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The mission remains clear: ‘developer productivity without trade-offs’, as founder and CEO Paulo Rosado puts it. Project Morpheus, in the words of Nuno Carneiro, OutSystems AIproductmanager, is ‘the next generation of software development.’
They use their knowledge of machine learning algorithms, programming languages, and data science tools to build models that can be used to automate tasks and make predictions. AIProductManagersAIproductmanagers are responsible for the development and launch of AIproducts.
ANNs are being deployed on edge devices to enable real-time decision-making in applications such as smart cities, autonomous vehicles, and industrial automation. Automated Machine Learning (AutoML) AutoML tools are simplifying the process of building and deploying neural networks.
Implementation tip: Define clear objectives and constraints with domain experts before training AI models, ensuring alignment with real business priorities. For a detailed overview of predictive AI techniques, please refer to Chapter 4 of my book The Art of AIProductManagement.
Let's go over some of the few non-technical roles below: AIProductManagerAIproductmanagers connect the development team and business stakeholders. Their main role is to ensure that AI projects align with business objectives and customer needs.
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