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Generative AI
Cloud
Testing
Artificial intelligence
Security
From POCs to Enterprise Adoption of Gen AI
As your organization navigates the evolving landscape of Generative AI, the journey from proof-of-concepts to full-scale enterprise adoption brings a unique set of challenges. In our State-of-the-Art session, Joakim Wahlqvist, Sogeti Global CTO for AI, explored the critical aspects that can make or break your AI initiatives, including Trust, Risk, and Security Management (TRiSM), Organizational Knowledge, Agency, and Scalability.Joakim shared actionable insights and real-world examples on how to advance rapidly and effectively in the GenAI domain while maintaining control and trust at every step. Participants discovered how our Trusted AI Framework and meticulously refined processes are designed to help organizations harness the power of GenAI with confidence.Attendees learned how to:1. Seamlessly scale AI solutions from small pilots to robust enterprise applications.2. Foster business adoption by integrating AI seamlessly into existing workflows.3. Build and sustain trust in AI systems, ensuring transparency, security, and ethical alignment.Whether starting with AI or scaling existing projects, this talk provided a holistic perspective on aligning IT and business strategies, ensuring that AI initiatives not only succeed but thrive in today’s competitive environment. Together, we embraced the future of AI with a comprehensive approach that empowers organizations to achieve new heights of innovation and efficiency.
Combining Human & Machine for more Sustainable AI Technology
In the near future, Smart Agriculture, Urban Planning or Renewable Energy will combine Human and Machine to operate efficient, sustainable technologies.Our understanding of new interaction between human and machine, and latest technologies unlocking agentic, action-oriented AI are shifting the boundaries, redefining the shapes of our solutions, and innovating in the white space.
In this State-of-the-Art session, Pierre-Olivier Patin, Sogeti Global CTO for Apps & Cloud Technologies and Paul Lasserre, AWS Head of GenAI partnerships, shared insights on:
Together, we embraced the future of a more sustainable world, respectful of our resources and centered around human, empowered with the latest disruptive technologies.
Unlocking True Productivity in Software Creation and Quality Engineering with Gen AI
In today’s fast-paced digital landscape, improving productivity in software development and quality engineering is crucial. In our transformative State-of-the-Art session, Antoine Aymer, Sogeti Global CTO for Quality Engineering & Testing, presented how Generative AI (GenAI) can redefine productivity and quality in the Software Development Life Cycle (SDLC).The session Featured an immersive demonstration of five distinct personas – Product Manager, UX Designer / Analyst, Developer, QA Engineer, and Cloud / DevOps Engineer – showcasing their enhanced day-to-day activities through a Gen AI platform.– Product Manager: Streamlined requirement gathering and project planning.– UX Designer/Analyst: Accelerated design prototyping and user research analysis.– Developer: Improved code generation and integration.– QA Engineer: Enhanced automated testing and bug detection.– Cloud/DevOps Engineer: Efficient deployment, monitoring, and continuous integration.Through these demonstrations, attendees witnessed firsthand how Gen AI can augment, accelerate, and improve the fidelity of each persona’s tasks. The seamless handoffs between roles illustrated a cohesive and efficient workflow, highlighting the productivity gains achievable with Gen AI.The presentation inspired the audience with the art-of-the-possible, grounded in measurable productivity improvements. By showcasing real-world applications and quantifiable benefits, Antoine provided valuable insights into how organizations can harness Gen AI to unlock new levels of efficiency, innovation, and quality in their software development processes.
Executive Event Planner, Sogeti