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The AI in Business Podcast
Overcoming Barriers to AI Adoption in Telecom and Beyond - with Moutie Wali of TELUS
Jan 27, 2025
Moutie Wali, Director of Integrated Planning & Digital Transformation at TELUS, brings his expertise in data governance to the discussion. He tackles the nuances of AI adoption in telecom, emphasizing the vital balance between data privacy and security. Moutie highlights the role of stakeholders in navigating new regulations like the EU AI Act and the need for collaboration with regulators. He also shares insights on leveraging data management practices while cautiously experimenting with AI to enhance customer experiences in the rapidly evolving telecom landscape.
19:47
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Quick takeaways
- Data privacy and security are paramount in AI adoption for telecom, necessitating a centralized data infrastructure to mitigate risks.
- Collaboration between industry leaders and regulators is vital for navigating AI regulations and optimizing the integration of AI technologies.
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Challenges of AI Adoption in Telecom
Data privacy represents a significant challenge for AI adoption within the telecom industry, as companies manage sensitive customer information that must remain secure. Organizations are exploring ways to implement AI solutions without exposing their data to potential security breaches or other risks. To successfully integrate AI, companies must first assess the availability and organization of their data, as much of it may be fragmented across various systems or formats. Establishing a centralized, digitized data infrastructure is critical, allowing for the effective use of AI to derive insights and make informed decisions.
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