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With just 57% of our technology modernised, Cloud and Infrastructure leaders face a critical mission. The stakes are high: speed, security, compliance, innovation, and costs are all on the line. Modernisation isn’t just an option; it’s a necessity.
As legacy IT estates and complexities create unique challenges, it’s clear that focusing on consolidation, connectivity, modernisation, and automation are key levers to drive real impact.
As tech providers, how can you help alleviate this load?
How do they want you to show up to become a strategic partner?
How to approach with outcomes and value, rather than products?
In this 55-minute ADAPT Advantage virtual briefing, you’ll gain access to exclusive client-only research and insights to help you refine campaign strategy and sales engagements, to better connect with the critical needs of Australian IT leaders.
Watch replay now.
Anthony Saba
Partner & Research and Advisory Executive Director
Anthony leads the growth and development of ADAPT’s Research and Advisory Practice engaging directly with ADAPT’s community of C-Level Executives, equip them with the relevant research, tools and advice to effectively lead and transform their organisations.
Gabby Fredkin
Head of Analytics & Insights
Gabby’s primary role is managing analysis to produce ADAPT’s actionable insights. He has extensive experience in using data to identify technology trends to support Australian organisations.
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.
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.
Gabby is effective in translating information into insights, enabling ADAPT’s customers to become more data-driven.
Gabby’s primary areas of expertise are:
- Advanced AI and ML practices, including AI ethics.
- Building models to benchmark and predict IT performance.
- End-user behaviour and human-centred design.
- Cross-functional team design and value, such as DevSecOps.