Farlow Insights

Clear thinking for important talent decisions.

Practical perspectives on hiring, capability and careers across Australia’s Data and AI market.

Australian data and AI leaders examining connected and fragmented data flows in Sydney

Featured guide

AI use is rising. Data discipline is falling behind.

Australian AI adoption is accelerating, but the latest evidence points to a widening gap between experimentation and the data practices required to create dependable value.

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Australian data, product and risk leaders designing responsible AI controls together
02

Responsible AI

Responsible AI is now a team-design question.

Governance is moving inside the AI delivery lifecycle. Australian employers need clear accountability, technical controls and people who can connect risk to product decisions.

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Australian product, domain and data professionals redesigning work around AI
03

Workforce strategy

Your next AI hire may not be an AI specialist.

Australian evidence suggests AI will reshape work through augmentation. The teams that succeed will combine engineering with product, domain and change capability.

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Australian data professionals collaborating with an integrated international team in Sydney
04

Hiring guide

Onshore, offshore or both? Designing the right data team.

A practical framework for Australian organisations deciding where data capability should sit—and how to make distributed teams work.

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Layered data structures forming a dependable foundation for artificial intelligence
05

AI strategy

AI ambition is easy. Data readiness is the advantage.

Why the quality, accessibility and governance of data determine whether Australian organisations turn AI investment into dependable business value.

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A diverse Australian team assessing a Data Engineering architecture
06

Hiring guide

How to hire Data Engineers in Australia

A practical framework for defining, assessing and closing Data Engineering talent in the Australian market.

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A cross-functional Australian AI team assembling complementary capabilities
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Capability guide

Building an AI team in Australia: roles before titles

How to distinguish AI engineering, machine learning, data science, product and governance capability before hiring.

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Executives defining the mandate for a Data and AI leadership appointment
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Executive search

Designing a Data & AI leadership role that can succeed

A role-design framework for Chief Data Officers, Heads of Data, AI leaders and transformation executives.

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