“WHY 80% of AI PROJECTS FAIL IN THE WILD”

This podcast examines why a substantial portion of AI projects fail to transition from pilot phases to full-scale production. Key challenges include scaling complexities, inadequate data governance, insufficient skilled personnel, and overlooking user experience. Successful implementation, the text argues, requires meticulous planning, robust data management, user-centric design, and realistic budgeting to account for the entire lifecycle costs. Ignoring these factors significantly contributes to the high failure rate. Ultimately, the podcast emphasizes proactive strategies for improving AI project success. @AIE202works #AI Innovations, #Machine Learning Explained, #Future of AI, #AI in Everyday Life, #Deep #Learning Insights, #Ethics in AI, #AI Art and Creativity, #Robotics and AI, #AI for Beginners, AI and Society #ArtificialIntelligence,# MachineLearning, #FutureOfTechnology, #AIInnovation, #DeepLearning, #SmartMachines, #AIApplications, #TechRevolution, #AIInsights, #RoboticsAndAI

[jackie]

Too much cross talk. In real conversations people don't neatly speak 2 sentences each, taking turns.