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Generative AI
Cloud
Testing
Artificial intelligence
Security
June 10, 2026
Featuring Joakim Wahlqvist, the session provided practical, real-world insights into how organisations are implementing and scaling AI across industries.
A key focus of the event was one of the most pressing challenges organisations face today: how to move AI from proof of concept into full-scale production.
Joakim shared perspectives on how leading organisations are successfully scaling AI by aligning technology initiatives with clear business outcomes. The discussion emphasised the importance of adopting a structured, value-driven approach that ensures AI delivers measurable and sustainable impact.
Throughout the session, several key themes emerged:
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Attendees also had the opportunity to explore a real-world AI case study demonstrating how a structured and iterative approach can successfully take AI initiatives from early experimentation through to full deployment.
This example illustrated the importance of prioritising business value, integrating data effectively and delivering solutions incrementally to ensure long-term success.
The session concluded with an interactive Q&A led by Paul Gilbride, Director of Data & AI at Sogeti Ireland. This provided an opportunity for attendees to engage directly with the speakers, share perspectives, and explore practical challenges and opportunities within their own organisations.
The discussion sparked insightful conversations and reinforced the growing importance of collaboration and knowledge sharing in the AI space.
Watch our short video recap below to hear directly from our speakers and relive some of the key moments from the day’s key moments.
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Discover how AI can unlock the business knowledge in legacy applications and transform them into intelligent, AI-ready assets.
In this blog, Andrew Fullen, a director at Sogeti working across Quality Engineering, SAP, and AI and one of the authors of the State of Worldwide Business Assurance for SAP Solutions report, draws on the report’s findings to examine whether organizations have turned their SAP transformation ambitions into action and where execution is still falling short.
Every instinct says cover everything. A language model accepts any sentence a human can type, in any language, in any order, so the space of things to test is not large, it is infinite. And the reflex is to try anyway: more prompts, more adversarial examples, more red-team hours, thrown at every risk at once. Skipping any of it feels like leaving a door open, and worse, like the omission you will personally be blamed for.
