In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss key takeaways from the recent MarketingProfs B2B Forum conference. We cover topics like AI, digital marketing tactics, and generative content. Katie shares insights on non-AI focused sessions and the importance of remembering that technology is just a tool. Chris discusses legal […]
Read More… from In-Ear Insights: MarketingProfs B2B Forum 2023 Takeaways
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative AI governance and adoption in business and how leaders can put effective guardrails in place through understanding employee needs and setting clear expectations. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio […]
Read More… from In-Ear Insights: Generative AI Governance Strategies for Leaders
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to vet and hire the right analytics expert or analytics agency for your business. We cover the importance of having your processes and goals clearly defined before bringing on help, so you can assess if a potential hire or agency […]
Read More… from In-Ear Insights: How to Vet and Hire an Analytics Agency or Employee
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the impact of generative AI on businesses, especially hourly businesses like agencies. They explore the problems with time tracking and utilization rates, and how it breeds inefficiency. Katie shares her experience being forced to innovate on command. Chris talks about the […]
Read More… from In-Ear Insights: Generative AI and the Future of Work
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the important issue of who owns your data. They talk about why companies need to be aware of who has access to their data, especially when using tools like Google Analytics or generative AI models. Katie and Chris explain how you […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris provide a guide to generative AI for the C-Suite and discuss how CEOs should approach understanding and using large language models and AI, starting with identifying business problems first before considering technology solutions. [podcastsponsor] Watch the video here: Can’t see anything? Watch […]
Read More… from In-Ear Insights: The C-Suite Guide to Generative AI
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to mitigate gender bias in AI systems by assessing risk, implementing human review processes, and building an equitable company culture. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the […]
Read More… from In-Ear Insights: Gender Bias and Fairness in Generative AI
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to leverage large language models like ChatGPT with your business analytics data. We talk through real examples of using AI to analyze CRM data for buyer personas, extract tables from PDFs, summarize PowerPoints into executive briefs, transform your data into […]
Read More… from In-Ear Insights: Analytics Use Cases for Large Language Models
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how large language models with perfect memory can assist with competitive analysis. They explain how these tools can quickly synthesize vast amounts of public data to provide insights into competitors’ offerings, differentiation, and performance. Katie and Chris note the importance of […]
Read More… from In-Ear Insights: How To Use Generative AI For Competitive Analysis
In this episode of In-Ear Insights, Katie and Chris discuss how to pick the right AI tools, answering the common question, “Which AI tool should I be using?” We explain starting with the problem, not the tool. Katie recommends the 5 P’s to evaluate AI readiness. We emphasize choosing AI intentionally, testing tools against requirements. […]
Read More… from In-Ear Insights: Which AI Tool Should I Be Using?
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