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Infographic: How consumers use voice technology

Discover the survey results from TELUS Digital that explore how Americans are using voice technology both personally and professionally.

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Personalization & Loyalty

The Scooter's Coffee recipe for restaurant loyalty program success

Discover how Scooter's Coffee transformed its restaurant loyalty program in just 9 months, driving substantial weekly revenue growth with personalized campaigns. Learn key strategies for QSR digital success.

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Responsible AI

How to define system prompt exfiltration attacks in LLM-based applications

System prompt exfiltration is among the most alarming of LLM attacks. We propose a definition to make prompt exfiltration attacks easier to identify.

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Conversational AI & Voice Tech

ChatGPT Advanced Voice Mode: The future of AI-powered conversations is here

Learn how to unlock a new level of interaction with ChatGPT Advanced Voice Mode, the latest step in emotionally intelligent AI.

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CX Trends

Five key contact center trends you should know for 2025

Discover some notable contact center trends driving innovation in CX, from AI-powered automation to cloud adoption, with research from Frost & Sullivan.

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Digital Experience Best Practices

The strategic value of design directors

Learn how design directors boost ROI on your digital products.

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Responsible AI

AI blue teaming to protect against jailbreaks: LLM-generated guardrails for chatbot input filtering

Input filters are a blue teaming operation and essential to building safe, secure LLMs.

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Generative AI

Fine-tuning large language models: A primer

Companies are eager to leverage the benefits generative AI (GenAI) offers. Implementing the technology, however, isn't a 'plug-and-play' process. Instead, it hinges on a critical task — fine-tuning a pretrained large language model (LLM) to be a specialist at your intended domain or application.

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Responsible AI

From benchmarks to red teaming: Ensuring robust and responsible AI

Learn how to adopt a mindset of continuous evaluation in generative AI, exploring popular benchmarks and AI red teaming methods.

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AI Best Practices

Ready to implement conversational AI? Here are three best practices executives should know

These 3 conversational AI best practices will help you identify and develop new solutions, like natural language search tools, tailored to business goals.

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Data Collection Automotive

ADAS field operations testing: Four essential considerations for program success

Discover the processes involved in field operations testing for enhancing advanced driver assistance systems and key considerations for program success.

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Responsible AI

Next-level AI red reaming: How to automatically categorize LLM attack methods using named entity recognition (NER)

Learn how to automate the evaluation and categorization of LLM attack methods so your AI red team ensures good test coverage and finds vulnerabilities.

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Article

Infographic: How consumers use voice technology

The Scooter's Coffee recipe for restaurant loyalty program success

How to define system prompt exfiltration attacks in LLM-based applications

ChatGPT Advanced Voice Mode: The future of AI-powered conversations is here

Five key contact center trends you should know for 2025

The strategic value of design directors

AI blue teaming to protect against jailbreaks: LLM-generated guardrails for chatbot input filtering

Fine-tuning large language models: A primer

From benchmarks to red teaming: Ensuring robust and responsible AI

Ready to implement conversational AI? Here are three best practices executives should know

ADAS field operations testing: Four essential considerations for program success

Next-level AI red reaming: How to automatically categorize LLM attack methods using named entity recognition (NER)

Be the first to know