Experience, Expertise and Exchange
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Please note: The views expressed on this website are my own and reflect my personal professional experience, research and publicly available information. They do not represent the views, strategies or confidential information of my employer or its affiliated companies.
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AI coding tools are clearly increasing developer output. The management question is what that increase actually means for cost, quality and risk.
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The organizations that succeed over the next decade will not necessarily be those with the best AI models. Here is what will make the difference.
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The organizations seeing real impact from AI are not replacing people. They are redesigning workflows so humans and machines operate together, each doing what they do best.
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From my experience leading technology and operations at scale, I’ve learned: Automation doesn’t fail because the tool isn’t capable. It fails because the process around the tool isn’t ready.
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For years, integration has been the hidden cost of transformation. What is changing now is not the need for integration, but how integration happens.
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The Real Story Behind the Rising Cost of Training AI Models and why it matters more than most business leaders realize.
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In 2025, AI in insurance has crossed a point of no return. The technology works. The value is visible. But only a small group of insurers is truly able to operate AI at scale - and the difference is no longer technical.
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Over the past 18 months, nearly every leadership conversation I’ve been part of has circled back to the same question: “How do we get our people ready for AI?” It’s asked with urgency, often with a hint of frustration, and almost always with the same assumption behind it – that readiness is a technical problem.
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The race is on: Big Tech’s AI infrastructure spend has more than doubled since 2022. Europe needs to take note.
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When Generative Artificial Intelligence (Gen AI) went mainstream in 2023, with tools such as ChatGPT by OpenAI leading the way, it sparked a fair amount of bothpanic and excitement about how it would transform business operations across different industries.
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As rapidly growing generative AI technologies unleash a new generation of innovation, they also signal an equally sharp stream of ethical challenges for businesses.
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Explore the significance of PDF accessibility in line with the EU’s EAA. Learn strategies for optimising PDFs for inclusivity and the importance of digital accessibility.
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In the age of the revolutionary landscape of Generative AI (Gen AI), fostering AI culture in organizations is no longer considered a luxury but it has become a need for tech companies to innovate and lead.
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One of the most exciting advancements in our technological arsenal is the Digital Twin technology – a concept that has matured from its initial association with IoT to become a standalone innovation, transforming how we understand and interact with our digital landscape.
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With the European Digital Accessibility Act expected to take effect in June 2025, businesses across Europe are struggling to make their digital services and products available to all.
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The internet revolution has paved the way for websites – providing a digital medium for businesses to present and promote themselves.
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The Artificial Intelligence (AI) market has witnessed transformative growth, evolving rapidly to accommodate the surge in investments and innovations.
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Technology helps innovation. And one amazing technological advance is artificial intelligence. It is everywhere – in homes, offices, hospitals, banks, schools, businesses, etc.
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In the first part of the series on Digital Accessibility, we acquainted you with the terminology, what it entails, the European Accessibility Act, and its impact on businesses and consumers.
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Voice cloning technology raises serious ethical and legal concerns, including copyright infringement, misappropriation of identity, and defamation. There are also concerns about the legal implications of voice cloning.
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In an era defined by data, Europe’s digital landscape stands at a pivotal juncture. As the world witnesses an exponential surge in the generation and utilization of digital information, the need for robust frameworks ensuring data sovereignty, security, and interoperability has never been more pressing.
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The banking industry is going through a massive transformation due to digital disruption. In today’s fast-paced and highly competitive environment, traditional banking practices are no longer sufficient to meet the growing demands of customers.
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In today’s digital era, when everything is online and tasks can be completed using smartphones, life is easy for most of us. However, those oft-neglected in this space are those suffering from visual impairments, physically challenged, or elderly persons – who are unable to utilize these resourceful services.
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The EU has been publishing this scoreboard since 2001, and it’s like a benchmark for analysing how well different countries are doing in terms of innovation.
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Navigating through my LinkedIn notifications, one message caught my eye. It wasn’t a standard sales fare; it was an offer to generate AI-powered headshots for my profile. My interest, as a digital transformation expert, was instantly piqued. This was an opportunity not just for a profile refresh, but to delve into the world of AI algorithms, their creations, opportunities, and the looming shadows of misuse and lack of regulation.