The AI Training crisis: Why companies are spending money on AI but not educating

AI investments? Everywhere. 

AI training? ....... 🔭

Why are enterprises so quick to throw insanely large stacks of cash at any AI project or software, but neglect ongoing employee training and education? 

And what should we do about it? 

Join us to find out. 

The AI Training crisis: Why companies are spending money on AI but not educating -- An Everyday AI Chat with Jordan Wilson and Lucid Software's Dan Lawyer

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Topics Covered in This Episode:

1. The AI Training Crisis in Enterprises
2. Company Investment in AI vs. Employee Education
3. Cultural Shifts Required for AI Adoption
4. Importance of Domain-Specific AI Training
5. Grounding Large Language Models With Company Data
6. Process and Workflow Documentation for AI Success
7. Rapid Experimentation With New AI Models
8. Measuring ROI and Outcomes of AI Training
9. Creating Cultural Moments for AI Learning
10. Preparing Employees for Fast AI Technology Changes

Timestamps:
00:00 AI Training Crisis in Business

05:32 Generative AI and Family History

07:55 Grounding AI for Effective Use

11:49 "AI as a Co-Collaborator"

16:38 "Grounding AI for Better Trust"

19:29 "AI Needs Procedural Knowledge"

22:33 "Measuring AI's Value and Speed"

23:49 Rapid Experimentation and Continuous Learning

26:58 "Maximizing AI Through Education"

Keywords:
AI training crisis, AI education gap, enterprise AI adoption, AI in business, employee AI training, workplace AI integration, generative AI, large language models, AI-powered workflow, cultural shift with AI, organizational AI culture, domain specific AI training, AI-driven process documentation, AI experimentation, AI safety, securing company data with AI, best practices for AI implementation, nondeterministic AI, grounding AI in company data, procedural knowledge for AI, AI as coworker, AI collaboration, AI trust building, AI productivity, training AI like employees, measuring AI ROI, quantifiable AI outcomes, AI-powered decision making,

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