AI-Driven Automation
£410.00 excl TAX
Judges will be looking for:
- Detailed discussion of project goals, importance, achievements and successful results
- Demonstration of cutting-edge and fit-for-purpose technology was correctly and effectively used
- Illustration of training and upskilling team & working closely with stakeholders to deliver the project on time and within budget
- Evidence and evaluation of overcoming project challenges/obstacles
- Evidence of commitment to promoting diversity and creating an inclusive culture in the project team
Judges will be looking for:
- Challenge Addressed– Clear articulation of the problem or inefficiency the automation aimed to solve.
- Use of AI/ML– How AI techniques (e.g. machine learning, NLP, reinforcement learning) were applied to enable smarter automation.
- Impact– Evidence of tangible improvements such as faster deployment cycles, reduced incidents, increased stability, or operational cost savings.
- Integration– How well the automation fits within existing DevOps workflows, toolchains, or pipelines.
- Trust & Governance– Considerations around responsible use of AI, including explainability, data quality, and bias mitigation.