Oskar Holm
(he/him)
Oskar Holm
Eficode
Lead AI Engineer
ABOUT THE SPEAKER
Oskar Holm is an AI engineer and data scientist specialising in agentic AI and intelligent systems. As Lead AI Engineer at Eficode, he focuses on applying advanced AI approaches to transform software development and bring modern best practices into the engineering lifecycle. With over a decade of experience in data science and a background in astrophysics, Oskar combines deep technical expertise with practical application across industries. His work centres on building principled, scalable AI systems that enhance productivity and unlock new capabilities for organisations.
Sessions
AI-Ready Data Pipelines: A Hands-On Introduction to dbt
AI is only as useful as the data it can trust. OVERVIEW As organisations move towards agents, automation and AI-assisted decision-making, the quality of the underlying data pipeline becomes critical. Businesses need data workflows that are clear, reliable, testable, documented and easy to maintain. Without that foundation, AI systems can become difficult to trust, difficult to scale and difficult to explain. This hands-on workshop introduces dbt, one of the tools changing how modern data teams build and manage data transformation. Participants will be guided through the basics of a modern data workflow, from setup through to a simple data-driven outcome. Along the way, the session will explore how data can be cleaned, transformed, tested and documented, and why lineage and maintainability are becoming increasingly important in AI-ready organisations. The workshop is designed to be beginner-friendly, with enough depth for more advanced questions on the day. WHAT PARTIPANTS WILL EXPLORE How modern data pipelines work Why dbt is becoming an important tool for data teams How data can be collected, cleaned, transformed and used to support decisions How testing, documentation and lineage help make data more trustworthy Why code-based, maintainable data workflows matter in the age of AI What skills and tools are useful for people looking to move further into data analysis or data engineering WHO IS IT FOR This workshop is for anyone curious about how modern data workflows are built. It will be especially useful for students and early-career learners interested in data, AI or analytics, founders and business leaders who want to understand what sits behind reliable AI systems, analysts, engineers or technical professionals who are curious about dbt, and anyone trying to understand what “AI-ready data” really means in practice. EXPERIENCE LEVEL This is a beginner-friendly workshop with room for more advanced questions. You do not need to be a data engineer to attend. Some familiarity with Python, SQL or Jupyter Notebooks will be helpful, but the session is designed to support a range of ability levels. PRACTICAL DETAILS Attendees should bring a laptop. Participants will receive a short setup guide in advance, including the tools and materials needed for the session. The teaching materials are designed so attendees can continue learning afterwards, with a study roadmap and links to further resources.
AI-Ready Data Pipelines: A Hands-On Introduction to dbt
AI is only as useful as the data it can trust. OVERVIEW As organisations move towards agents, automation and AI-assisted decision-making, the quality of the underlying data pipeline becomes critical. Businesses need data workflows that are clear, reliable, testable, documented and easy to maintain. Without that foundation, AI systems can become difficult to trust, difficult to scale and difficult to explain. This hands-on workshop introduces dbt, one of the tools changing how modern data teams build and manage data transformation. Participants will be guided through the basics of a modern data workflow, from setup through to a simple data-driven outcome. Along the way, the session will explore how data can be cleaned, transformed, tested and documented, and why lineage and maintainability are becoming increasingly important in AI-ready organisations. The workshop is designed to be beginner-friendly, with enough depth for more advanced questions on the day. WHAT PARTIPANTS WILL EXPLORE How modern data pipelines work Why dbt is becoming an important tool for data teams How data can be collected, cleaned, transformed and used to support decisions How testing, documentation and lineage help make data more trustworthy Why code-based, maintainable data workflows matter in the age of AI What skills and tools are useful for people looking to move further into data analysis or data engineering WHO IS IT FOR This workshop is for anyone curious about how modern data workflows are built. It will be especially useful for students and early-career learners interested in data, AI or analytics, founders and business leaders who want to understand what sits behind reliable AI systems, analysts, engineers or technical professionals who are curious about dbt, and anyone trying to understand what “AI-ready data” really means in practice. EXPERIENCE LEVEL This is a beginner-friendly workshop with room for more advanced questions. You do not need to be a data engineer to attend. Some familiarity with Python, SQL or Jupyter Notebooks will be helpful, but the session is designed to support a range of ability levels. PRACTICAL DETAILS Attendees should bring a laptop. Participants will receive a short setup guide in advance, including the tools and materials needed for the session. The teaching materials are designed so attendees can continue learning afterwards, with a study roadmap and links to further resources.

