Though current AI struggles with accuracy, relevance, and interpretability, MIT's Hybrid AI offers a solution. By combining human-like reasoning with machine learning, it could lead to more reliable, business-specific outputs, improved decision-making across functions like marketing, product development, and IT, with potential benefits extending to finance, HR, and operations.

Here are some examples:

• Finance: More accurate risk assessments, fraud detection, and improved financial forecasting.
• Human Resources: Streamlined recruitment processes, personalized employee training, and better performance management.
• Operations: Optimized logistics, predictive maintenance, and improved resource allocation.

Overall, MIT's Hybrid AI architecture holds promise for overcoming current limitations of Gen AI and improving various business functions by offering more reliable, relevant, and actionable insights.