💡 I have asked the experts: what is the best piece of advice for us, the morphiq founders, in our early start-up phase? ✅ Anouk Moll: continuously adapt, be ready to change your (initial) business idea/s, tune into your customer needs; ✅ Julian Lange: consider/don’t discard pivoting, even in a context of already having a few customers. Seize opportunities that may arise down the road; ✅ Jan Miczaika: fuel your talent pool; be a few steps ahead of your needs. Good quality talent is scarce and not immediately mobilisable. Thank you! 🙏 Thanks Merantix for having invited morphiq.ai to attend the Fintech AI Breakfast (https://lnkd.in/eWmBpTAR). Thanks Janette Wiget for having greatly moderated the debate; here are my takeaways from it: 1️⃣ EXPERIENCE AND PATIENCE: building solutions for #regulatedindustries (such as the financial industry) is a massive challenge, not quite for impatient or industry outsider type of entrepreneurs; 2️⃣ EXPERIENCES vs. JUST AI: think of building new experiences, not just building an AI powered solution; look around, spot real needs/pains, address those; there's a lot that can be improved (e.g. customer interface, #personalisation, provide #real advice, #productivity increase at all levels etc.) ; 3️⃣ DATA vs. LLM: LLM commoditisation is a fact. Data, instead, is becoming critical, both for building new AI verticals (e.g. #hyperpersonalization, #riskmanagement etc.) and for ensuring models accuracy; 4️⃣ PREDICTIONS: we shall experience a series of incremental changes, already improving our lives, before a new cycle will bring fundamentally new AI driven experiences. For the entrepreneurs, there was a 🍒 on the 🎂: funding is available, for truly good ideas and strong teams. Otherwise, revenue is the best funding a start-up could aspire at. #ai #fintech #bigdata #aipredictions #startup #banking #llm #hyperpersonalization #algorithms #pivot #embracechange #stayalert
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