Peter O'Connor stories
Peter O'Connor covers a range of topics focused on cloud computing, data management, and emerging technologies, especially in relation to enterprise solutions. His stories delve into how cloud platforms like Snowflake are transforming business operations by enabling secure data sharing, boosting channel partnerships, and facilitating compliance with regulations such as GDPR.
Through his writing, readers gain insights into the practical aspects of leveraging data science, artificial intelligence, and cross-cloud strategies to extract business value. He also explores industry trends such as blockchain's potential in healthcare, the resurgence of data warehouses, and the rise of data-driven cloud strategies that empower organizations to remain competitive in a digital landscape.
Engaging with Peter O'Connor's stories allows readers to understand the challenges and opportunities businesses face in adopting advanced data technologies and how these innovations can drive growth and operational efficiency.
Why a cross-cloud strategy can deliver big advantages
Six reasons why the pandemic has accelerated the shift to cloud
Snowflake brings on new ANZ partner manager to drive channel success
ANZ vendors respond to Australian govt budget announcement
Snowflake completes IRAP assessment, looks to enable Aus Govt
The six critical factors for a successful data science project
Video: 10 Minute IT Jams - Who is Snowflake?
Snowflake secures data deal with WA's Vix Technology
Cloud-based data warehousing at the heart of today’s enterprise - Snowflake
10 ways to benefit from the emerging ‘data nation’ - Snowflake
Why AI algorithms are only as good as the data they’re fed - Snowflake
Why the data warehouse is back and better than ever
How data helps ANZ enterprises shine
Will blockchain be the next big thing in the healthcare sector?
Why top enterprises are creating a data-driven cloud strategy
How to turn big data into valuable business information
Why a data consolidation strategy is the best approach to GDPR compliance
Six steps to extracting real business value from artificial intelligence