Scaling AI in Australia and New Zealand with ML Foundations and Databricks
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Science and Machine Learning |
INDUSTRY | Professional Services |
TECHNOLOGIES | Orchestration |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
In this session, we will unveil the distinct challenges organizations in Australia and New Zealand face in scaling AI. Leveraging Mantel Group's extensive experience across diverse sectors, we aim to demystify the journey from AI ideation to impactful operations. We'll explore hurdles in three key areas: People (limited knowledge and user adoption), Process (non-standardized pipelines and compliance issues), and Technology (inefficient data management and scalability concerns). Our practical guide, enriched by our collaboration with multiple clients, highlights democratizing AI, implementing best-practice ML foundations, and streamlining MLOps workflows. A special focus will be on using Databricks to create a unified environment for data and AI, enhancing scalability and governance. We'll showcase how Databricks aids in building future-proof ML foundations through a demo of our MLOps accelerator, showing actionable insights that are tested in real-world scenarios.
SESSION SPEAKERS
Ronald Wu
/Senior Data Scientist
Mantel Group
Josh Faure
/Solutions Architect
Databricks