How AI Reasons About Data - AI beyond the surface-level

How AI Reasons About Data - AI beyond the surface-level

How AI Reasons About Data - AI beyond the surface-level

Artificial Intelligence (AI) has been a buzzword in marketing circles for years. We hear about 'the algorithms' and use AI-based tools for various tasks, from sentiment analysis to creative generation. However, the inner workings of these AI tools often remain a mystery. In a recent session at Technology for Marketing, Nihir Vedd took the stage to demystify the complexity of AI, offering an accessible guide on how these next-generation systems think and reason about data. This deep dive into the mechanics of AI not only provides invaluable knowledge but also empowers marketers and advertisers to maximise the potential of the AI tools already at their disposal.


🎤 Listen to the Full Session: 


Key Takeaways:

1. The Power of Vectors in AI Applications:

Nihir emphasised the significance of vector-based representations in AI applications. Whether it's search engines, image tagging, targeting algorithms, or CRM systems, vectors play a crucial role as numerical definitions for words and concepts.

2. Evolution of Search Engines Using Vectors:

The evolution of search engines towards utilising vectors for semantic searches was explored. By incorporating vectors, search engines enhance the relevance of search results, making them more contextually accurate.

3. Vectors in Image Tagging for Enhanced Recognition:

The talk delved into how vectors contribute to image tagging, allowing AI systems to associate vectors with faces and objects. This approach significantly improves image recognition capabilities, leading to more accurate and nuanced results.

4. Vectors in Targeting Algorithms for Advertising:

In the context of advertising, Nihir explained how vectors become representations of customer profiles in targeting algorithms. This, in turn, facilitates more effective ad targeting and personalisation based on user preferences and behaviours.

5. Accessibility of Vector-Based AI:

Nihir acknowledged the importance of making vector-based AI accessible, especially for smaller companies and startups. He highlighted the cost-effective option of leveraging pre-trained models, enabling businesses to harness the power of vectors without a significant financial investment.

6. Addressing Bias in AI Models:

The talk didn't shy away from addressing the prevalent issue of bias in AI models. Nihir discussed ongoing efforts within the AI community to mitigate biases, ensuring fair and equitable outcomes in various applications.


In a landscape dominated by AI, understanding the reasoning behind the algorithms is not just a choice but a strategic advantage for marketers. Nihir Vedd's session provides a roadmap to navigate the complexities of AI, empowering marketers to harness its full potential and stay ahead in the ever-evolving field of marketing. The era of demystifying AI has dawned, and marketers are invited to step into the realm of understanding for unparalleled success.

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