The best digital innovation practices condensed

Artificial intelligence is no longer just a technological trend. Its impact is already being felt in a wide range of areas, from business process optimisation to content creation and decision support. However, behind the hype, one reality is clear: AI will not adapt to your business on its own.

Understand before you adopt: While GenAI offers unprecedented opportunities, its deployment raises fundamental questions: what are its real limits? What biases might it introduce? What are the risks to data security and confidentiality? Businesses need to move beyond the ‘black box’ effect and develop a genuine maturity around AI by mastering its mechanisms and accurately assessing its impact.

Test, adjust, secure: The most advanced AI organisations are those that have been able to integrate an iterative approach: experimenting with concrete use cases, refining models in line with user feedback and setting up rigorous performance monitoring. Far from a fixed deployment, AI needs to evolve continuously in line with the needs of the business and its ecosystem. The latest report from OWASP highlights the specific vulnerabilities of generative AI models, underlining the importance of appropriate protection mechanisms.

Towards tailor-made, controlled AI: In the previous issue, we discussed the need for proactive regulation with the AI Act. This need for control and adaptation is also reflected in the operational implementation of AI: an ‘off-the-shelf’ approach is not enough. Integration with existing systems, optimising models for specific business uses and setting up real-time monitoring are all ways of maximising the effectiveness of AI while reducing its risks. According to the experts, advanced customisation can generate efficiency gains of up to 80%.

This issue of Shortcut offers you solutions, resources and insights to tackle these issues in a pragmatic and actionable way.