for specific use cases and invest in AI talent and training , starting with developing a clear AI strategy , outlining how AI will drive value , improve operations , and enhance our competitiveness . It is crucial to start with specific use cases with the most immediate and measurable impact . Equally important is establishing robust data governance practices to ensure the quality and security of the data feeding our AI systems .
Brian Diffin , EVP , CTO at Wolters Kluwer Tax & Accounting : Organisations will need to definitely upskill to make sure they have the human resource capacity to take advantage of the various AI technologies . Equally , they will also have to develop and govern an AI Ethical and Safety
“ We can see an increased focus on internal processes and productivity for enterprise customers ”
MANU GOPINATH , CHIEF OPERATING OFFICER AT UST
framework to make sure a plethora of risks are mitigated . Risks include introducing bias in algorithms or training data , producing inaccurate results or answers , hallucinations or unexplainable emergent properties , security risks , IP theft risks , and compliance risks . There is a very tight balance for all businesses leveraging AI to be nimble and agile , but also be safe and controlled .
190 January 2025