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Annie Morris, founder of Sulevia Insights, shares her extensive experience with technological transformations from mainframes to AI. The conversation explores lessons from past shifts, current AI adoption challenges, and strategic frameworks for success.
key topics
Historical tech shifts from mainframes to decentralized systems
Challenges and lessons in AI adoption
Strategic frameworks for AI and tech success
Titles
From Mainframes to AI: Lessons from 30 Years of Tech Transformation
How to Scale AI Effectively: Insights from Annie Morris
sound bites
"Challenges in scaling AI effectively"
"Involving experts in AI system design"
"Mainframes still run in banks today"
Chapters
00:00 Introduction to AI Interconnect Podcast
01:02 The Evolution of Technology: From Mainframes to AI
04:22 Lessons from the Past: Mainframe Era Insights
14:28 Current AI Adoption Challenges
20:38 Framework for Evaluating AI Initiatives
28:03 Challenges in Growth and Sales for Founders
LinkedIn: https://www.linkedin.com/in/annie-morris-sulevia/
keywords
AI, technology transformation, mainframes, AI adoption, strategic framework, fintech, healthtech, AI challenges, Annie Morris, Sulevia Insights, AI adoption, AI strategy, AI transformation, why AI fails, AI implementation challenges, enterprise AI, AI use cases, AI ROI, AI governance, AI testing challenges, AI business strategy, AI consulting, product strategy AI, go to market AI, AI execution, AI scaling problems, digital transformation lessons, mainframe vs AI, decentralized computing, AI for startups, AI for enterprises, fintech AI, healthtech AI, business growth strategy, AI InterConnect podcast, technology transformation, AI evaluation framework
#AIInterConnect #Podcast #AnnieMorris #SuleviaInsights #AILeadership #AIExpert
#ArtificialIntelligence #AIAdoption #AIStrategy #AITransformation #AIinBusiness
#DigitalTransformation #TechLeadership #EnterpriseAI #AIConsulting #AIUseCases
#AIImplementation #AIChallenges #AIExecution #AIGovernance #AIROI #AIEvaluation
#StartupGrowth #BusinessStrategy #Innovation #ScalingAI #FutureOfWork
#Fintech #HealthTech #AIinFintech #AIinHealthcare #ProductStrategy
#GoToMarket #ExecutiveLeadership #TechStrategy #AIInsights #AITrends
#GlobalBusiness #TechInnovation #AIFramework #DecisionMaking #AIExperts
Annie Morris, Founder of Sulevia Insights, joins AI InterConnect to explain why most AI initiatives fail to deliver real results despite widespread adoption.
With over 30 years of experience across fintech, health tech, and enterprise technology, Annie breaks down how today’s AI transformation mirrors past shifts from mainframe to decentralized systems. She shares practical insights on use case selection, governance, testing, and cultural adoption.
Learn how to evaluate AI opportunities, avoid common mistakes, and build systems that actually create value.
This episode is designed for founders, CEOs, operators, and investors navigating AI adoption and business transformation.
Subscribe to AI InterConnect for weekly conversations with leaders shaping the future of AI and business.
By Laurent CochetAnnie Morris, founder of Sulevia Insights, shares her extensive experience with technological transformations from mainframes to AI. The conversation explores lessons from past shifts, current AI adoption challenges, and strategic frameworks for success.
key topics
Historical tech shifts from mainframes to decentralized systems
Challenges and lessons in AI adoption
Strategic frameworks for AI and tech success
Titles
From Mainframes to AI: Lessons from 30 Years of Tech Transformation
How to Scale AI Effectively: Insights from Annie Morris
sound bites
"Challenges in scaling AI effectively"
"Involving experts in AI system design"
"Mainframes still run in banks today"
Chapters
00:00 Introduction to AI Interconnect Podcast
01:02 The Evolution of Technology: From Mainframes to AI
04:22 Lessons from the Past: Mainframe Era Insights
14:28 Current AI Adoption Challenges
20:38 Framework for Evaluating AI Initiatives
28:03 Challenges in Growth and Sales for Founders
LinkedIn: https://www.linkedin.com/in/annie-morris-sulevia/
keywords
AI, technology transformation, mainframes, AI adoption, strategic framework, fintech, healthtech, AI challenges, Annie Morris, Sulevia Insights, AI adoption, AI strategy, AI transformation, why AI fails, AI implementation challenges, enterprise AI, AI use cases, AI ROI, AI governance, AI testing challenges, AI business strategy, AI consulting, product strategy AI, go to market AI, AI execution, AI scaling problems, digital transformation lessons, mainframe vs AI, decentralized computing, AI for startups, AI for enterprises, fintech AI, healthtech AI, business growth strategy, AI InterConnect podcast, technology transformation, AI evaluation framework
#AIInterConnect #Podcast #AnnieMorris #SuleviaInsights #AILeadership #AIExpert
#ArtificialIntelligence #AIAdoption #AIStrategy #AITransformation #AIinBusiness
#DigitalTransformation #TechLeadership #EnterpriseAI #AIConsulting #AIUseCases
#AIImplementation #AIChallenges #AIExecution #AIGovernance #AIROI #AIEvaluation
#StartupGrowth #BusinessStrategy #Innovation #ScalingAI #FutureOfWork
#Fintech #HealthTech #AIinFintech #AIinHealthcare #ProductStrategy
#GoToMarket #ExecutiveLeadership #TechStrategy #AIInsights #AITrends
#GlobalBusiness #TechInnovation #AIFramework #DecisionMaking #AIExperts
Annie Morris, Founder of Sulevia Insights, joins AI InterConnect to explain why most AI initiatives fail to deliver real results despite widespread adoption.
With over 30 years of experience across fintech, health tech, and enterprise technology, Annie breaks down how today’s AI transformation mirrors past shifts from mainframe to decentralized systems. She shares practical insights on use case selection, governance, testing, and cultural adoption.
Learn how to evaluate AI opportunities, avoid common mistakes, and build systems that actually create value.
This episode is designed for founders, CEOs, operators, and investors navigating AI adoption and business transformation.
Subscribe to AI InterConnect for weekly conversations with leaders shaping the future of AI and business.