Most AI agent systems fail not because the models are weak, but because they lack an operational foundation. This session explains AgentOps around two core pillars: MLflow as the system of record for agent lifecycle management, and an AI Gateway as the control plane for routing, governance, and cost management. We will explore how to […]
Generative AI is transforming industries by enabling businesses to create content, automate decision-making, and enhance user experiences. But how can organizations effectively build and deploy AI-powered solutions while maintaining security, efficiency, and scalability? In this session, we will explore the fundamentals of Generative AI models, their real-world applications, and how they can be leveraged to […]
As global financial platforms evolve, the “Trust Gap” becomes an engineering challenge. Scaling a product to millions of users requires more than just better models—it requires a fundamental shift from manual heuristics to automated, high-fidelity intelligence. We’re moving beyond the basics of model training to explore the “Last Mile” of production ML: the infrastructure of […]
When does it make sense to run your own LLM inference infrastructure instead of paying per-token to third-party APIs like OpenAI or Anthropic? This session gives you a practical framework for that decision and the technical foundations to execute it. We’ll ground everything in three concrete use cases – interactive chat, batch document processing, and […]
For well over 50 years, our machines, our data, and our (private/working) lives have coexisted in well-insulated boxes. However, the emergent behaviours of AI and robotics, along with our needs as individuals and a society, demand a full symbiosis if we are to succeed in a future where technology-driven change maintains its exponential growth. So […]
Google Trends data is messy. It’s normalised, it’s abstracted and it’s aggregated to a very coarse layer. In this talk we’ll discuss how to turn Google Trends snapshot into large datasets you can actually use to compare terms across countries in a meaningful way by using a chaining methodology and borrowing tech from the world […]
Data scientists are deeply invested in producing trustworthy insights but as AI becomes more powerful and autonomous we’re being confronted with the question: How do we know our insights are truly reliable? While explainable AI techniques have helped make black-box models more interpretable, interpretability alone doesn’t guarantee trustworthiness. In this talk, we’ll explore why trustworthy […]
Recommender systems sit behind almost every feed and “For You” page, yet most teams still optimise them for a narrow set of metrics like CTR or watch time. The result is a gap between what dashboards say is “good” and what users, regulators and society actually care about: satisfaction, trust, and not being trapped in […]
While most enterprise AI projects start with excitement, only 20% survive the move from demo to production. This updated session evolves the “Beyond Benchmarks” framework for 2026, moving beyond text-only RAG to address the complexities of multimodal and agentic systems. We will explore how to measure success when AI interacts with images and complex documents, […]