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Matthew Lynley, AI industry news reporter, chats with the hosts about the complex and fast-moving AI landscape. Topics include emerging startups, questioning the value of the AI ecosystem, different categories in the industry, the use of unstructured data in AI training, and staying calm when facing challenges in AI technologies.
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Quick takeaways
- Identifying specific business needs and aligning AI solutions with organizational goals can help analysts make sense of the complex AI landscape and deliver value.
- Considering common use cases and evaluating how AI applications can contribute to performance objectives rather than adding AI for the sake of it.
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The Challenges of Navigating the AI Landscape
The AI landscape is vast and complex, with numerous platforms and technologies that make it challenging to stay on top of the rapid advancements. Companies are often driven by the desire to be perceived as innovative and are eager to incorporate AI into their operations. However, determining the practical applications and measuring the value of AI can be difficult amidst the hype. Analysts can approach this by identifying specific business needs, aligning AI solutions with organizational goals, and focusing on measurable outcomes.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode