Deloitte presents: It’s a no-go without governance with Databricks
Description
Many organisations are trying to understand how data and AI can deliver real value for New Zealand. Beyond the buzzwords, real impact comes from deliberate choices. From big-picture strategy to hands-on delivery, human judgement and experience transform complex data into solutions that improve businesses and communities.
What to expect:
Whether you’re interested in how data and AI can support better decisions or stronger services for a more innovative Aotearoa, you’ll leave with practical ideas, a fresh perspective, and new connections. |
Speakers
Tristana Bessler
Databricks Tristana leads Public Sector for Databricks in New Zealand, working with more than 30 organisations across all stages of their digital transformation journeys. While many change programmes focus on technical governance, her expertise lies in the people side of transformation—capability uplift, enablement, communication, and psychological safety. She brings real-world insights into what leaders and teams must actively prioritise to set digital transformation up for lasting success, informed by lessons from what has worked and what hasn’t.
Sonia Wang
Deloitte Sonia is a Specialist Senior in Deloitte New Zealand’s AI and Data practice. She specialises in data modernisation, helping organisations move legacy systems to the cloud and build scalable, future-ready solutions. With expertise in Snowflake, Databricks, and Microsoft Azure, Sonia works across data modelling, engineering, and visualisation to drive better decision-making for her clients. She is also an active member of Deloitte’s Women in Technology network, supporting diversity and inclusion within the tech industry.
Lisa Voorwinde
University of Otago Lisa is a Senior Analyst at the University of Otago, working at the intersection of data, systems, and people. She has played a key role in the Data Foundations project, helping design and deliver a modern Databricks-based data platform that transforms complex source systems into trusted, usable data products. Her expertise spans data modelling, pipeline design, and translating between technical teams and business stakeholders, with a strong interest in data quality, data product thinking, and building user-friendly data platforms.
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