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Rodrigo Coutinho is a co-founder and AIProductManager at OutSystems. Since co-founding the company in 2001, he has had a decisive participation in the design and vision of the product, in particular, its architecture and visual language. How does OutSystems plan to evolve its AI capabilities in the coming years?
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.
In the early days of the internet, job opportunities for internet productmanagers began to appear as companies recognized their need for this new technology. As the internet evolved, other roles such as web productmanager or digital productmanager became common. While these roles to some
Prompt engineers work closely with data scientists and machinelearning engineers to ensure that the prompts are effective and that the models are producing the desired results. MachineLearning Engineer Machinelearning engineers are responsible for developing and deploying machinelearning models.
Today, I received none other than Paige Bailey, a trailblazer in AIproductmanagement and a visionary who’s been at the helm of transformative projects at Google DeepMind and GitHub, working on the most advanced LLM projects. In our discussion, Paige shares her insights on the current state and the potential of generative AI.
The discovery of an AIproductmanager role at Netflix with a pay ceiling of $900,000 sent critics of the company and entertainment industry wild yesterday. That isn’t the only such listing, and likely not even the most lucrative. No one should be surprised that one of the biggest tech companies in …
There are lots of conversations about whether or not LLMs (and machinelearning, more generally) are forms of compression or not. And, as it turns out, there happen to be certain prompts that act as keys that unlock training data (for insiders, you may recognize this as extraction attacks, a form of adversarial machinelearning ).
Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and MachineLearning , revolutionising how computers process information and learn from data. Automated MachineLearning (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.
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