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AI DatawebinarAre you ready for the era of agentic AI?
AI DatawebinarAre you ready for the era of agentic AI?
Join Steve Nemzer, director of AI growth and innovation for TELUS Digital, as he unveils the transformative world of agentic artificial intelligence (AI). Learn what makes AI “agentic”, various use cases and implementation best practices to benefit your organization.
AI DatawebinarAre you ready for the era of agentic AI?
Join Steve Nemzer, director of AI growth and innovation for TELUS Digital, as he unveils the transformative world of agentic artificial intelligence (AI). Learn what makes AI “agentic”, various use cases and implementation best practices to benefit your organization.
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Digital customer experience priorities in 2025
Customer ExperienceDigital customer experience priorities in 2025
Discover the digital customer experience priorities of enterprise leaders with survey results from TELUS Digital, in collaboration with Statista.
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Execs In The Know: 2025 CX Leaders Trends & Insights
Customer ExperienceExecs In The Know: 2025 CX Leaders Trends & Insights
Access the latest survey results and stay on top of CX developments in 2025 with this new report by Execs In The Know, sponsored by TELUS Digital.
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Latest Insights
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Customer experience (CX) is evolving — and your measurement strategy should too. Discover how next-generation KPIs can offer deeper insight into CX performance, from customer effort and journey satisfaction to agent engagement and digital maturity.
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With their expansive capabilities and ability to solve complex problems, multimodal models are poised to transform the functionality of AI in the next generation of applications.
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Explore the next-gen key performance indicators organizations should add to their measurement framework to track digital transformation and process optimization success.
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Discover how organizations can formulate a more comprehensive approach to measuring agent experience using next-gen key performance indicators.
BrochureAI DataAutomotiveHigh-quality driving dataset for training and validating ADAS and AV models
Train autonomous vehicle models and advanced driver assistance systems using diverse, real-world scenarios captured through high-fidelity, multi-sensor setups synchronized with timestamps for precise accuracy. The dataset has minimal route repetition in varied weather and lighting conditions, supporting advanced L4 / L5 applications.
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