Latest Advisory
Databases Are Evolving in the AI Era… With Huge Implications For ERP
ERP databases are rapidly integrating AI indexing like vector and graph search. This will enable “invisible AI” within core business applications, but adoption may be slow due to migration and skill challenges.
Databases Are Evolving in the AI Era… With Huge Implications For ERP
ERP databases are rapidly integrating AI indexing like vector and graph search. This will enable “invisible AI” within core business applications, but adoption may be slow due to migration and skill challenges.
VENDORiQ: ServiceNow – Building a Digital Fabric – Weaving the Fourth-Wave of ICT
ServiceNow leads fourth-wave ICT integration, merging automation tools and leveraging active data for a comprehensive low-code platform approach.
VENDORiQ: Will China be the Key to Enabling Australian Sovereign AI?
Special Report:
This report discusses the impact and recent announcements regarding Qwen, a Chinese AI model. IBRS is not advocating for Chinese AI. Rather, we argue that there are compelling opportunities and strong economic drivers to create a sovereign AI capability using open source models from around the world. The recent announcement from Qwen drives home the importance and imperative to explore Australian sovereign AI capabilities.
Sourcing Monthly April 2025
IBRS Sourcing Monthly brings you the latest news and deals in the Australian IT world.
What to Consider Before Undertaking Graph AI Projects
This advisory examines the challenges and considerations for implementing and scaling graph AI databases, with a focus on hyperscaler Cloud options and necessary skills.
B2B Value Capture in the Intangible Economy – What’s It Really Worth to Technology Buyers?
Technological advancements follow a compressed four-stage market cycle, creating a corresponding value cycle. Early movers in digital sectors secure disproportionate value, challenged by regulation. Intangible assets drive modern value, demanding revised B2B procurement for ecosystem navigation and value capture.
VENDORiQ: Google Ironwood: A driver for Cost Efficiency in AI?
Google’s Ironwood TPU targets AI inference cost/efficiency, vital for scaling complex models amidst fierce competition.
'%3e%3cg id='Final-Copy-2_2_' transform='translate(1275.000000, 200.000000)'%3e%3cpath class='st0' d='M7.4,12.8h6.8l3.1-11.6H7.4C4.2,1.2,1.6,3.8,1.6,7S4.2,12.8,7.4,12.8z'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3cg id='final---dec.11-2020'%3e%3cg id='_x30_208-our-toggle' transform='translate(-1275.000000, -200.000000)'%3e%3cg id='Final-Copy-2' transform='translate(1275.000000, 200.000000)'%3e%3cpath class='st1' d='M22.6,0H7.4c-3.9,0-7,3.1-7,7s3.1,7,7,7h15.2c3.9,0,7-3.1,7-7S26.4,0,22.6,0z M1.6,7c0-3.2,2.6-5.8,5.8-5.8 h9.9l-3.1,11.6H7.4C4.2,12.8,1.6,10.2,1.6,7z'/%3e%3cpath id='x' class='st2' d='M24.6,4c0.2,0.2,0.2,0.6,0,0.8l0,0L22.5,7l2.2,2.2c0.2,0.2,0.2,0.6,0,0.8c-0.2,0.2-0.6,0.2-0.8,0 l0,0l-2.2-2.2L19.5,10c-0.2,0.2-0.6,0.2-0.8,0c-0.2-0.2-0.2-0.6,0-0.8l0,0L20.8,7l-2.2-2.2c-0.2-0.2-0.2-0.6,0-0.8 c0.2-0.2,0.6-0.2,0.8,0l0,0l2.2,2.2L23.8,4C24,3.8,24.4,3.8,24.6,4z'/%3e%3cpath id='y' class='st3' d='M12.7,4.1c0.2,0.2,0.3,0.6,0.1,0.8l0,0L8.6,9.8C8.5,9.9,8.4,10,8.3,10c-0.2,0.1-0.5,0.1-0.7-0.1l0,0 L5.4,7.7c-0.2-0.2-0.2-0.6,0-0.8c0.2-0.2,0.6-0.2,0.8,0l0,0L8,8.6l3.8-4.5C12,3.9,12.4,3.9,12.7,4.1z'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
Your Privacy Choices