13 - 14 August, 2019 | Novotel Sydney on Darling Harbour, Sydney, NSW
Michelle Kempster
Head of Data Governance and Quality
TABCORP
Check out the incredible speaker line-up to see who will be joining Michelle.
Download The Latest AgendaPre-Conference Workshops: Monday, 12th August 2019
Monday, August 12th, 2019
12:00 PM Implementing A Data Science Practice With Robust Data Governance And A Data Environment Capable Of Supporting Artificial Intelligence And Machine Learning Initiatives
Machine learning and Statistical Analysis are popular techniques used today in Artificial Intelligence applications. For machine learning to identify patterns and hidden correlations large amounts of data are needed. The better the quality the data you feed into the machine, the better the results will be. As such, ensuring robust data governance and a strong data environment are central to successful data science practice and the construction of AI initiatives which further the business across all business units.
What you will learn
- Understand the true meaning of data quality and governance and its significance for data science
- Learn best practice techniques for building a backend framework which will support machine learning initiatives
- Gain perspectives on what successful data governance should look like