Scaling a B2B platform isn’t just about long sales cycles and enterprise deals anymore. Companies that master network effects, freemium models, and viral adoption tactics can accelerate growth—just like successful B2C platforms. But without a strong data foundation, even the best network effects won’t reach their full potential.

2 years ago, ChatGPT took the world by storm, being the first true conversational agent. This blog post explores the changes to the AI landscape since, from new competitors to litigation about copyright infringement.

On 14 June 2021, major news outlets around the world attributed a 1.6% drop in Coca-Cola’s share price to Cristiano Ronaldo’s preference of water over Coke. The truth was both a little more simple and a lot more complicated.

Fee-free trading platforms, like Robinhood, made it very easy for novice investors to get started with their trader journey. Investors started to coordinate their efforts on Wall Street Bets, implemented short squeezes on dead-beat stocks like GameStop and the rest is history. This article explores the Meme Stock Bubble and the factors that influenced it.

Word embeddings models language by constructing dense vector representations of words that capture meaning and context, to be used in downstream tasks such as question-answering and sentiment analysis. This article explores the challenges of modelling languages, as well as the evolution of word embeddings, from Word2Vec to BERT.

Word embeddings models language by constructing dense vector representations of words that capture meaning and context, to be used in downstream tasks such as question-answering and sentiment analysis. This article explores the challenges of modelling languages, as well as the evolution of word embeddings, from Word2Vec to BERT.

This article explores the key components of Amazon’s business model that led to them becoming a trillion dollar company, as well as some of the criticism that has been levelled against it.

Following the burst of the DotCom bubble, the surviving companies like Apple, Google, and Microsoft became apex predators in their respective fields. This article explores the factors leading up to and during the DotCom bubble, as well as examine the long-term impact on the tech ecosystem.