Data and AI
How to attract and retain top tech talent with modern data tools
Author: Eric Wong, Customer Success Lead, IBM Australia and New Zealand It wasn’t all smooth sailing for our client. A 2021 RMIT Online study by Deloitte Access Economics confirms what many of us know from experience – that data science is one of Australia’s most in-demand skill areas. What’s more, the employers surveyed by Deloitte […]
Addressing Data Governance challenges with IBM DataOps
Authors: Elaine Hanley, DataOps Centre of Excellence Worldwide Lead at IBM & Julie Lockner, IBM Data and AI Portfolio Operations, Customer Experience and Offering Management At the Gartner Data and Analytics Summit in Sydney earlier this year, IBM hosted a design thinking workshop on the emerging topic of DataOps. This is the third blog in […]
Assessing Data Inventory challenges with IBM DataOps
Authors: Elaine Hanley, DataOps Centre of Excellence Worldwide Lead at IBM & Julie Lockner, IBM Data and AI Portfolio Operations, Customer Experience and Offering Management At the Gartner Data and Analytics Summit in Sydney earlier this year, IBM hosted a design thinking workshop on the emerging topic of DataOps. This is the second blog in a […]
Accelerating the delivery of Trusted Data by adopting DataOps
Authors: Elaine Hanley, DataOps Centre of Excellence Worldwide Lead at IBM & Julie Lockner, IBM Data and AI Portfolio Operations, Customer Experience and Offering Management At the Gartner Data and Analytics Summit in Sydney in February, IBM hosted a design thinking workshop on the emerging topic of DataOps. During the session, we met with representatives from […]