Brainstorming Podcast
Brainstorming Podcast
Podcast Description
Tired of the endless AI hype? Frustrated by tech investments that don't deliver a return? Welcome to Brainstorming.
We're not another AI news show. We're a weekly conversation dedicated to one thing: building a real business strategy for the age of AI.
Join AI Business Consultant Eric Menau and Notre Dame Business Strategy Professor Henrique Goncalves as they bridge the gap between cutting-edge academic theory and real-world business results. Each episode provides a practical framework to help you identify the right problems to solve and make the smart decisions that lead to a positive ROI.
Podcast Insights
Content Themes
The podcast explores critical topics such as the AI ROI crisis, AI strategy implementation in various industries, and the alignment of business strategies with AI advancements. Episodes like E3 focus on the reasons behind the failure of AI projects and offer actionable solutions, while E2 examines AI's practical applications in the hospitality sector, highlighting specific outcomes like reduced energy costs and improved guest experiences.
Tired of the endless AI hype? Frustrated by tech investments that don’t deliver a return? Welcome to Brainstorming.
We’re not another AI news show. We’re a weekly conversation dedicated to one thing: building a real business strategy for the age of AI.
Join AI Business Consultant Eric Menau and Notre Dame Business Strategy Professor Henrique Goncalves as they bridge the gap between cutting-edge academic theory and real-world business results. Each episode provides a practical framework to help you identify the right problems to solve and make the smart decisions that lead to a positive ROI.
This week on Brainstorming, we tackle one of the most personal and controversial frontiers of AI: mental and emotional health. As more people seek support from chatbots, researchers are in a race to build systems that are not just intelligent, but genuinely empathetic.
We dive into the paper ”Emotional Support with LLM-based Empathetic Dialogue Generation,” which details how to fine-tune Large Language Models to make them better emotional companions. The study reveals that through a combination of detailed prompt engineering and advanced training strategies, an AI can learn to generate responses that are warm, non-judgmental, and personalized to a user's emotional struggles.
The researchers’ method was so effective it placed second in a major academic competition, showing this is no longer science fiction. Their work provides a technical roadmap for creating safer and more effective digital mental health tools. Tune in to learn how an AI can be trained to understand human emotion, what separates a generic chatbot from a true emotional support agent, and the profound questions this technology raises for the future of healthcare.
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