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. Watch the video here: Can’t see anything? Watch it […]
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. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the MP3 […]
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
This data was originally featured in the July 26, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/07/inbox-insights-july-26-2023-agency-ai-readiness-ai-podcast-guests/. In this week’s Data Diaries, in celebration both of the ubiquity of the Barbie movie and the endless torrent of news about artificial intelligence, we wanted to bring those two threads together. There are, as one might imagine, a number of […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss takeaways from the recent Marketing AI Conference, MAICON 2023. We talk about the growth of the event, Chris’s generative AI keynote, and share highlights from other speakers on AI regulation, ethics, and impact on jobs. We debate whether agile development processes […]
Read More… from In-Ear Insights: Marketing AI Conference 2023 In Review
Since its release in November 2022, ChatGPT has been lauded as a groundbreaking AI chatbot. However, recent research indicates its capabilities may be declining over time. In this episode of the Trust Insights podcast In-Ear Insights, hosts Christopher Penn and Katie Robbert ask the question: is ChatGPT getting dumber? They discuss findings that ChatGPT appears […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie Robbert and Christopher Penn tackle a common workplace challenge – how to keep teams focused on priorities instead of getting distracted by drama or interpersonal issues. As Katie explains, acknowledging that some level of gossip or emotional venting will happen is key. Trying to […]
Read More… from In-Ear Insights: Workplace Communication and Productivity
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