Kick-start your AI Journey: How do you select the AI use-cases to meet your organisation goals and vision? How do you bring the right data, tools and people together to realize your AI vision.

Empowering Data Science Teams: How can you improve the accuracy and effectiveness of models to drive superior outcomes in business critical applications?

Enhancing Data Science Teams with Advanced Tools: What are  the best practices for equipping data scientists with tools like MLBot to automatically select the most suitable algorithms for specific datasets and model objectives, thereby streamlining the model development process?

Building a Robust Data Platform: How do you develop a data platform capable of managing enterprise data at a petabyte scale, tailored to support complex and sophisticated AI tasks?

Secured Deployment for Open Source Language Models: What are the key considerations for providing a secure and efficient pathway to production for deploying Open Source Language Models (OSS LLMs), including customizations tailored to enterprise needs and detailed fine-tuning for Retrieval-Augmented Generation (RAG) applications?