Teams buy tools fast, then try to architect later. A warehouse here, a lake there, a feature store bolt-on, and a new GenAI gateway because the CEO asked for it. At first, it feels like progress. Then the cracks show. Ad-hoc platform sprawl creates duplicate data....
Previously, generative AI was limited to pilot decks, but gradually it has now seeped into daily processes in pharma and life sciences. AI models are now used by medical affairs, clinical and commercial teams for various processes such as scanning literature,...
Classic ML shipped with clean report cards. Accuracy, precision, recall, F1. You could argue about tradeoffs, but at least everyone agreed on what “good” meant. LLM apps don’t give you that comfort. RAG answers can be fluent and wrong. Copilots can...
Managing spend between Google ads, Meta, and LinkedIn can be like biting into a rock-hard brownie – extremely painful. Your team spends hours exporting CSVs and examining numbers, and yet it seems like each platform is on a different page, if not a different planet...
What if you could build powerful AI automations the same way you drag and drop slides in a presentation? No heavy coding, no steep learning curves, no mindboggling instructions, but just smart and easy-to-use tools doing the work for you? What if a small team could...
