Data-Centric Machine Learning: The Key to Unlocking the Potential of AI

What data centric machine learning is and why it’s the key to unlocking your organisation’s AI potential

The building blocks of data-centric AI

Getting started with data-centric AI + case study examples

Key Takeaways

• Data-centricity is needed to unlock lots of “small data” AI opportunities in your organisation
• Data-centricity gives your organisation the tools to systematically engineer great data
• Data science is a team sport: Data scientists, business leaders and subject-matter experts are jointly responsible for AI success.

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Bio

Jonas Christensen – Head of Data Science | Maurice Blackburn Lawyers | Australia

Jonas Christensen has spent his career leading data science functions across multiple industries. He is an author and international keynote speaker on data science and analytics leadership, a postgraduate educator and advisor in the field of data science and machine learning and host of the Leaders of Analytics podcast.

Jonas is passionate about what data science and AI can do for the world of business and beyond. He believes data science and AI will be as revolutionary to the way we do business and interact with each other as IT and personal computing has been over the past 40 years.