The challenge  

GEN AI presents vast opportunity, successful implementation of Gen AI is contingent on rigorous training and testing, often hindered by a scarcity of high-quality, real-world, relevant data. 

How could this Uk Tier 1 bank successfully provide sufficient safe, diverse and representative data to power a 2-day Gen-AI/LLM testing hackathon event in November 2023?  

The solution 

Agent-based (AI-simulated) synthetic data has emerged as a scalable solution for effectively training and testing Gen AI, including LLM capabilities and technologies.  

Synthetic data, generated by the aizle platform, powered the hackathon, enabling rapid experimentation with real-world scenarios without compromising data privacy or security.  

The results 

The hackathon was a big success, generating practical feedback & new ideas around Gen AI tech explored. All tests were conducted rapidly and with ease.  

Key to success was the rapid accessibility of synthetic data, facilitating fast experimentation and accelerating innovation while overcoming governance challenges associated with traditional data access.