Enhancing data management for AI advancement in Australia and New Zealand: A guide for business, government, and IT leaders
Artificial Intelligence promises a revolution in the way work gets done in banking, finance, commercial, and government sectors in Australia and New Zealand.
However, leaders in these organisations often face challenges when implementing AI. These include shortages of knowledgeable and experienced staff, limited established best practices to follow, and the technical and regulatory complexity that can threaten the success of initial AI projects.
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Key takeaways
Data quality as a differentiator
High-quality, accessible data is foundational to successful AI. Organisations that prioritise data cleanliness, integration, and governance can achieve more reliable AI outcomes and competitive advantage.
Overcoming skills gaps
Many organisations face a shortage of AI-specific skills, particularly in ANZ, where demand outpaces supply.
Strategic technology use
Leveraging AWS and partner technologies such as Databricks, Snowflake, and Amazon SageMaker helps organisations ensure scalable, secure, and cost-effective AI deployments.
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