Clear

Peter Hind

Principal Research Analyst at ADAPT

Peter Hind

Principal Research Analyst at ADAPT

Peter Hind has spent the last 25 years as an analyst and commentator on the ICT industry. 

His primary areas of interest are the potential of technology to transform the way organisations operate, the change management obstacles executives encounter in realising this potential, as well as the tactics and techniques leaders have deployed to overcome these difficulties.

Peter now takes on multiple roles within ADAPT including the moderation of private events and roundtables, interviewing business executives about the strategies they are pursuing and assisting with the structuring of delegate surveys.

He also interrogates and analyses ADAPT’s treasure trove of end-user and C-suite data.

Articles & Research by Peter Hind

No posts found.

cio-edgedata-edgegovernment-edge-conferencedigital-edgecloud-and-infrastructure-edgecio-edge-melbournesecurity-edgepeople-edgegovernment-edgecfo-edge
11 Aug 2026 Data as Fuel, Not Archive: Automating the Analyst Workflow in National Security

Private Executive Roundtable

Every national-security agency is sitting on a strategic asset it cannot fully use. Its data is collected, classified and stored - but much is never read, often duplicated, and rarely connected to the holdings next door. In a mission measured in minutes, that is not an archive. It is a decision waiting to happen - and a risk while it waits.

12 Aug 2026 Beyond Automation: Building True AI Readiness and Dynamic Capabilities Across the Hybrid Workforce

Private Executive Roundtable

Every people leader is feeling the same pressure - Agentic AI is being widely adopted at pace, workforce strategy needs to evolve - where is human in the loop important - more importantly, making their workforce not just AI-enabled, but ready to grow with it.

25 Aug 2026 The Ungoverned Majority: Proving Control Over AI You Cannot See

Private Executive Roundtable

ADAPT research shows half of Australia's Data and AI leaders formally govern fewer than 50% of their AI pilots. Regulators (APRA, ASIC, OAIC) are closing the gap on proof of control. Under the Financial Accountability Regime, that proof resolves to a named individual. Every autonomous decision needs an owner.

1 Sep 2026 The Ungoverned Majority: Proving Control Over AI You Cannot See

Private Executive Roundtable

ADAPT research shows half of Australia's Data and AI leaders formally govern fewer than 50% of their AI pilots. Regulators (APRA, ASIC, OAIC) are closing the gap on proof of control. Under the Financial Accountability Regime, that proof resolves to a named individual. Every autonomous decision needs an owner.