28 JAN, 2026
12 pm GMT
29 JAN, 2026
12 pm EST
From Legacy Chaos to AI Confidence
Data Modernisations in Action
Does Enterprise AI feel out of reach?
Let us show you the easy path to an AI-ready data stack.
Many enterprise AI initiatives slow down before they ever deliver value. Not because of the models, but because the data underneath them is still tied to legacy platforms and brittle pipelines.
In this webinar, Infinite Lambda and dbt Labs explore why legacy data remains a major barrier to enterprise analytics and AI, and why so many modernisation programmes struggle to stay on time and on budget.
We will look at why structured context plays a critical role in making data ready for AI at scale, and how to build your team’s confidence in their data.
To show you that large-scale migrations are more achievable than ever, we will do a live demo of Infinite Lambda’s end-to-end modernisation solution Flowline, which takes enterprises from legacy to modern data platforms in weeks.
If you are building a data strategy and want a clearer, practical path to enterprise AI, join us.
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Webinar agenda:
- Why legacy data blocks enterprise AI;
- How structured context powers reliable AI outputs and the role of dbt;
- Data migrations in practice: live demo of Infinite Lambda’s Flowline;
- Q&A.
This session is ideal for data leaders and practitioners who are:
Laying the foundations for enterprise AI.
Running legacy stacks and need a clear migration path.
Looking for faster, governed, version-controlled workflows.
Watch the webinar
Meet the experts
Hear from data modernisation leaders, who will be sharing their first-hand experience enabling enterprise AI.
Hicham Babahmed
Partner Solutions Architect,
dbt Labs
Cristiano Valente
Head of Pre-Sales Engineering,
Infinite Lambda
About the organisers
This event is hosted by pioneers in the data and AI space that empower organisations to leverage modern technology and gain a competitive edge.
A global data and AI consultancy, Infinite Lambda helps organisations build cutting-edge data capabilities across the value chain, from fast data use cases, such as intelligent apps, ML, and AI, to deliberate, slow data use cases like BI, analytics, and data science.
With over 250 data and AI projects and more than 100 dbt migrations, we use proprietary methodologies and tools that help our clients adopt innovation to drive value right away and stay agile in the long run.
dbt is the modern standard in data transformation, powering analytics workflows with trusted, AI-ready data.
dbt Labs’ open-source data transformation tool is made for anyone who knows SQL. It helps organisations build faster, more reliable workflows, empowering data practitioners to create and disseminate organisational knowledge.
dbt’s data control plane creates a centralised hub whose level of integration unifies capabilities and allows teams to build, test, and monitor workflows together.
Get to know us better