In this episode of The Q&AI Podcast, Bob Friday sits down with Tim Fell, VP of Networking Technologies and Services at TELUS, to explore the transformative role of AI as the next evolution of automation in the telecommunications industry. Together, they delve into TELUS’ journey of integrating AI across its operations, the challenges of aligning data strategies, and the impact of AI on both internal efficiencies and customer experiences. From copilot tools for employees to machine learning applications in network optimization, discover how TELUS is leveraging AI to deliver better outcomes and redefine the future of connectivity.
Key points covered:
AI in telecommunications: Elevates operations through data-driven insights, enhancing team efficiency
Customer and network optimization: AI for telecommunications serves as a strategic aid, mitigating network issues to deliver consistent service
Data-driven AI implementation: TELUS leverages network data for building scalable, reliable telecom AI solutions
Future of autonomous networks: AI in telco enables dynamic resource scaling for demand fluctuation, optimizing energy use
Cultural integration of AI: TELUS embraces telecom AI, fostering innovation and creative problem-solving within its teams
Find the transcript and show notes at:
Where to find Tim Fell
LinkedIn – https://www.linkedin.com/in/tim-fell-872204a/
Where to find Bob Friday
LinkedIn – https://www.linkedin.com/in/bobfriday/
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We hope you enjoyed this episode!
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Chapters for the video:
1. Introduction to AI in telecommunications
• Overview of AI’s role in the evolution of automation at TELUS 0:08
• Tim Fell’s background and TELUS’ early adoption of AI 0:15
2. AI tools and internal operations
• Implementation of AI tools for TELUS employees 1:39
• Use of AI for efficiency in various teams 1:50
3. Customer-facing AI applications
• AI as a copilot for customer service agents 2:34
• AI in field operations for dispatching technicians and finding outages 3:01
4. Beyond generative AI
• Use of machine learning for network issues like fiber cuts 4:02
• AI’s role in reducing and preventing outages 4:31
5. AI for network performance
• AI’s potential in diagnosing slow internet issues 5:02
• Aligning data for better network operations 5:34
6. Future of AI in telecommunications
• AI’s impact on live events and network scalability 14:41
• Autonomous networks and power-saving measures 15:32
7. Adoption and trust in AI
• Cultural shift toward AI adoption at TELUS 11:37
• Empowering teams to use AI for business improvements 12:50
8. Conclusion and future priorities
• Focus on data strategy and network diagnostics 16:09
• Emphasis on solving problems with AI 17:06
TELUS offers better and faster connectivity to its 16 million customers across Canada
https://www.juniper.net/us/en/customers/telus-case-study.html
