Upcoming Events

At D&G, our operational teams provide a daily service to our customers, an increasingly complicated task due to regulatory changes. All this activity requires insight and analytical products to help our ops partners support our front-line colleagues to deliver great customer outcomes. Through this talk you will see how we’re using traditional and new technologies to provide information to stakeholders when and where they need it, plus some cool projects that are embedding data products into our customer interactions!

Sam McCouig and Dan Le Marquand

Participants will learn how to: 1. Build empathy for decision-makers and understand the realities behind executive roles. 2. Navigate the context in which senior leaders operate, including time constraints, action orientation, and information overload. 3. Apply practical techniques to communicate with executives more effectively and accelerate decisions, approvals, and stakeholder support.

Katya Kolchina

Dashboards are great at telling us what happened. But when a metric moves, an alert fires or an unexpected trend appears, the next question is usually much harder: why? As part of our Genie Enablement initiative, we’ve been exploring how Databricks Genie agents can help bridge the gap between observing data and investigating it, giving stakeholders an analyst-like experience directly on top of their data. In this session, I’ll share two real-world patterns we’ve developed. The first uses Genie as an automated analyst, triggering investigations when data alerts occur and producing a structured report of what changed, why it may have happened and where stakeholders should focus their attention. The second provides an on-demand analyst, enabling stakeholders to move from trends observed in dashboards to deeper “why” questions through a conversation with their data. Through practical examples and demos, I’ll show how these agents work, how we’ve approached giving them the right business context and investigation logic, and the lessons we’ve learned while building and implementing them. Having completed this session, you will be equipped with the skills and knowledge to identify where Genie agents can add value within your own Databricks environment, understand how to approach automated and on-demand analytical use cases, and apply practical techniques for building agents that deliver relevant and actionable insights.

Maria Apostolopoulou

Having completed this session, you will be equipped with the skills and knowledge to diagnose metric drift in your organisation, extract scattered metric definitions from unstructured sources — Slack conversations, meeting transcripts, presentations, and Jira tickets — using Snowflake Cortex Code (CoCo), and structure them into a format ready for human review and stakeholder sign-off. You will know how to turn approved business logic into a governed Snowflake Semantic View that serves as a single, versioned source of truth for core metrics like Net Revenue, Active Users, and Churn. You will also understand how that semantic layer can power natural-language queries through Snowflake CoWork, giving every user in your organisation consistent answers grounded in approved definitions — regardless of which tool or team they ask from.

Ceren Tahtasiz, Miranda Zachopoulou

Having completed this session, you will be equipped with the knowledge and practical understanding of how Data Governance creates real business value beyond policies, frameworks and documentation. You will explore how effective governance enables trusted decision-making through clear accountability, risk-based controls and data quality management. The session will demonstrate why governance is ultimately about improving outcomes, changing behaviours and enabling confident use of data, particularly in an increasingly AI-driven world.

As AI becomes increasingly embedded in the products, services and decisions that shape our daily lives, understanding how to use it responsibly is more important than ever. This beginner-friendly session provides an accessible introduction to Responsible AI, using practical examples and interactive scenarios to bring key concepts to life. Together, we'll explore common risks and ethical challenges, and discuss how principles such as fairness, transparency, privacy, accountability and human oversight can help organisations build and use AI responsibly. You'll leave with a better understanding of Responsible AI and some practical tools and questions you can apply in your own role, whatever your level of technical expertise.

Alice Genevois and Suzanne Brink