Models in the Middle: Rethinking the Dev Lifecycle for AI-Native Products
Aaron Wise
SDAILC merges software and AI lifecycles to build intelligent products that evolve with data and user feedback.
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Aaron Wise
SDAILC merges software and AI lifecycles to build intelligent products that evolve with data and user feedback.
Aaron Wise
Product and engineering must align under a shared vision, often led by a CTPO who balances technical execution with user-driven strategy.
Aaron Wise
Seagull managers, hero culture and other leadership red flags break team systems; fix them with calm clarity and psychological safety.
Aaron Wise
Consensus builds strong solutions when time allows, but compromise risks mediocrity if used for vision-critical decisions.
Aaron Wise
Synthetic data offers a privacy-preserving, scalable alternative to real-world data for training AI models and testing systems.
Aaron Wise
Data governance matures from simple accountability to proactive, adaptive frameworks as companies grow, balancing compliance and innovation.