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.
This advisory examines the challenges and considerations for implementing and scaling graph AI databases, with a focus on hyperscaler Cloud options and necessary skills.
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.
Google’s Ironwood TPU targets AI inference cost/efficiency, vital for scaling complex models amidst fierce competition.