In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss implementing Responsible AI in your business. Learn how to align AI with your company values, establish accountability, ensure fairness in AI outputs, and maintain transparency in your AI practices. By understanding these elements, you can unlock the true potential of AI […]
Read More… from In-Ear Insights: Responsible AI Part 4: Implementing Responsible AI
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss their key takeaways from the Marketing AI Conference (MAICON) 2024. Learn why scaling AI beyond consumer tools like ChatGPT is crucial for businesses looking to leverage its full potential. Discover why process decomposition is essential for successfully integrating AI into your […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the importance of data privacy when using generative AI for marketing. You’ll discover the risks of blindly trusting AI vendors and the critical role of transparency in building trust with your audience. Learn why a robust AI responsibility plan is not […]
Read More… from In-Ear Insights: Responsible AI Part 3, Data Privacy
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle the issue of bias in AI, particularly managing bias in large language models. Discover real-life examples of how bias manifests and the potential consequences for businesses, including reputational damage and the reinforcement of harmful stereotypes. You will learn about a critical […]
Read More… from In-Ear Insights: Responsible AI Part 2, Managing Bias
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the meaning of “responsible AI,” a term that feels like a buzzword, and how it lacks a common understanding. You will learn why aligning AI with your company values is crucial for reducing harm and ensuring ethical practices. Katie and Chris […]
Read More… from In-Ear Insights: Responsible AI Part 1, Overview
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to use the power of Ideal Customer Profiles (ICPs) to achieve product market fit and accelerate your marketing success. You’ll learn practical strategies for leveraging ICPs to validate your product ideas, ensuring you are building solutions your target audience truly […]
Read More… from In-Ear Insights: Product Market Fit and the Ideal Customer Profile
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss their upcoming MAICON 2024 talks on managing the people who manage AI and the importance of open AI models. Discover why open models give you more freedom and control over your AI than closed models. Learn why marketers should understand both […]
Read More… from In-Ear Insights: MAICON 2024 Trust Insights Talks
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss change management, generative artificial intelligence, and how to help your team embrace AI and what to do with team members who are resistant to AI adoption. Learn why the human element remains critical for successful AI implementation and how to best […]
Read More… from In-Ear Insights: Change Management and Generative Artificial intelligence
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the limitations of generative analytics, particularly for casual users. Discover why subject matter expertise is still essential for accurate data analysis, even with these powerful tools. Learn practical strategies for determining if a task is suitable for generative AI and how […]
Read More… from In-Ear Insights: Limitations of Generative Analytics
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative analytics, a new way to use AI to get more from your data. Discover why simply collecting data isn’t enough and how generative analytics helps you uncover actionable insights. Learn practical ways to apply this approach to your marketing efforts […]
Read More… from In-Ear Insights: What is Generative Analytics?
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