mailitics

Category: Generative Ai Use Cases

  • Can We Save the AI Economy?

    Can We Save the AI Economy? And do we want to? The post Can We Save the AI Economy? appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources

    Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources A question-driven scorecard to prioritize and de-risk AI initiatives before implementation The post Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources appeared first on Towards Data Science. Marina Tosic Go to original source

  • My Experiments with NotebookLM for Teaching 

    My Experiments with NotebookLM for Teaching  Exploring NotebookLM as a teaching companion The post My Experiments with NotebookLM for Teaching  appeared first on Towards Data Science. Parul Pandey Go to original source

  • AI FOMO, Shadow AI, and Other Business Problems

    AI FOMO, Shadow AI, and Other Business Problems What’s the state of AI in business these days, and how much does it cost us? The post AI FOMO, Shadow AI, and Other Business Problems appeared first on Towards Data Science. Stephanie Kirmer Go to original source

  • Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers

    Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers An Open Letter to the Scientific Community The post Why Science Must Embrace Co-Creation with Generative AI to Break Current Research Barriers appeared first on Towards Data Science. Ugo Pradère Go to original source

  • Tips for Setting Expectations in AI Projects

    Tips for Setting Expectations in AI Projects If you want your AI project to succeed, mastering expectation management comes first. When working with AI projets, uncertainty isn’t just a side effect, it can make or break the entire initiative. Most people impacted by AI projects don’t fully understand how AI works, or that errors are…

  • Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”

    Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.” Companies pursuing incremental productivity gains risk being displaced by AI-native competitors building entirely new business models The post Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.” appeared first on Towards Data Science. Shreshth Sharma Go to original source

  • Generative AI and Civic Institutions

    Generative AI and Civic Institutions Different sectors, different goals Recent events have got me thinking about AI as it relates to our civic institutions — think government, education, public libraries, and so on. We often forget that civic and governmental organizations are inherently deeply different from private companies and profit-making enterprises. They exist to enable…