Chappytastic.com
Thoughts, musings, all things MarTech and more...
"The biggest mistake people still make about cryptocurrency is assuming it's all about cryptocurrency." If you'd asked most people in 2017 what blockchain was going to change, you'd probably have heard the same answers. Banks. Money. Governments. Perhaps the occasional prediction that Bitcoin would replace the pound by Christmas.
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Everyone loves a graph pointing upwards. Marketing launches an A/B test. Product signs it off. Analytics reports a 14% increase in conversions. Champagne isn't quite opened, but there are certainly a few congratulatory messages in Teams.
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Every few years, our industry develops an irresistible urge to declare something dead. Monoliths. Java. The CMS. Email. Passwords. The front end. The back end. If you've spent any time on LinkedIn recently, you've almost certainly seen somebody confidently informing the rest of us that REST APIs are next.
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The AI conversation is about to change. By 2027, organisations won't be asking whether they should use AI - they'll be asking why parts of their business aren't already powered by it. From autonomous digital employees and AI-native software development to sovereign AI and the rise of personal models, the next 18 months will fundamentally reshape how we work.
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Artificial intelligence has spent the last few years being treated as something that is perpetually about to happen. It is going to transform work. It is going to change education. It is going to revolutionise healthcare. It is going to automate government. It is going to disrupt Google. It is going to eliminate jobs...
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Enterprise technology evaluations are often reduced to spreadsheets. Does the product generate text? Tick. Does it summarise documents? Tick. Does it provide agents? Tick. Does it support multiple models? Tick. Does it have a chatbot? Tick. This approach creates the…
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Almost every CMS vendor now describes its platform using the same vocabulary. AI-powered. AI-first. Agentic. Intelligent. Autonomous. Contextual. The terminology has changed so quickly that it is becoming difficult to distinguish a genuine architectural shift from a product team adding…
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For several years, the technology industry has enjoyed predicting the death of enterprise software. Cloud computing was supposed to eliminate traditional platforms. Composable architecture was supposed to dismantle the suite. Low-code tools were supposed to remove the need for specialist…
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The rise of AI-native development platforms such as Lovable has reignited an old debate: do organisations still need a Content Management System? Lovable's messaging is intentionally bold. Rather than promising faster CMS migrations, it questions whether organisations should migrate at…
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For the past few years, most enterprise AI conversations have focused on models. Which model is smartest? Which model is fastest? Which model has the largest context window? Which model performs best on a particular benchmark? Those questions matter, but…
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