Thiago De Faria

Data & AI Architect / Builder, Tilin The Cloud

TALK

Show Me The Money Data

Data Science became ML, turned into AI, morphed into LLMs, and people talk about Generative AI. And still, only a few talk about managing your data.

This talk introduces the audience to the fundamental practices that underpin ALL Artifical Intelligence. Data curation, data science,  data engineering, analytics and data governance. 

Thiago will share his experience as an expert in AI / ML in the simplest possible terms. What jobs need to be done, what roles and teams are typically involved and how do they all work together with other technical teams to acheive the desired outcomes for their users?

We'll delve into the technical complexities of data pipelines and infrastructure and explore how Team Topologies and Deming's "Profound Knowledge" can optimize team dynamics and system architecture. Whether hands-on with code or leading a team, you'll gain valuable insights into creating effective data strategies that support AI initiatives. Join us to learn how to align technical proficiency, cognitive load, and kindness in the AI era.

Thursday, 24 October, 15:50
Duration: 30 minutes
Track: Back to Basics: AI Fundamentals for Begineers

About the speaker

Thiago is an independent consultant renowned for his data and AI/ML expertise. His empathetic, equitable approach is a hallmark of his leadership, having guided AWS teams and collaborated with startups and prominent names like ASML, KLM, and Nike. Thiago is at the vanguard of integrating fast flow and Team Topologies into data and AI/ML initiatives, emphasizing kindness and empathy in tech management.

His consultancy style blends wit, empathy, and a fair-minded approach, valuing each team's unique context and capabilities. Thiago's recent venture, the Lovelace Series, spotlights the challenges and triumphs of women in tech, addressing critical issues such as micro-aggressions and retention. A regular speaker at European conferences, he shares insights on the confluence of Data Engineering, Data Science, AI/ML, DevOps, and Fast Flow, contributing to a more inclusive and forward-thinking tech landscape.

LinkedIn: https://www.linkedin.com/in/thiagoavadore/



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