What if the most successful AI transformations are happening in traditional industries -- and no one's talking about the real strategies behind them?

I am sharing the insider playbook for building AI teams that actually deliver results in traditional industries.

Real-World AI Implementation Lessons
Drawing from hands-on experience leading data science teams across Palo Alto Networks, Thomson Reuters, NHS Kingston Hospital, and Johnson Controls' $139B operation, this practical guide reveals:

The Data Strategy That Actually Works

• How to identify the most valuable data hiding in your existing operations

• The framework for building data strategies that align with business objectives

• Why traditional industries have unique data advantages others don't

Building AI Teams That Deliver Results

• How to recruit and retain top data science talent in traditional environments

• The team composition that prevents common AI project failures

• Why mixing domain expertise with technical skills creates breakthrough results

Communicating AI to Non-Technical Stakeholders

• The presentation approach that gets executive buy-in consistently

• How to translate complex AI insights into clear business decisions

• Techniques for building AI literacy across your organization

Leading Through AI Transformation

• Early warning signs when your AI initiatives aren't working

• The change management strategies that work in established industries

• How to balance innovation with operational stability and compliance

Real Implementation Insights

• Lessons from actual AI deployments in manufacturing, healthcare, and automation

• How to avoid the common pitfalls that derail AI projects

• The step-by-step approach for scaling AI across traditional operations

Perfect for:
Operations executives implementing AI in established companies
Data science managers building teams in traditional industries
Technology leaders navigating AI transformation
Engineers and analysts transitioning to AI roles
Anyone leading AI initiatives in traditional business environments

What Industry Leaders Are Saying:
"Refreshingly practical and keeps it to the point... helping me a lot as I extend my team" - Verified Purchase

"Cuts through the AI hype and offers practical guidance for leaders in established industries" - Amazon Customer

"Real-world challenges and considerations for implementing AI in traditional industries" - 5-Star Review

The Traditional Industry Advantage
Rich Operational Data: Decades of real-world operations provide AI training gold
Domain Expertise: Deep industry knowledge guides AI implementation
Established Processes: Existing frameworks can be enhanced with AI capabilities
Long-term Perspective: Sustainable AI strategies that build lasting value

Why This Book Matters
This isn't theoretical AI guidance. It's practical battlefield intelligence from someone who's successfully led AI transformations in traditional industries where results matter and failure has real consequences.

Traditional industries face unique challenges and opportunities in AI implementation. This book provides the specific strategies, frameworks, and insights you need to succeed.

From data strategy to team building to stakeholder communication -- get the complete playbook for AI success in traditional industries.

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• Business & MoneyIndustriesInformation Management
• Business & MoneyManagement & LeadershipManagement Science

• Publication Date: April 14, 2024
• Text-to-Speech: Disabled
• Lending: Disabled
• Print Length: 206 Pages
• File Size: 23 KB