Bonus episode! Bob Laliberte, Principal Analyst at theCUBE 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:
1. 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.
2. 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.
3. Evaluating AI solutions: The 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
https://www.linkedin.com/in/bobfriday/
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We hope you enjoyed this episode!
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Chapters
1. Introduction
• Welcome and introduction
• Introduction of Bob Laliberte, principal analyst at theCUBE Research 0:02
2. Background of Bob Laliberte
• Bob shares his background and experience in networking and optical networking 0:18
3. Adoption of AI in enterprises
• Discussion on the current phase of AI adoption in enterprises 0:40
• Bob explains his research on AI adoption and the spectrum of AI usage in organizations 1:04
4. AI usage pectrum
• Breakdown of AI usage responses: alert generation, recommendation, manual automation, and full automation 1:50
5. Comfort with AI
• Transition stages from manual automation to full automation and the conservative nature of organizations 2:19
6. Comparison to self-driving cars
• Comparison of AI adoption in enterprises with self-driving car adoption 2:59
7. Importance of experience
• Importance of getting started with AI to gain experience and comfort 3:38
8. Vendor selection and AI priority
• Discussion on the priority of AI in vendor selection and the impact of better AIOps technology 4:45
9. Recommendations for enterprises
• Bob’s recommendations for enterprises to differentiate between marketing AI and real AI 5:37
10. Conclusion
• Wrap-up and closing remarks 6:49
AI-Native NOW: Journey to the Self‑Driving Network on-demand webinar https://www.juniper.net/us/en/events/webinars/2025/ai-native-now-journey-to-self-driving-networks.html
The Q&AI Ep 15 | The Path to Self-Driving Networks with AI https://www.juniper.net/us/en/the-feed/topics/ai-and-machine-learning/the-q-and-ai-the-path-to-self-driving-networks-with-ai.html
