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
In this week’s In-Ear Insights, Katie and Chris reflect on lessons learned from Social Media Marketing World 2024. With generative AI taking center stage both literally and figuratively, what does that mean for social media marketers? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to […]
Read More… from In-Ear Insights: Lessons Learned from Social Media Marketing World 2024
In this week’s In-Ear Insights, Katie and Chris discuss how to do practices like predictive analytics and classical AI/machine learning when you’re data-poor. What data is available to forecast and work with? How do you create data when you don’t have it, and what strategic advantage might this confer? Tune in to find out! Watch […]
Read More… from In-Ear Insights: Predictive Analytics If You’re Data-Poor
In this week’s In-Ear Insights, Katie and Chris discuss generative AI impact on search engine marketing. What is the impact of services like ChatGPT, Google Gemini, Perplexity, and Microsoft Copilot on traditional SEO and search? Tune in to find out, and what steps you should take to prepare for the future. Watch the video here: […]
Read More… from In-Ear Insights: Generative AI Impact on Search Engine Marketing
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the impact of generative AI and job losses and its role in the corporate world. They debate the consequences of replacing human roles with AI, emphasizing the risks and short-term thinking involved in such decisions. The episode explores the evolving nature […]
Read More… from In-Ear Insights: Generative AI and Job Losses
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the crucial role of analytics in digital marketing and how it’s often seen as the bearer of bad news. They explore the common pitfalls companies face when they only sporadically review data, leading to missed opportunities for timely adjustments. Katie emphasizes […]
Read More… from In-Ear Insights: Strategic Value of Analytics
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