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Integrating Human Expertise and Machine Learning for Enhanced B2B Personalization

Integrating Human Expertise and Machine Learning for Enhanced B2B Personalization

Enhancing B2B Personalization with Human-ML Integration

Practical Solutions and Value

Integrating human expertise with machine learning (ML) can enhance personalized services for business-to-business (B2B) companies. By combining human insights with ML algorithms, above-average performance metrics like precision, recall, and F1 scores can be achieved, improving personalization in B2B applications.

Enhancing Machine Learning with Human Insights

Practical Solutions and Value

Human expertise can enhance ML by improving model interpretability, selecting features and algorithms, and ensuring fair and ethical outcomes. This collaboration is valuable in B2B personalization, optimizing recommendations, and addressing data limitations.

Research Framework for Human-AI Integration

Practical Solutions and Value

A proposed framework integrates human insights throughout the ML process, starting with theoretical foundations, expert input in ML techniques, and relevant feature selection. This approach aims to enhance model effectiveness by integrating human expertise with data-driven methods.

Methods

Practical Solutions and Value

The study investigates an integrated human-ML model-based PIS in the energy sector, blending traditional data mining methodologies with human insights. This approach aims to enhance model effectiveness by integrating human expertise with data-driven methods.

Empirical Research

Practical Solutions and Value

The study developed a human-ML integrated PIS for the energy sector, focusing on B2B transitions to sustainable energy. The ML model, implemented in Python, was tested through feedback rounds, confirming the model’s effectiveness.

Discussion and Implications

Practical Solutions and Value

The study presents a model integrating human expertise into the data mining framework to enhance ML processes for B2B personalization. It highlights the benefits of combining human insights with ML for improved personalization and addresses concerns about ML biases.

Sources

https://www.researchgate.net/publication/377056614_Augmenting_machine_learning_with_human_insights_the_model_development_for_B2B_personalization

If you want to evolve your company with AI, stay competitive, use for your advantage Integrating Human Expertise and Machine Learning for Enhanced B2B Personalization.

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Vladimir Dyachkov, Ph.D
Editor-in-Chief itinai.com

I believe that AI is only as powerful as the human insight guiding it.

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