Session Outline

This presentation delves into the hurdles of preparing for Data Science and AI implementation across four distinct industries, offering insightful takeaways specific to each sector.

Key Takeaways

  • Examining hurdles in implementing Data Science & AI across four industries
  • Providing sector-specific insights and takeaways
  • Identifying challenges and essential lessons for navigating AI adoption



Amin Rigi – Data Science Lead | BP | Australia

Amin Rigi is Data Science Lead, where he spearheads technical data science modeling, fosters stakeholder engagement, and oversees the comprehensive end to end management of data science projects. Backed by a robust foundation in software engineering, a PhD in computer science, and over seven years of industry experience in the realm of data science and delivering quality projects gained from his roles at Aurecon, Vocus, ANZ, and bp, Amin has a noteworthy portfolio of accomplishments. Amin Also loves the meaningful sides of things. In data science, that’d be mostly AI ethics and philosophy.

June 6 @ 14:00
14:00 — 14:30 (30′)

ANZ-Stage 2 2024

Amin Rigi – Data Science Lead | BP | Australia