Wealth Management
Retail Banking
Small Business Banking
Insurance
Private Banking
Corporate Banking
Build AI capability across leadership, technical, and non-technical teams
Develop agentic AI systems from discovery and pilot through to production
Neurons Lab achieves the AWS AI Competency in Agentic AI — recognising our work bridging AI potential and Financial Services reality, from pilot to production.
We explore advanced attack techniques against LLMs, then explain how to mitigate these risks using external AI guardrails and safety procedures.
We cover some of the most common potential types of attacks on LLMs, explaining how to mitigate the risks with security measures and safety-first principles.
Generative AI is set to play an important role in the banking sector. AI and machine learning are already playing crucial roles.
Integrating knowledge graphs with RAG systems creates a powerful hybrid known as G-RAG, mitigating issues like hallucination in LLMs.
Some specific formulas to build a realistic case around ROI in AI, the required amount of work, timelines, and how to measure it.
An overview of how to build a Cloud-based AI engineer capable of writing, testing, and executing code.
Many of Amazon’s AWS services, such as Amazon Titan, also include multimodal AI capabilities. We explore the use cases for enterprises.
Don’t know where to start with AI integration in gaming? We can help you identify the opportunities with the highest added value.
LLMs are often augmented with external memory via RAG architecture. LLM agents extend this concept to memory, reasoning, tools, answers, and actions.
AI integration in insurance has become a fundamental part of digital transformation. AI applications – and their benefits – have evolved.
Alexandra Brytova sits down with Alex Honchar. Together, they discuss the game-changing potential of generative AI for enterprises.
Discover how to prototype and deploy a chatbot on AWS ECS Fargate with the Neurons Lab team in this detailed guide.
