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Gabby Fredkin

Head of Analytics & Insights at ADAPT

Gabby Fredkin

Head of Analytics & Insights at ADAPT

As the Head of Analytics and Insights at ADAPT, Gabby Fredkin’s primary role is managing analysis to produce ADAPT’s actionable insights to identify trends supporting organisations in Australia.

With a passion for creating stories with data, Gabby is consistently rated as one of the top speakers at ADAPT’s events. In roundtable discussions, he specialises in using statistics to initiate thought-provoking discussions, enabling ADAPT’s customers to become more data-driven.​

Using modern data science techniques, he provides ADAPT and its customers with confidence in the accuracy and validity of the information used for ADAPT’s research, advisory and events.

Working across artificial intelligence, machine learning, AI ethics, DevSecOps, end-user behaviour, and human-centred design, Gabby’s vast experience continues to grow, supported in part by a Master of Business Analytics from Deakin University.

Articles & Research by Gabby Fredkin

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28 May 2026 Designing the AI Fabric: Unifying Data for Trusted AI at Scale

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Most enterprise AI initiatives do not stall because of limited ambition. They stall because the underlying data estate was built for traditional reporting, not for the much broader set of consumers that now includes AI agents, real-time applications, operational workflows, analytics teams, and business users.

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The revelation of Anthropic’s ‘Mythos’ model has put boards on edge, exposing a stark new reality.

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Enterprise AI spending is projected to surge 44% in 2026, driven largely by massive infrastructure costs, yet true ROI predictability remains elusive. With majority of IT and finance leaders grappling with unmanageable token costs.

25 Jun 2026 Challenging the Black Box Globally: Building AI you can Govern, Operate, Afford and Scale

Private Executive Roundtable

Enterprise AI spending is projected to surge 44% in 2026, driven largely by massive infrastructure costs, yet true ROI predictability remains elusive. With majority of IT and finance leaders grappling with unmanageable token costs.