CMOs, Are You Using Discriminative or Generative AI?

In this interview, Neil Morrison, Global Head of Measurement at Signal AI, discusses key advancements in AI as discriminative AI, which allows for the identification of specific concepts within unstructured data. Morrison explains that discriminative AI enables companies to track their brand mentions, identify relevant topics, and measure their performance against competitors. Companies can gain insights into their brand expertise and trust score by analyzing media coverage. Morrison emphasizes the importance of understanding the full scope of AI capabilities and distinguishing between discriminative AI and generative AI.Neil also talks about the importance of tracking brand reputation and thought leadership content in today's media landscape. He explains how discriminative AI can identify key topics and sentiments to help companies establish trust and expertise. Businesses can effectively forecast and target their thought leadership content by analyzing data, leading to better decision-making and financial impact."If you think about trust, it is a key element of reputation, and reputation has a financial element to it. One of our consulting clients has put a financial figure on how much trust impacts their business—and it goes into the billions." - Neil MorrisonNeil eloquently demonstrates the power of thought leadership in shaping brand reputation and how trust cannot be underestimated. He explains why companies must track their brand mentions, measure their trust score, and strategically target thought leadership topics to stay ahead of the competition.Follow Neil Morrison on LinkedInFollow host Steve MacDonald on LinkedIn

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