While generative AI and large language models often receive inflated acclaim, their true value is found in harnessing intelligence and data-driven insights.
Despite the hype, AI has its shortcomings, such as large language models sometimes being solutions looking for problems and challenges in understanding its impact on advertising and making savvy investment decisions.
In this podcast, Dana Gardner, President & Principal Analyst of Interarbor Solutions, and Paulina Rios Maya, Head of Industry Relations at EM360Tech, discuss why AI should be seen as a transformational technology rather than just another automation tool.
Key Takeaways:
- AI should be viewed as a transformational technology that can refactor our actions rather than just an automation tool.
- Large language models may be a solution in search of a problem, and their high costs and sustainability impacts should be considered.
- Making informed decisions about AI investments requires considering the potential benefits and costs.
Chapters:
00:00 - The Current State of AI Development
02:17 - Viewing AI as a Transformational Technology
03:45 - The Limitations of Large Language Models
05:40 - The Impact of AI on Advertising
06:37 - Navigating the Complexities of AI Investments
