A curated collection of essential ai change management resources, organized by type for easy navigation.
29 resources
6 items
This framework defines three distinct AI competency levels—literacy (awareness for all), fluency (practical skills for 40-60%), and mastery (deep expertise for...
Cohort-based AI training delivers 65-85% completion vs. 5-15% for self-paced, making cohorts 75-80% cheaper per successful completer despite higher nominal...
61% of AI projects fail because organizations don't prepare employees for change. This analysis reveals the change management gaps that doom AI adoption and...
Compare AWS and Google Cloud AI certifications for machine learning engineers and cloud practitioners. Learn which credentials fit your cloud strategy.
A complete guide to Microsoft's AI certification portfolio, including Azure AI Engineer, AI-900 Fundamentals, and the new Microsoft 365 Copilot Specialist credentials.
Complement external AI certifications with internal badging programs tailored to your organization's tools, policies, and culture. A practical guide to designing and implementing internal credentials.
3 resources
3 items
AI project abandonment surged 147% in a single year. The Pertama 5-Factor AI Success Model provides a structured pre-implementation diagnostic that makes the difference between the 20% that succeed and the 80% that fail.
Reduce AI implementation risk with phased rollout. SOP for phase gate reviews, implementation checklist, and guidance for pilot to production scaling.
AI project abandonment surged 147% in a single year. The Pertama 5-Factor AI Success Model provides a structured pre-implementation diagnostic that makes the difference between the 20% that succeed and the 80% that fail.
Talk to an advisor to get personalized guidance on implementing these frameworks in your organization.
