Ep. 443 | AI Unleashed: Exploring Trends, Strategies, and Best Practices in Marketing

OnBase: Smashing Sales and Marketing Misalignments

Episode Summary

In this episode of Sunny Side Up, Chris Moody interviews Jana Eggers on explainability, trends, and tools in AI marketing. Jana emphasizes the need for transparency to identify and correct biases, urging the prioritization of user needs over technological capabilities. She argues that explainability should not be an afterthought but a fundamental aspect of AI. Chris and Jana discuss trends in AI-driven personalization in marketing, pointing out the need for more nuanced feedback mechanisms. The conversation then shifts to best practices for utilizing AI in marketing strategies. Jana advises a balanced approach, combining trust in AI with human expertise and scepticism.

About the Guest

Jana Eggers is CEO of the neuroscience-inspired artificial intelligence platform company Nara Logics. She’s an experienced tech exec focused on inspiring teams to build great products. She’s started and grown companies and has also led large organizations at public companies. She is active in customer-inspired innovation, the artificial intelligence industry, as well as running and triathlons. She’s held technology and executive positions at Intuit, Los Alamos National Laboratory, Basis Technology, Lycos, American Airlines, Spreadshirt, and more.

Connect with Jana Eggers

Key Takeaways

- Understanding the reasoning behind AI's decisions is crucial for practical sales, marketing, and healthcare applications.

- Transparency in AI helps identify and correct biases, ensuring fair and ethical use of technology.

- Prioritise understanding user needs over purely focusing on technological capabilities.

- Explainability in AI should be viewed not as an add-on but as a crucial element for effective and contextualised user interaction.

- Challenge the 'better results' notion to include practical usability and relevance to users' contexts.

- Engaging with LLMs helps develop a broader understanding and literacy of AI among users and organisations.

- Popular items can sometimes skew AI recommendations, leading to less relevant suggestions.

- The goal is to evolve AI systems to a point where users feel that recommendations are genuinely tailored for them.

- Don't over-trust AI; use it as a tool while maintaining critical thinking and scepticism.

- Employing AI when scaling beyond human capabilities, such as handling multiple data segments, is needed.

Quote

"Tuning these AI systems without having that explainability is really kind of like surgery with your eyes closed." – Jana Eggers

Recommended Resource

Elements of AI: https://www.elementsofai.com

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