In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris explore the human side of how to adopt Agile and prompt engineering. Learn how to build trust within your team and address anxieties surrounding AI and automation. Discover strategies for fostering open communication and encouraging ownership among team members, even those hesitant […]
Read More… from In-Ear Insights: How to Help Marketers Adopt Agile and Prompt Engineering
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss using Agile principles for prompt engineering – agile prompt engineering. You will learn the importance of process development and project management when working with large language models (LLMs) like ChatGPT. Discover how to use the 5 P’s framework and the RACE […]
Read More… from In-Ear Insights: How to Apply Agile Prompt Engineering
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris provide a practical guide to prompt engineering, prompt engineering 101. Learn how to approach prompt creation like software development, starting with thorough requirements gathering using the 5 P’s framework. Discover the power of the RACE framework (Role, Action, Context, Execute) for crafting […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris delve into the world of Agile methodology. You will gain a clear understanding of Agile principles and how they compare to traditional waterfall project management. Discover the benefits of Agile for marketing, including increased flexibility, customer-centricity, and the ability to adapt to […]
Read More… from In-Ear Insights: Introduction to Agile Marketing
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle the complex and critical topic of AI ethics. You will explore the fundamental principles of ethics and how they apply to the development and use of artificial intelligence. Discover the importance of transparency, accountability, and minimizing harm when working with AI […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to build an AI strategy. Discover why focusing on AI as a strategy is misguided and what you should do instead to achieve meaningful business outcomes. You’ll learn how to identify the actual problems you need to solve and how […]
Read More… from In-Ear Insights: How to Build an AI Strategy
In this week’s In-Ear Insights, Katie and Chris discuss how the software development life cycle (SDLC) applies to prompt engineering in generative AI, why the prompt development life cycle (or prompt engineering life cycle) is a good idea, and a real-life application of it. Watch the video here: Can’t see anything? Watch it on YouTube […]
Read More… from In-Ear Insights: Prompt Development Life Cycle
In this week’s In-Ear Insights, Katie and Chris review the new Trust Insights PARE Framework and 4 power questions to ask generative AI language models when you’re working with them. These four questions will dramatically improve the performance of generative AI. Get the free download, no strings attached, at: https://www.trustinsights.ai/powerquestions Watch the video here: Can’t […]
Read More… from In-Ear Insights: 4 Power Questions to Ask Generative AI Language Models
In this week’s In-Ear Insights, Chris and Katie discuss generative AI limitations in marketing and why focusing on generative AI might not be the answer to your woes. You’ll learn the best ways to analyze your data to find the true cause of the problem and get actionable steps to turn things around. Watch the […]
Read More… from In-Ear Insights: Generative AI Limitations in Marketing
In this week’s In-Ear Insights, Katie and Chris discuss predictive analytics and applying it to reducing churn throughout the customer journey. Learn what types of predictive analytics apply, how generative AI fits in the mix, and steps you can take to reduce churn. Watch the video here: Can’t see anything? Watch it on YouTube here. […]
Read More… from In-Ear Insights: Predictive Analytics and Reducing Churn
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