Growth models as we adapt and innovate with AI

The FIBEP Media Intelligence Explained podcast, hosted by Alicja Boors and Vlado Petkov, explores diverse facets of the media intelligence industry, specifically examining the influence of advanced technologies such as large language models. Aseem Sood, the Chief Executive Officer of Impact Research and Measurement, contributes valuable insights as a guest. Alicja, a product lead at Ruepoint with a humanities background, and Vlado, the CEO of Identics.

The podcast begins by delving into the dynamic landscape of media intelligence, with a focus on the transformative impact of models like ChatGPT. The hosts and guest provide context by discussing recent events in the AI field, covering global hype, API integration, open-sourcing trends, and the process of model compression and distillation. Risks associated with large language models, including data and knowledge leakage, as well as regulatory challenges, are thoroughly explored. As Alicija mentioned: “the knowledge leakage is actually a big risk if you are not doing your own local language models”.

As the conversation progresses, Alicja and Vlado pose key questions about the future of the media intelligence industry. They inquire about potential directions, innovations, and the impact on traditional reporting services like newsletters.

The hosts transition to a discussion about the unique challenges and opportunities for media intelligence in Asia compared to other regions. They explore how the industry in Asia is adapting to diverse linguistic and cultural landscapes and highlight trends specifically relevant to Asian markets.

The episode concludes with a thought-provoking discussion on the consolidation of players in the digital space, potential biases in AI systems, and concerns about big tech leveraging AI capabilities. The panelists share diverse perspectives on the delicate balance between regulations and ethics in AI development. In summary, the podcast provides a comprehensive exploration of the challenges, opportunities, and ethical considerations in the media intelligence industry amid the rapid evolution of AI technologies