Open Perspectives

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How AI can support every stage of the content lifecycle

AI is transforming the way content designers work, creating new opportunities to improve how content is researched, designed, managed and maintained. In this blog, Laurna Robertson explores how AI can support each stage of the content lifecycle, from discovery and planning through to content design and maintenance, while highlighting the importance of human judgement, accessibility and user focus.

Data & AI

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UCD

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Getting Comfortable Being Uncomfortable in User-Centred Design

User-centred design (UCD) often gets taught as a clear, structured process: speak to users, validate decisions, iterate, deliver. In an ideal world, everything flows neatly. But in reality? It very rarely works like that.  Here, Opencast Senior Interaction Designer James Tabiner shares his perspective on what it means to practise UCD in the real world, especially in environments shaped by constraints like tight budgets, shifting deadlines, limited user access, or small teams.  His core message: the real skill isn’t just doing UCD well; it’s knowing what to do when you can’t. 

UCD

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Government

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Healthcare

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The current state of AI regulations in 2026

In this blog, Rachel Derbyshire, Senior Interaction Designer at Opencast, explores the increasingly complex global landscape of AI regulation in 2026. As governments accelerate efforts to govern artificial intelligence, organisations are facing a fragmented and often challenging environment to navigate. From the EU’s rigorous, risk-based framework to China’s highly targeted regulatory controls and the UK’s flexible, pro-innovation approach, the rules shaping AI are evolving rapidly, and not always in alignment. This blog unpacks the key differences between these approaches and what they mean for businesses striving to remain compliant, competitive, and forward-thinking in a shifting regulatory world.

Data & AI

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Government

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The Future of DevOps and the Rise of Intelligent Systems

In Part One of this series, we explored how DevOps emerged as a response to the challenges of modern software delivery and why many organisations have struggled to realise its full value. In this second article, Opencast Practice Lead Scott McCarthy examines how DevOps has matured beyond its original foundations and become a set of complementary practices focused on delivering reliable, sustainable outcomes at scale. This article explores how DevOps continues to evolve and what organisations need to do to remain effective in an age of Artificial Intelligence (AI) systems.

Data & AI

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IT Architecture

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Software Development

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How DevOps Evolved and Why It Became Confusing

In this blog, Opencast Practice Lead Scott McCarthy explores how DevOps has evolved from a response to the challenges of modern software delivery into a widely adopted approach. Drawing on experience working with complex delivery teams, he reflects on how the original intent of DevOps has sometimes become less clear as organisations focus on tools and structures alongside culture and outcomes. This is Part One of a two-part series, focusing on how DevOps emerged, why it can be perceived as confusing, and where organisations commonly face challenges when putting it into practice.

Software Development

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IT Architecture

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Data & AI

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Accessibility in legacy services: Why waiting for the redesign is not enough

Accessibility in legacy services is often deprioritised in favour of future redesigns. In this blog, Adam Liptrot, Senior Consultant and Accessibility Specialist at Opencast, explores why that approach falls short, and why making meaningful improvements today is essential for the people who rely on these systems every day.

UCD

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Diversity, equity and inclusion (DEI)

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Software Development

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Engineering excellence in the age of Artificial Intelligence (AI)

In this blog, Linzi Shearer, Head of Capability Development at Opencast, explores how AI is reshaping software engineering and what that means for capability, quality, and accountability. From shifting skill demands to the growing importance of judgement and validation, Linzi sets out why strong engineering fundamentals matter more than ever in an AI-enabled world.

Data & AI

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Software Development

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IT Architecture

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The Evolving Role of the Delivery Manager in the Age of AI

In this blog, Darren Horobets-Farley, Senior Agile Delivery Manager, explores the evolving role of the Delivery Manager in an increasingly AI-driven world. As Artificial Intelligence (AI) becomes more deeply embedded in software delivery, many traditional delivery tasks are increasingly being supported and enhanced through automation and AI. Darren explores what this shift means for Delivery Managers, where AI can genuinely add value, and why human leadership, judgement, communication and trust remain essential to successful delivery teams.   

Data & AI

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Product & Delivery

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Don’t forget your team are stakeholders too

An efficient Product Manager will dedicate a lot of time to understanding the motivations of stakeholders and what good looks like to them. This engagement ensures that stakeholders feel heard and involved. It builds trust and gives them confidence that you understand what it takes to get things right.   But what happens when this engagement isn’t effectively completed or when internal stakeholders – your own team – aren’t heard? In this OpenPerspectives blog, Simon Hales, Senior Product Manager at Opencast, shares his perspectives on the challenge.

People & Culture

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Government

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Product & Delivery

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