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Bob, Principal Analyst at Cube Research, reveals fascinating insights on enterprise AI adoption from his latest research. His four-stage adoption model shows organizations progressing from basic alerts (21%) to recommendations (28%), manual automation (26%), and fully automated responses (24%), highlighting the journey as enterprises build trust in AI systems.
• Research shows enterprises slowly gaining comfort with AI adoption across four distinct stages
• An astonishing 97% of enterprises would switch vendors for better AI operations technology
• The 20-60-20 "maturity model" applies to AI adoption with leaders embracing full automation
• Getting started with AI is crucial for organizations to build experience and confidence
• Consumer AI applications like ChatGPT help enterprises get comfortable with the technology
• Network complexity increases the need for AI-driven operational efficiency
• To identify genuine AI solutions, look for vendors with 5-10+ years of experience
• Effective AI systems incorporate closed-loop feedback and leverage customer support insights
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Key points covered:
Adoption of AI in enterprises: The discussion highlights the different stages of AI adoption in enterprises, ranging from generating alerts to fully automating responses. It emphasizes the importance of organizations becoming comfortable with AI technology and gradually transitioning from manual automation to full automation.
Impact of AI on vendor selection: The conversation reveals that a significant percentage of enterprises are willing to switch vendors if they can get better AI operations technology. This underscores the value enterprises place on AI solutions and their potential to drive operational efficiency.
Evaluating AI solutions: The document discussion provides insights into how enterprises can differentiate between marketing AI and real AI. Key indicators include the vendor's experience, the presence of a closed-loop system, and collaboration with customer support teams to ensure the efficacy of AI solutions.
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Where to find Bob Laliberte?
LinkedIn - https://www.linkedin.com/in/boblaliberte90/
Website - https://thecuberesearch.com/
Where to find Bob Friday?
LinkedIn - https://www.linkedin.com/in/bobfriday/
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Keywords:
AI adoption, comfort with AI, AI vendor, closed-loop system, customer support, collaboration
-----
To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:
Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892
Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2
YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C
We hope you enjoyed this episode!
Bob, Principal Analyst at Cube Research, reveals fascinating insights on enterprise AI adoption from his latest research. His four-stage adoption model shows organizations progressing from basic alerts (21%) to recommendations (28%), manual automation (26%), and fully automated responses (24%), highlighting the journey as enterprises build trust in AI systems.
• Research shows enterprises slowly gaining comfort with AI adoption across four distinct stages
• An astonishing 97% of enterprises would switch vendors for better AI operations technology
• The 20-60-20 "maturity model" applies to AI adoption with leaders embracing full automation
• Getting started with AI is crucial for organizations to build experience and confidence
• Consumer AI applications like ChatGPT help enterprises get comfortable with the technology
• Network complexity increases the need for AI-driven operational efficiency
• To identify genuine AI solutions, look for vendors with 5-10+ years of experience
• Effective AI systems incorporate closed-loop feedback and leverage customer support insights
-----
Key points covered:
Adoption of AI in enterprises: The discussion highlights the different stages of AI adoption in enterprises, ranging from generating alerts to fully automating responses. It emphasizes the importance of organizations becoming comfortable with AI technology and gradually transitioning from manual automation to full automation.
Impact of AI on vendor selection: The conversation reveals that a significant percentage of enterprises are willing to switch vendors if they can get better AI operations technology. This underscores the value enterprises place on AI solutions and their potential to drive operational efficiency.
Evaluating AI solutions: The document discussion provides insights into how enterprises can differentiate between marketing AI and real AI. Key indicators include the vendor's experience, the presence of a closed-loop system, and collaboration with customer support teams to ensure the efficacy of AI solutions.
-----
Where to find Bob Laliberte?
LinkedIn - https://www.linkedin.com/in/boblaliberte90/
Website - https://thecuberesearch.com/
Where to find Bob Friday?
LinkedIn - https://www.linkedin.com/in/bobfriday/
-----
Keywords:
AI adoption, comfort with AI, AI vendor, closed-loop system, customer support, collaboration
-----
To stay updated on the latest episodes of The Q&AI Podcast and other exciting content, subscribe to our podcast on the following channels:
Apple Podcasts - https://podcasts.apple.com/us/podcast/the-q-ai-podcast/id1774055892
Spotify - https://open.spotify.com/show/0S1A318OkkstWZROYOn3dU?si=5d2347e0696640c2
YouTube - https://www.youtube.com/playlist?list=PLGvolzhkU_gTogP5IBMfwZ7glLp_Tqp-C
We hope you enjoyed this episode!