industry trends

Looking back at 12 months of AI development — the models, the infrastructure, the real deployments, and the lessons learned. What actually changed in 2025, and what it means for 2026.

Financial services in Africa are leapfrogging traditional infrastructure — and AI is accelerating that jump. From credit scoring to fraud detection to customer service, here's where AI is creating real impact.

Claude 3.7 Sonnet's 'extended thinking' and GPT-4.5's emotional intelligence represent two very different philosophies of what AI should be. Here's what each means for enterprise builders.

July 2025 saw Anthropic release Claude Sonnet 4 and Opus 4, while multimodal AI capabilities — processing text, images, documents, and audio together — became the new baseline expectation.

In January 2025, a Chinese AI lab dropped a model that outperformed OpenAI's o1 at a fraction of the cost — and open-sourced it. Here's what it means for enterprise AI.

After a year that moved faster than anyone predicted, what should enterprise teams be planning for in 2026? Here are five high-conviction predictions for where AI goes next.

February 2025 brought a flurry of new model releases. We cut through the benchmark noise and look at what actually matters for teams building production AI.

The most common question we get from clients isn't 'can AI do this?' — it's 'how do we know if it's working?' Here's the framework we use to measure and communicate AI return on investment.

While everyone watches the frontier model race, a parallel and arguably more impactful story is unfolding with small, efficient models that run on devices you already own. Here's why SLMs matter.

Twelve months ago, AI agents were the most hyped topic in enterprise tech. Today they're becoming boring infrastructure — and that's exactly what success looks like. Here's an honest 2026 assessment.