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Imagine a world where your bank anticipates your financial needs, your energy provider offers plans based on your actual usage, and healthcare services are customised to your lifestyle and personal history. This is not just the potential of open data but is a rapidly emerging reality. As we move further into a data-driven world, open

Over the past five years, many large enterprises have found themselves trapped in a paradoxical situation—desperate to harness the potential of artificial intelligence yet paralysed by an overemphasis on risk management. Much of this predicament can be traced back to the strategic frameworks championed by Big 4 consultancies, whose cautious, risk-first approach to AI has

Marketing automation promised to be the silver bullet for businesses looking to transform their customer experience and accelerate digital enablement. Powered by sophisticated technology stacks like Adobe, Salesforce, and others, the vision seemed simple: deploy advanced platforms, automate marketing processes, and deliver personalised customer experiences at scale. Yet, despite the significant investments in these tools,

The debate between low-code/no-code platforms and traditional programming continues to gain momentum. While some “serious programmers” may look down on low-code/no-code solutions, we are at a significant inflection point. Just as authors evolved from writing novels with pen and ink to using advanced word processors, the tools engineers use to design and create solutions will

In the world of technology, we’ve witnessed some breathtaking transformations. The rise of the internet, the explosion of mobile technology, and the advent of social media all fundamentally reshaped our lives and businesses. But as rapid and far-reaching as these changes were, what we’re seeing now with AI, particularly Large Language Models (LLMs), is on

The large-scale adoption of Generative AI (GenAI) has hit roadblocks. While corporations paint an optimistic picture, actual implementation remains limited—mostly chatbots and Copilot deployments. Explanations range from technology maturity to regulations, but one key factor often overlooked is trust—our trust in technology and how it evolves over time. The Fragility of Trust Trust is complex,

AI is transforming business operations beyond chatbots and search engines. Emerging AI architectures are creating faster, more tailored, smarter, more efficient, and scalable solutions. At Trideca, we’re at the forefront of designing and helping organisations understand and adopt the latest AI architectures to gain a competitive edge. We have built a world-leading AI Engineering and

A New Breed of Accelerators Accelerators have been around for some time, often with mixed results. But as organisations seek new growth opportunities, new models to support digital innovation are emerging. Digital teams increasingly build internally-focused accelerators, rapidly prototyping products and solutions and blending best-practice of digital and innovation teams. Blends Tech and Innovation Agile sprints can be

For Progressive Development Microservices and mini-apps standardise  digital development based on best practice. Complexity and risk are reduced across systems, and the efficiency, output and financial impact of developer teams grows. This enables organisations to proactively respond to marketing shifts and opportunities amidst disruption, while leveraging best-practice work completed on previous development efforts. Additionally, to ensure a

This Changes Everything With expected investment of $200B by 2025, tools such as ChatGPT are rapidly advancing and will create a range of opportunities and challenges which every business and technology leader needs to get ahead of. So leaders need to think beyond the current engineer-led focus on Generative AI, and focus on understanding possibilities

Data is Changing Only 10% of enterprises are advanced in their insights-driven data capabilities (Forrester, 2023). This speaks to the limitations and barriers facing enterprises that have moved from databases, to data warehouses/ lakes/wetlands / swamps. In response to these challenges, a new approach to data management has emerged. With Data Fabrics Data fabrics are

Innovation Dilemma According to global consultancy McKinsey, over 80% of executives surveyed in 2022 named innovation among their top three priorities. However, less than 10% reported satisfaction with their organisations’ innovation performance or impact. This is often the result of market failure at the product and prototype development stage. Tension is often created between senior

When faced with a big decision—career, investments, relationships—do you seek a second opinion? Perhaps a third? Most of us do. Not because we’re indecisive but because decision-making is a process, not an event. It’s an intricate dance of weighing perspectives, resolving ambiguities, and finding clarity amidst complexity. Interestingly, our habit is not just practical—it mirrors