TELUS Digital

Cloud technology is a key enabler for companies looking to provide seamless, tailored experiences. But proper integration hinges on data accuracy. “If the data within an AI tool, such as a chatbot, is unavailable or incorrect, customers will have an unsatisfactory experience and will end up frustratingly calling an agent,” shares Terry Bruder, senior product manager at TELUS Digital, in a recent interview with Customer Experience Magazine (CXM). “To overcome this, companies should implement comprehensive data governance strategies that involve regular data quality audits, ongoing staff training on data management practices, and employing machine learning to improve.” Learn more about how companies can leverage cloud technology effectively to produce more meaningful and engaging customer interactions: https://lnkd.in/gKKuc6SZ

Building a house can take a long time, cost a lot of money and take a great deal of effort. 🔨 That’s without mentioning any unforeseen obstacles along the way. The same can be said about implementing generative AI in CX. Find out how to get the results you’re looking for by identifying narrow use cases mapped to a blueprint: https://lnkd.in/gRDRPxYi #GenAI #CX

We’re excited for CyberArk’s IMPACT World Tour on November 6 in Toronto! As a proud partner, join us to learn more about the evolving threat landscape, attacker techniques, trends and the latest innovations in cybersecurity. Gain insight into best practices, success stories and the latest tips and tricks to protect your company and customers. Register today! https://lnkd.in/gGU4mFec    #IWT2024 #cybersecurity

Voice technology is reshaping our world, transforming how customers live, work and connect with brands. Our latest TELUS Digital survey reveals an intriguing insight: While 100% of Gen Z is familiar with voice technology, only 52% use it regularly. This generation has the highest level of expectations for performance and reliability—and they're not afraid to walk away. In fact, 35% will abandon voice applications or devices that don't perform flawlessly, compared to 26% of other generations. As voice technology continues to evolve, brands must deliver seamless, reliable experiences that meet the expectations of every generation. Dive deeper into our survey findings: https://lnkd.in/gvxKjrzE #VoiceTechnology #GenZ #CX

Customer experience leaders, are you looking to win more CX investment? 💵 On the newest episode of "Questions for now," expert guests share strategies for planning, negotiating and optimizing your CX budget. Guests include: • Jeannie Walters, CCXP, CSP, CX expert, host of the Experience Action podcast and CEO of Experience Investigators • Mark Raffan, negotiations expert, host of the Negotiations Ninja podcast and CEO of Negotiations Ninja • Alain Méric, vice president of sales at TELUS Digital 🎧 Listen to the full episode: https://lnkd.in/guvMkzhK #QuestionsForNow #CustomerExperience #CXInvestment

Visit our incredible team at booth I-17 at TechCrunch Disrupt until 5 p.m. PT tomorrow (Wednesday, October 30). Whether you’re looking for a reliable AI Data Solutions partner or simply want to explore our cutting-edge offerings, we’re looking forward to connecting with you. Stop by and say hello! #TechCrunchDisrupt2024

Maintain trust and keep your brand strong. See how our team can help you develop a robust content moderation strategy: https://lnkd.in/gvh7Xp-N #ContentModeration #TrustAndSafety

CX Leaders! Learn how AI and automation can help you make informed business decisions, from experts at TELUS Digital and guest, Forrester. Watch the webinar to gain insight on how to drive CX success with AI and automation in CCaaS: https://lnkd.in/giCbHdPQ

Retrieval augmented generation (RAG) in large language models (LLMs) can efficiently retrieve and generate relevant information. However, the quality of the output depends heavily on the accuracy and relevance of the underlying data. RAG-related errors can hinder the effectiveness of your model and lead to inaccurate or generic responses. To ensure your model’s responses are grounded in real-world data, it’s essential to optimize for accuracy to avoid RAG-related errors. Learn more about these errors and how to address them in the slides below. #RAG #LLM

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